Scientia Agricultura Sinica

• PLANT PROTECTION • Previous Articles    

Transcriptome and proteome analysis of Bacillus subtilis NCD-2 response to L-proline from cotton root exudates

ZHAO WeiSong, GUO QingGang, DONG LiHong, WANG PeiPei, SU ZhenHe, ZHANG XiaoYun, LU XiuYun, LI SheZeng, MA Ping   

  1. IPM Center of Hebei Province/Key Laboratory of Integrated Pest Management on Crops in Northern Region of North China, Ministry of Agriculture/Institute of Plant Protection, Hebei Academy of Agricultural and Forestry Sciences, Baoding 071000, Hebei
  • Received:2021-03-21 Accepted:2021-05-31 Online:2021-06-21 Published:2021-06-21

Abstract: 【Objective】L-proline in root exudates of cotton is one of the key factors affecting the colonization of biocontrol microorganisms. Previous studies showed that L-proline could improve the biofilm formation ability of Bacillus subtilis NCD-2. Through high-throughput sequencing technology, we explored the regulatory genes related to the biofilm formation and biocontrol potential of strain NCD-2, which laid a foundation for further understanding the molecular interaction between cotton root exudates and the strain.MethodTranscriptome (RNA-seq) and isotope labeled relative quantitative proteomics (iTRAQ) were analyzed after 24 hours of co-culture with 10 mg·mL-1 L-proline and strain NCD-2, respectively. RT-qPCR was used to verify the expression of some differential genes in different metabolic pathways.ResultTranscriptome analysis showed that 1 071 DEGs were obtained after L-proline and NCD-2 co-culture, of which 602 genes were up-regulated and 469 genes were down regulated. Go analysis showed that 49, 14 and 30 functional items were significantly enriched in biological processes, cell components and molecular functions, respectively. KEGG pathway is mainly enriched in compound metabolism, flagellum assembly, bacterial motility or chemotaxis. Proteomic analysis showed that total of 211 differentially expressed proteins were detected compared to the control. Hierarchical cluster analysis was carried out to group proteins, among which 118 proteins were up-regulated, which 93 proteins were down-regulated. Go analysis showed that 13 and 8 functional items were significantly enriched in biological process and molecular function, respectively. KEGG pathway is mainly enriched in amino acid metabolism, carbohydrate metabolism, flagellum assembly and ABC transporter. Further transcriptional-proteomics analysis revealed that 112 differentially expressed genes (or proteins), including 38 down-regulated genes (or proteins) and 74 up-regulated genes (or proteins), were detected. Go was enriched in 9 aspects, including nutrient reservoir activity, catalytic activity, cell membrane, localization, cellular lipid metabolic process,  oxidation-reduction process, sigma factor activity, transport activity and spore formation. KEGG pathway is mainly enriched in energy metabolism, ABC transporters, antibiotic biosynthesis, flagellum assembly, motility or chemotaxis and two-component system. 26 differentially expressed genes was verified by RT-qPCR, the results showed that there were some differences in the expression level, but the expression trend was basically consistent with that of RNA-seq and iTRAQ.ConclusionThe interaction between L-proline in cotton root exudates and Bacillus subtilis NCD-2 was a complex biological process, which depended on multiple genes in different metabolic pathway networks. It was clear that differential expressed genes (or proteins) of the two-component system, antibiotic biosynthesis, energy metabolism, motility or chemotaxis, flagellum assembly and in ABC transporter pathway may play an important role in the interaction between cotton root exudates and Bacillus subtilis. The results lay a foundation for further study on the molecular interaction between L-proline and B. subtilis NCD-2.


Key words: L-proline, Bacillus subtilis, transcriptome, proteome, interaction relationship

[1] XIAO Tao, LI Hui, LUO Wei, YE Tao, YU Huan, CHEN YouBo, SHI YuShi, ZHAO DePeng, WU Yun. Screening of Candidate Genes for Green Shell Egg Shell Color Traits in Chishui Black Bone Chicken Based on Transcriptome Sequencing [J]. Scientia Agricultura Sinica, 2023, 56(8): 1594-1605.
[2] LI Hui, ZHANG YuFeng, LI XiaoGang, WANG ZhongHua, LIN Jing, CHANG YouHong. Identification of Salt-Tolerant Transcription Factors in the Roots of Pyrus betulaefolia by the Association Analysis of Genome-Wide DNA Methylation and Transcriptome [J]. Scientia Agricultura Sinica, 2023, 56(7): 1377-1390.
[3] LI YiPu, TONG LiXiu, LIN YaNan, SU ZhiJun, BAO HaiZhu, WANG FuGui, LIU Jian, QU JiaWei, HU ShuPing, SUN JiYing, WANG ZhiGang, YU XiaoFang, XU MingLiang, GAO JuLin. Investigation of Low Nitrogen Tolerance of ZmCCT10 in Maize [J]. Scientia Agricultura Sinica, 2023, 56(6): 1035-1044.
[4] QU Qing, LIU Ning, ZOU JinPeng, ZHANG YaXuan, JIA Hui, SUN ManLi, CAO ZhiYan, DONG JinGao. Screening of Differential Genes and Analysis of Metabolic Pathways in the Interaction Between Fusarium verticillioides and Maize Kernels [J]. Scientia Agricultura Sinica, 2023, 56(6): 1086-1101.
[5] WANG YueNing, DAI HongJun, HE Yan, WEI Qiang, GUO XueLiang, LIU Yan, YIN MengTing, WANG ZhenPing. Regulation Mechanism of Brassinolide on Anthocyanins Synthesis and Fruit Quality in Wine Grapes Under High Temperature Stress Based on Transcriptome Analysis [J]. Scientia Agricultura Sinica, 2023, 56(6): 1139-1153.
[6] WANG JianFeng, CHENG JiaXin, SHU WeiXue, ZHANG YanRu, WANG XiaoJie, KANG ZhenSheng, TANG ChunLei. Functional Analysis of Effector Hasp83 in the Pathogenicity of Puccinia striiformis f. sp. tritici [J]. Scientia Agricultura Sinica, 2023, 56(5): 866-878.
[7] PENG JiaWei, ZHANG Ye, KOU DanDan, YANG Li, LIU XiaoFei, ZHANG XueYing, CHEN HaiJiang, TIAN Yi. Transcriptome Analysis of Peach Fruits at Different Developmental Stages in Peach Kurakato Wase and Early-Ripening Mutant [J]. Scientia Agricultura Sinica, 2023, 56(5): 964-980.
[8] FENG XianJun, WANG Li, WANG Tong, HOU LeiPing, LI MeiLan. Comparison of Sugar Content and Expression Analysis of Genes Related to Sugar Metabolism in Different Parts of Chinese Flowering Cabbage [J]. Scientia Agricultura Sinica, 2023, 56(11): 2158-2171.
[9] YOU YuWan,ZHANG Yu,SUN JiaYi,ZHANG Wei. Genome-Wide Identification of NAC Family and Screening of Its Members Related to Prickle Development in Rosa chinensis Old Blush [J]. Scientia Agricultura Sinica, 2022, 55(24): 4895-4911.
[10] YOU JiaLing,LI YouMei,SUN MengHao,XIE ZhaoSen. Analysis Reveals the Differential Expression of Genes Related to Starch Accumulation in Chloroplast of Leaf with Different Ages in Pinot Noir Grape [J]. Scientia Agricultura Sinica, 2022, 55(21): 4265-4278.
[11] SUN BaoJuan,WANG Rui,SUN GuangWen,WANG YiKui,LI Tao,GONG Chao,HENG Zhou,YOU Qian,LI ZhiLiang. Transcriptome and Metabolome Integrated Analysis of Epistatic Genetics Effects on Eggplant Peel Color [J]. Scientia Agricultura Sinica, 2022, 55(20): 3997-4010.
[12] LIU Xin,ZHANG YaHong,YUAN Miao,DANG ShiZhuo,ZHOU Juan. Transcriptome Analysis During Flower Bud Differentiation of Red Globe Grape [J]. Scientia Agricultura Sinica, 2022, 55(20): 4020-4035.
[13] WU TianQi,LI YaFei,SHI JiangLan,NING Peng,TIAN XiaoHong. Effects of Basal Nitrogen and Foliar Zinc Application at the Early Filling Stage on Zinc Enrichment and Protein Components Content in Wheat Grain [J]. Scientia Agricultura Sinica, 2022, 55(10): 1971-1986.
[14] XU XianBin,GENG XiaoYue,LI Hui,SUN LiJuan,ZHENG Huan,TAO JianMin. Transcriptome Analysis of Genes Involved in ABA-Induced Anthocyanin Accumulation in Grape [J]. Scientia Agricultura Sinica, 2022, 55(1): 134-151.
[15] GUO YongChun, WANG PengJie, JIN Shan, HOU Binghao, WANG ShuYan, ZHAO Feng, YE NaiXing. Identification of Co-Expression Gene Related to Tea Plant Response to Glyphosate Based on WGCNA [J]. Scientia Agricultura Sinica, 2022, 55(1): 152-166.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!