Title |
Deciphering chicken gut microbial dynamics based on high-throughput 16S rRNA metagenomics analyses
|
---|---|
Published in |
Gut Pathogens, February 2015
|
DOI | 10.1186/s13099-015-0051-7 |
Pubmed ID | |
Authors |
Mohd Asrore Mohd Shaufi, Chin Chin Sieo, Chun Wie Chong, Han Ming Gan, Yin Wan Ho |
Abstract |
Chicken gut microbiota has paramount roles in host performance, health and immunity. Understanding the topological difference in gut microbial community composition is crucial to provide knowledge on the functions of each members of microbiota to the physiological maintenance of the host. The gut microbiota profiling of the chicken was commonly performed previously using culture-dependent and early culture-independent methods which had limited coverage and accuracy. Advances in technology based on next-generation sequencing (NGS), offers unparalleled coverage and depth in determining microbial gut dynamics. Thus, the aim of this study was to investigate the ileal and caecal microbiota development as chicken aged, which is important for future effective gut modulation. |
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Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | <1% |
South Africa | 1 | <1% |
India | 1 | <1% |
Mexico | 1 | <1% |
Belgium | 1 | <1% |
Spain | 1 | <1% |
Unknown | 292 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 63 | 21% |
Student > Master | 44 | 15% |
Researcher | 39 | 13% |
Student > Bachelor | 18 | 6% |
Student > Doctoral Student | 16 | 5% |
Other | 49 | 16% |
Unknown | 70 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 122 | 41% |
Biochemistry, Genetics and Molecular Biology | 35 | 12% |
Immunology and Microbiology | 20 | 7% |
Veterinary Science and Veterinary Medicine | 19 | 6% |
Earth and Planetary Sciences | 3 | 1% |
Other | 22 | 7% |
Unknown | 78 | 26% |