In Vivo Expression of Chicken Gut Anaerobes Identifies Carbohydrate- or Amino Acid-Utilising, Motile or Type VI Secretion System-Expressing Bacteria.
Jana RajovaMichal ZemanZuzana SeidlerovaLenka VlasatikovaJitka MatiasovicovaAlena SebkovaMarcela FaldynovaHana PrikrylovaDaniela KarasovaMagdalena CrhanovaPavel KulichVladimir BabakJiri VolfIvan RychlikPublished in: International journal of molecular sciences (2024)
Complex gut microbiota increases chickens' resistance to enteric pathogens. However, the principles of this phenomenon are not understood in detail. One of the possibilities for how to decipher the role of gut microbiota in chickens' resistance to enteric pathogens is to systematically characterise the gene expression of individual gut microbiota members colonising the chicken caecum. To reach this aim, newly hatched chicks were inoculated with bacterial species whose whole genomic sequence was known. Total protein purified from the chicken caecum was analysed by mass spectrometry, and the obtained spectra were searched against strain-specific protein databases generated from known genomic sequences. Campylobacter jejuni , Phascolarctobacterium sp. and Sutterella massiliensis did not utilise carbohydrates when colonising the chicken caecum. On the other hand, Bacteroides , Mediterranea , Marseilla , Megamonas , Megasphaera , Bifidobacterium , Blautia , Escherichia coli and Succinatimonas fermented carbohydrates. C. jejuni was the only motile bacterium, and Bacteroides mediterraneensis expressed the type VI secretion system. Classification of in vivo expression is key for understanding the role of individual species in complex microbial populations colonising the intestinal tract. Knowledge of the expression of motility, the type VI secretion system, and preference for carbohydrate or amino acid fermentation is important for the selection of bacteria for defined competitive exclusion products.
Keyphrases
- amino acid
- poor prognosis
- gene expression
- escherichia coli
- binding protein
- mass spectrometry
- biofilm formation
- machine learning
- dna methylation
- antimicrobial resistance
- healthcare
- heat stress
- genetic diversity
- long non coding rna
- copy number
- gram negative
- deep learning
- liquid chromatography
- staphylococcus aureus
- protein protein
- density functional theory
- small molecule
- capillary electrophoresis
- high resolution
- molecular dynamics
- saccharomyces cerevisiae
- high performance liquid chromatography