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Prickly Ash Seed Kernel: A New Bio-Fumigation Material Against Tobacco Black Shank

Prickly Ash Seed Kernel: A New Bio-Fumigation Material Against Tobacco Black Shank agronomy Article Prickly Ash Seed Kernel: A New Bio-Fumigation Material Against Tobacco Black Shank 1 ,y 2 ,y 2 1 , 3 1 Yaochen Wang , Minghong Liu , Xiaobin Han , Yanfen Zheng , Jianmin Chao 1 , 3 , and Cheng-Sheng Zhang * Marine Agriculture Research Center, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao 266101, China; wangyaochen2020@163.com (Y.W.); zhengyanfen@caas.cn (Y.Z.); caojianmin@caas.cn (J.C.) Biological Organic Fertilizer Engineering Technology Center of China Tobacco, Zunyi 563100, China; lmh859@163.com (M.L.); hanxiaobin2011@163.com (X.H.) Special Crops Research Center of Chinese Academy of Agricultural Sciences, Qingdao 266101, China * Correspondence: zhangchengsheng@caas.cn y These authors contributed equally to this work. Received: 21 April 2020; Accepted: 27 May 2020; Published: 28 May 2020 Abstract: The present study evaluated the fumigant e ect and potential mechanisms of Chinese prickly ash seed kernel (PSK) against tobacco black shank caused by Phytophthora nicotianae Breda de Haan. The results showed that PSK fumigant increased the soil organic matter, hydrolysable nitrogen, available potassium, and total phosphorus significantly, while the pH was decreased. Application of 2% PSK promoted plant growth, with higher plant height, root length, and dry weight compared to those in the treatment with no PSK. Both in vitro and in vivo tests indicated that PSK fumigant e ectively inhibited mycelial growth of P. nicotianae, and significantly reduced the severity of tobacco black shank. Based on the analysis of volatiles in PSK by headspace solid-phase microextraction (HS-SPME) gas chromatography-mass spectrometry (GC-MS), 28 components were identified, among which monoterpenes were the major components (accounting for 79.46% of peak area). Among the six top components, linalool, piperitone, sabinene, and limonene exhibited strong mycelial inhibition of P. nicotianae. Linalool was the most e ective with an IC value of 18.03 L/L. Results of GC-MS revealed that the main components of PSK extract were cis-Vaccenic acid (40.81%), n-Hexadecanoic acid (15.67%), 9,12-Octadecadienoic acid (Z,Z)- (15.25%), Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- (10.32%), cis-9-Hexadecenoic acid (6.21%), and Psilocin (11.75%). Among them, Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- and 9,12-Octadecadienoic acid (Z,Z)- have an obvious inhibitory e ect on P. nicotianae. Additionally, changes in soil bacterial and fungal communities were observed. The relative abundance of some microbes, such as Pseudomonas, Azospirillum, Thermomonas, Glutamicibacter, Dyella, and Trichoderma, increased, which have many beneficial microbes in these genera, indicating that microbial community shift could be one of the important outcomes of the PSK fumigant e ect. In conclusion, PSK could be a new bio-fumigation material against plant soilborne pathogens, which can function as both a fungicide and fertilizer. Keywords: volatiles; fumigant e ect; Phytophthora nicotianae; disease suppression; antifungal activity; soil microbial community 1. Introduction Tobacco black shank is a critical soilborne oomycete disease caused by Phytophthora nicotianae Breda de Haan [1]. In China, the epidemic area of the disease is more than 76,372 ha, and the direct economic loss is above a billion dollars. Currently, the application of chemical fungicides, such as Agronomy 2020, 10, 770; doi:10.3390/agronomy10060770 www.mdpi.com/journal/agronomy Agronomy 2020, 10, 770 2 of 14 Metalaxyl Mancozeb, is the main control method, which has caused a series of problems, including high pesticide residues in tobacco leaves, environmental pollution, and pathogenic resistance to fungicides [2]. The increasing concern about the environment and human health prompted a general desire to reduce such fungicide inputs, and hence, the development of other e ective, eco-friendly control methods has been a very urgent issue. Recently, there is a growing interest in bio-fumigation, which is recognized as a new agro-ecological approach for soilborne disease management [3]. Bio-fumigation is defined as a method to suppress soilborne pests and diseases using volatiles produced by organic substances (such as plant residues) [4] as well as some microbes [5]. Crops from Brassicaceae and Asteraceae are the main plants used as biofumigants. These plants contain secondary plant metabolites called glucosinolates (GSLs), which are believed to be involved in plant defense. As Brassica crops produce nitriles, thiocyanates, and isothiocyanates (ITCs), they have been used to control a range of soilborne pests and pathogens [6,7]. However, studies on other plants with bio-fumigation potential are limited [8,9]. In addition, previous studies mainly focused on the selection and disease suppression e ects of fumigation materials, but reports of their e ects on soil nutrients and microbial community were fewer [10]. Chinese prickly ash (Zanthoxylum bungeanum) is an important economic crop in China, with an annual planting area of about 1,000,000 hectares. Recently, there is an increasing interest in the cultivation of Chinese prickly ash owing to its great economic significance (important condiment and traditional Chinese medicine) as well as ecological value (such as the greening of barren hills and rocky desertification control). The prickly ash seed kernel (PSK), known as Jiaomu in Chinese traditional medicine, is the seed of Chinese prickly ash after drying and peeling. As the main by-product of the prickly ash industry, more than 1.5 billion kilograms are discarded as agricultural waste annually, which results in the wastage of the natural resource. In fact, PSK is rich in nutrients and bioactive components, and its anthelmintic function has been recognized by the Chinese since ancient times. Recent studies revealed that proper application of PSK can not only improve the physical and chemical properties of soil, promote the growth of tomato plants but also e ectively inhibit the occurrence of root-knot nematodes. The killing mechanism is mainly attributed to the rich D-limonene and linalool in PSK [11]. Therefore, the study of PSK as soil fumigant is of great significance. However, few reports have described the fumigation e ect of PSK on soilborne pathogens. We evaluated the fumigation ecacy of PSK, identified potential antimicrobial components, discussed the possible fumigation mechanism, and analyzed the e ect of PSK on soil microbial ecology. 2. Materials and Methods 2.1. Biological Materials PSK of Zanthoxylum bungeanum, commonly called Dahongpao, the main local cultivar, were collected from the Shanting District, Shandong province of China. Phytophthora nicotianae (Pn) strain JM01, the pathogen, was maintained in our laboratory [12]. The tested tobacco variety was “Xiaohuangjin 1025”, which is susceptible to tobacco black shank disease. 2.2. HS-SPME GC-MS Method The extract of PSK was prepared by ethanol–petroleum ether method, according to Dong et al. (2016) [13]. Headspace solid-phase microextraction (HS-SPME) was chosen as the method for volatile compound sampling. The so-called sandwich-type (Divinylbenzene/Carboxen/Polydimethylsiloxane, Supelco, Bellefonte, PA, USA) fiber was used for the absorption of PSK volatile compounds. For sampling volatile compounds, the SPME fiber was inserted into the headspace of sample vial containing 10 g PSK at 25 C for 20 min. When the sampling was completed, the SPME fiber was then removed from the sample vial and immediately inserted into the gas chromatography (GC) injector at 250 C for 5 min with a split ratio of 10:1. The used SPME fiber was conditioned at 250 C for 5 min prior to the next sampling. Agronomy 2020, 10, 770 3 of 14 The gas chromatography-mass spectrometry (GC-MS) analyses were done with an Agilent 7890–5975C GC-MSD system (Santa Clara, CA, USA) with a DB-5 MS fused-silica capillary column (30 m 0.25 mm i. d, 0.25 m film thickness). The injection volume was 1.0 L in split less mode with an inlet temperature of 250 C, and helium was used as the carrier gas at a flow rate of 1.0 mL min . The analyses were carried out in programmed mode, the initial oven temperature was held at 45 C for 2 min, ramped to 200 C at 5 C/min, held for 2 min, ramped to 320 C at 15 C/min, then held for 3 min. The transfer line, the ion source, and quadrupole analyzer temperatures were 280, 230, and 150 C, respectively. The ionization mode was the electron impact at 70 eV. The mass spectra plot was acquired using full scan monitoring mode with a mass scan range of m/z 35-450. The acceleration voltage was turned on after a solvent delay of 3 min. The GC analyses were done with an Agilent 7890 GC system. The flame ionization detector (FID) detector temperature was set to 300 C and the same operational conditions applied to a duplicate of the same column used in GC/MS analyses. The flow rate of carrier gas was adjusted to obtain the same retention times with GC/MS analyses. 2.3. Chemical Composition of PSK Volatiles and Extracts The identification of volatile components was based on the calculated retention indices (RI) and on the comparisons of obtained mass spectra with those of reference compounds, available in the NIST (National Institute of Standards and Technology, Gaithersburg, MD, USA) library. The retention indices were determined in relation to a homologous series of n-alkanes (C7–C30) under the same operating conditions. The relative percentage amounts of the separated compounds were calculated from the integration of the peaks in flame ionization detector (FID) chromatograms. 2.4. Mycelia Inhibition E ect of PSK Volatiles and Extracts Extracts of PSK and its five main constituents(cis-Vaccenic acid, n-Hexadecanoic acid, 9,12-Octadecadienoic acid (Z,Z)-, Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)-, and cis-9-Hexadecenoic acid) were evaluated for fumigation effect on Pn with flat plate confrontation method [14]. PSK and its five main constituents (sabinene, piperitone, limonene, linalool, and myrcene) were evaluated for fumigation effect on Pn mycelial growth with a modified sealed-plate method. A mycelial disc (5 mm) was inoculated to the center of an OA (oatmeal agar) plate, and PSK powders (1, 2, 4, 6 g, respectively) and the diluted constituents (4.92, 9.84, 19.69, 39.37, 78.74, 157.48, and 314.96 L/L) were added to the Petri dish cover, sealed with parafilm, incubated at 28 C for 4 days, and the colony diameter was determined using the cross–cross method [14]. Each treatment was repeated three times, and the plate with no PSK or constituent addition served as a control. Mycelial growth inhibition rate was calculated according to Han et al. (2019) [15]. 2.5. Pot Experiment The method of Pn inoculum preparation was as follows. The millets were boiled with water until two-thirds of the seed hulls were ruptured. Filtrated with gauze, aired (with 15% of water content), and placed in flasks for sterilization (121 C, 20 min). Pn was reactivated on oatmeal agar (OA) medium for seven days. Then, mycelial discs (diameter 5 mm, 3 discs per flask) were inoculated on millet medium and incubated for 14 days at 26 C. Soil for the experiment was from the field of Jimo base, Tobacco Institute, Chinese Academy of Agricultural Sciences, type loam, which was sterilized by dry-heat method (160 C for 5 h). After cooling, the pathogenic soils (PS) were prepared by blending the millet with Pn infection (5 g per kg). PSK were powdered, sieved, and added to the pathogenic soils (2% and 6% PSK content). Soils with no PSK addition served as control. The soils were covered with plastic film for 30 d, each treatment with 15 tobacco seedlings (1 plant and 20 kg of soil per pot)—all with three replicates. The disease index was calculated at 10 d and 20 d, according to Han et al. (2016) [16], with the agronomic characters measured at 30 d. Three plants were randomly selected from each treatment for measurement. Then soils were sampled to analyze chemical indices. The pH value of soil water extract (soil:water, 2.5:1) was measured Agronomy 2020, 10, 770 4 of 14 using the potentiometric method. The electrical conductivity (EC) was measured by the Shanghai Thunder Magnetism DDS-11A Conductivity Meter (Shanghai, China). Soil chemical properties were determined according to the method described by Bao (2005) [17]. The soil organic matter content was determined by oxidation–reduction–titration using furnace digestion. Soil alkali-hydrolyzed nitrogen (AN) content was determined by the alkali-hydrolyzed di usion method. The NaHCO extraction Mo-Sb anti-spectrophotometry method was used to determine the available phosphorus (AP) in soil, and the total phosphorus (TP) was assayed with the alkali fusion-MO-Sb anti-spectrophotometric method. The available potassium (AK) was measured by the NH OAc (1 M) extraction–flare photometer method. All with three replicates. 2.6. E ect of PSK on Soil Microbial Community DNA of rhizosphere soil [18] was extracted and purified by a DNeasy®PowerSoil®Kit (Qiagen, Hilden, Germany). The total soil DNA was amplified using the bacterial V4 region of 16S rRNA genes (515F and 806R) primer) and fungal ITS1 (internal transcribed spacer) region of 18S rRNA genes (ITS5-1737F, ITS2-2043R). All PCRs were carried out with a Phusion®High-Fidelity PCR Master TM Mix (New England Biolabs, Ipswich, MA, USA). PCR products were purified with a Gene JET Gel Extraction Kit (Thermo Scientific, Waltham, MA, USA). Finally, 250 bp paired-end sequencing and construction of the gene clone libraries were performed at Novogene (Beijing, China) using the Illumina HiSeq 2500 platform. Three plants were randomly selected for sampling in each treatment. Quality filtering of the raw tags was performed under specific filtering conditions to obtain high-quality clean tags [19], according to the Quantitative Insights Into Microbial Ecology (QIIME) (http://qiime.org/index.html) [20] quality-controlled process. The chimera sequences were removed using the Ultra-fast sequence analysis (UCHIME) (http://www.drive5.com/usearch/manual/uchi-me_ algo.html) [21]. The obtained e ective tags were clustered and annotated with Uparse (http://drive5com/ uparse/). Each operational taxonomic unit (OTU) was defined as a cluster of reads with a 97% sequence identity. For each representative bacterial sequence, the Silva Database (http://www.arb-silva.de/) was used based on the Mothur algorithm to annotate taxonomic information, with the fungal sequence annotated by UNITE (v 7.2) Database (https://unite.ut.ee/). Alpha diversity is used to analyze the complexity of species diversity for a sample through observed species, Chao1, Shannon, and ACE. For our samples, all of these indices were calculated with QIIME (Version 1.7.0), and were displayed using R software (Version 2.15.3). Nonmetric multidimensional scaling (NMDS) of the microbial communities based on OTU composition was carried out using the Bray–Curtis similarity metric in the Past software package, version 2.03 [22]. Analysis of molecular variance (AMOVA) is a nonparametric analysis method, which can test the significance of di erences between groups based on the distance between samples. AMOVA analysis used the AMOVA function of Mothur software. Canonical correspondence analysis (CCA, used CCA function in the vegan package) was used to display the relationship between microbial group (at genus level), soil chemical properties (soil pH, organic matter, hydrolyzable nitrogen), and disease index. CCA was performed using R-2.15.3 for Windows. The Mantel test used the vegan package in R, according to the species matrix and the data matrix of environmental factors provided. The vegdist function was used to transform the distance matrix of the two kinds of data, and then the mantel function was used to analyze the Spearman correlation of the two kinds of matrices to get the r and P values. 2.7. Data Analysis Microsoft Oce Excel 2016 was used for data processing; IBM SPSS Statistics version 24.0 was used for variance analysis and correlation analysis. Significance was evaluated at P < 0.05 for all tests. The results of the assays of inhibitory activity, soil properties, and disease index are presented as the means  standard error of triplicate experiments. The half-maximal inhibitory concentration (IC ) values were calculated using regression analysis of the logarithmic values of component concentrations Agronomy 2020, 10, 770 5 of 14 and probability values of the corresponding inhibition rate. Analysis of variance (ANOVA) and multiple comparisons were performed using Duncan’s method. Evaluations with P < 0.05 were considered significant. 3. Results and Discussion 3.1. Components of PSK Volatiles and Extracts GC-MS revealed that the main components of PSK extract were cis-Vaccenic acid (40.81%), n-Hexadecanoic acid (15.67%), 9,12-Octadecadienoic acid (Z,Z)- (15.25%), Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- (10.32%), cis-9-Hexadecenoic acid (6.21%), and Psilocin (11.75%) (Table A1). Based on HS-SPME GC-MS analysis, 28 components were identified, representing 89.85% of PSK volatiles (Table 1). These volatiles belonged to alcohols (2), aldehydes (5), ketones (2), monoterpenes (18), and sesquiterpenes (1). Monoterpenes were the major components, accounting for 79.46% of the peak area. The compounds observed in higher percentages (> 5%) were sabinene, D-limonene, -Myrcene, -phellandrene, piperitone, and linalool. There were another 10 constituents with a proportion of more than 2%, -pinene, -terpinene, -cis-ocimene, -terpinene, trans-sabinene hydrate, terpinolene, nonanal, L-4-terpineol, -terpineol, and xanthoxylin. Additionally, two unknown components accounted for 10.15%. Previous studies have investigated the volatile compositions of the pericarp and essential oil from dried Z. bungeanum [23,24]. To our knowledge, this is the first report to identify the volatile components of PSK. However, most of the volatiles reported were associated with Zanthoxylum in previous studies [23,25]. In line with our results, Sriwichai et al. (2019) [26] found that sabinene, terpinene-4-ol, L-limonene, -phellandrene are dominant constituents of essential oils extracted from Z. myriacanthum dried fruit. Similarly, Fu et al. (2018) [27] observed that linalool and D-limonene were major volatiles obtained from dried Z. bungeanum fruit. It is worth pointing out that fewer components were detected in PSK volatiles than in the pericarp volatiles and essential oils from Z. bungeanum [23]. The above results indicated that the PAS contained similar major volatiles, but di erent contents compared to that in the pericarp. Interestingly, xanthoxylin, a valuable component found in the pericarp, was also detected in PSK volatiles, further proving the beneficial e ects of using PSK. Xanthoxylin has been reported to have antibacterial and insecticidal activities [27,28]. Table 1. Volatile composition of prickly ash seed kernel by headspace solid-phase microextraction fiber combined with gas chromatography coupled with flame ionization detection. Retention Index Peak Area Compounds Identity (%) Class Percentage (%) Literature Experiment Hexanal 800 799 98 I 1.16 1-Hexanol 868 864 96 II 0.20 Heptanal 901 898 97 I 0.62 1 6 Un 922 NA 4.39 (R)- -Pinene 929 928 96 III 2.36 Sabinene 974 972 97 III 13.45 -Pinene 975 974 95 III 1.15 -Myrcene 991 989 98 III 7.72 Octanal 1003 1003 98 I 2.00 -Phellandrene 1005 1003 95 III 1.01 -Terpinene 1017 1013 95 III 2.19 o-Cymene 1022 1020 94 III 1.90 D-Limonene; -Phellandrene 1031 1026 95 III 16.93 Un 1032 NA 5.76 -cis-Ocimene 1038 1041 94 III 3.01 -Terpinene 1054 1051 95 III 3.58 Agronomy 2020, 10, 770 6 of 14 Table 1. Cont. Retention Index Peak Area Compounds Identity (%) Class Percentage (%) Literature Experiment trans-Sabinene hydrate 1061 1064 95 III 2.27 1-Octanol 1071 1067 97 III 0.52 Terpinolene 1083 1080 97 III 2.27 Linalool 1099 1101 93 III 6.22 Nonanal 1104 1106 98 I 2.18 L-4-terpineneol 1182 1181 95 III 2.30 Crypton 1184 1185 96 IV 1.19 Agronomy 2020, 10, x FOR PEER REVIEW 6 of 15 -Terpineol 1198 1195 97 III 2.06 Decanal 1206 1206 99 I 0.53 Terpinolene 1083 1080 97 Ⅲ 2.27 Piperitone 1260 1261 94 III 8.36 Linalool 1099 1101 93 Ⅲ 6.22 -Terpinyl acetate 1350 1351 95 III 1.49 Nonanal 1104 1106 98 Ⅰ 2.18 Caryophyllene L-4-terpineneol 1419 1182 1422 1181 95 97 Ⅲ III 2.30 0.68 Crypton 1184 1185 96 Ⅳ 1.19 Xanthoxylin 1675 1678 92 IV 2.49 α-Terpineol 1198 1195 97 Ⅲ 2.06 1 2 3 4 5 Un means unidentified component; I, II, III, and IV mean aldehyde, alcohol, monoterpene, and ketone, Decanal 1206 1206 99 Ⅰ 0.53 respectively; NA means not available. Piperitone 1260 1261 94 8.36 α-Terpinyl acetate 1350 1351 95 Ⅲ 1.49 Caryophyllene 1419 1422 97 Ⅲ 0.68 3.2. Antifungal E ects of PSK Against Phytophthora Nicotianae Xanthoxylin 1675 1678 92 Ⅳ 2.49 1 2 3 4 5 Un means unidentified component; I, II, III, and IV mean aldehyde, alcohol, monoterpene, and Among components of extract, Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- and ketone, respectively; NA means not available. 9,12-Octadecadienoic acid (Z,Z)- have an obvious inhibitory e ect on P. nicotianae, and an 3.2. Antifungal Effects of PSK Against Phytophthora Nicotianae antifungal belt is obvious around the dosing hole. But other compounds had no observed e ect. Among components of extract, Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- and 9,12- The sealed-plate experiment revealed that the volatile components of PSK exhibited inhibitory activity Octadecadienoic acid (Z,Z)- have an obvious inhibitory effect on P. nicotianae, and an antifungal belt on the growth is of ob P vio . nicotianae us around the mycelia dosing hole (T . B ables ut other 2com and pounds A2). had As no shown observed in effeFigur ct. The e sealed A1-,pla the te mycelia of the experiment revealed that the volatile components of PSK exhibited inhibitory activity on the growth control were even and dense (Figure A1a), while the mycelia treated with PSK grew slowly and of P. nicotianae mycelia (Table A2 and Table 2). As shown in Figure A1, the mycelia of the control loosely (Figure A1b). The inhibitory e ect increased with the increase in the number of prickly ash were even and dense (Figure A1-a), while the mycelia treated with PSK grew slowly and loosely (Figure A1-b). The inhibitory effect increased with the increase in the number of prickly ash seeds. seeds. The inhibition rate of 6 g/plate PSK was 63.1% (Table A2). In corroboration with the in vitro The inhibition rate of 6 g/plate PSK was 63.1% (Table A2). In corroboration with the in vitro experiment, the pot experiment also proved that the PSK had an obvious fumigant e ect on Pn. experiment, the pot experiment also proved that the PSK had an obvious fumigant effect on Pn. Compared to the control, the addition of 2% and 6% PSK decreased the incidence of the disease by Compared to the control, the addition of 2% and 6% PSK decreased the incidence of the disease by th 76.47% and 85% after 10 days of inoculation, respectively (Figure 1). These results indicated that th 76.47% and 85% after 10 days of inoculation, respectively (Figure 1). These results indicated that PSK PSK could be a potential fumigant against tobacco black shank. could be a potential fumigant against tobacco black shank. Figure 1. Control e ect of prickly ash seed kernel on tobacco black shank disease. Values are the means of three replicates SD. Values within the same column, followed by di erent lowercase letters, are significantly di erent (P < 0.05). Agronomy 2020, 10, 770 7 of 14 Table 2. Toxicity measurement of major volatile components on P. nicotianae. Compound IC R Toxicity Regression Equations Sabinene 172.88 0.9916 y = 0.5611x + 3.7444 Piperitone 51.99 0.9982 y = 1.0613x + 3.1789 D-Limonene 448.15 0.9992 y = 0.8291x + 2.8017 Linalool 18.03 0.9935 y = 1.1721x + 3.5278 -Myrcene NA - - NA means that no significant inhibitory e ect was observed in the range of concentration tested; y, probability value of biostatistics; x, logarithm concentration. The in vitro fumigant activity of PSK can be attributed to its volatile components, especially the higher proportions of monoterpenes. As shown in Table 2, four of the six main constituents (peak area percentage over 6%) tested exhibited strong inhibitory activity against P. nicotianae. Among them, linalool was the most e ective one with IC of 18.03 L/L, followed by piperitone (51.99 L/L), and sabinene (172.88 L/L). Limonene was less e ective with an IC value of 448.15 L/L, while myrcene showed no obvious inhibition e ect. Previous studies have revealed that the major volatiles of PSK had inhibitory activity against di erent fungi. Limonene and -pinene were reported to inhibit the growth of Candida, Cryptococcus, Aspergillus, and dermatophyte species [29]. Espinosa-García and Langenheim (1991) [30] found that sabinene and -terpinene exhibited a growth inhibition ability against seven fungal endophytes on coastal redwood leaves. Glamoclija et al. (2009) [31] reported that -pinene and limonene showed a fumigant e ect against the mushroom pathogen Mycogone perniciosa with minimal inhibitory quantities of 5 and 1 L/disc, respectively. Tampieri et al. (2005) [32] proved that -phellandrene had a strong inhibitory activity (MIC = 50 ppm) against Candida albicans. Similarly, piperitone was observed to inhibit plant pathogens, including Rhizoctonia solani, Pythium debaryanum, Botrytis fabae, and Fusarium oxysporum. Other monoterpenes, such as linalool, -terpineol, and -terpinene, were also reported to have antifungal activities [22,33,34]. Overall, PSK contains several antifungal volatiles, and its fumigant e ect may be attributed to these constituents either acting independently or in combination. 3.3. E ects of PSK Fumigant on Plant Growth As shown in Figure 2, the addition of 2% PSK promoted the growth of tobacco, such as higher plant height, root length, and dry weight. This e ect may be attributed to soil nutrient improvement. Rahman et al. (2011) [35] reported that the application of two brassica green manure increased soil organic matter. Similarly, Marchetti et al. (2015) [10] found that biofumigant plant materials Brassica carinata and Brassica juncea (containing glucosinolate) improved the soil N availability. In line with the result in previous studies, PSK treatment increased the soil organic matter, hydrolyzable nitrogen, and available potassium (Table 3). The total phosphorus increased while available phosphorus decreased, suggesting that a large amount of phosphorus is immobilized in the soil. The soil pH was also altered, which decreased with increasing amounts of PSK. Our results suggested that PSK has the potential to be used as not only a fumigant but also as a green manure. However, excessive addition of PSK (6%) inhibited plant growth, indicating the existence of allelochemicals. Table 3. E ects of prickly ash seed kernel (PSK) on soil chemical properties. Hydrolyzable Available Available Total PSK Addition Organic Matter Nitrogen Phosphorus Potassium Phosphorus pH (%) (g/kg) (mg/kg) (mg/kg) (mg/kg) (mg/Kg) CK 1.53 0.16 c 121.47 3.26 a 52.50 0.49 a 139.47 2.20 c 484.53 9.20 b 6.93 0.03 a 2 2.01 0.22 b 132.57 1.97 b 50.83 1.25 a 184.17 6.40 b 507.70 9.80 ab 6.74 0.06 a 6 2.66 0.29 a 141.83 2.48 b 50.97 1.32 a 245.40 12.00 a 542.90 7.80 a 6.35 0.08 b Values are the means of three replicates  SD. Values within the same column, followed by di erent lowercase letters are significantly di erent (P < 0.05). Agronomy 2020, 10, 770 8 of 14 Agronomy 2020, 10, x FOR PEER REVIEW 8 of 15 Figure 2. Growth promoting e ect of prickly ash seed kernel on tobacco. Values are the means of three Figure 2. Growth promoting effect of prickly ash seed kernel on tobacco. Values are the means of replicates SD. Values within the same column, followed by di erent lowercase letters are significantly three replicates ± SD. Values within the same column, followed by different lowercase letters are di erent (P < 0.05). significantly different (P < 0.05). 3.4. E ects of PSK Fumigant on Soil Microbial Community Richness and Diversity Table 3. Effects of prickly ash seed kernel (PSK) on soil chemical properties. A total of 721,657 fungal sequences (T6, 240,640; T2, 240,320; CK, 240,697) and 721,975 bacterial Organic sequences (T6, 240,684; T2, 240,809; CK, 240,482) were queried after quality filtering, with an average PSK Hydrolyzable Available Available Total matter read length of 412–415 bp for bacteria and 230–252 bp for fungi. The rarefaction curves at 3% addition nitrogen phosphorus potassium phosphorus pH (g/kg) dissimilarity indicated that the operational taxonomic unit (OTU) number of both fungi and bacteria (%) (mg/kg) (mg/kg) (mg/kg) (mg/kg) (Figure 3) decreased with PSK fumigation. In accordance with this, the richness and diversity values 1.53 ± 0.16 c CK 121.47 ± 3.26 a 52.50 ± 0.49 a 139.47 ± 2.20 c 484.53 ± 9.20 b 6.93 ± 0.03 a were also reduced, and the reduction showed an obvious dose–e ect relationship with PSK. Treatment 2.01 ± 0.22 b 2 with 6% PSK resulted 132.5 in the 7 lowest ± 1.97 b -diversity 50.83 ± 1.2 of 5 a both bacteria 184.17 and ± 6.4fungi 0 b (T507.7 able 4 0). ± 9.80 ab 6.74 ± 0.06 a Agronomy 2020, 10, x FOR PEER REVIEW 9 of 15 6 2.66 ± 0.29 a 141.83 ± 2.48 b 50.97 ± 1.32 a 245.40 ± 12.00 a 542.90 ± 7.80 a 6.35 ± 0.08 b Values are the means of three replicates ± SD. Values within the same column, followed by different lowercase letters are significantly different (P < 0.05). 3.4. Effects of PSK Fumigant on Soil Microbial Community Richness and Diversity A total of 721,657 fungal sequences (T6, 240,640; T2, 240,320; CK, 240,697) and 721,975 bacterial sequences (T6, 240,684; T2, 240,809; CK, 240,482) were queried after quality filtering, with an average read length of 412–415 bp for bacteria and 230–252 bp for fungi. The rarefaction curves at 3% CK CK dissimilarity indicated that the operational taxonomic unit (OTU) number of both fungi and bacteria T2 1000 T2 T6 T6 (Figure 3) decreased with PSK fumigation. In accordance with this, the richness and diversity values were also reduced, and the reduction showed an obvious dose–effect relationship with PSK. Treatment with 6% PSK resulted in the lowest α-diversity of both bacteria and fungi (Table 4). 0 20000 40000 60000 0 20000 40000 60000 Sequence Number Sequence Number Figure 3. Rarefaction curves of bacterial 16S rRNA genes (A) and fungal ITS sequences (B) of 97% Figure 3. Rarefaction curves of bacterial 16S rRNA genes (A) and fungal ITS sequences (B) of 97% similarity from soils with prickly ash seed kernel (PSK) fumigant. T2, 2% of PSK amendment; T6, 6% similarity from soils with prickly ash seed kernel (PSK) fumigant. T2, 2% of PSK amendment; T6, 6% of of PSK amendment; CK, control with no PSK amendment. Bars above the scatter points represent the PSK amendment; CK, control with no PSK amendment. Bars above the scatter points represent the standard error of three replicates. standard error of three replicates. Table 4. Alpha diversity index of bacteria and fungi operational taxonomic unit (OTU) in soil samples treated with different amounts of prickly ash seed kernel. Bacterial community Fungal community Treatment OTUs Shannon Chao1 ACE OTUs Shannon Chao1 ACE CK 2920 ±234 a 9.6±0.4 a 3177±224 a 3139±204 a 489±32 a 5.7±0.2 a 517±21a 517±24 a T2 2902±309 a 9.6±0.2 a 3112±120 a 3123±127 a 440±15 ab 5.4±0.3 a 467±15 ab 470±15 ab T6 2058±309 b 8.5±0.3 b 2243±331 b 2248±333 b 384±8 b 5.3±0.2 a 420±14 b 418±13 b Values are the means of three replicates ± SD. Values within the same column, followed by different lowercase letters are significantly different (P < 0.05). Suppression of soil bacterial or fungal populations by bio-fumigation was reported in several previous studies [36–38]. Ma et al. (2018) [39] used Tagetes erecta powder for soil fumigation and found that the diversity and richness index of fungi decreased. Interestingly, our results also indicated that compared to bacteria, the fungi were more susceptible to PSK treatment. The Shannon, Chao1, and ACE indices of bacteria with the addition of 2% PSK were not significantly different from those of the control, while that of fungi were obviously lower compared to that of the control. 3.5. Effect of PSK Fumigant on Microbial Structure The relationship between all soil microbial community compositions was illustrated by NMDS analysis (Figure 4). The NMDS plot showed that three randomly collected replicates from each treatment were usually located closely. The bacterial (Stress = 0.045) and fungal (Stress = 0.001) community of the high PSK (6%), low PSK (2%), and no PSK (control) treatments were well separated from each other, indicating that the composition of the soil microbial community was altered in response to the bio-fumigation treatments. According to the result of the Mantel test, the soil parameters that were significantly correlated with the bacterial and fungal community structures were selected for the CCA analysis (Figure 5). The microbial communities shifted with PSK amendment along CCA1 and CCA2, respectively. Among all the tested environmental variables, organic matter (OC), hydrolyzable nitrogen (N), pH, and disease index (DI) were relatively near CCA1 which explains the 60.22% variation in fungal communities (r = 0.4946, P = 0.001) and 58.15% in the bacterial communities (r = 0.4919, P = 0.001). PSK (6% and 2%) fumigant treatment increased (P < 0.05) the relative abundance of bacterial species OTU Number OTU Number Agronomy 2020, 10, 770 9 of 14 Table 4. Alpha diversity index of bacteria and fungi operational taxonomic unit (OTU) in soil samples treated with di erent amounts of prickly ash seed kernel. Bacterial Community Fungal Community Treatment OTUs Shannon Chao1 ACE OTUs Shannon Chao1 ACE CK 2920234 a 9.60.4 a 3177224 a 3139204 a 48932 a 5.70.2 a 51721a 51724 a T2 2902309 a 9.60.2 a 3112120 a 3123127 a 44015 ab 5.40.3 a 46715 ab 47015 ab T6 2058309 b 8.50.3 b 2243331 b 2248333 b 3848 b 5.30.2 a 42014 b 41813 b Values are the means of three replicates  SD. Values within the same column, followed by di erent lowercase letters are significantly di erent (P < 0.05). Suppression of soil bacterial or fungal populations by bio-fumigation was reported in several previous studies [36–38]. Ma et al. (2018) [39] used Tagetes erecta powder for soil fumigation and found that the diversity and richness index of fungi decreased. Interestingly, our results also indicated that compared to bacteria, the fungi were more susceptible to PSK treatment. The Shannon, Chao1, and ACE indices of bacteria with the addition of 2% PSK were not significantly di erent from those of the control, while that of fungi were obviously lower compared to that of the control. 3.5. E ect of PSK Fumigant on Microbial Structure The relationship between all soil microbial community compositions was illustrated by NMDS analysis (Figure 4). The NMDS plot showed that three randomly collected replicates from each treatment were usually located closely. The bacterial (Stress = 0.045) and fungal (Stress = 0.001) Agronomy 2020, 10, x FOR PEER REVIEW 10 of 15 community of the high PSK (6%), low PSK (2%), and no PSK (control) treatments were well separated from each other, indicating that the composition of the soil microbial community was altered in Pseudomonas, Azospirillum, Thermomonas, Glutamicibacter (6% PSK), and Dyella (6% PSK) as well as the r fu esponse ngal spec to ie the s Tric bio-fumigation hoderma, Mor tr tierell eatments. a, and Aspergillus (6% PSK) (Figure A2). Figure 4. Nonmetric multidimensional scaling (NMDS) graphs of soil fungal (A) and bacterial (B) Figure 4. Nonmetric multidimensional scaling (NMDS) graphs of soil fungal (A) and bacterial (B) communities 30 d after the application of PSK fumigant. P-value was obtained by analysis of molecular communities 30 d after the application of PSK fumigant. P-value was obtained by analysis of variance (AMOVA) analysis (unweighted_unifrac). molecular variance (AMOVA) analysis (unweighted_unifrac). According to the result of the Mantel test, the soil parameters that were significantly correlated with the bacterial and fungal community structures were selected for the CCA analysis (Figure 5). The microbial communities shifted with PSK amendment along CCA1 and CCA2, respectively. Among all the tested environmental variables, organic matter (OC), hydrolyzable nitrogen (N), pH, and disease index (DI) were relatively near CCA1 which explains the 60.22% variation in fungal communities (r = 0.4946, P = 0.001) and 58.15% in the bacterial communities (r = 0.4919, P = 0.001). PSK (6% and 2%) fumigant treatment increased (P < 0.05) the relative abundance of bacterial species Pseudomonas, Azospirillum, Thermomonas, Glutamicibacter (6% PSK), and Dyella (6% PSK) as well as the fungal species Trichoderma, Mortierella, and Aspergillus (6% PSK) (Figure A2). Figure 5. Results from canonical correspondence analysis (CCA) to explore the relationship between microbial populations and selected environmental factors in the soil. (A) Bacterial; (B) Fungal. OC, organic matter; N, hydrolyzable nitrogen; DI, disease index. To the best of our knowledge, the present study is the first to detail the effects of PSK on soil microbial communities. Therefore, the corroboration of results is not possible. Nevertheless, our findings were partially supported by several related studies. Hu et al. (2015) [40] found that different types of isothiocyanates resulted in significant changes in fungal community composition. Similarly, Weerakoon et al. (2012) [37] reported that modification of the fungal community by the addition of Brassica juncea seed meal might contribute to the long-term suppression of Pythium adappressorium. In line with our results, the increase in Aspergillus [38], Mortierella [40], and Trichoderma [37] were also observed in previous studies, which were believed to be more tolerant to bio-fumigation [41,42]. In line with the results of previous studies, with the application of lower PSK amount, the soil bacterial community was not severely affected [38,40]. Hollister et al. (2012) [36] found that bacteria related to fungal disease control (such as Bacillus, Pseudomonas, and Streptomyces) increased with the application of a glucosinolate-containing brassicaceous oilseed meal (Brassica juncea). PSK fumigant also increased the relative abundance of bacterial genera, which were reported to be associated with plant growth promotion or disease control [39,43,44]. Based on these results, we hypothesized that the microbial community shift following PSK application could be one of the important mechanisms for disease suppression. Agronomy 2020, 10, x FOR PEER REVIEW 10 of 15 Pseudomonas, Azospirillum, Thermomonas, Glutamicibacter (6% PSK), and Dyella (6% PSK) as well as the fungal species Trichoderma, Mortierella, and Aspergillus (6% PSK) (Figure A2). Figure 4. Nonmetric multidimensional scaling (NMDS) graphs of soil fungal (A) and bacterial (B) communities 30 d after the application of PSK fumigant. P-value was obtained by analysis of Agronomy 2020, 10, 770 10 of 14 molecular variance (AMOVA) analysis (unweighted_unifrac). Figure 5. Results from canonical correspondence analysis (CCA) to explore the relationship between Figure 5. Results from canonical correspondence analysis (CCA) to explore the relationship between microbial populations and selected environmental factors in the soil. (A) Bacterial; (B) Fungal. OC, microbial populations and selected environmental factors in the soil. (A) Bacterial; (B) Fungal. OC, organic matter; N, hydrolyzable nitrogen; DI, disease index. organic matter; N, hydrolyzable nitrogen; DI, disease index. To the best of our knowledge, the present study is the first to detail the e ects of PSK on To the best of our knowledge, the present study is the first to detail the effects of PSK on soil soil microbial communities. Therefore, the corroboration of results is not possible. Nevertheless, microbial communities. Therefore, the corroboration of results is not possible. Nevertheless, our our findings were partially supported by several related studies. Hu et al. (2015) [40] found that di erent findings were partially supported by several related studies. Hu et al. (2015) [40] found that different types of isothiocyanates resulted in significant changes in fungal community composition. Similarly, types of isothiocyanates resulted in significant changes in fungal community composition. Similarly, Weerakoon et al. (2012) [37] reported that modification of the fungal community by the addition of Weerakoon et al. (2012) [37] reported that modification of the fungal community by the addition of Brassica juncea seed meal might contribute to the long-term suppression of Pythium adappressorium. Brassica juncea seed meal might contribute to the long-term suppression of Pythium adappressorium. In In line with our results, the increase in Aspergillus [38], Mortierella [40], and Trichoderma [37] were line with our results, the increase in Aspergillus [38], Mortierella [40], and Trichoderma [37] were also also observed in previous studies, which were believed to be more tolerant to bio-fumigation [41,42]. observed in previous studies, which were believed to be more tolerant to bio-fumigation [41,42]. In In line with the results of previous studies, with the application of lower PSK amount, the soil line with the results of previous studies, with the application of lower PSK amount, the soil bacterial bacterial community was not severely a ected [38,40]. Hollister et al. (2012) [36] found that bacteria community was not severely affected [38,40]. Hollister et al. (2012) [36] found that bacteria related to related to fungal disease control (such as Bacillus, Pseudomonas, and Streptomyces) increased with the fungal disease control (such as Bacillus, Pseudomonas, and Streptomyces) increased with the application application of a glucosinolate-containing brassicaceous oilseed meal (Brassica juncea). PSK fumigant of a glucosinolate-containing brassicaceous oilseed meal (Brassica juncea). PSK fumigant also increased also increased the relative abundance of bacterial genera, which were reported to be associated with the relative abundance of bacterial genera, which were reported to be associated with plant growth plant growth promotion or disease control [39,43,44]. Based on these results, we hypothesized that the promotion or disease control [39,43,44]. Based on these results, we hypothesized that the microbial microbial community shift following PSK application could be one of the important mechanisms for community shift following PSK application could be one of the important mechanisms for disease disease suppression. suppression. 4. Conclusions Findings in the current study clearly demonstrated that the application of appropriate PSK (2%) is capable of e ectively controlling tobacco black shank. The fumigant e ect can be attributed to the volatiles released by PSK, such as linalool, piperitone, sabinene, and limonene. Moreover, PSK fumigation also significantly promoted tobacco growth and improved soil fertility (total P, hydrolysable N, and available K), exhibiting the e ect of a fungicide and fertilizer. Interestingly, the shifts in microbial community structure showed increased proportions of bacterial taxa associated with pathogen suppression and plant growth promotion, suggesting that PSK can be applied in combination with certain biocontrol microbes. From this study, we concluded that PSK could be a new bio-fumigation material against plant soilborne pathogens. However, long-term, field-scale studies are needed to evaluate the fumigation e ect of PSK. Author Contributions: Conceptualization, C.-S.Z. and M.L.; methodology, J.C.; software, Y.Z.; resources, X.H.; data curation and writing—original draft preparation, Y.W. All authors have read and agreed to the published version of the manuscript. Funding: This research was funded by China National Tobacco Corporation, grant number 110201902003. Agronomy 2020, 10, x FOR PEER REVIEW 11 of 15 4. Conclusions Findings in the current study clearly demonstrated that the application of appropriate PSK (2%) is capable of effectively controlling tobacco black shank. The fumigant effect can be attributed to the volatiles released by PSK, such as linalool, piperitone, sabinene, and limonene. Moreover, PSK fumigation also significantly promoted tobacco growth and improved soil fertility (total P, hydrolysable N, and available K), exhibiting the effect of a fungicide and fertilizer. Interestingly, the shifts in microbial community structure showed increased proportions of bacterial taxa associated with pathogen suppression and plant growth promotion, suggesting that PSK can be applied in combination with certain biocontrol microbes. From this study, we concluded that PSK could be a new bio-fumigation material against plant soilborne pathogens. However, long-term, field-scale studies are needed to evaluate the fumigation effect of PSK. Author Contributions: Conceptualization, C.S.Z. and M.L.; methodology, J.C.; software, Y.Z.; resources, X.H.; Agronomy 2020, 10, 770 11 of 14 data curation and writing—original draft preparation, Y.W. All authors have read and agreed to the published version of the manuscript. Conflicts of Interest: The authors declare no conflict of interest. Funding: This research was funded by China National Tobacco Corporation, grant number 110201902003. Co Appendix nflicts of A Interest: The authors declare no conflict of interest. Appendix A Figure A1. Fumigant e ect of prickly ash seed kernel on P. nicotianae mycelia growth. (a) Control; Agronomy 2020, 10, x FOR PEER REVIEW 12 of 15 Figure A1. Fumigant effect of prickly ash seed kernel on P. nicotianae mycelia growth. (A) Control; (B) (b) 6 g/plate of PSK powders. 6 g/plate of PSK powders. Figure A2. Heatmap at genus level of soil bacterial (a) and fungal (b). T2, 2% of PSK amendment; T6, Figure A2. Heatmap at genus level of soil bacterial (A) and fungal (B). T2, 2% of PSK amendment; T6, 6% of PSK amendment; CK, control with no PSK amendment. 6% of PSK amendment; CK, control with no PSK amendment. Table A1. Composition of the extract of prickly ash seed kernel by gas chromatography coupled with flame ionization detection. Peak area percentage Identity Compounds (%) (%) Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- 10.316749 94 cis-9-Hexadecenoic acid 6.208132 99 n-Hexadecanoic acid 15.668002 99 Psilocin 11.752521 90 9,12-Octadecadienoic acid (Z,Z)- 15.248901 99 cis-Vaccenic acid 40.805695 99 Table A2. Fumigant effect of prickly ash seed kernel on P. nicotianae mycelial growth. Addition of prickly ash seed kernel (g) Inhibition rate (%) 1 35.19±0.99 d 2 45.91±1.02 c 4 52.05±0.87 b 6 61.60±0.85 a Values are the means of three replicates ± SD. Values within the same column, followed by different lowercase letters are significantly different (P < 0.05). References 1. Panabières, F.; Ali, G.S.; Allagui, M.B.; Dalio, R.J.D.; Gudmestad, N.C.; Kuhn, M.; Roy, S.G.; Schena, L.; Zampounis, A. Phytophthora nicotianae diseases worldwide: New knowledge of a long-recognised pathogen. Phytopatho. Mediterr. 2016, 55, 20−40. Agronomy 2020, 10, 770 12 of 14 Table A1. Composition of the extract of prickly ash seed kernel by gas chromatography coupled with flame ionization detection. Compounds Peak Area Percentage (%) Identity (%) Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- 10.316749 94 cis-9-Hexadecenoic acid 6.208132 99 n-Hexadecanoic acid 15.668002 99 Psilocin 11.752521 90 9,12-Octadecadienoic acid (Z,Z)- 15.248901 99 cis-Vaccenic acid 40.805695 99 Table A2. Fumigant e ect of prickly ash seed kernel on P. nicotianae mycelial growth. Addition of Prickly Ash Seed Kernel (g) Inhibition Rate (%) 1 35.190.99 d 2 45.911.02 c 4 52.050.87 b 6 61.600.85 a Values are the means of three replicates  SD. 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This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agronomy Multidisciplinary Digital Publishing Institute

Prickly Ash Seed Kernel: A New Bio-Fumigation Material Against Tobacco Black Shank

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agronomy Article Prickly Ash Seed Kernel: A New Bio-Fumigation Material Against Tobacco Black Shank 1 ,y 2 ,y 2 1 , 3 1 Yaochen Wang , Minghong Liu , Xiaobin Han , Yanfen Zheng , Jianmin Chao 1 , 3 , and Cheng-Sheng Zhang * Marine Agriculture Research Center, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao 266101, China; wangyaochen2020@163.com (Y.W.); zhengyanfen@caas.cn (Y.Z.); caojianmin@caas.cn (J.C.) Biological Organic Fertilizer Engineering Technology Center of China Tobacco, Zunyi 563100, China; lmh859@163.com (M.L.); hanxiaobin2011@163.com (X.H.) Special Crops Research Center of Chinese Academy of Agricultural Sciences, Qingdao 266101, China * Correspondence: zhangchengsheng@caas.cn y These authors contributed equally to this work. Received: 21 April 2020; Accepted: 27 May 2020; Published: 28 May 2020 Abstract: The present study evaluated the fumigant e ect and potential mechanisms of Chinese prickly ash seed kernel (PSK) against tobacco black shank caused by Phytophthora nicotianae Breda de Haan. The results showed that PSK fumigant increased the soil organic matter, hydrolysable nitrogen, available potassium, and total phosphorus significantly, while the pH was decreased. Application of 2% PSK promoted plant growth, with higher plant height, root length, and dry weight compared to those in the treatment with no PSK. Both in vitro and in vivo tests indicated that PSK fumigant e ectively inhibited mycelial growth of P. nicotianae, and significantly reduced the severity of tobacco black shank. Based on the analysis of volatiles in PSK by headspace solid-phase microextraction (HS-SPME) gas chromatography-mass spectrometry (GC-MS), 28 components were identified, among which monoterpenes were the major components (accounting for 79.46% of peak area). Among the six top components, linalool, piperitone, sabinene, and limonene exhibited strong mycelial inhibition of P. nicotianae. Linalool was the most e ective with an IC value of 18.03 L/L. Results of GC-MS revealed that the main components of PSK extract were cis-Vaccenic acid (40.81%), n-Hexadecanoic acid (15.67%), 9,12-Octadecadienoic acid (Z,Z)- (15.25%), Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- (10.32%), cis-9-Hexadecenoic acid (6.21%), and Psilocin (11.75%). Among them, Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- and 9,12-Octadecadienoic acid (Z,Z)- have an obvious inhibitory e ect on P. nicotianae. Additionally, changes in soil bacterial and fungal communities were observed. The relative abundance of some microbes, such as Pseudomonas, Azospirillum, Thermomonas, Glutamicibacter, Dyella, and Trichoderma, increased, which have many beneficial microbes in these genera, indicating that microbial community shift could be one of the important outcomes of the PSK fumigant e ect. In conclusion, PSK could be a new bio-fumigation material against plant soilborne pathogens, which can function as both a fungicide and fertilizer. Keywords: volatiles; fumigant e ect; Phytophthora nicotianae; disease suppression; antifungal activity; soil microbial community 1. Introduction Tobacco black shank is a critical soilborne oomycete disease caused by Phytophthora nicotianae Breda de Haan [1]. In China, the epidemic area of the disease is more than 76,372 ha, and the direct economic loss is above a billion dollars. Currently, the application of chemical fungicides, such as Agronomy 2020, 10, 770; doi:10.3390/agronomy10060770 www.mdpi.com/journal/agronomy Agronomy 2020, 10, 770 2 of 14 Metalaxyl Mancozeb, is the main control method, which has caused a series of problems, including high pesticide residues in tobacco leaves, environmental pollution, and pathogenic resistance to fungicides [2]. The increasing concern about the environment and human health prompted a general desire to reduce such fungicide inputs, and hence, the development of other e ective, eco-friendly control methods has been a very urgent issue. Recently, there is a growing interest in bio-fumigation, which is recognized as a new agro-ecological approach for soilborne disease management [3]. Bio-fumigation is defined as a method to suppress soilborne pests and diseases using volatiles produced by organic substances (such as plant residues) [4] as well as some microbes [5]. Crops from Brassicaceae and Asteraceae are the main plants used as biofumigants. These plants contain secondary plant metabolites called glucosinolates (GSLs), which are believed to be involved in plant defense. As Brassica crops produce nitriles, thiocyanates, and isothiocyanates (ITCs), they have been used to control a range of soilborne pests and pathogens [6,7]. However, studies on other plants with bio-fumigation potential are limited [8,9]. In addition, previous studies mainly focused on the selection and disease suppression e ects of fumigation materials, but reports of their e ects on soil nutrients and microbial community were fewer [10]. Chinese prickly ash (Zanthoxylum bungeanum) is an important economic crop in China, with an annual planting area of about 1,000,000 hectares. Recently, there is an increasing interest in the cultivation of Chinese prickly ash owing to its great economic significance (important condiment and traditional Chinese medicine) as well as ecological value (such as the greening of barren hills and rocky desertification control). The prickly ash seed kernel (PSK), known as Jiaomu in Chinese traditional medicine, is the seed of Chinese prickly ash after drying and peeling. As the main by-product of the prickly ash industry, more than 1.5 billion kilograms are discarded as agricultural waste annually, which results in the wastage of the natural resource. In fact, PSK is rich in nutrients and bioactive components, and its anthelmintic function has been recognized by the Chinese since ancient times. Recent studies revealed that proper application of PSK can not only improve the physical and chemical properties of soil, promote the growth of tomato plants but also e ectively inhibit the occurrence of root-knot nematodes. The killing mechanism is mainly attributed to the rich D-limonene and linalool in PSK [11]. Therefore, the study of PSK as soil fumigant is of great significance. However, few reports have described the fumigation e ect of PSK on soilborne pathogens. We evaluated the fumigation ecacy of PSK, identified potential antimicrobial components, discussed the possible fumigation mechanism, and analyzed the e ect of PSK on soil microbial ecology. 2. Materials and Methods 2.1. Biological Materials PSK of Zanthoxylum bungeanum, commonly called Dahongpao, the main local cultivar, were collected from the Shanting District, Shandong province of China. Phytophthora nicotianae (Pn) strain JM01, the pathogen, was maintained in our laboratory [12]. The tested tobacco variety was “Xiaohuangjin 1025”, which is susceptible to tobacco black shank disease. 2.2. HS-SPME GC-MS Method The extract of PSK was prepared by ethanol–petroleum ether method, according to Dong et al. (2016) [13]. Headspace solid-phase microextraction (HS-SPME) was chosen as the method for volatile compound sampling. The so-called sandwich-type (Divinylbenzene/Carboxen/Polydimethylsiloxane, Supelco, Bellefonte, PA, USA) fiber was used for the absorption of PSK volatile compounds. For sampling volatile compounds, the SPME fiber was inserted into the headspace of sample vial containing 10 g PSK at 25 C for 20 min. When the sampling was completed, the SPME fiber was then removed from the sample vial and immediately inserted into the gas chromatography (GC) injector at 250 C for 5 min with a split ratio of 10:1. The used SPME fiber was conditioned at 250 C for 5 min prior to the next sampling. Agronomy 2020, 10, 770 3 of 14 The gas chromatography-mass spectrometry (GC-MS) analyses were done with an Agilent 7890–5975C GC-MSD system (Santa Clara, CA, USA) with a DB-5 MS fused-silica capillary column (30 m 0.25 mm i. d, 0.25 m film thickness). The injection volume was 1.0 L in split less mode with an inlet temperature of 250 C, and helium was used as the carrier gas at a flow rate of 1.0 mL min . The analyses were carried out in programmed mode, the initial oven temperature was held at 45 C for 2 min, ramped to 200 C at 5 C/min, held for 2 min, ramped to 320 C at 15 C/min, then held for 3 min. The transfer line, the ion source, and quadrupole analyzer temperatures were 280, 230, and 150 C, respectively. The ionization mode was the electron impact at 70 eV. The mass spectra plot was acquired using full scan monitoring mode with a mass scan range of m/z 35-450. The acceleration voltage was turned on after a solvent delay of 3 min. The GC analyses were done with an Agilent 7890 GC system. The flame ionization detector (FID) detector temperature was set to 300 C and the same operational conditions applied to a duplicate of the same column used in GC/MS analyses. The flow rate of carrier gas was adjusted to obtain the same retention times with GC/MS analyses. 2.3. Chemical Composition of PSK Volatiles and Extracts The identification of volatile components was based on the calculated retention indices (RI) and on the comparisons of obtained mass spectra with those of reference compounds, available in the NIST (National Institute of Standards and Technology, Gaithersburg, MD, USA) library. The retention indices were determined in relation to a homologous series of n-alkanes (C7–C30) under the same operating conditions. The relative percentage amounts of the separated compounds were calculated from the integration of the peaks in flame ionization detector (FID) chromatograms. 2.4. Mycelia Inhibition E ect of PSK Volatiles and Extracts Extracts of PSK and its five main constituents(cis-Vaccenic acid, n-Hexadecanoic acid, 9,12-Octadecadienoic acid (Z,Z)-, Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)-, and cis-9-Hexadecenoic acid) were evaluated for fumigation effect on Pn with flat plate confrontation method [14]. PSK and its five main constituents (sabinene, piperitone, limonene, linalool, and myrcene) were evaluated for fumigation effect on Pn mycelial growth with a modified sealed-plate method. A mycelial disc (5 mm) was inoculated to the center of an OA (oatmeal agar) plate, and PSK powders (1, 2, 4, 6 g, respectively) and the diluted constituents (4.92, 9.84, 19.69, 39.37, 78.74, 157.48, and 314.96 L/L) were added to the Petri dish cover, sealed with parafilm, incubated at 28 C for 4 days, and the colony diameter was determined using the cross–cross method [14]. Each treatment was repeated three times, and the plate with no PSK or constituent addition served as a control. Mycelial growth inhibition rate was calculated according to Han et al. (2019) [15]. 2.5. Pot Experiment The method of Pn inoculum preparation was as follows. The millets were boiled with water until two-thirds of the seed hulls were ruptured. Filtrated with gauze, aired (with 15% of water content), and placed in flasks for sterilization (121 C, 20 min). Pn was reactivated on oatmeal agar (OA) medium for seven days. Then, mycelial discs (diameter 5 mm, 3 discs per flask) were inoculated on millet medium and incubated for 14 days at 26 C. Soil for the experiment was from the field of Jimo base, Tobacco Institute, Chinese Academy of Agricultural Sciences, type loam, which was sterilized by dry-heat method (160 C for 5 h). After cooling, the pathogenic soils (PS) were prepared by blending the millet with Pn infection (5 g per kg). PSK were powdered, sieved, and added to the pathogenic soils (2% and 6% PSK content). Soils with no PSK addition served as control. The soils were covered with plastic film for 30 d, each treatment with 15 tobacco seedlings (1 plant and 20 kg of soil per pot)—all with three replicates. The disease index was calculated at 10 d and 20 d, according to Han et al. (2016) [16], with the agronomic characters measured at 30 d. Three plants were randomly selected from each treatment for measurement. Then soils were sampled to analyze chemical indices. The pH value of soil water extract (soil:water, 2.5:1) was measured Agronomy 2020, 10, 770 4 of 14 using the potentiometric method. The electrical conductivity (EC) was measured by the Shanghai Thunder Magnetism DDS-11A Conductivity Meter (Shanghai, China). Soil chemical properties were determined according to the method described by Bao (2005) [17]. The soil organic matter content was determined by oxidation–reduction–titration using furnace digestion. Soil alkali-hydrolyzed nitrogen (AN) content was determined by the alkali-hydrolyzed di usion method. The NaHCO extraction Mo-Sb anti-spectrophotometry method was used to determine the available phosphorus (AP) in soil, and the total phosphorus (TP) was assayed with the alkali fusion-MO-Sb anti-spectrophotometric method. The available potassium (AK) was measured by the NH OAc (1 M) extraction–flare photometer method. All with three replicates. 2.6. E ect of PSK on Soil Microbial Community DNA of rhizosphere soil [18] was extracted and purified by a DNeasy®PowerSoil®Kit (Qiagen, Hilden, Germany). The total soil DNA was amplified using the bacterial V4 region of 16S rRNA genes (515F and 806R) primer) and fungal ITS1 (internal transcribed spacer) region of 18S rRNA genes (ITS5-1737F, ITS2-2043R). All PCRs were carried out with a Phusion®High-Fidelity PCR Master TM Mix (New England Biolabs, Ipswich, MA, USA). PCR products were purified with a Gene JET Gel Extraction Kit (Thermo Scientific, Waltham, MA, USA). Finally, 250 bp paired-end sequencing and construction of the gene clone libraries were performed at Novogene (Beijing, China) using the Illumina HiSeq 2500 platform. Three plants were randomly selected for sampling in each treatment. Quality filtering of the raw tags was performed under specific filtering conditions to obtain high-quality clean tags [19], according to the Quantitative Insights Into Microbial Ecology (QIIME) (http://qiime.org/index.html) [20] quality-controlled process. The chimera sequences were removed using the Ultra-fast sequence analysis (UCHIME) (http://www.drive5.com/usearch/manual/uchi-me_ algo.html) [21]. The obtained e ective tags were clustered and annotated with Uparse (http://drive5com/ uparse/). Each operational taxonomic unit (OTU) was defined as a cluster of reads with a 97% sequence identity. For each representative bacterial sequence, the Silva Database (http://www.arb-silva.de/) was used based on the Mothur algorithm to annotate taxonomic information, with the fungal sequence annotated by UNITE (v 7.2) Database (https://unite.ut.ee/). Alpha diversity is used to analyze the complexity of species diversity for a sample through observed species, Chao1, Shannon, and ACE. For our samples, all of these indices were calculated with QIIME (Version 1.7.0), and were displayed using R software (Version 2.15.3). Nonmetric multidimensional scaling (NMDS) of the microbial communities based on OTU composition was carried out using the Bray–Curtis similarity metric in the Past software package, version 2.03 [22]. Analysis of molecular variance (AMOVA) is a nonparametric analysis method, which can test the significance of di erences between groups based on the distance between samples. AMOVA analysis used the AMOVA function of Mothur software. Canonical correspondence analysis (CCA, used CCA function in the vegan package) was used to display the relationship between microbial group (at genus level), soil chemical properties (soil pH, organic matter, hydrolyzable nitrogen), and disease index. CCA was performed using R-2.15.3 for Windows. The Mantel test used the vegan package in R, according to the species matrix and the data matrix of environmental factors provided. The vegdist function was used to transform the distance matrix of the two kinds of data, and then the mantel function was used to analyze the Spearman correlation of the two kinds of matrices to get the r and P values. 2.7. Data Analysis Microsoft Oce Excel 2016 was used for data processing; IBM SPSS Statistics version 24.0 was used for variance analysis and correlation analysis. Significance was evaluated at P < 0.05 for all tests. The results of the assays of inhibitory activity, soil properties, and disease index are presented as the means  standard error of triplicate experiments. The half-maximal inhibitory concentration (IC ) values were calculated using regression analysis of the logarithmic values of component concentrations Agronomy 2020, 10, 770 5 of 14 and probability values of the corresponding inhibition rate. Analysis of variance (ANOVA) and multiple comparisons were performed using Duncan’s method. Evaluations with P < 0.05 were considered significant. 3. Results and Discussion 3.1. Components of PSK Volatiles and Extracts GC-MS revealed that the main components of PSK extract were cis-Vaccenic acid (40.81%), n-Hexadecanoic acid (15.67%), 9,12-Octadecadienoic acid (Z,Z)- (15.25%), Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- (10.32%), cis-9-Hexadecenoic acid (6.21%), and Psilocin (11.75%) (Table A1). Based on HS-SPME GC-MS analysis, 28 components were identified, representing 89.85% of PSK volatiles (Table 1). These volatiles belonged to alcohols (2), aldehydes (5), ketones (2), monoterpenes (18), and sesquiterpenes (1). Monoterpenes were the major components, accounting for 79.46% of the peak area. The compounds observed in higher percentages (> 5%) were sabinene, D-limonene, -Myrcene, -phellandrene, piperitone, and linalool. There were another 10 constituents with a proportion of more than 2%, -pinene, -terpinene, -cis-ocimene, -terpinene, trans-sabinene hydrate, terpinolene, nonanal, L-4-terpineol, -terpineol, and xanthoxylin. Additionally, two unknown components accounted for 10.15%. Previous studies have investigated the volatile compositions of the pericarp and essential oil from dried Z. bungeanum [23,24]. To our knowledge, this is the first report to identify the volatile components of PSK. However, most of the volatiles reported were associated with Zanthoxylum in previous studies [23,25]. In line with our results, Sriwichai et al. (2019) [26] found that sabinene, terpinene-4-ol, L-limonene, -phellandrene are dominant constituents of essential oils extracted from Z. myriacanthum dried fruit. Similarly, Fu et al. (2018) [27] observed that linalool and D-limonene were major volatiles obtained from dried Z. bungeanum fruit. It is worth pointing out that fewer components were detected in PSK volatiles than in the pericarp volatiles and essential oils from Z. bungeanum [23]. The above results indicated that the PAS contained similar major volatiles, but di erent contents compared to that in the pericarp. Interestingly, xanthoxylin, a valuable component found in the pericarp, was also detected in PSK volatiles, further proving the beneficial e ects of using PSK. Xanthoxylin has been reported to have antibacterial and insecticidal activities [27,28]. Table 1. Volatile composition of prickly ash seed kernel by headspace solid-phase microextraction fiber combined with gas chromatography coupled with flame ionization detection. Retention Index Peak Area Compounds Identity (%) Class Percentage (%) Literature Experiment Hexanal 800 799 98 I 1.16 1-Hexanol 868 864 96 II 0.20 Heptanal 901 898 97 I 0.62 1 6 Un 922 NA 4.39 (R)- -Pinene 929 928 96 III 2.36 Sabinene 974 972 97 III 13.45 -Pinene 975 974 95 III 1.15 -Myrcene 991 989 98 III 7.72 Octanal 1003 1003 98 I 2.00 -Phellandrene 1005 1003 95 III 1.01 -Terpinene 1017 1013 95 III 2.19 o-Cymene 1022 1020 94 III 1.90 D-Limonene; -Phellandrene 1031 1026 95 III 16.93 Un 1032 NA 5.76 -cis-Ocimene 1038 1041 94 III 3.01 -Terpinene 1054 1051 95 III 3.58 Agronomy 2020, 10, 770 6 of 14 Table 1. Cont. Retention Index Peak Area Compounds Identity (%) Class Percentage (%) Literature Experiment trans-Sabinene hydrate 1061 1064 95 III 2.27 1-Octanol 1071 1067 97 III 0.52 Terpinolene 1083 1080 97 III 2.27 Linalool 1099 1101 93 III 6.22 Nonanal 1104 1106 98 I 2.18 L-4-terpineneol 1182 1181 95 III 2.30 Crypton 1184 1185 96 IV 1.19 Agronomy 2020, 10, x FOR PEER REVIEW 6 of 15 -Terpineol 1198 1195 97 III 2.06 Decanal 1206 1206 99 I 0.53 Terpinolene 1083 1080 97 Ⅲ 2.27 Piperitone 1260 1261 94 III 8.36 Linalool 1099 1101 93 Ⅲ 6.22 -Terpinyl acetate 1350 1351 95 III 1.49 Nonanal 1104 1106 98 Ⅰ 2.18 Caryophyllene L-4-terpineneol 1419 1182 1422 1181 95 97 Ⅲ III 2.30 0.68 Crypton 1184 1185 96 Ⅳ 1.19 Xanthoxylin 1675 1678 92 IV 2.49 α-Terpineol 1198 1195 97 Ⅲ 2.06 1 2 3 4 5 Un means unidentified component; I, II, III, and IV mean aldehyde, alcohol, monoterpene, and ketone, Decanal 1206 1206 99 Ⅰ 0.53 respectively; NA means not available. Piperitone 1260 1261 94 8.36 α-Terpinyl acetate 1350 1351 95 Ⅲ 1.49 Caryophyllene 1419 1422 97 Ⅲ 0.68 3.2. Antifungal E ects of PSK Against Phytophthora Nicotianae Xanthoxylin 1675 1678 92 Ⅳ 2.49 1 2 3 4 5 Un means unidentified component; I, II, III, and IV mean aldehyde, alcohol, monoterpene, and Among components of extract, Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- and ketone, respectively; NA means not available. 9,12-Octadecadienoic acid (Z,Z)- have an obvious inhibitory e ect on P. nicotianae, and an 3.2. Antifungal Effects of PSK Against Phytophthora Nicotianae antifungal belt is obvious around the dosing hole. But other compounds had no observed e ect. Among components of extract, Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- and 9,12- The sealed-plate experiment revealed that the volatile components of PSK exhibited inhibitory activity Octadecadienoic acid (Z,Z)- have an obvious inhibitory effect on P. nicotianae, and an antifungal belt on the growth is of ob P vio . nicotianae us around the mycelia dosing hole (T . B ables ut other 2com and pounds A2). had As no shown observed in effeFigur ct. The e sealed A1-,pla the te mycelia of the experiment revealed that the volatile components of PSK exhibited inhibitory activity on the growth control were even and dense (Figure A1a), while the mycelia treated with PSK grew slowly and of P. nicotianae mycelia (Table A2 and Table 2). As shown in Figure A1, the mycelia of the control loosely (Figure A1b). The inhibitory e ect increased with the increase in the number of prickly ash were even and dense (Figure A1-a), while the mycelia treated with PSK grew slowly and loosely (Figure A1-b). The inhibitory effect increased with the increase in the number of prickly ash seeds. seeds. The inhibition rate of 6 g/plate PSK was 63.1% (Table A2). In corroboration with the in vitro The inhibition rate of 6 g/plate PSK was 63.1% (Table A2). In corroboration with the in vitro experiment, the pot experiment also proved that the PSK had an obvious fumigant e ect on Pn. experiment, the pot experiment also proved that the PSK had an obvious fumigant effect on Pn. Compared to the control, the addition of 2% and 6% PSK decreased the incidence of the disease by Compared to the control, the addition of 2% and 6% PSK decreased the incidence of the disease by th 76.47% and 85% after 10 days of inoculation, respectively (Figure 1). These results indicated that th 76.47% and 85% after 10 days of inoculation, respectively (Figure 1). These results indicated that PSK PSK could be a potential fumigant against tobacco black shank. could be a potential fumigant against tobacco black shank. Figure 1. Control e ect of prickly ash seed kernel on tobacco black shank disease. Values are the means of three replicates SD. Values within the same column, followed by di erent lowercase letters, are significantly di erent (P < 0.05). Agronomy 2020, 10, 770 7 of 14 Table 2. Toxicity measurement of major volatile components on P. nicotianae. Compound IC R Toxicity Regression Equations Sabinene 172.88 0.9916 y = 0.5611x + 3.7444 Piperitone 51.99 0.9982 y = 1.0613x + 3.1789 D-Limonene 448.15 0.9992 y = 0.8291x + 2.8017 Linalool 18.03 0.9935 y = 1.1721x + 3.5278 -Myrcene NA - - NA means that no significant inhibitory e ect was observed in the range of concentration tested; y, probability value of biostatistics; x, logarithm concentration. The in vitro fumigant activity of PSK can be attributed to its volatile components, especially the higher proportions of monoterpenes. As shown in Table 2, four of the six main constituents (peak area percentage over 6%) tested exhibited strong inhibitory activity against P. nicotianae. Among them, linalool was the most e ective one with IC of 18.03 L/L, followed by piperitone (51.99 L/L), and sabinene (172.88 L/L). Limonene was less e ective with an IC value of 448.15 L/L, while myrcene showed no obvious inhibition e ect. Previous studies have revealed that the major volatiles of PSK had inhibitory activity against di erent fungi. Limonene and -pinene were reported to inhibit the growth of Candida, Cryptococcus, Aspergillus, and dermatophyte species [29]. Espinosa-García and Langenheim (1991) [30] found that sabinene and -terpinene exhibited a growth inhibition ability against seven fungal endophytes on coastal redwood leaves. Glamoclija et al. (2009) [31] reported that -pinene and limonene showed a fumigant e ect against the mushroom pathogen Mycogone perniciosa with minimal inhibitory quantities of 5 and 1 L/disc, respectively. Tampieri et al. (2005) [32] proved that -phellandrene had a strong inhibitory activity (MIC = 50 ppm) against Candida albicans. Similarly, piperitone was observed to inhibit plant pathogens, including Rhizoctonia solani, Pythium debaryanum, Botrytis fabae, and Fusarium oxysporum. Other monoterpenes, such as linalool, -terpineol, and -terpinene, were also reported to have antifungal activities [22,33,34]. Overall, PSK contains several antifungal volatiles, and its fumigant e ect may be attributed to these constituents either acting independently or in combination. 3.3. E ects of PSK Fumigant on Plant Growth As shown in Figure 2, the addition of 2% PSK promoted the growth of tobacco, such as higher plant height, root length, and dry weight. This e ect may be attributed to soil nutrient improvement. Rahman et al. (2011) [35] reported that the application of two brassica green manure increased soil organic matter. Similarly, Marchetti et al. (2015) [10] found that biofumigant plant materials Brassica carinata and Brassica juncea (containing glucosinolate) improved the soil N availability. In line with the result in previous studies, PSK treatment increased the soil organic matter, hydrolyzable nitrogen, and available potassium (Table 3). The total phosphorus increased while available phosphorus decreased, suggesting that a large amount of phosphorus is immobilized in the soil. The soil pH was also altered, which decreased with increasing amounts of PSK. Our results suggested that PSK has the potential to be used as not only a fumigant but also as a green manure. However, excessive addition of PSK (6%) inhibited plant growth, indicating the existence of allelochemicals. Table 3. E ects of prickly ash seed kernel (PSK) on soil chemical properties. Hydrolyzable Available Available Total PSK Addition Organic Matter Nitrogen Phosphorus Potassium Phosphorus pH (%) (g/kg) (mg/kg) (mg/kg) (mg/kg) (mg/Kg) CK 1.53 0.16 c 121.47 3.26 a 52.50 0.49 a 139.47 2.20 c 484.53 9.20 b 6.93 0.03 a 2 2.01 0.22 b 132.57 1.97 b 50.83 1.25 a 184.17 6.40 b 507.70 9.80 ab 6.74 0.06 a 6 2.66 0.29 a 141.83 2.48 b 50.97 1.32 a 245.40 12.00 a 542.90 7.80 a 6.35 0.08 b Values are the means of three replicates  SD. Values within the same column, followed by di erent lowercase letters are significantly di erent (P < 0.05). Agronomy 2020, 10, 770 8 of 14 Agronomy 2020, 10, x FOR PEER REVIEW 8 of 15 Figure 2. Growth promoting e ect of prickly ash seed kernel on tobacco. Values are the means of three Figure 2. Growth promoting effect of prickly ash seed kernel on tobacco. Values are the means of replicates SD. Values within the same column, followed by di erent lowercase letters are significantly three replicates ± SD. Values within the same column, followed by different lowercase letters are di erent (P < 0.05). significantly different (P < 0.05). 3.4. E ects of PSK Fumigant on Soil Microbial Community Richness and Diversity Table 3. Effects of prickly ash seed kernel (PSK) on soil chemical properties. A total of 721,657 fungal sequences (T6, 240,640; T2, 240,320; CK, 240,697) and 721,975 bacterial Organic sequences (T6, 240,684; T2, 240,809; CK, 240,482) were queried after quality filtering, with an average PSK Hydrolyzable Available Available Total matter read length of 412–415 bp for bacteria and 230–252 bp for fungi. The rarefaction curves at 3% addition nitrogen phosphorus potassium phosphorus pH (g/kg) dissimilarity indicated that the operational taxonomic unit (OTU) number of both fungi and bacteria (%) (mg/kg) (mg/kg) (mg/kg) (mg/kg) (Figure 3) decreased with PSK fumigation. In accordance with this, the richness and diversity values 1.53 ± 0.16 c CK 121.47 ± 3.26 a 52.50 ± 0.49 a 139.47 ± 2.20 c 484.53 ± 9.20 b 6.93 ± 0.03 a were also reduced, and the reduction showed an obvious dose–e ect relationship with PSK. Treatment 2.01 ± 0.22 b 2 with 6% PSK resulted 132.5 in the 7 lowest ± 1.97 b -diversity 50.83 ± 1.2 of 5 a both bacteria 184.17 and ± 6.4fungi 0 b (T507.7 able 4 0). ± 9.80 ab 6.74 ± 0.06 a Agronomy 2020, 10, x FOR PEER REVIEW 9 of 15 6 2.66 ± 0.29 a 141.83 ± 2.48 b 50.97 ± 1.32 a 245.40 ± 12.00 a 542.90 ± 7.80 a 6.35 ± 0.08 b Values are the means of three replicates ± SD. Values within the same column, followed by different lowercase letters are significantly different (P < 0.05). 3.4. Effects of PSK Fumigant on Soil Microbial Community Richness and Diversity A total of 721,657 fungal sequences (T6, 240,640; T2, 240,320; CK, 240,697) and 721,975 bacterial sequences (T6, 240,684; T2, 240,809; CK, 240,482) were queried after quality filtering, with an average read length of 412–415 bp for bacteria and 230–252 bp for fungi. The rarefaction curves at 3% CK CK dissimilarity indicated that the operational taxonomic unit (OTU) number of both fungi and bacteria T2 1000 T2 T6 T6 (Figure 3) decreased with PSK fumigation. In accordance with this, the richness and diversity values were also reduced, and the reduction showed an obvious dose–effect relationship with PSK. Treatment with 6% PSK resulted in the lowest α-diversity of both bacteria and fungi (Table 4). 0 20000 40000 60000 0 20000 40000 60000 Sequence Number Sequence Number Figure 3. Rarefaction curves of bacterial 16S rRNA genes (A) and fungal ITS sequences (B) of 97% Figure 3. Rarefaction curves of bacterial 16S rRNA genes (A) and fungal ITS sequences (B) of 97% similarity from soils with prickly ash seed kernel (PSK) fumigant. T2, 2% of PSK amendment; T6, 6% similarity from soils with prickly ash seed kernel (PSK) fumigant. T2, 2% of PSK amendment; T6, 6% of of PSK amendment; CK, control with no PSK amendment. Bars above the scatter points represent the PSK amendment; CK, control with no PSK amendment. Bars above the scatter points represent the standard error of three replicates. standard error of three replicates. Table 4. Alpha diversity index of bacteria and fungi operational taxonomic unit (OTU) in soil samples treated with different amounts of prickly ash seed kernel. Bacterial community Fungal community Treatment OTUs Shannon Chao1 ACE OTUs Shannon Chao1 ACE CK 2920 ±234 a 9.6±0.4 a 3177±224 a 3139±204 a 489±32 a 5.7±0.2 a 517±21a 517±24 a T2 2902±309 a 9.6±0.2 a 3112±120 a 3123±127 a 440±15 ab 5.4±0.3 a 467±15 ab 470±15 ab T6 2058±309 b 8.5±0.3 b 2243±331 b 2248±333 b 384±8 b 5.3±0.2 a 420±14 b 418±13 b Values are the means of three replicates ± SD. Values within the same column, followed by different lowercase letters are significantly different (P < 0.05). Suppression of soil bacterial or fungal populations by bio-fumigation was reported in several previous studies [36–38]. Ma et al. (2018) [39] used Tagetes erecta powder for soil fumigation and found that the diversity and richness index of fungi decreased. Interestingly, our results also indicated that compared to bacteria, the fungi were more susceptible to PSK treatment. The Shannon, Chao1, and ACE indices of bacteria with the addition of 2% PSK were not significantly different from those of the control, while that of fungi were obviously lower compared to that of the control. 3.5. Effect of PSK Fumigant on Microbial Structure The relationship between all soil microbial community compositions was illustrated by NMDS analysis (Figure 4). The NMDS plot showed that three randomly collected replicates from each treatment were usually located closely. The bacterial (Stress = 0.045) and fungal (Stress = 0.001) community of the high PSK (6%), low PSK (2%), and no PSK (control) treatments were well separated from each other, indicating that the composition of the soil microbial community was altered in response to the bio-fumigation treatments. According to the result of the Mantel test, the soil parameters that were significantly correlated with the bacterial and fungal community structures were selected for the CCA analysis (Figure 5). The microbial communities shifted with PSK amendment along CCA1 and CCA2, respectively. Among all the tested environmental variables, organic matter (OC), hydrolyzable nitrogen (N), pH, and disease index (DI) were relatively near CCA1 which explains the 60.22% variation in fungal communities (r = 0.4946, P = 0.001) and 58.15% in the bacterial communities (r = 0.4919, P = 0.001). PSK (6% and 2%) fumigant treatment increased (P < 0.05) the relative abundance of bacterial species OTU Number OTU Number Agronomy 2020, 10, 770 9 of 14 Table 4. Alpha diversity index of bacteria and fungi operational taxonomic unit (OTU) in soil samples treated with di erent amounts of prickly ash seed kernel. Bacterial Community Fungal Community Treatment OTUs Shannon Chao1 ACE OTUs Shannon Chao1 ACE CK 2920234 a 9.60.4 a 3177224 a 3139204 a 48932 a 5.70.2 a 51721a 51724 a T2 2902309 a 9.60.2 a 3112120 a 3123127 a 44015 ab 5.40.3 a 46715 ab 47015 ab T6 2058309 b 8.50.3 b 2243331 b 2248333 b 3848 b 5.30.2 a 42014 b 41813 b Values are the means of three replicates  SD. Values within the same column, followed by di erent lowercase letters are significantly di erent (P < 0.05). Suppression of soil bacterial or fungal populations by bio-fumigation was reported in several previous studies [36–38]. Ma et al. (2018) [39] used Tagetes erecta powder for soil fumigation and found that the diversity and richness index of fungi decreased. Interestingly, our results also indicated that compared to bacteria, the fungi were more susceptible to PSK treatment. The Shannon, Chao1, and ACE indices of bacteria with the addition of 2% PSK were not significantly di erent from those of the control, while that of fungi were obviously lower compared to that of the control. 3.5. E ect of PSK Fumigant on Microbial Structure The relationship between all soil microbial community compositions was illustrated by NMDS analysis (Figure 4). The NMDS plot showed that three randomly collected replicates from each treatment were usually located closely. The bacterial (Stress = 0.045) and fungal (Stress = 0.001) Agronomy 2020, 10, x FOR PEER REVIEW 10 of 15 community of the high PSK (6%), low PSK (2%), and no PSK (control) treatments were well separated from each other, indicating that the composition of the soil microbial community was altered in Pseudomonas, Azospirillum, Thermomonas, Glutamicibacter (6% PSK), and Dyella (6% PSK) as well as the r fu esponse ngal spec to ie the s Tric bio-fumigation hoderma, Mor tr tierell eatments. a, and Aspergillus (6% PSK) (Figure A2). Figure 4. Nonmetric multidimensional scaling (NMDS) graphs of soil fungal (A) and bacterial (B) Figure 4. Nonmetric multidimensional scaling (NMDS) graphs of soil fungal (A) and bacterial (B) communities 30 d after the application of PSK fumigant. P-value was obtained by analysis of molecular communities 30 d after the application of PSK fumigant. P-value was obtained by analysis of variance (AMOVA) analysis (unweighted_unifrac). molecular variance (AMOVA) analysis (unweighted_unifrac). According to the result of the Mantel test, the soil parameters that were significantly correlated with the bacterial and fungal community structures were selected for the CCA analysis (Figure 5). The microbial communities shifted with PSK amendment along CCA1 and CCA2, respectively. Among all the tested environmental variables, organic matter (OC), hydrolyzable nitrogen (N), pH, and disease index (DI) were relatively near CCA1 which explains the 60.22% variation in fungal communities (r = 0.4946, P = 0.001) and 58.15% in the bacterial communities (r = 0.4919, P = 0.001). PSK (6% and 2%) fumigant treatment increased (P < 0.05) the relative abundance of bacterial species Pseudomonas, Azospirillum, Thermomonas, Glutamicibacter (6% PSK), and Dyella (6% PSK) as well as the fungal species Trichoderma, Mortierella, and Aspergillus (6% PSK) (Figure A2). Figure 5. Results from canonical correspondence analysis (CCA) to explore the relationship between microbial populations and selected environmental factors in the soil. (A) Bacterial; (B) Fungal. OC, organic matter; N, hydrolyzable nitrogen; DI, disease index. To the best of our knowledge, the present study is the first to detail the effects of PSK on soil microbial communities. Therefore, the corroboration of results is not possible. Nevertheless, our findings were partially supported by several related studies. Hu et al. (2015) [40] found that different types of isothiocyanates resulted in significant changes in fungal community composition. Similarly, Weerakoon et al. (2012) [37] reported that modification of the fungal community by the addition of Brassica juncea seed meal might contribute to the long-term suppression of Pythium adappressorium. In line with our results, the increase in Aspergillus [38], Mortierella [40], and Trichoderma [37] were also observed in previous studies, which were believed to be more tolerant to bio-fumigation [41,42]. In line with the results of previous studies, with the application of lower PSK amount, the soil bacterial community was not severely affected [38,40]. Hollister et al. (2012) [36] found that bacteria related to fungal disease control (such as Bacillus, Pseudomonas, and Streptomyces) increased with the application of a glucosinolate-containing brassicaceous oilseed meal (Brassica juncea). PSK fumigant also increased the relative abundance of bacterial genera, which were reported to be associated with plant growth promotion or disease control [39,43,44]. Based on these results, we hypothesized that the microbial community shift following PSK application could be one of the important mechanisms for disease suppression. Agronomy 2020, 10, x FOR PEER REVIEW 10 of 15 Pseudomonas, Azospirillum, Thermomonas, Glutamicibacter (6% PSK), and Dyella (6% PSK) as well as the fungal species Trichoderma, Mortierella, and Aspergillus (6% PSK) (Figure A2). Figure 4. Nonmetric multidimensional scaling (NMDS) graphs of soil fungal (A) and bacterial (B) communities 30 d after the application of PSK fumigant. P-value was obtained by analysis of Agronomy 2020, 10, 770 10 of 14 molecular variance (AMOVA) analysis (unweighted_unifrac). Figure 5. Results from canonical correspondence analysis (CCA) to explore the relationship between Figure 5. Results from canonical correspondence analysis (CCA) to explore the relationship between microbial populations and selected environmental factors in the soil. (A) Bacterial; (B) Fungal. OC, microbial populations and selected environmental factors in the soil. (A) Bacterial; (B) Fungal. OC, organic matter; N, hydrolyzable nitrogen; DI, disease index. organic matter; N, hydrolyzable nitrogen; DI, disease index. To the best of our knowledge, the present study is the first to detail the e ects of PSK on To the best of our knowledge, the present study is the first to detail the effects of PSK on soil soil microbial communities. Therefore, the corroboration of results is not possible. Nevertheless, microbial communities. Therefore, the corroboration of results is not possible. Nevertheless, our our findings were partially supported by several related studies. Hu et al. (2015) [40] found that di erent findings were partially supported by several related studies. Hu et al. (2015) [40] found that different types of isothiocyanates resulted in significant changes in fungal community composition. Similarly, types of isothiocyanates resulted in significant changes in fungal community composition. Similarly, Weerakoon et al. (2012) [37] reported that modification of the fungal community by the addition of Weerakoon et al. (2012) [37] reported that modification of the fungal community by the addition of Brassica juncea seed meal might contribute to the long-term suppression of Pythium adappressorium. Brassica juncea seed meal might contribute to the long-term suppression of Pythium adappressorium. In In line with our results, the increase in Aspergillus [38], Mortierella [40], and Trichoderma [37] were line with our results, the increase in Aspergillus [38], Mortierella [40], and Trichoderma [37] were also also observed in previous studies, which were believed to be more tolerant to bio-fumigation [41,42]. observed in previous studies, which were believed to be more tolerant to bio-fumigation [41,42]. In In line with the results of previous studies, with the application of lower PSK amount, the soil line with the results of previous studies, with the application of lower PSK amount, the soil bacterial bacterial community was not severely a ected [38,40]. Hollister et al. (2012) [36] found that bacteria community was not severely affected [38,40]. Hollister et al. (2012) [36] found that bacteria related to related to fungal disease control (such as Bacillus, Pseudomonas, and Streptomyces) increased with the fungal disease control (such as Bacillus, Pseudomonas, and Streptomyces) increased with the application application of a glucosinolate-containing brassicaceous oilseed meal (Brassica juncea). PSK fumigant of a glucosinolate-containing brassicaceous oilseed meal (Brassica juncea). PSK fumigant also increased also increased the relative abundance of bacterial genera, which were reported to be associated with the relative abundance of bacterial genera, which were reported to be associated with plant growth plant growth promotion or disease control [39,43,44]. Based on these results, we hypothesized that the promotion or disease control [39,43,44]. Based on these results, we hypothesized that the microbial microbial community shift following PSK application could be one of the important mechanisms for community shift following PSK application could be one of the important mechanisms for disease disease suppression. suppression. 4. Conclusions Findings in the current study clearly demonstrated that the application of appropriate PSK (2%) is capable of e ectively controlling tobacco black shank. The fumigant e ect can be attributed to the volatiles released by PSK, such as linalool, piperitone, sabinene, and limonene. Moreover, PSK fumigation also significantly promoted tobacco growth and improved soil fertility (total P, hydrolysable N, and available K), exhibiting the e ect of a fungicide and fertilizer. Interestingly, the shifts in microbial community structure showed increased proportions of bacterial taxa associated with pathogen suppression and plant growth promotion, suggesting that PSK can be applied in combination with certain biocontrol microbes. From this study, we concluded that PSK could be a new bio-fumigation material against plant soilborne pathogens. However, long-term, field-scale studies are needed to evaluate the fumigation e ect of PSK. Author Contributions: Conceptualization, C.-S.Z. and M.L.; methodology, J.C.; software, Y.Z.; resources, X.H.; data curation and writing—original draft preparation, Y.W. All authors have read and agreed to the published version of the manuscript. Funding: This research was funded by China National Tobacco Corporation, grant number 110201902003. Agronomy 2020, 10, x FOR PEER REVIEW 11 of 15 4. Conclusions Findings in the current study clearly demonstrated that the application of appropriate PSK (2%) is capable of effectively controlling tobacco black shank. The fumigant effect can be attributed to the volatiles released by PSK, such as linalool, piperitone, sabinene, and limonene. Moreover, PSK fumigation also significantly promoted tobacco growth and improved soil fertility (total P, hydrolysable N, and available K), exhibiting the effect of a fungicide and fertilizer. Interestingly, the shifts in microbial community structure showed increased proportions of bacterial taxa associated with pathogen suppression and plant growth promotion, suggesting that PSK can be applied in combination with certain biocontrol microbes. From this study, we concluded that PSK could be a new bio-fumigation material against plant soilborne pathogens. However, long-term, field-scale studies are needed to evaluate the fumigation effect of PSK. Author Contributions: Conceptualization, C.S.Z. and M.L.; methodology, J.C.; software, Y.Z.; resources, X.H.; Agronomy 2020, 10, 770 11 of 14 data curation and writing—original draft preparation, Y.W. All authors have read and agreed to the published version of the manuscript. Conflicts of Interest: The authors declare no conflict of interest. Funding: This research was funded by China National Tobacco Corporation, grant number 110201902003. Co Appendix nflicts of A Interest: The authors declare no conflict of interest. Appendix A Figure A1. Fumigant e ect of prickly ash seed kernel on P. nicotianae mycelia growth. (a) Control; Agronomy 2020, 10, x FOR PEER REVIEW 12 of 15 Figure A1. Fumigant effect of prickly ash seed kernel on P. nicotianae mycelia growth. (A) Control; (B) (b) 6 g/plate of PSK powders. 6 g/plate of PSK powders. Figure A2. Heatmap at genus level of soil bacterial (a) and fungal (b). T2, 2% of PSK amendment; T6, Figure A2. Heatmap at genus level of soil bacterial (A) and fungal (B). T2, 2% of PSK amendment; T6, 6% of PSK amendment; CK, control with no PSK amendment. 6% of PSK amendment; CK, control with no PSK amendment. Table A1. Composition of the extract of prickly ash seed kernel by gas chromatography coupled with flame ionization detection. Peak area percentage Identity Compounds (%) (%) Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- 10.316749 94 cis-9-Hexadecenoic acid 6.208132 99 n-Hexadecanoic acid 15.668002 99 Psilocin 11.752521 90 9,12-Octadecadienoic acid (Z,Z)- 15.248901 99 cis-Vaccenic acid 40.805695 99 Table A2. Fumigant effect of prickly ash seed kernel on P. nicotianae mycelial growth. Addition of prickly ash seed kernel (g) Inhibition rate (%) 1 35.19±0.99 d 2 45.91±1.02 c 4 52.05±0.87 b 6 61.60±0.85 a Values are the means of three replicates ± SD. Values within the same column, followed by different lowercase letters are significantly different (P < 0.05). References 1. Panabières, F.; Ali, G.S.; Allagui, M.B.; Dalio, R.J.D.; Gudmestad, N.C.; Kuhn, M.; Roy, S.G.; Schena, L.; Zampounis, A. Phytophthora nicotianae diseases worldwide: New knowledge of a long-recognised pathogen. Phytopatho. Mediterr. 2016, 55, 20−40. Agronomy 2020, 10, 770 12 of 14 Table A1. Composition of the extract of prickly ash seed kernel by gas chromatography coupled with flame ionization detection. Compounds Peak Area Percentage (%) Identity (%) Ethanone-1-(2-hydroxy-4,6-dimethoxyphenyl)- 10.316749 94 cis-9-Hexadecenoic acid 6.208132 99 n-Hexadecanoic acid 15.668002 99 Psilocin 11.752521 90 9,12-Octadecadienoic acid (Z,Z)- 15.248901 99 cis-Vaccenic acid 40.805695 99 Table A2. Fumigant e ect of prickly ash seed kernel on P. nicotianae mycelial growth. Addition of Prickly Ash Seed Kernel (g) Inhibition Rate (%) 1 35.190.99 d 2 45.911.02 c 4 52.050.87 b 6 61.600.85 a Values are the means of three replicates  SD. 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Journal

Agronomy – Multidisciplinary Digital Publishing Institute

Published: May 28, 2020

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