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Microbial diversity and community composition of caecal microbiota in commercial and indigenous Indian chickens determined using 16s rDNA amplicon sequencing

Overview of attention for article published in Microbiome, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

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1 blog
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Citations

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134 Dimensions

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171 Mendeley
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1 CiteULike
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Title
Microbial diversity and community composition of caecal microbiota in commercial and indigenous Indian chickens determined using 16s rDNA amplicon sequencing
Published in
Microbiome, June 2018
DOI 10.1186/s40168-018-0501-9
Pubmed ID
Authors

Ramesh J. Pandit, Ankit T. Hinsu, Namrata V. Patel, Prakash G. Koringa, Subhash J. Jakhesara, Jalpa R. Thakkar, Tejas M. Shah, Georgina Limon, Androniki Psifidi, Javier Guitian, David A. Hume, Fiona M. Tomley, Dharamshibhai N. Rank, M. Raman, K. G. Tirumurugaan, Damer P. Blake, Chaitanya G. Joshi

Abstract

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. 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. 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. 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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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 171 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 16%
Student > Ph. D. Student 27 16%
Student > Master 22 13%
Student > Bachelor 13 8%
Other 8 5%
Other 20 12%
Unknown 53 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 26%
Biochemistry, Genetics and Molecular Biology 24 14%
Veterinary Science and Veterinary Medicine 15 9%
Immunology and Microbiology 12 7%
Environmental Science 3 2%
Other 12 7%
Unknown 60 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2019.
All research outputs
#2,838,582
of 23,092,602 outputs
Outputs from Microbiome
#1,046
of 1,464 outputs
Outputs of similar age
#59,710
of 328,763 outputs
Outputs of similar age from Microbiome
#45
of 54 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,763 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.