title: Metaproteomics analysis reveals the adaptation process for the chicken gut microbiota.
abstract: The animal gastrointestinal tract houses a large microbial community, the gut microbiota, that confers many benefits to its host, such as protection from pathogens and provision of essential metabolites. Metagenomic approaches have defined the chicken fecal microbiota in other studies, but here, we wished to assess the correlation between the metagenome and the bacterial proteome in order to better understand the healthy chicken gut microbiota. Here, we performed high-throughput sequencing of 16S rRNA gene amplicons and metaproteomics analysis of fecal samples to determine microbial gut composition and protein expression. 16 rRNA gene sequencing analysis identified Clostridiales, Bacteroidaceae, and Lactobacillaceae species as the most abundant species in the gut. For metaproteomics analysis, peptides were generated by using the Fasp method and subsequently fractionated by strong anion exchanges. Metaproteomics analysis identified 3,673 proteins. Among the most frequently identified proteins, 380 proteins belonged to Lactobacillus spp., 155 belonged to Clostridium spp., and 66 belonged to Streptococcus spp. The most frequently identified proteins were heat shock chaperones, including 349 GroEL proteins, from many bacterial species, whereas the most abundant enzymes were pyruvate kinases, as judged by the number of peptides identified per protein (spectral counting). Gene ontology and KEGG pathway analyses revealed the functions and locations of the identified proteins. The findings of both metaproteomics and 16S rRNA sequencing analyses are discussed.
authors.affiliation: Veterinary Laboratories Agency, Addlestone, Surrey, United Kingdom.
authors.forename: Yue
authors.initials: Y
authors.lastname: Tang
authors.forename: Anthony
authors.initials: A
authors.lastname: Underwood
authors.forename: Adriana
authors.initials: A
authors.lastname: Gielbert
authors.forename: Martin J
authors.initials: MJ
authors.lastname: Woodward
authors.forename: Liljana
authors.initials: L
authors.lastname: Petrovska
mesh_terms: D000222:Adaptation, Physiological; D000818:Animals; D001419:Bacteria / Q000235:genetics; D001426:Bacterial Proteins / Q000235:genetics / Q000378:metabolism*; D018834:Chaperonin 60 / Q000378:metabolism; D002645:Chickens / Q000382:microbiology*; D005243:Feces / Q000382:microbiology; D041981:Gastrointestinal Tract / Q000382:microbiology*; D063990:Gene Ontology; D007778:Lactobacillus / Q000235:genetics; D064307:Microbiota / Q000235:genetics; D040901:Proteomics / Q000379:methods*; D012336:RNA, Ribosomal, 16S
chemical_list: D001426:Bacterial Proteins; D018834:Chaperonin 60; D012336:RNA, Ribosomal, 16S