广西师范大学学报(自然科学版) ›› 2026, Vol. 44 ›› Issue (3): 148-162.doi: 10.16088/j.issn.1001-6600.2025061301

• 分子生物学与生物技术 • 上一篇    下一篇

贝莱斯芽孢杆菌 YWC-01全基因组测序及生物学特性分析

雷滢1, 许博文1, 秦海雄1, 黄心怡1, 赵甲元1, 杜娟2,3*   

  1. 1.四川师范大学 生命科学学院,四川 成都 610101;
    2.四川师范大学 地理与资源科学学院,四川 成都 610101;
    3.西南土地资源评价与监测教育部重点实验室(四川师范大学),四川 成都 610066
  • 收稿日期:2025-06-13 修回日期:2025-08-09 出版日期:2026-05-05 发布日期:2026-05-13
  • 通讯作者: 杜娟(1972—),女,四川雷波人,四川师范大学高级实验师。E-mail: dujuan@sicnu.edu.cn
  • 基金资助:
    国家自然科学基金青年科学基金(31801644)

Whole Genome Sequencing and Biological Characterization of Bacillus velezensis YWC-01

LEI Ying1, XU Bowen1, QIN Haixiong1, HUANG Xinyi1, ZHAO Jiayuan1, DU Juan2,3*   

  1. 1. College of Life Science, Sichuan Normal University, Chengdu Sichuan 610101, China;
    2. Faculty Geography Resources Science, Sichuan Normal University, Chengdu Sichuan 610101, China;
    3. Key Laboratory of Land Resources Evalution and Monitoring in Southwest (Sichuan Normal University), Ministry of Education, Chengdu Sichuan 610066, China
  • Received:2025-06-13 Revised:2025-08-09 Online:2026-05-05 Published:2026-05-13

摘要: 本文基于全基因组测序和生物学特性,评估1株从大曲中筛选到的可生物降解呕吐毒素(deoxynivalenol, DON)的贝莱斯芽孢杆菌YWC-01的益生潜力。采用稀释平板划线分离对大曲进行初筛、复筛并对获取的菌株进行鉴定。采用Illumina NovaSeq和PacBio Sequel测序平台完成全基因组测序。通过高效液相色谱检测该菌株降解DON的能力,并通过多数据库进行基因组功能注释。针对其代谢特征,预测碳水化合物活性酶家族组成和次级代谢产物基因簇,并进行毒力因子分析与耐药分子机制评估,同时基于基因gyrA构建分子进化树,揭示菌株进化关系。结果:筛选得到1株可以高效降解DON的贝莱斯芽孢杆菌YWC-01。在DON浓度为140 mg/L时,YWC-01对DON的降解率最大(29.1%);YWC-01菌株全基因组大小为4.04 Mb,G+C平均含量为46.51%,共编码3 928个基因,含87个tRNA基因,131个CAZy家族基因;antiSMASH预测显示YWC-01基因组含有macrolactin H、bacillaene和fengycin等13个次级代谢产物基因簇。综上,YWC-01致病性有限且可能产生多种功能性代谢产物,具有作为微生态制剂的潜力。

关键词: 贝莱斯芽孢杆菌, 脱氧雪腐镰刀菌烯醇, 全基因组测序, 生物学特性, 安全性

Abstract: This study characterizes Bacillus velezensis YWC-01, a strain isolated from Daqu with biodegradative activity against deoxynivalenol (DON), and evaluates its probiotic potential through whole-genome sequencing and biological trait analysis. Primary and secondary screening via dilution-plate streaking isolated the strain from Daqu, followed by identification. Whole-genome sequencing employed Illumina NovaSeq and PacBio Sequel platforms. DON degradation efficiency was quantified using high-performance liquid chromatography (HPLC). Genomic functional annotation utilized multiple databases. Metabolic traits were assessed by predicting carbohydrate-active enzyme (CAZy) families and secondary metabolite gene clusters, alongside virulence factor screening and antibiotic resistance mechanism evaluation. Phylogenetic analysis based on gyrA gene elucidated evolutionary relationships. The results showed that, YWC-01 degraded DON at a maximum rate of 29.1% (initial concentration: 140 mg/L). Its genome spanned 4.04 Mb with 46.51% G+C content, encoding 3 928 genes (including 87 tRNAs and 131 CAZy families). AntiSMASH predicted 13 secondary metabolite gene clusters, including those for macrolactin H, bacillaene, and fengycin synthesis. YWC-01 exhibits limited pathogenicity and harbors genetic potential for diverse functional metabolites, supporting its utility as a probiotic agent.

Key words: Bacillus velezensis, deoxynivalenol, whole genome sequencing, biological characteristics, safety

中图分类号:  Q933; TS201.3

[1] 邹诗祺, 宋佳, 曹清明, 等. 呕吐毒素的危害及脱毒研究进展[J]. 饲料工业, 2024, 45(3): 127-135. DOI: 10.13302/j.cnki.fi.2024.03.021.
[2] 姜冬梅, 王荷, 武琳霞, 等. 小麦中呕吐毒素研究进展[J]. 食品安全质量检测学报, 2020, 11(2): 423-432.
[3] HOOFT J M, BUREAU D P. Deoxynivalenol: mechanisms of action and its effects on various terrestrial and aquatic species[J]. Food and Chemical Toxicology, 2021, 157: 112616. DOI: 10.1016/J.FCT.2021.112616.
[4] FAN B, WANG C, SONG X F, et al.Bacillus velezensis FZB42 in 2018: the gram-positive model strain for plant growth promotion and biocontrol[J]. Frontiers in Microbiology, 2018, 9: 2491. DOI: 10.3389/fmicb.2018.02491.
[5] KHAN M S, GAO J L, CHEN X Q, et al. The endophytic bacteria Bacillus velezensis Lle-9, isolated from Lilium leucanthum, harbors antifungal activity and plant growth-promoting effects[J]. Journal of Microbiology and Biotechnology, 2020, 30(5): 668-680. DOI: 10.4014/jmb.1910.10021.
[6] KHALID F, KHALID A, FU Y C, et al. Potential of Bacillus velezensis as a probiotic in animal feed: a review[J]. Journal of Microbiology, 2021, 59(7): 627-633. DOI: 10.1007/s12275-021-1161-1.
[7] KENFAOUI J, DUTILLOY E, BENCHLIH S, et al.Bacillus velezensis: a versatile ally in the battle against phytopathogens: insights and prospects[J]. Applied Microbiology and Biotechnology, 2024, 108(1): 439. DOI: 10.1007/s00253-024-13255-7.
[8] 张德锋, 高艳侠, 王亚军, 等. 贝莱斯芽孢杆菌的分类、拮抗功能及其应用研究进展[J]. 微生物学通报, 2020, 47(11): 3634-3649. DOI: 10.13344/j.microbiol.china.190947.
[9] 刘方祥, 王风青, 郑佳, 等. 一株贝莱斯芽孢杆菌SL的体外益生特性[J]. 食品工业科技, 2026, 47(4): 204-214. DOI: 10.13386/j.issn1002-0306.2025010145.
[10] ADENIJI A A, LOOTS D T, BABALOLA O O. Bacillus velezensis: phylogeny, useful applications, and avenues for exploitation[J]. Applied Microbiology and Biotechnology, 2019, 103(9): 3669-3682. DOI: 10.1007/s00253-019-09710-5.
[11] FAN B, WANG C, DING X L, et al. AmyloWiki: an integrated database for Bacillus velezensis FZB42, the model strain for plant growth-promoting Bacilli[J]. Database, 2019, 2019: baz071. DOI: 10.1093/database/baz071.
[12] CHEN X H, KOUMOUTSI A, SCHOLZ R, et al. Comparative analysis of the complete genome sequence of the plant growth-promoting bacterium Bacillus amyloliquefaciens FZB42[J]. Nature Biotechnology, 2007, 25(9): 1007-1014. DOI: 10.1038/nbt1325.
[13] LIU H Y, ZENG Q C, YALIMAIMAITI N, et al. Comprehensive genomic analysis of Bacillus velezensis AL7 reveals its biocontrol potential against Verticillium wilt of cotton[J]. Molecular Genetics and Genomics, 2021, 296(6): 1287-1298. DOI: 10.1007/s00438-021-01816-8.
[14] 刘珊, 蒋杨丹, 颜佶沙, 等. 蜡样芽孢杆菌GW-01全基因组测序及生物学特性分析[J]. 食品工业科技, 2024, 45(7): 167-176. DOI: 10.13386/j.issn1002-0306.2023060031.
[15] CHIN C S, PELUSO P, SEDLAZECK F J, et al. Phased diploid genome assembly with single-molecule real-time sequencing[J]. Nature Methods, 2016, 13(12): 1050-1054. DOI: 10.1038/nmeth.4035.
[16] KOREN S, WALENZ B P, BERLIN K, et al. Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation[J]. Genome Research, 2017, 27(5): 722-736. DOI: 10.1101/gr.215087.116.
[17] WALKER B J, ABEEL T, SHEA T, et al. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement[J]. PLoS One, 2014, 9(11): e112963. DOI: 10.1371/journal.pone.0112963.
[18] ASHBURNER M, BALL C A, BLAKE J A, et al. Gene Ontology: tool for the unification of biology[J]. Nature Genetics, 2000, 25(1): 25-29. DOI: 10.1038/75556.
[19] TATUSOV R L, FEDOROVA N D, JACKSON J D, et al. The COG database: an updated version includes eukaryotes[J]. BMCBioinformatics, 2003, 4: 41. DOI: 10.1186/1471-2105-4-41.
[20] STOTHARD P, WISHART D S. Circular genome visualization and exploration using CGView[J]. Bioinformatics, 2005, 21(4): 537-539. DOI: 10.1093/bioinformatics/bti054.
[21] LI W Z, JAROSZEWSKI L, GODZIK A. Tolerating some redundancy significantly speeds up clustering of large protein databases[J]. Bioinformatics, 2002, 18(1): 77-82. DOI: 10.1093/bioinformatics/18.1.77.
[22] CANTAREL B L, COUTINHO P M, RANCUREL C, et al. The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics[J]. Nucleic Acids Research, 2009, 37(suppl_1): D233-D238. DOI: 10.1093/nar/gkn663.
[23] BAIROCH A, APWEILER R. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000[J]. NucleicAcids Research, 2000, 28(1): 45-48. DOI: 10.1093/nar/28.1.45.
[24] BLIN K, SHAW S, AUGUSTIJN H E, et al. antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation[J]. Nucleic Acids Research, 2023, 51(W1): W46-W50. DOI: 10.1093/nar/gkad344.
[25] LIU B, ZHENG D D, ZHOU S Y, et al. VFDB 2022: a general classification scheme for bacterial virulence factors[J]. Nucleic Acids Research, 2022, 50(D1): D912-D917. DOI: 10.1093/nar/gkab1107.
[26] 徐蕾蕊, 汪琦, 刘俊, 等. VFDB注释法在食源性金黄色葡萄球菌肠毒素基因分型分析中的应用[J]. 中国食品卫生杂志, 2022, 34(6): 1218-1225. DOI: 10.13590/j.cjfh.2022.06.014.
[27] ALCOCK B P, HUYNH W, CHALIL R, et al. CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database[J]. Nucleic Acids Research, 2023, 51(D1): D690-D699. DOI: 10.1093/nar/gkac920.
[28] 张德锋, 高艳侠, 可小丽, 等. 贝莱斯芽孢杆菌LF01基因组序列分析及其代谢产物的生防作用[J]. 水产学报, 2022, 46(2): 196-206. DOI: 10.11964/jfc.20201012442.
[29] DRULA E, GARRON M L, DOGAN S, et al. The carbohydrate-active enzyme database: functions and literature[J]. NucleicAcids Research, 2022, 50(D1): D571-D577. DOI: 10.1093/nar/gkab1045.
[30] SU T, SHEN B, HU X J, et al. Research advance of Bacillus velezensis: bioinformatics, characteristics, and applications[J]. Food Science and Human Wellness, 2024, 13(4): 1756-1766. DOI: 10.26599/fshw.2022.9250148.
[31] CHAKRABORTY K, KIZHAKKEKALAM V K, JOY M, et al. Bacillibactin class of siderophore antibiotics from a marine symbiotic Bacillus as promising antibacterial agents[J]. Applied Microbiology and Biotechnology, 2022, 106(1): 329-340. DOI: 10.1007/s00253-021-11632-0.
[32] 余庆. 鸡白痢沙门氏菌毒力因子分析及对SPF鸡致病性研究[D]. 武汉: 华中农业大学, 2018.
[33] 张美超. 鳢源鰤诺卡氏菌的致病性及毒力因子分析[D]. 上海: 上海海洋大学, 2022. DOI: 10.27314/d.cnki.gsscu.2022.000746.
[34] DIETRICH R, JESSBERGER N, EHLING-SCHULZ M, et al. The food poisoning toxins of Bacillus cereus[J]. Toxins, 2021, 13(2): 98. DOI: 10.3390/toxins13020098.
[35] 庄玉凤, 吕纬苓, 官毅红. 药学干预对抗生素使用情况的影响[J]. 中国医药指南, 2024, 22(35): 46-48. DOI: 10.15912/j.issn.1671-8194.2024.35.014.
[36] 钱璟, 吴哲元, 郭晓奎, 等. 耐药微生物和抗生素耐药基因与全健康[J]. 微生物学通报, 2022, 49(10): 4412-4424. DOI: 10.13344/j.microbiol.china.220177.
[37] 程坤, 穆帅成, 刘蕊, 等. 食品和饲料用细菌抗生素耐药性基因安全评价进展[J]. 食品与发酵工业, 2025, 51(15): 357-365. DOI: 10.13995/j.cnki.11-1802/ts.041365.
[38] 严婉荣, 肖敏, 陈圆, 等. 芽孢杆菌基本特征、16S rRNA对比分析及特异性基因挖掘[J]. 基因组学与应用生物学, 2017, 36(11): 4686-4692. DOI: 10.13417/j.gab.036.004686.
[39] 喻国辉, 牛春艳, 陈远凤, 等. 利用16S rDNA结合gyrA和gyrB基因对生防芽孢杆菌R31的快速鉴定[J]. 中国生物防治, 2010, 26(2): 160-166. DOI: 10.16409/j.cnki.2095-039x.2010.02.017.
[40] TAYEB L A, LEFEVRE M, PASSET V, et al. Comparative phylogenies of Burkholderia, Ralstonia, Comamonas, Brevundimonas and related organisms derived from rpoB, gyrB and rrs gene sequences[J]. Research in Microbiology, 2008, 159(3): 169-177. DOI: 10.1016/j.resmic.2007.12.005.
[41] HAN X S, SHEN D X, XIONG Q,et al. The plant-beneficial rhizobacterium Bacillus velezensis FZB42 controls the soybean pathogen Phytophthora sojae due to bacilysin production[J]. Applied and Environmental Microbiology, 2021, 87(23): e0160121. DOI: 10.1128/AEM.01601-21.
[42] 张文博, 李昱龙, 周蕾, 等. 植物根际益生细菌代表性菌株贝莱斯芽孢杆菌FZB42对松材线虫的抑杀性[J]. 微生物学报, 2021, 61(5): 1287-1298. DOI: 10.13343/j.cnki.wsxb.20200372.
[43] LI C, LI S Z, DANG G Q, et al. Screening and characterization of Bacillus velezensis LB-Y-1 toward selection as a potential probiotic for poultry with multi-enzyme production property[J]. Frontiers in Microbiology, 2023, 14: 1143265. DOI: 10.3389/fmicb.2023.1143265.
[44] CHEN L, QU Z H, YU W, et al. Comparative genomic and transcriptome analysis of Bacillus velezensis CL-4 fermented corn germ meal[J]. AMB Express, 2023, 13(1): 10. DOI: 10.1186/s13568-023-01510-5.
[45] JIN Q, JIANG Q Y, ZHAO L, et al. Complete genome sequence of Bacillus velezensis S3-1, a potential biological pesticide with plant pathogen inhibiting and plant promoting capabilities[J]. Journal of Biotechnology, 2017, 259: 199-203. DOI: 10.1016/j.jbiotec.2017.07.011.
[46] ZHU F, ZHANG H, WU H. Glycosyltransferase-mediated sweet modification in oral streptococci[J]. Journal of Dental Research, 2015, 94(5): 659-665. DOI: 10.1177/0022034515574865.
[47] FAZLE RABBEE M, BAEK K H. Antimicrobial activities of lipopeptides and polyketides of Bacillus velezensis for agricultural applications[J]. Molecules, 2020, 25(21): 4973. DOI: 10.3390/molecules25214973.
[48] REPKA L M, CHEKAN J R, NAIR S K, et al. Mechanistic understanding of lanthipeptide biosynthetic enzymes[J]. Chemical Reviews, 2017, 117(8): 5457-5520. DOI: 10.1021/acs.chemrev.6b00591.
[49] 王春玲, 黄钰婷, 刘星, 等. 一株贝莱斯芽孢杆菌鉴定、全基因组学分析及其抗病促生特性[J]. 微生物学报, 2025, 65(2): 745-757. DOI: 10.13343/j.cnki.wsxb.20240546.
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