Literature DB >> 31485468

Dataset on collecting volatile compounds produced by three bacteria and testing their efficacy against the pathogen Peronophythora litchii.

Li Zheng1,2, Jun-Jian Situ1, Qing-Feng Zhu3, Ping-Gen Xi1, Yin Zheng1, Hong-Xia Liu4, Xiao-Fan Zhou1,5, Zi-de Jiang1.   

Abstract

This data article provides supporting information to a related research article "Identification of volatile organic compounds for the biocontrol of postharvest litchi fruit pathogen Peronophythora litchii" (Zheng et al., 2019) [1]. The litchi downy blight (LDB) caused by Peronophythora litchii is a major postharvest disease that can severely damage litchi trees and harvested litchi fruit. This data article describes the analysis of volatile compounds (VOCs) in three bacterial biological control agents (BCAs) of LDB (Bacillus amyloliquefaciens PP19, Bacillus pumilus PI26, and Exiguobacterium acetylicum SI17) via gas chromatography/mass spectrometry (GC-MS). Volatile compounds produced by the three BCAs were captured at five culture time of 24, 36, 48, 60 and 72 h by a solid-phase micro extraction method. The chemical compositions were identified and their retention times as well as relative peak areas were analyzed. Compounds commonly produced at more than one time points were then subjected to in vitro (on petri dish) and in vivo (litchi fruit and leaves) evaluations for their antagonistic activities against the pathogen Peronophythora litchii.

Entities:  

Keywords:  Biocontrol; GC–MS; Litchi downy blight; Peronophythora litchii; Volatile compounds

Year:  2019        PMID: 31485468      PMCID: PMC6715820          DOI: 10.1016/j.dib.2019.104345

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table The data reveals distinct volatile profiles produced by different biological control agents (BCAs) of litchi downy blight which is valuable for researchers working on the disease. The data could be used by researchers to further investigate the mechanisms underlying the biocontrol activities of the bacterial volatile compounds reported in this study. The data allows to compare the reported compounds for their modes of action against Peronophythora litchii in vitro and/or in vivo. The data provides valuable information on the relationship between concentrations of compounds and their biocontrol efficacies.

Data

We collected data on different BCAs produced by GC-MS across different culture time, and against the pathogen Peronophythora litchii in in vitro and in vivo conditions. The six tables and two figures that are provided as data for this article contain the retention times, volatile compound names and the relative peak area (in percentage) of the three strains, antagonistic activity, efficacy to litchi downy blight at different concentrations.

Experimental design, materials and methods

Collection and identification of VOCs produced by strain PP19, SI17 and PI26

The three bacterial suspension was coated evenly on LB in sample vials. The bacterial VOCs were collected using advanced headspace solid phase microextraction (SPME) technique [2], and the compounds were extracted using the protocol described by Raza et al. [3] with some modifications. The bacteria were incubated in water bath at 45 °C for 80 min, and VOCs were extracted by headspace solid phase microextraction (SPME) (Supelco Co., Bellefonte, PA, USA; 50/30 μm DVB/CAR/PDMS, gray) during the last 40 min. The SPME fiber was inserted in the injector of GC-MS system (SHIMADAZU GCMS-QP2010 Ultra), and desorbed at 250 °C (3 min) with an HP-5MS column (30 m, 0.25-mm inside diameter, 0.25 μm). The protocol used for over temperature was 50 °C (2 min), and 250 °C (6 °C/min). The volatile compounds were identified based on their diversity in the three isolation in gas chromatograph equipped with mass spectrometer. HP-5MS column was used for the separation. Gas carrier was helium 1 mL/min. The relative amounts of volatile compounds in each part from the bacteria were determined by comparing spectra of each compound with library NIST11S and by data analysis in a GC-MS workstation (Software Version SHIMADZU GCMS solution) (Table 1, Table 2, Table 3, Fig. 1).
Table 1

Volatile compounds identified from 24 h culture of PP19 (Bacillus amyloliquefaciens), PI26 (B. pumilus), and SI17 (E. acetylicum).

PP19-RT (min)Relative peak area (%)Volatile organic compoundsPI26-RT (min)Relative peak area (%)Volatile organic compoundsSI17-RT (min)Relative peak area (%)Volatile organic compounds
7.06840.67a6-Methyl-2-heptanone7.08813.956-Methyl-2-heptanone7.1132.922-Heptanone
7.332.355-Methyl-2-heptanone7.32721.815-Methyl-2-heptanone7.3511.422-Ethyl-1-butanol
8.9337.212-Ethylhexan-1-ol12.25916.022-Decanone7.5153.331-Methyl-1,3-cyclopentadiene
9.5876.152-Nonanone12.3351.722-Decanol8.5050.62Tricyclo[2.2.1.02,6]heptan-3-ol
12.2622.232-Decanone12.5134.022-Dodecanol8.6361.63(1Z)-Cyclooctene
15.4761.49Pentadecane14.98528.812-Isobutyl-3-isopropylpyrazine8.8463.49(3aR,6aR)-1,2,3,3a,4,6a-Hexahydropentalene
19.7174.891-Iodohexadecane16.8210.622-Dodecanone9.5983.042-Nonanone
20.0073.54(3E,6E)-3,7,11-Trimethyl-1,3,6,10-dodecatetraene20.0113.04(3E,6E)-3,7,11-Trimethyl-1,3,6,10-dodecatetraene9.8691.12-Nonanol
28.6951.47Ethyl palmitate11.1124.922-Phenylethanol
12.12121.752-Decanone
12.324102-Decanol
12.52.822-Dodecanol
14.2870.26Ethyl 2-phenylacetate
14.5287.42-Undecanone
14.7124.512-Tridecanol
16.8128.82-Dodecanone
16.97310.636,10,14-trimethylpentadecan-2-one
17.1293.822-Hexadecanol
17.9060.143-Undecanone
18.8790.216,10-dimethylundeca-5,9-dien-2-one
18.9852.842-Tridecanone
19.1190.582-Heptadecanol
20.0091.04(3E,6E)-3,7,11-Trimethyl-1,3,6,10-dodecatetraene
20.6690.411-cyclododecylethanone
21.0311.22-Tetradecanone
21.1841.122-Nonadecanone

Volatile organic compounds printed in bold type were selected for the in vivo antagonism assay.

Table 2

Relative peak area of the 17 main volatile compounds of three BCAs identified across 24 h–72 h.

StrainTime point (h)2,5-DimethylpyrazineBicyclo[4.2.0]octa-1,3,5-triene1-(2-Aminophenyl)ethanone2-UndecanoneBenzothiazolePentadecane2-Ethylhexan-1-ol2-Nonanone(3E,6E)-3,7,11-Trimethyl-1,3,6,10-dodecatetraene1-Tridecene6-Methyl-2-heptanone5-Methyl-2-heptanonenonylcyclopropane6,10,14-trimethylpentadecan-2-one2-Dodecanone1-iodohexadecane5-Methyl-2-heptanone
PP1924000001.497.216.153.54040.6700004.8932.35
364.867.180.610.210.780.090.736.610.310.1911.7310.8220.660.380.520.2614.43
4800000001.210024.6641.47001.900
605.523.93.710.30.48001.5500.24.6114.0539.630.270.5700
7200000004.07007.644.1600000
PI2624000000003.04013.9500010.62021.81
36000000000.29055.1069.9000
4800000007.760039.84000000
603.1405.1700.1900000.190000000.78
7200000006.260023.460004.7800
SI17240007.40003.041.04000010.638.800
36003.941.130004.4600.385.983.9636.770000
4800012.030001.62000000000
601.6905.41000000.010.19000.30000.22
720005.60001.97003.62001.0118.700
Table 3

Numbers of bacterial VOCs compounds at 24, 36, 48, 60, 72 h.

Strain24 h36 h48 h60 h72 h
PP19933142817
SI172622131621
PI26813111622
Fig. 1

Numbers of bacterial VOCs compounds at 24, 36, 48, 60, 72 h (A) and Chemical classes of volatiles (B), A-K, 2,5-Dimethylpyrazine (C6H8N2); Bicyclo[4.2.0]octa-1,3,5-triene (C8H8); 1-(2-Aminophenyl)ethanone (C8H9NO); 2-Undecanone (C11H22O); Benzothiazole (C7H5NS); Pentadecane (C15H32); 2-ethylhexan-1-ol (C8H18O); 2-Nonanone (C9H18O); α-Farnesene (C15H24); 1-Tridecene (C13H26); 6-Methyl-2-heptanone (C8H16O), respectively released from PP19 (B. amyloliquefaciens), SI17 (Exiguobacterium acetylicum), PI26 (B. pumilus), and HS10 (B. licheniformis) and L-N, three positive compounds from the references of BABA (3-Aminobutanoic acid), SA (Salicylic acid), MeJA (Methyl jasmonate), respectively.

Volatile compounds identified from 24 h culture of PP19 (Bacillus amyloliquefaciens), PI26 (B. pumilus), and SI17 (E. acetylicum). Volatile organic compounds printed in bold type were selected for the in vivo antagonism assay. Relative peak area of the 17 main volatile compounds of three BCAs identified across 24 h–72 h. Numbers of bacterial VOCs compounds at 24, 36, 48, 60, 72 h. Numbers of bacterial VOCs compounds at 24, 36, 48, 60, 72 h (A) and Chemical classes of volatiles (B), A-K, 2,5-Dimethylpyrazine (C6H8N2); Bicyclo[4.2.0]octa-1,3,5-triene (C8H8); 1-(2-Aminophenyl)ethanone (C8H9NO); 2-Undecanone (C11H22O); Benzothiazole (C7H5NS); Pentadecane (C15H32); 2-ethylhexan-1-ol (C8H18O); 2-Nonanone (C9H18O); α-Farnesene (C15H24); 1-Tridecene (C13H26); 6-Methyl-2-heptanone (C8H16O), respectively released from PP19 (B. amyloliquefaciens), SI17 (Exiguobacterium acetylicum), PI26 (B. pumilus), and HS10 (B. licheniformis) and L-N, three positive compounds from the references of BABA (3-Aminobutanoic acid), SA (Salicylic acid), MeJA (Methyl jasmonate), respectively.

Overview the levels of the volatile compounds from the three isolation at antagonistic activity against P. litchii and relative peak area

The antagonistic activity against P. litchii and relative peak area across five time point to assess the volatile compounds level (Table 4, Fig. 2). The former was referred to Xing et al. [4] and the latter was analyzed from the GC-MS dataset.
Table 4

Overview of the volatile compounds of three BCAs identified across 24 h–72 h.

Pure CompoundsAntagonistic activityRelative peak area (%)
PP19SI17PI26
2,5-Dimethylpyrazine+10.381.693.14
Bicyclo[4.2.0]octa-1,3,5-triene11.0800
1-(2-Aminophenyl)ethanone+4.329.355.17
2-Undecanone+0.5126.160
Benzothiazole+1.2600.19
Pentadecane1.5800
2-Ethylhexan-1-ol+7.9400
2-Nonanone19.5911.0914.02
(3E,6E)-3,7,11-Trimethyl-1,3,6,10-dodecatetraene3.851.053.33
1-Tridecene0.390.570.19
6-Methyl-2-heptanone89.319.682.25
5-Methyl-2-heptanone70.53.965.1
Nonylcyclopropane60.2937.070
6,10,14-trimethylpentadecan-2-one0.6511.6469.9
2-Dodecanone2.9927.515.4
1-Iodohexadecane5.1500
5-Methyl-2-heptanone46.780.2222.59
Fig. 2

The VOCs of PI26 (A) and compounds of BTH (Benzothiazole), EA (1-(2-Aminophenyl)ethanone), AF (α-Farnesene) and the positive control of SA (Salicylic acid), MeJA (Methyl jasmonate), BABA (3-Aminobutanoic acid) (B) against the pathogen P. litchii in the petri dish at 5 d.

Overview of the volatile compounds of three BCAs identified across 24 h–72 h. The VOCs of PI26 (A) and compounds of BTH (Benzothiazole), EA (1-(2-Aminophenyl)ethanone), AF (α-Farnesene) and the positive control of SA (Salicylic acid), MeJA (Methyl jasmonate), BABA (3-Aminobutanoic acid) (B) against the pathogen P. litchii in the petri dish at 5 d.

Measures taken against the P. litchii in vivo on litchi fruit and leaves

The pathogen P. litchi was cultured on CA medium (carrot juice from 200 g carrot topped up to 1 L, 15 g/L agar) at 28 °C for 5 d, which was observed under an electronic microscope; its concentration was adjusted to 5 × 104 sporangia/mL followed the method of Jiang LQ et al. [5]. Six chemicals were evaluated at the concentrations of 1000, 500 and 200mg L−1, while the corresponding solvent-only dilutions were used as control for each chemical and concentration tested. The healthy fruit of litchi cultivar “Huaizhi” (about 85% ripening degree, a private farm, Conghua district, Guangzhou City, Guangdong Province) or 5 branches (a private farm, Huadu district, Guangzhou City, Guangdong Province) with at least 10–20 leaves per replicate were collected and immediately transported to the laboratory for processing. Every 30 detached fruit were placed in a container (323 × 220×100 mm; Hualong Plastic Factory, Foshan, China) whose bottom was covered with two pieces of sterile filter paper (D = 18 cm), moistened with 15 mL sterile water. 300 mL was used for each treatment by spray. After 24 hours, fruit in each treatment were inoculated with the pathogen P. litchii at 5 × 104 sporangia/mL by spray. The relative humidity in the container was 85–90%, which was placed in a small greenhouse maintained at 25 °C and with 24 h light cycle and the relative humidity of 60%–75% (the parameters were monitored by TH6 automatic humidity and temperature data logge, Hangzhou Meacon Automation Technology Co., Ltd). Disease severity was monitored during 48–84 hours post inoculation (hpi) (Table 5, Table 6), and the levels of disease severity were determined using the method of Jiang YM et al. [6].
Table 5

Efficacy against LDB of the VOCs blends of different concentration in vivo fruit or leaves “Huaizhi” (raw data).

Material
Treatment
Concentration (mg L−1)
48 hpi60 hpi72 hpi84 hpi
Disease index
Disease index
Disease index
Disease index
Repeat I
Repeat II
Repeat Ⅲ
Repeat Ⅰ
Repeat II
Repeat Ⅲ
Repeat Ⅰ
Repeat II
Repeat Ⅲ
Repeat Ⅰ
Repeat II
Repeat Ⅲ

fruit
BABA10005.1910.7410.379.2611.8514.4411.4823.3319.2617.7835.1929.26
AF17.7828.8936.3025.9337.0438.1535.1942.5964.4454.8157.0481.11
CK12.9612.592.2218.5212.965.5622.9628.5215.9338.5236.3026.30
BABA5007.7811.4820.7419.2624.4432.2232.2233.7046.6740.7455.5658.15
AF32.9623.7016.6754.0723.3324.0757.7839.2639.6364.8154.4460.00
EA25.9328.1525.1944.4447.4148.8947.0453.7054.4473.7070.0074.81
BTH36.3038.1526.6747.0445.9345.1952.5961.8557.7879.6382.2278.52
SA27.7821.4820.0037.7837.7835.5666.6772.2272.2281.1181.1177.04
Me-JA16.6720.7414.4438.5232.5921.8569.2655.5635.9378.5263.7062.96
CK17.4125.5633.7050.3762.5968.5271.4881.1178.5281.4885.5683.33
EA200
20.0034.0734.0747.4152.5954.0777.7861.1170.0079.6376.3077.41
BTH20.7427.0420.0035.5646.6732.5954.0781.8561.4865.9383.3371.11
SA7.7824.0719.2613.3338.5225.1933.7045.1951.8553.3371.1175.56
Me-JA20.0028.8910.0028.8953.7028.8944.8169.6352.9669.6385.5671.48

CK

28.89
42.96
38.15
62.22
62.96
64.81
61.11
66.67
76.67
66.67
82.22
87.04

leafTreatmentConcentration (mg L−1)62 hpi72 hpi84 hpi96 hpi
Disease index
Disease index
Disease index
Disease index
RepeatⅠ
Repeat Π
Repeat Ⅲ
Repeat Ⅰ
Repeat Π
Repeat Ⅲ
Repeat Ⅰ
Repeat Π
Repeat Ⅲ
Repeat Ⅰ
Repeat Π
Repeat Ⅲ

BABA100088.1088.0171.9987.5072.6673.6192.8674.7887.0492.8680.4289.35
AF82.2655.7886.9776.2860.7783.1284.1966.6785.4787.6179.1487.39
CK35.2644.6344.4473.7263.7575.0072.4468.3167.3684.6278.6981.25
BABA50014.945.296.7220.5022.7525.0653.2680.9563.3159.9677.2561.24
AF29.3120.8634.5780.2741.0456.5885.4451.2585.6092.3461.0086.63
EA9.953.8614.3237.509.6631.2044.9117.8783.1262.0421.9879.70
BTH9.0023.6615.7412.2624.9130.5623.9538.1737.7319.1637.6334.72
SA28.8934.4931.1644.4475.0039.6160.8583.5666.6783.5985.8858.21
Me-JA23.6132.2651.9121.7646.1561.4665.7463.6880.7367.1375.0079.34
CK22.2213.2230.2425.9917.0540.9884.2372.8076.3284.0531.2375.77
EA20024.2737.0412.5924.2737.0412.5957.8938.8948.7060.8265.2866.85
BTH46.5311.7530.1646.5311.7530.1662.5055.3442.8667.1358.3369.64
SA19.6723.9512.9019.6723.9512.9062.4867.0529.3766.6769.9265.28
Me-JA6.1920.3016.916.1920.3016.9112.5741.2475.8517.1245.7339.61
CK11.4611.7333.1011.4611.7333.1027.7838.5869.4426.7443.8352.08
Table 6

Efficacy against LDB of the VOCs blends of different concentration in vivo fruit or leaves “Huaizhi” (analyzed).

MaterialTreatmentxConcentration (mg L−1)48 hpi
60 hpi
72 hpi
84 hpi
Disease index (%)
Efficacy (%)
Disease index (%)
Efficacy (%)
Disease index (%)
Efficacy (%)
Disease index (%)
Efficacy (%)

fruit
BABA10008.77±1.79b5.3311.85±1.50b418.02±3.48b19.7827.41±5.11b18.68
AF27.66±5.38a−198.6733.71±3.90a−17347.41±3.78a−110.9964.32±8.42a−90.84
Control9.26±3.52b012.35±3.76b022.47±3.64b033.71±3.76b0
P-value0.02140.00480.02440.0109
BABA50013.33±3.85c47.8325.31±3.77c58.1637.53±4.59d51.2851.48±5.42e38.31
AF24.44±4.72ab4.3533.82±10.13bc44.0845.56±6.11cd40.8759.75±3.00de28.4
EA26.42±0.89ab−3.3846.91±1.31ab22.4551.73±2.35cd32.8572.84±1.45bc12.72
BTH33.71±3.56a−31.8846.05±0.54ab23.8857.41±2.68bc25.4880.12±1.10ab3.99
SA23.09±2.39bc9.6637.04±0.74bc38.7870.37±1.85ab8.6579.75±1.36ab4.44
MeJA17.28±1.84bc32.3730.99±4.88c48.7853.58±9.67c30.4568.39±5.07cd18.05
Control25.56±4.70ab060.49±5.34a077.04±2.88a083.46±1.18a0
P-value0.02030.00330.0010.0001
EA200
29.38±4.69ab19.8751.36±2.02ab18.9169.63±4.82a−2.1777.78±0.98a1.1
BTH22.59±2.23b38.3838.27±4.28bc39.5765.80±8.31a3.4473.46±5.16a6.59
SA17.04±4.83b53.5425.68±7.28c59.4543.58±5.30b36.0566.67±6.79a15.23
MeJA19.63±5.46b46.4637.16±8.27bc41.3355.80±7.30ab18.1275.56±5.03a3.92
Control36.67±4.13a063.33±0.77a068.15±4.55a078.64±6.15a0
P-value
0.059

0.0052

0.0681

0.5325


leafTreatmentxConcentration (mg L−1)62 hpi
72 hpi
84 hpi
96 hpi
Disease index (%)
Efficacy (%)
Disease index (%)
Efficacy (%)
Disease index (%)
Efficacy (%)
Disease index (%)
Efficacy (%)

BABA100082.70±5.36 a−99.5577.92±4.80 a−10.0384.89±5.33 a−22.3887.54±3.70 a−7.39
AF75.00±9.71 a−80.9873.39±6.61 a−3.6378.78±6.06 a−13.5684.71±2.79 a−3.92
Control41.44±3.09 b070.82±3.56 a069.37±1.56 a081.52±1.72 a0
P-value0.01010.63590.14480.3874
BABA5008.98±3.01 d58.9622.77±1.32 c18.6965.84±8.09 a15.3566.15±5.56 a−3.87
AF28.25±3.99 abc−29.0259.30±11.41 a−111.7374.10±11.42 a4.7479.99±9.64 a−25.6
EA9.38±3.03 d57.1626.12±8.43 c6.7448.63±18.93 ab37.4754.57±17.08 ab14.31
BTH16.13±4.24 cd26.3122.58±5.41 c19.3933.28±4.67 b57.2130.50±5.73 b52.1
SA31.51±1.63 ab−43.9453.02±11.08 ab−89.3170.36±6.81 a9.5475.89±8.87 a−19.17
MeJA35.93±8.37 a−64.1143.12±11.56 abc−53.9870.05±5.37 a9.9473.82±3.57 a−15.92
Control21.89±4.92 bcd028.01±6.98 bc077.78±3.38 a063.68±16.40 a0
P-value0.00460.04070.05790.0772
EA20024.63±7.06 a−31.2923.14±5.84 a−1.5548.49±5.49 a−7.1364.32±1.81 a−57.32
BTH29.48±10.05 a−57.1242.05±4.18 a−84.5253.57±5.74 a−18.3365.03±3.43 a−59.08
SA18.84±3.22 a−0.428.58±4.88 a−25.4152.97±11.87 a−1767.29±1.37 a−64.59
MeJA14.47±4.25 a22.922.12±8.05 a2.9343.22±18.29 a4.5334.15±8.70 b16.46
Control18.76±7.17 a022.79±8.15 a045.27±12.48 a040.88±7.46 b0
P-value0.58370.22380.95840.0034

x Bacterial VOCs composition were sprayed to fruit (about 80% ripening degree) or leaves of branches in the lab of the fresh-box, and the suspension of P. litchii at at 5 × 104 sporangium mL−1 was sprayed onto the fruit or leaves at 24 hpt. Data are presented as means of four replicates ± standard errors; different letters indicate significant differences between treatments according to LSD test at P < 0.

Efficacy against LDB of the VOCs blends of different concentration in vivo fruit or leaves “Huaizhi” (raw data). Efficacy against LDB of the VOCs blends of different concentration in vivo fruit or leaves “Huaizhi” (analyzed). x Bacterial VOCs composition were sprayed to fruit (about 80% ripening degree) or leaves of branches in the lab of the fresh-box, and the suspension of P. litchii at at 5 × 104 sporangium mL−1 was sprayed onto the fruit or leaves at 24 hpt. Data are presented as means of four replicates ± standard errors; different letters indicate significant differences between treatments according to LSD test at P < 0. Disease severity was defined as follows: 0, 1, 3, 5, 7, and 9 represent 0, <5, 6 to 10, 11 to 25, 26 to 50, and >50% leaf area with symptoms, respectively. Disease index and biocontrol efficacy was calculated as follows: Disease index (%) = [Σ (Disease level × number of fruit in each level)/(the highest level × total number of fruit)] × 100; Biocontrol efficacy (%) = [(Disease index of control - Disease index of treatment)/Disease index of control] × 100.

Data analysis

Data on plate antagonism assay disease index, control efficacy were processed and analyzed in Microsoft Excel. Least significant difference test (P < 0.05) was performed using the statistical software data processing system (DPS version 7.05, Zhejiang University, Hangzhou, China). One-way ANOVA was used to compare the factors investigated.

Specifications Table

Subject areaAgricultural and Biological Sciences
More specific subject areaPlant disease
Type of dataTable and Figure
How data was acquiredVolatile compounds produced by three bacterial isolations (Bacillus amyloliquefaciens PP19, Bacillus pumilus PI26, and Exiguobacterium acetylicum SI17) were analyzed using gas chromatography coupled with mass spectrometry
Data formatRaw and analyzed
Experimental factorsThree bacteria (PP19, PI26, and SI17); five culture stages of each isolation (24, 36, 48, 60, and 72 h); two assays of the biocontrol activities against the pathogen Peronophythora litchii (in vitro on plate and in vivo on detached fruit and leaves)
Experimental featuresIdentification of bacterial volatile compounds using GC-MS; examination of identified volatile components for their in vitro antagonism and in vivo biocontrol efficacy.
Data source locationGuangzhou, Guangdong province, China
Data accessibilityThe data are available with this article and accessible to the public.
Related research articleL. Zheng., J-J. Situ., Q-F, Zhu., P-G. Xi., Y. Zheng., H-X, Liu., X–F. Zhou., Z-D. Jiang. Identification of volatile organic compounds for the biocontrol of postharvest litchi fruit pathogen Peronophythora litchii. Postharvest biology and technology, 2019, 155: 37–46 [1].
Value of the data

The data reveals distinct volatile profiles produced by different biological control agents (BCAs) of litchi downy blight which is valuable for researchers working on the disease.

The data could be used by researchers to further investigate the mechanisms underlying the biocontrol activities of the bacterial volatile compounds reported in this study.

The data allows to compare the reported compounds for their modes of action against Peronophythora litchii in vitro and/or in vivo.

The data provides valuable information on the relationship between concentrations of compounds and their biocontrol efficacies.

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Review 1.  Dynamic chemical communication between plants and bacteria through airborne signals: induced resistance by bacterial volatiles.

Authors:  Mohamed A Farag; Huiming Zhang; Choong-Min Ryu
Journal:  J Chem Ecol       Date:  2013-07-24       Impact factor: 2.626

2.  Response of tomato wilt pathogen Ralstonia solanacearum to the volatile organic compounds produced by a biocontrol strain Bacillus amyloliquefaciens SQR-9.

Authors:  Waseem Raza; Ning Ling; Liudong Yang; Qiwei Huang; Qirong Shen
Journal:  Sci Rep       Date:  2016-04-22       Impact factor: 4.379

3.  PlMAPK10, a Mitogen-Activated Protein Kinase (MAPK) in Peronophythora litchii, Is Required for Mycelial Growth, Sporulation, Laccase Activity, and Plant Infection.

Authors:  Liqun Jiang; Junjian Situ; Yi Zhen Deng; Lang Wan; Dandan Xu; Yubin Chen; Pinggen Xi; Zide Jiang
Journal:  Front Microbiol       Date:  2018-03-08       Impact factor: 5.640

4.  Antifungal Activity of Natural Volatile Organic Compounds against Litchi Downy Blight Pathogen Peronophythora litchii.

Authors:  Mengyu Xing; Li Zheng; Yizhen Deng; Dandan Xu; Pinggen Xi; Minhui Li; Guanghui Kong; Zide Jiang
Journal:  Molecules       Date:  2018-02-08       Impact factor: 4.411

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