绵羊肺炎支原体GH3-3株全基因组测序及生物信息学分析

doi:10.13560/j.cnki.biotech.bull.1985.2024-0076

生物技术通报 ›› 2024, Vol. 40 ›› Issue (7): 323-334.doi: 10.13560/j.cnki.biotech.bull.1985.2024-0076

绵羊肺炎支原体GH3-3株全基因组测序及生物信息学分析

田彤彤¹^,²(), 葛家振¹, 高鹏程¹, 李学瑞¹, 宋国栋¹, 郑福英¹(), 储岳峰¹^,²()

1.中国农业科学院兰州兽医研究所兰州大学动物医学与生物安全学院动物疫病防控全国重点实验室，兰州 730000
2.新疆农业大学动物医学学院，乌鲁木齐 830052

收稿日期:2024-01-17 出版日期:2024-07-26 发布日期:2024-07-30
通讯作者: 郑福英，女，博士，研究员，研究方向：草食动物细菌病防控技术；E-mail: zhengfuying@caas.cn；
储岳峰，男，博士，研究员，研究方向：草食动物细菌病防控技术及其基础研究；E-mail: chuyuefeng@caas.cn
作者简介:田彤彤，女，硕士，研究方向：预防兽医学；E-mail: t1123859519@163.com
基金资助:
国家重点研发计划(2022YFD1800704);中国农业科学院兰州兽医研究所“元亨人才”计划项目（所级青年英才培育项目）(NKLS2020-119);甘肃省科技重大专项课题(23ZDNA007)

Whole Genome Sequencing and Bioinformatics Analysis of Mycoplasma ovipneumoniae GH3-3 Strain

TIAN Tong-tong¹^,²(), GE Jia-zhen¹, GAO Peng-cheng¹, LI Xue-rui¹, SONG Guo-dong¹, ZHENG Fu-ying¹(), CHU Yue-feng¹^,²()

1. State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000
2. College of Veterinary Medicine，Xinjiang Agricultural University，Urumqi 830052

Received:2024-01-17 Published:2024-07-26 Online:2024-07-30

摘要/Abstract

摘要：

【目的】 全面了解绵羊肺炎支原体GH3-3株的基因序列，研究其潜在的致病机制及其复制、转录、翻译过程的调控机制。【方法】 采用体外培养，利用细菌基因组DNA提取试剂盒提取绵羊肺炎支原体GH3-3株基因组DNA，进行全基因组测序。【结果】 绵羊肺炎支原体GH3-3株基因组大小为1 060 772 bp，GC含量为29.66％，基因组组分分析后发现，GH3-3株的基因组含有730个编码基因，总长度为914 379 bp，平均长度为1 252.57 bp，占基因组全长的86.2％。串联重复序列共149个，总长为20 926 bp，占基因组全长的1.97％。微卫星DNA序列102个，tRNA 30个，rRNA 3个。在NR、SwissProt、GOG、KEGG、GO、CARD、CAZy、PHI、TCDB、RMS数据库中，分别有719、459、473、394、449、33、5、180、113、59个基因被注释；在VFDB数据库中，共注释到了76个毒力因子相关的基因。将基因组序列提交至NCBI网站，获得登录号为：PRJNA1051969。【结论】 获得了绵羊肺炎支原体GH3-3株完整的基因组信息，预测和注释了其基因的功能，明确了GH3-3株以及与国内外其他绵羊肺炎支原体菌株之间的遗传进化关系。

关键词: 绵羊肺炎支原体, GH3-3株, 全基因组测序, 毒力因子, 耐药基因

Abstract:

【Objective】 This study is aimed to decode the genomic sequence of Mycoplasma ovipneumoniae strain GH3-3, to investigate its pathogenic potential and to elucidate the regulatory mechanisms of its replication, transcription, and translation. 【Method】 M. ovipneumoniae GH3-3 strain was cultured in vitro. When it reached the late logarithmic stage of growth, the genomic DNA of M. ovipneumoniae GH3-3 strain was extracted with bacterial genomic DNA extraction kit and sent for whole genome sequencing and commentary. 【Result】 The genome size of GH3-3 strains of M. ovipneumoniae was 1 060 772 bp, and the GC content was 29.66%. The genome component analysis showed that the genome of GH3-3 strain contained 730 coding genes, with a total length of 914 379 bp and an average length of 1 252.57 bp, accounting for 86.2% of the total genome length. There were 149 tandem repeats with a total length of 20 926 bp, accounting for 1.97% of the total length of the genome. There were 102 microsatellite DNA sequences, 30 tRNA sequences, and 3 rRNA sequences. The 719, 459, 473, 394, 449, 33, 5, 180, 113 and 59 genes were annotated in NR, SwissProt, GOG, KEGG, GO, CARD, CAZy, PHI, TCDB, and RMS databases, respectively. A total of 76 virulence factor-related genes were annotated. The genome sequence was submitted to the NCBI website with the login number: PRJNA1051969. 【Conclusion】 The complete genome information of M. ovipneumoniae GH3-3 strain was acquired, and the gene function was predicted and annotated. Furthermore, the genetic and evolutionary relationships between GH3-3 strain and other strains of M. ovipneumoniae were elucidated globally.

Key words: Mycoplasma ovipneumoniae, GH3-3 strain, whole genome sequencing（WGS）, virulence factor, drug-resistant gene

田彤彤, 葛家振, 高鹏程, 李学瑞, 宋国栋, 郑福英, 储岳峰. 绵羊肺炎支原体GH3-3株全基因组测序及生物信息学分析[J]. 生物技术通报, 2024, 40(7): 323-334.

TIAN Tong-tong, GE Jia-zhen, GAO Peng-cheng, LI Xue-rui, SONG Guo-dong, ZHENG Fu-ying, CHU Yue-feng. Whole Genome Sequencing and Bioinformatics Analysis of Mycoplasma ovipneumoniae GH3-3 Strain[J]. Biotechnology Bulletin, 2024, 40(7): 323-334.

图/表 17

图1 绵羊肺炎支原体透射电镜观察

Fig. 1 Observation of Mycoplasma ovipneumoniae by transmission electron microscope

图2 Mo GH3-3株DNA样品电泳图 M：DNA maker；1：DNA样品

Fig. 2 DNA sample of Mo GH3-3 strain by gel electrophoresis M: DNA maker; 1: DNA sample

图3 组装基因组覆盖深度分布图

Fig. 3 Coverage depth distribution of assembled genome

表1 不同MO菌株基因组信息对比

Table 1 Comparison of genomic information of different MO strains

菌株 Strain	基因组大小 Genome size/bp	编码基因数量 Gene number/个	GC含量 GC content/％
GH 3-3株	1 060 772	730	29.66
NXNK2203株	1 014 835	686	29.23
NM2010株	1 084 159	888	29.14
HHHT2017株	1 019 689	807	29.068
SC01株	1 020 601	864	28.85
WXB1株	1 084 159	888	29.14
150株	1 053 380	714	29.15
274株	1 081 404	747	28.82
Y98株	1 021 486	819	29.21

图4 Mo GH3-3株基因组圈图

Fig. 4 Genomic cycle diagram of Mo GH3-3 strain

图5 基础数据库共有和特有注释分析韦恩图

Fig. 5 Venn diagram for analysis of common and specific annotations of the underlying database

图6 Top10物种分布图 A: NR库Top10物种分布图；B: SwissProt库Top10物种分布图

Fig. 6 Distribution of top10 species A: Distribution of top10 species in NR database. B: Distribution of top10 species in SwissProt database

图7 COG注释结果分类图

Fig. 7 Classification diagram of COG annotation

图8 KEGG、GO注释结果分类统计图 A:KEGG注释结果分类统计图；B:GO注释结果分类统计图

Fig. 8 Classification statistics diagrams of KEGG and GO annotation A: Classification statistics diagram of KEGG annotation. B: Classification statistics diagram of GO annotation

图9 特定功能数据库共有和特有注释分析统计图

Fig. 9 Statistical chart for the analysis of common and specific annotations by a specific function database

表2 耐药基因注释结果

Table 2 Annotation of drug resistance genes

抗生素种类 Drug class	ARO登记号ARO accession	ARO名 ARO name
Aminoglycoside antibiotic	ARO:3005091	RanA
Fluoroquinolone antibiotic	ARO:3003949	efrB
Lincosamide antibiotic	ARO:3002882	lmrD
	ARO:3003746	optrA
	ARO:3002825	ErmY
Macrolide antibiotic	ARO:3003949	efrB
	ARO:3003746	optrA
	ARO:3002825	ErmY
	ARO:3000535	macB
Mupirocin	ARO:3000510	Staphylococcus aureus mupB conferring resistance to mupirocin
Mupirocin	ARO:3000521	Staphylococcus aureus mupA conferring resistance to mupirocin
Nitroimidazole antibiotic	ARO:3003950	msbA
Peptide antibiotic	ARO:3002987	bcrA
Peptide antibiotic	ARO:3000501	rpoB2
Tetracycline antibiotic	ARO:3004032	tetA（46）
	ARO:3000193	tetT
	ARO:3002891	otr（A）
	ARO:3003980	tetA（58）
	ARO:3000556	tet（44）
	ARO:3003980	tetA（58）
	ARO:3003746	optrA
Rifamycin antibiotic	ARO:3003949	efrB
	ARO:3002825	ErmY
	ARO:3000501	rpoB2
Oxazolidinone antibiotic	ARO:3003746	optrA
Pleuromutilin antibiotic	ARO:3003746	optrA
Streptogramin antibiotic	ARO:3003746	optrA
phenicol antibiotic	ARO:3003746	optrA

图10 CAZy注释分类统计图

Fig. 10 Classification statistics diagram of CAZy annotation

图11 PHI突变表型统计图

Fig. 11 Statistical diagram of mutation phenotype by PHI annotation

表3 毒力因子注释结果

Table 3 Annotation of virulence factors

毒力因子名称 VFDB name	相关基因 Related genes
<alpha>-Hemolysin	hlyB
Acinetobactin	bauE
Alginate regulation	mucD
Capsule	cpsB、FTT 0793、rpe
Cereulide	cesC
ClpC	ClpC
Cya	cyaB
Cytolysin	cylB
Dot/Icm	lpg2936
EF-Tu	tufA
ESX-1	eccA1
FbpABC	fbpC
FeoAB	feoB
Flagella	flhF
FupA	feoB
HitABC	hitC
HP-NAP	napA
IgA1 protease	zmpC
LOS	licA
LplA1	lplA1
MgtBC	mgtB
MsrAB	msrA/B（pilB）
P97/P102 paralog family	mhp107、mhp683、p102、p97、lppT、p216、mhp385
T4SS effectors	CBU 1566
TlyC	tlyC
TTSS	escN、yscN、pscN
Type 1 fimbriae	fimE

图12 TCDB分类统计图

Fig. 12 Classification statistics diagram of TCDB classification

图13 RMS酶类型统计图

Fig. 13 Statistical diagram of RMS enzyme types

图14 Mo GH3-3株16 S rRNA遗传进化树

Fig. 14 Genetic evolution tree of 16 S rRNA of Mo GH3-3 strains

参考文献 40

[1]	Maksimović Z, Rifatbegović M, Loria GR, et al. Mycoplasma ovipneumoniae: a most variable pathogen[J]. Pathogens, 2022, 11(12): 1477.
[2]	Li Y, Jiang Z, Xue D, et al. Mycoplasma ovipneumoniae induces sheep airway epithelial cell apoptosis through an ERK signalling-mediated mitochondria pathway[J]. BMC microbiology. 2016, 16(1):222.
[3]	Carmichael LE, St George TD, Sullivan ND, et al. Isolation, propagation, and characterization studies of an ovine Mycoplasma responsible for proliferative interstitial pneumonia[J]. Cornell Vet, 1972, 62(4): 654-679. pmid: 4672899
[4]	Balish M, Bertaccini A, Blanchard A, et al. Recommended rejection of the names Malacoplasma gen. nov., Mesomycoplasma gen. nov., Metamycoplasma gen. nov., Metamycoplasmataceae fam. nov., Mycoplasmoidaceae fam. nov., Mycoplasmoidales ord. nov., Mycoplasmoides gen. nov., Mycoplasmopsis gen. nov.[Gupta, Sawnani, Adeolu, Alnajar and Oren 2018]and all proposed species comb. nov. placed therein[J]. Int J Syst Evol Microbiol, 2019, 69(11): 3650-3653.
[5]	Gupta RS, Oren A. Necessity and rationale for the proposed name changes in the classification of Mollicutes species. Reply to: ‘Recommended rejection of the names Malacoplasma gen. nov., Mesomycoplasma gen. nov., Metamycoplasma gen. nov., Metamycoplasmataceae fam. nov., Mycoplasmoidaceae fam. nov., Mycoplasmoidales ord. nov., Mycoplasmoides gen. nov., Mycoplasmopsis gen. nov.[Gupta, Sawnani, Adeolu, Alnajar and Oren 2018]and all proposed species comb. nov. placed therein’, by M. Balish et al.(Int J Syst Evol Microbiol, 2019;69: 3650-3653)[J]. Int J Syst Evol Microbiol, 2020, 70(2): 1431-1438.
[6]	Gupta RS, Sawnani S, Adeolu M, et al. Phylogenetic framework for the phylum Tenericutes based on genome sequence data: proposal for the creation of a new order Mycoplasmoidales ord. nov., containing two new families Mycoplasmoidaceae fam. nov. and Metamycoplasmataceae fam. nov. harbouring Eperythrozoon, Ureaplasma and five novel Genera[J]. Antonie Van Leeuwenhoek, 2018, 111(9): 1583-1630.
[7]	乌志勇. 绵羊肺炎支原体SY株分离鉴定及HSP70蛋白基因的克隆与分析[D]. 呼和浩特: 内蒙古农业大学, 2023.
	Wu ZY. Isolation and identification of SY strain of Mycoplasma ovi-pneumoniae and gene cloning and analysis of HSP70 protein[D]. Hohhot: Inner Mongolia Agricultural University, 2023.
[8]	谭星. 绵羊肺炎支原体诱导巨噬细胞分泌的细胞外囊泡Lgals3bp蛋白促炎作用研究[D]. 银川: 宁夏大学, 2022.
	Tan X. Proinflammatory effect of Lgals3bp protein in extracellular vesicles secreted by macrophages induced by Mycoplasma ovipneumoniae[D]. Yinchuan: Ningxia University, 2022.
[9]	Gautier-Bouchardon AV. Antimicrobial resistance in Mycoplasma spp[J]. Microbiol Spectr, 2018, 6(4).
[10]	Ma CX, Li M, Peng H, et al. Mesomycoplasma ovipneumoniae from goats with respiratory infection: pathogenic characteristics, population structure, and genomic features[J]. BMC Microbiol, 2023, 23(1): 220.
[11]	Kolmogorov M, Bickhart DM, Behsaz B, et al. metaFlye: scalable long-read metagenome assembly using repeat graphs[J]. Nat Methods, 2020, 17(11): 1103-1110. doi: 10.1038/s41592-020-00971-x pmid: 33020656
[12]	Walker BJ, 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.
[13]	O’Leary NA, Wright MW, Brister JR, et al. Reference sequence(RefSeq)database at NCBI: current status, taxonomic expansion, and functional annotation[J]. Nucleic Acids Res, 2016, 44(D1): D733-D745.
[14]	Boutet E, Lieberherr D, Tognolli M, et al. UniProtKB/swiss-prot, the manually annotated section of the UniProt KnowledgeBase: how to use the entry view[J]. Methods Mol Biol, 2016, 1374: 23-54. doi: 10.1007/978-1-4939-3167-5_2 pmid: 26519399
[15]	Galperin MY, Wolf YI, Makarova KS, et al. COG database update: focus on microbial diversity, model organisms, and widespread pathogens[J]. Nucleic Acids Res, 2021, 49(D1): D274-D281.
[16]	Kanehisa M, Furumichi M, Sato Y, et al. KEGG for taxonomy-based analysis of pathways and genomes[J]. Nucleic Acids Res, 2023, 51(D1): D587-D592.
[17]	Consortium TGO. The Gene Ontology Resource: 20 years and still GOing strong[J]. Nucleic Acids Res, 2019, 47(D1): D330-D338.
[18]	Alcock BP, 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 Res, 2023, 51(D1): D690-D699.
[19]	Lombard V, Golaconda Ramulu H, Drula E, et al. The carbohydrate-active enzymes database(CAZy)in 2013[J]. Nucleic Acids Res, 2014, 42(Database issue): D490-D495.
[20]	Urban M, Cuzick A, Seager J, et al. PHI-base in 2022: a multi-species phenotype database for Pathogen-Host Interactions[J]. Nucleic Acids Res, 2022, 50(D1): D837-D847.
[21]	Chen LH, Zheng DD, Liu B, et al. VFDB 2016: hierarchical and refined dataset for big data analysis—10 years on[J]. Nucleic Acids Res, 2016, 44(D1): D694-D697.
[22]	Saier MH, Reddy VS, Moreno-Hagelsieb G, et al. The Transporter Classification Database(TCDB): 2021 update[J]. Nucleic Acids Res, 2021, 49(D1): D461-D467.
[23]	Roberts RJ, Vincze T, Posfai J, et al. REBASE: a database for DNA restriction and modification: enzymes, genes and genomes[J]. Nucleic Acids Res, 2023, 51(D1): D629-D630.
[24]	Nielsen H. Predicting secretory proteins with SignalP[J]. Methods Mol Biol, 2017, 1611: 59-73. doi: 10.1007/978-1-4939-7015-5_6 pmid: 28451972
[25]	Wang YJ, Huang H, Sun MA, et al. T3DB: an integrated database for bacterial type III secretion system[J]. BMC Bioinformatics, 2012, 13: 66. doi: 10.1186/1471-2105-13-66 pmid: 22545727
[26]	Krogh A, Larsson B, von Heijne G, et al. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes[J]. J Mol Biol, 2001, 305(3): 567-580. doi: 10.1006/jmbi.2000.4315 pmid: 11152613
[27]	Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets[J]. Mol Biol Evol, 2016, 33(7): 1870-1874. doi: 10.1093/molbev/msw054 pmid: 27004904
[28]	Xie JM, Chen YR, Cai GJ, et al. Tree Visualization By One Table(tvBOT): a web application for visualizing, modifying and annotating phylogenetic trees[J]. Nucleic Acids Res, 2023, 51(W1): W587-W592.
[29]	Wang JD, Liu HY, Raheem A, et al. Exploring Mycoplasma ovipneumoniae NXNK2203 infection in sheep: insights from histopathology and whole genome sequencing[J]. BMC Vet Res, 2024, 20(1): 20.
[30]	Wang XH, Huang HB, Cheng C, et al. Complete genome sequence of Mycoplasma ovipneumoniae strain NM2010, which was isolated from a sheep in China[J]. J Integr Agric, 2014, 13(11): 2562-2563.
[31]	韩瑞鑫. 绵羊肺炎支原体检测方法的建立及全基因组生物信息学分析[D]. 呼和浩特: 内蒙古农业大学, 2018.
	Han RX. The establishment of detection method for Mycoplasma ovipneumoniae and analysis of it's genome bioinformatics[D]. Hohhot: Inner Mongolia Agricultural University, 2018.
[32]	Yang FL, Tang C, Wang Y, et al. Genome sequence of Mycoplasma ovipneumoniae strain SC01[J]. J Bacteriol, 2011, 193(18): 5018.
[33]	徐春光. 丝状支原体PG3株和绵羊肺炎支原体内蒙分离株基因组测序及可变表面脂蛋白基因克隆表达[D]. 呼和浩特: 内蒙古农业大学, 2013.
	Xu CG. Genome sequencing of Mycoplasma mycoides Str.PG3and Mycoplasma ovipneumoniae from inner Mongolia and cloning and expression of variable surface lipoprotein genes[D]. Hohhot: Inner Mongolia Agricultural University, 2013.
[34]	Hao HF, Maksimović Z, Ma LN, et al. Complete genome sequences of Mycoplasma ovipneumoniae strains 150 and 274, isolated from different regions in Bosnia and Herzegovina[J]. Microbiol Resour Announc, 2023, 12(3): e0001123.
[35]	Li M, Wang J, Hao XJ, et al. Complete Genome Sequence of Mycoplasma ovipneumoniae Strain Y98[C]. 哈尔滨: 第五届全国生物信息学与系统生物学学术大会论文集, 2012, 2:138-139.
	Li M, Wang J, Hao XJ, et al. Complete Genome Sequence of Mycoplasma ovipneumoniae Strain Y98[C]. Harbin: Proceedings of the 5th National Conference on Bioinformatics and Systems Biology, 2012, 2:138-139.
[36]	Branton D, Deamer DW, Marziali A, et al. The potential and challenges of nanopore sequencing[J]. Nat Biotechnol, 2008, 26(10): 1146-1153. doi: 10.1038/nbt.1495 pmid: 18846088
[37]	张金花. 绵羊肺炎支原体分离鉴定、病理组织学分析及靶器官主要细胞因子变化研究[D]. 银川: 宁夏大学, 2022.
	Zhang JH. Isolation, identification and histopathological analysis of Mycoplasma ovipneumoniae and study on the change of main cytokines in target organs[D]. Yinchuan: Ningxia University, 2022.
[38]	Liu W, Xiao SB, Li M, et al. Comparative genomic analyses of Mycoplasma hyopneumoniae pathogenic 168 strain and its high-passaged attenuated strain[J]. BMC Genomics, 2013, 14: 80.
[39]	杨发龙, 汤承. 绵羊肺炎支原体毒力相关基因预测与分析[J]. 黑龙江畜牧兽医, 2013(19): 18-20.
	Yang FL, Tang C. Prediction and analysis of the virulence- related genes in sheep Mycoplasma pneumoniae[J]. Heilongjiang Anim Sci Vet Med, 2013(19): 18-20.
[40]	Mohamed AIS. 牛支原体HB0801株具有免疫原性分泌蛋白的鉴定[D]. 武汉: 华中农业大学, 2019.
	Mohamed AIS. Identification of immunogenic secretory proteins of mycoplasma bovis HB0801[D]. Wuhan: Huazhong Agricultural University, 2019.

绵羊肺炎支原体GH3-3株全基因组测序及生物信息学分析

Whole Genome Sequencing and Bioinformatics Analysis of Mycoplasma ovipneumoniae GH3-3 Strain

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 17

参考文献 40

相关文章 15

编辑推荐

Metrics

本文评价

[1]	周江鸿, 夏菲, 仲丽, 仇兰芬, 李广, 刘倩, 张国锋, 邵金丽, 李娜, 车少臣. 黄栌枯萎病拮抗细菌CCBC3-3-1的全基因组测序及比较基因组分析[J]. 生物技术通报, 2024, 40(7): 235-246.
[2]	孙亚楠, 王春雪, 王欣, 杜秉海, 刘凯, 汪城墙. 萎缩芽孢杆菌CNY01的生防特性及其对玉米的抗盐促生作用[J]. 生物技术通报, 2024, 40(5): 248-260.
[3]	王腾辉, 葛雯冬, 罗雅方, 范震宇, 王玉书. 基于极端混合池（BSA）全基因组重测序的羽衣甘蓝白色叶基因定位[J]. 生物技术通报, 2023, 39(9): 176-182.
[4]	方澜, 黎妍妍, 江健伟, 成胜, 孙正祥, 周燚. 盘龙参内生真菌胞内细菌7-2H的分离鉴定和促生特性研究[J]. 生物技术通报, 2023, 39(8): 272-282.
[5]	郭少华, 毛会丽, 刘征权, 付美媛, 赵平原, 马文博, 李旭东, 关建义. 一株鱼源致病性嗜水气单胞菌XDMG的全基因组测序及比较基因组分析[J]. 生物技术通报, 2023, 39(8): 291-306.
[6]	张志霞, 李天培, 曾虹, 朱稀贤, 杨天雄, 马斯楠, 黄磊. 冰冷杆菌PG-2的基因组测序及生物信息学分析[J]. 生物技术通报, 2023, 39(3): 290-300.
[7]	和梦颖, 刘文彬, 林震鸣, 黎尔彤, 汪洁, 金小宝. 一株抗革兰阳性菌的戈登氏菌WA4-43全基因组测序与分析[J]. 生物技术通报, 2023, 39(2): 232-242.
[8]	吴莉丹, 冉雪琴, 牛熙, 黄世会, 李升, 王嘉福. 猪源致病性大肠杆菌基因组比较与毒力因子分析[J]. 生物技术通报, 2023, 39(12): 287-299.
[9]	张傲洁, 李青云, 宋文红, 颜少慧, 唐爱星, 刘幽燕. 基于苯酚降解的粪产碱杆菌Alcaligenes faecalis JF101的全基因组分析[J]. 生物技术通报, 2023, 39(10): 292-303.
[10]	王帅, 吕鸿睿, 张昊, 吴占文, 肖翠红, 孙冬梅. 解磷菌PSB-R全基因组测序鉴定及其解磷特性分析[J]. 生物技术通报, 2023, 39(1): 274-283.
[11]	鲁兆祥, 王夕冉, 连新磊, 廖晓萍, 刘雅红, 孙坚. 基于功能宏基因组学挖掘抗生素耐药基因研究进展[J]. 生物技术通报, 2022, 38(9): 17-27.
[12]	刘理慧, 储锦华, 隋雨欣, 陈杨, 程古月. 沙门氏菌中主要毒力因子的研究进展[J]. 生物技术通报, 2022, 38(9): 72-83.
[13]	张泽颖, 范清锋, 邓云峰, 韦廷舟, 周正富, 周建, 王劲, 江世杰. 一株高产脂肪酶菌株WCO-9全基因组测序及比较基因组分析[J]. 生物技术通报, 2022, 38(10): 216-225.
[14]	薛清, 杜虹锐, 薛会英, 王译浩, 王暄, 李红梅. 苜蓿滑刃线虫线粒体基因组及其系统发育研究[J]. 生物技术通报, 2021, 37(7): 98-106.
[15]	陈体强, 徐晓兰, 石林春, 钟礼义. 紫芝栽培品种‘武芝2号’（‘紫芝S2’）全基因组测序及分析[J]. 生物技术通报, 2021, 37(11): 42-56.