A Bacterial Genome and Culture Collection of Gut Microbial in Weanling Piglet

被引:9
作者
Dong, Bo [1 ]
Lin, Xiaoqian [2 ,3 ,4 ,5 ]
Jing, Xiaohuan [3 ]
Hu, Tongyuan [4 ]
Zhou, Jianwei [2 ,6 ]
Chen, Jianwei [2 ,6 ,7 ]
Xiao, Liang [2 ,4 ,7 ,8 ]
Wang, Bo [3 ,9 ]
Chen, Zhuang [1 ,10 ]
Liu, Jing [1 ,10 ]
Hu, Yiyin [3 ]
Liu, Guilin [6 ]
Liu, Shanshan [2 ,6 ]
Liu, Junnian [2 ,6 ]
Wei, Wenkang [1 ,10 ]
Zou, Yuanqiang [2 ,4 ,7 ,8 ]
机构
[1] Guangdong Acad Agr Sci, Agrobiol Gene Res Ctr, Guangdong Prov Key Lab Crop Germplasm Resources P, Guangzhou, Peoples R China
[2] BGI Shenzhen, Qingdao Europe Adv Inst Life Sci, Qingdao, Peoples R China
[3] BGI Shenzhen, China Natl Genebank, Shenzhen, Peoples R China
[4] BGI Shenzhen, Shenzhen, Peoples R China
[5] South China Univ Technol, Sch Biosci & Biotechnol, Guangzhou, Peoples R China
[6] BGI Shenzhen, BGI Qingdao, Qingdao, Peoples R China
[7] Univ Copenhagen, Dept Biol, Lab Genom & Mol Biomed, Univ Pk 13, Copenhagen, Denmark
[8] BGI Shenzhen, Shenzhen Engn Lab Detect & Intervent Human Intest, Shenzhen, Peoples R China
[9] BGI Shenzhen, Guangdong Prov Key Lab Genome Read & Write, Shenzhen, Peoples R China
[10] Guangdong Lab Lingnan Modern Agr, Guangzhou, Peoples R China
来源
MICROBIOLOGY SPECTRUM | 2022年 / 10卷 / 01期
基金
中国国家自然科学基金;
关键词
genome collection; metagenome-assembled genomes; weanling piglet; functional repertoires; limosilactobacillus reuteri; TOOL; PREDICTION; RESISTANCE;
D O I
10.1128/spectrum.02417-21
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The microbiota hosted in the pig gastrointestinal tract are important to health of this biomedical model. However, the individual species and functional repertoires that make up the pig gut microbiome remain largely undefined. Here we comprehensively investigated the genomes and functions of the piglet gut microbiome using culture-based and metagenomics approaches. A collection included 266 cultured genomes and 482 metagenome-assembled genomes (MAGs) that were clustered to 428 species across 10 phyla was established. Among these clustered species, 333 genomes represent potential new species. Less matches between cultured genomes and MAGs revealed a substantial bias for the acquisition of reference genomes by the two strategies. Glycoside hydrolases was the dominant category of carbohydrate-active enzymes. Four-hundred forty-five secondary metabolite biosynthetic genes were predicted from 292 genomes with bacteriocin being the most. Pan genome analysis of Limosilactobacillus reuteri uncover the biosynthesis of reuterin was strain-specific and the production was experimentally determined. This study provides a comprehensive view of the microbiome composition and the function landscape of the gut of weanling piglets and a valuable bacterial resource for further experimentations. IMPORTANCE The microorganism communities resided in mammalian gastrointestinal tract impacted the health and disease of the host. Our study complements metagenomic analysis with culture-based approach to establish a bacteria and genome collection and comprehensively investigate the microbiome composition and function of the gut of weanling piglets. We provide a valuable resource for further study of gut microbiota of weanling piglet and development of probiotics for prevention of disease.
引用
收藏
页数:13
相关论文
共 51 条
[1]   CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database [J].
Alcock, Brian P. ;
Raphenya, Amogelang R. ;
Lau, Tammy T. Y. ;
Tsang, Kara K. ;
Bouchard, Megane ;
Edalatmand, Arman ;
Huynh, William ;
Nguyen, Anna-Lisa, V ;
Cheng, Annie A. ;
Liu, Sihan ;
Min, Sally Y. ;
Miroshnichenko, Anatoly ;
Tran, Hiu-Ki ;
Werfalli, Rafik E. ;
Nasir, Jalees A. ;
Oloni, Martins ;
Speicher, David J. ;
Florescu, Alexandra ;
Singh, Bhavya ;
Faltyn, Mateusz ;
Hernandez-Koutoucheva, Anastasia ;
Sharma, Arjun N. ;
Bordeleau, Emily ;
Pawlowski, Andrew C. ;
Zubyk, Haley L. ;
Dooley, Damion ;
Griffiths, Emma ;
Maguire, Finlay ;
Winsor, Geoff L. ;
Beiko, Robert G. ;
Brinkman, Fiona S. L. ;
Hsiao, William W. L. ;
Domselaar, Gary, V ;
McArthur, Andrew G. .
NUCLEIC ACIDS RESEARCH, 2020, 48 (D1) :D517-D525
[2]  
[Anonymous], 2013, Current Protocols in Bioinformatics, DOI [DOI 10.1002/0471250953.BI1111S44, 10.1002/0471250953.bi1111s44]
[3]  
Besemer J, 2001, Nucleic Acids Res, V29, P2607
[4]   antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification [J].
Blin, Kai ;
Wolf, Thomas ;
Chevrette, Marc G. ;
Lu, Xiaowen ;
Schwalen, Christopher J. ;
Kautsar, Satria A. ;
Duran, Hernando G. Suarez ;
Santos, Emmanuel L. C. de los ;
Kim, Hyun Uk ;
Nave, Mariana ;
Dickschat, Jeroen S. ;
Mitchell, Douglas A. ;
Shelest, Ekaterina ;
Breitling, Rainer ;
Takano, Eriko ;
Lee, Sang Yup ;
Weber, Tilmann ;
Medema, Marnix H. .
NUCLEIC ACIDS RESEARCH, 2017, 45 (W1) :W36-W41
[5]   trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses [J].
Capella-Gutierrez, Salvador ;
Silla-Martinez, Jose M. ;
Gabaldon, Toni .
BIOINFORMATICS, 2009, 25 (15) :1972-1973
[6]   BPGA- an ultra-fast pan-genome analysis pipeline [J].
Chaudhari, Narendrakumar M. ;
Gupta, Vinod Kumar ;
Dutta, Chitra .
SCIENTIFIC REPORTS, 2016, 6
[7]   GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database [J].
Chaumeil, Pierre-Alain ;
Mussig, Aaron J. ;
Hugenholtz, Philip ;
Parks, Donovan H. .
BIOINFORMATICS, 2020, 36 (06) :1925-1927
[8]   Expanded catalog of microbial genes and metagenome-assembled genomes from the pig gut microbiome [J].
Chen, Congying ;
Zhou, Yunyan ;
Fu, Hao ;
Xiong, Xinwei ;
Fang, Shaoming ;
Jiang, Hui ;
Wu, Jinyuan ;
Yang, Hui ;
Gao, Jun ;
Huang, Lusheng .
NATURE COMMUNICATIONS, 2021, 12 (01)
[9]  
Chen Fengzhen, 2020, Yichuan, V42, P799, DOI 10.16288/j.yczz.20-080
[10]   VFDB 2016: hierarchical and refined dataset for big data analysis-10 years on [J].
Chen, Lihong ;
Zheng, Dandan ;
Liu, Bo ;
Yang, Jian ;
Jin, Qi .
NUCLEIC ACIDS RESEARCH, 2016, 44 (D1) :D694-D697