Comparative fecal metagenomics unveils unique functional capacity of the swine gut

被引:319
作者
Lamendella, Regina [2 ,4 ]
Domingo, Jorge W. Santo [1 ]
Ghosh, Shreya [2 ]
Martinson, John [3 ]
Oerther, Daniel B. [2 ,5 ]
机构
[1] US EPA, Natl Risk Management Res Lab, Cincinnati, OH 45268 USA
[2] Univ Cincinnati, Dept Civil & Environm Engn, Cincinnati, OH 45220 USA
[3] US EPA, Natl Exposure Res Lab, Cincinnati, OH 45268 USA
[4] Univ Calif Berkeley, Lawrence Berkeley Lab, Div Earth Sci, Berkeley, CA 94720 USA
[5] Missouri Univ Sci & Technol, Dept Civil & Environm Engn, Rolla, MO 65409 USA
基金
美国国家科学基金会; 美国国家环境保护局;
关键词
GASTROINTESTINAL-TRACT; MICROBIAL DIVERSITY; GENE; ANNOTATION; EVOLUTION; RESOURCE; TRACKING;
D O I
10.1186/1471-2180-11-103
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background: Uncovering the taxonomic composition and functional capacity within the swine gut microbial consortia is of great importance to animal physiology and health as well as to food and water safety due to the presence of human pathogens in pig feces. Nonetheless, limited information on the functional diversity of the swine gut microbiome is available. Results: Analysis of 637, 722 pyrosequencing reads (130 megabases) generated from Yorkshire pig fecal DNA extracts was performed to help better understand the microbial diversity and largely unknown functional capacity of the swine gut microbiome. Swine fecal metagenomic sequences were annotated using both MG-RAST and JGI IMG/M-ER pipelines. Taxonomic analysis of metagenomic reads indicated that swine fecal microbiomes were dominated by Firmicutes and Bacteroidetes phyla. At a finer phylogenetic resolution, Prevotella spp. dominated the swine fecal metagenome, while some genes associated with Treponema and Anareovibrio species were found to be exclusively within the pig fecal metagenomic sequences analyzed. Functional analysis revealed that carbohydrate metabolism was the most abundant SEED subsystem, representing 13% of the swine metagenome. Genes associated with stress, virulence, cell wall and cell capsule were also abundant. Virulence factors associated with antibiotic resistance genes with highest sequence homology to genes in Bacteroidetes, Clostridia, and Methanosarcina were numerous within the gene families unique to the swine fecal metagenomes. Other abundant proteins unique to the distal swine gut shared high sequence homology to putative carbohydrate membrane transporters. Conclusions: The results from this metagenomic survey demonstrated the presence of genes associated with resistance to antibiotics and carbohydrate metabolism suggesting that the swine gut microbiome may be shaped by husbandry practices.
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页数:17
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共 42 条
[1]   BASIC LOCAL ALIGNMENT SEARCH TOOL [J].
ALTSCHUL, SF ;
GISH, W ;
MILLER, W ;
MYERS, EW ;
LIPMAN, DJ .
JOURNAL OF MOLECULAR BIOLOGY, 1990, 215 (03) :403-410
[2]   The role of peptidoglycan in pathogenesis [J].
Boneca, IG .
CURRENT OPINION IN MICROBIOLOGY, 2005, 8 (01) :46-53
[3]   Origins and evolution of isoprenoid lipid biosynthesis in archaea [J].
Boucher, Y ;
Kamekura, M ;
Doolittle, WF .
MOLECULAR MICROBIOLOGY, 2004, 52 (02) :515-527
[4]   Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases [J].
Brulc, Jennifer M. ;
Antonopoulos, Dionysios A. ;
Miller, Margret E. Berg ;
Wilson, Melissa K. ;
Yannarell, Anthony C. ;
Dinsdale, Elizabeth A. ;
Edwards, Robert E. ;
Frank, Edward D. ;
Emerson, Joanne B. ;
Wacklin, Pirjo ;
Coutinho, Pedro M. ;
Henrissat, Bernard ;
Nelson, Karen E. ;
White, Bryan A. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (06) :1948-1953
[5]   Application of 16S rRNA gene-targetted fluorescence in situ hybridization and restriction fragment length polymorphism to study porcine microbiota along the gastrointestinal tract in response to different sources of dietary fibre [J].
Castillo, Marisol ;
Skene, Gail ;
Roca, Merce ;
Anguita, Montserrat ;
Badiola, Ignasi ;
Duncan, Sylvia H. ;
Flint, Harry J. ;
Martin-Orue, Susana M. .
FEMS MICROBIOLOGY ECOLOGY, 2007, 59 (01) :138-146
[6]   The ribosomal database project (RDP-II): introducing myRDP space and quality controlled public data [J].
Cole, J. R. ;
Chai, B. ;
Farris, R. J. ;
Wang, Q. ;
Kulam-Syed-Mohideen, A. S. ;
McGarrell, D. M. ;
Bandela, A. M. ;
Cardenas, E. ;
Garrity, G. M. ;
Tiedje, J. M. .
NUCLEIC ACIDS RESEARCH, 2007, 35 :D169-D172
[7]   Annotation of metagenome short reads using proxygenes [J].
Dalevi, Daniel ;
Ivanova, Natalia N. ;
Mavromatis, Konstantinos ;
Hooper, Sean D. ;
Szeto, Ernest ;
Hugenholtz, Philip ;
Kyrpides, Nikos C. ;
Markowitz, Victor M. .
BIOINFORMATICS, 2008, 24 (16) :I7-I13
[8]   Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB [J].
DeSantis, T. Z. ;
Hugenholtz, P. ;
Larsen, N. ;
Rojas, M. ;
Brodie, E. L. ;
Keller, K. ;
Huber, T. ;
Dalevi, D. ;
Hu, P. ;
Andersen, G. L. .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2006, 72 (07) :5069-5072
[9]   Functional metagenomic profiling of nine biomes [J].
Dinsdale, Elizabeth A. ;
Edwards, Robert A. ;
Hall, Dana ;
Angly, Florent ;
Breitbart, Mya ;
Brulc, Jennifer M. ;
Furlan, Mike ;
Desnues, Christelle ;
Haynes, Matthew ;
Li, Linlin ;
McDaniel, Lauren ;
Moran, Mary Ann ;
Nelson, Karen E. ;
Nilsson, Christina ;
Olson, Robert ;
Paul, John ;
Brito, Beltran Rodriguez ;
Ruan, Yijun ;
Swan, Brandon K. ;
Stevens, Rick ;
Valentine, David L. ;
Thurber, Rebecca Vega ;
Wegley, Linda ;
White, Bryan A. ;
Rohwer, Forest .
NATURE, 2008, 452 (7187) :629-U8
[10]  
Fangman TJ, 2001, J SWINE HEALTH PROD, V9, P71