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Microbial diversity and community composition of caecal microbiota in commercial and indigenous Indian chickens determined using 16s rDNA amplicon sequencing.
Pandit, Ramesh J; Hinsu, Ankit T; Patel, Namrata V; Koringa, Prakash G; Jakhesara, Subhash J; Thakkar, Jalpa R; Shah, Tejas M; Limon, Georgina; Psifidi, Androniki; Guitian, Javier; Hume, David A; Tomley, Fiona M; Rank, Dharamshibhai N; Raman, M; Tirumurugaan, K G; Blake, Damer P; Joshi, Chaitanya G.
Afiliación
  • Pandit RJ; Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, 388001, India.
  • Hinsu AT; Department of Animal Genetics and Breeding, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, 388001, India.
  • Patel NV; Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, 388001, India.
  • Koringa PG; Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, 388001, India.
  • Jakhesara SJ; Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, 388001, India.
  • Thakkar JR; Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, 388001, India.
  • Shah TM; Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, 388001, India.
  • Limon G; Department of Pathology and Population Sciences, Royal Veterinary College, North Mymms, Hertfordshire, UK.
  • Psifidi A; The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian, UK.
  • Guitian J; Department of Clinical Science and Services, Royal Veterinary College, North Mymms, Hertfordshire, UK.
  • Hume DA; Department of Pathology and Population Sciences, Royal Veterinary College, North Mymms, Hertfordshire, UK.
  • Tomley FM; The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian, UK.
  • Rank DN; Department of Pathology and Population Sciences, Royal Veterinary College, North Mymms, Hertfordshire, UK.
  • Raman M; Department of Animal Genetics and Breeding, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, 388001, India.
  • Tirumurugaan KG; Department of Veterinary Parasitology, Madras Veterinary College, Tamil Nadu Veterinary and Animal Sciences University, Chennai, 600007, India.
  • Blake DP; Translational Research Platform for Veterinary Biologicals, Tamil Nadu Veterinary and Animal Sciences University, Chennai, 600051, India.
  • Joshi CG; Department of Pathology and Population Sciences, Royal Veterinary College, North Mymms, Hertfordshire, UK. dblake@rvc.ac.uk.
Microbiome ; 6(1): 115, 2018 06 23.
Article en En | MEDLINE | ID: mdl-29935540
ABSTRACT

BACKGROUND:

The caecal microbiota plays a key role in chicken health and performance, influencing digestion and absorption of nutrients, and contributing to defence against colonisation by invading pathogens. Measures of productivity and resistance to pathogen colonisation are directly influenced by chicken genotype, but host driven variation in microbiome structure is also likely to exert a considerable indirect influence.

METHODS:

Here, we define the caecal microbiome of indigenous Indian Aseel and Kadaknath chicken breeds and compare them with the global commercial broiler Cobb400 and Ross 308 lines using 16S rDNA V3-V4 hypervariable amplicon sequencing.

RESULTS:

Each caecal microbiome was dominated by the genera Bacteroides, unclassified bacteria, unclassified Clostridiales, Clostridium, Alistipes, Faecalibacterium, Eubacterium and Blautia. Geographic location (a measure recognised to include variation in environmental and climatic factors, but also likely to feature varied management practices) and chicken line/breed were both found to exert significant impacts (p < 0.05) on caecal microbiome composition. Linear discriminant analysis effect size (LEfSe) revealed 42 breed-specific biomarkers in the chicken lines reared under controlled conditions at two different locations.

CONCLUSION:

Chicken breed-specific variation in bacterial occurrence, correlation between genera and clustering of operational taxonomic units indicate scope for quantitative genetic analysis and the possibility of selective breeding of chickens for defined enteric microbiota.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_zoonosis Asunto principal: Bacterias / Ciego / Pollos / Microbioma Gastrointestinal Límite: Animals País/Región como asunto: Asia Idioma: En Revista: Microbiome Año: 2018 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_zoonosis Asunto principal: Bacterias / Ciego / Pollos / Microbioma Gastrointestinal Límite: Animals País/Región como asunto: Asia Idioma: En Revista: Microbiome Año: 2018 Tipo del documento: Article País de afiliación: India
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