Title |
Pyrosequencing-based analysis of fecal microbial communities in three purebred pig lines
|
---|---|
Published in |
Journal of Microbiology, July 2014
|
DOI | 10.1007/s12275-014-4270-2 |
Pubmed ID | |
Authors |
Edward Alain B. Pajarillo, Jong Pyo Chae, Marilen P. Balolong, Hyeun Bum Kim, Kang-Seok Seo, Dae-Kyung Kang |
Abstract |
This study examined the fecal bacterial diversity of 15-weekold pigs from three purebred lines: Duroc, Landrace, and Yorkshire. Taxon-dependent and -independent analyses were performed to evaluate differences in the fecal bacterial communities and to identify bacterial genera that can be used to discriminate breeds, following high-throughput pyrosequencing of 16S rRNA genes. Among the breeds evaluated, Landrace had the most diverse bacterial community composition. Prevotella, Blautia, Oscillibacter, and Clostridium were detected in all samples regardless of breed. On the other hand, Catenibacterium, Blautia, Dialister, and Sphaerochaeta were differentially detected among breeds, as demonstrated by the canonical loading plot. The discriminant analysis of principal components plot also showed clear separation of the three purebred pig lines, with a certain degree of similarity between Landrace and Yorkshire pigs and a distinct separation between Duroc pigs and the other two breeds. Other factors not related to breed, such as season or time of sampling and pen effects, may contribute to shaping the gut microbiota of pigs. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | 1% |
Unknown | 91 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 22% |
Researcher | 20 | 22% |
Student > Master | 13 | 14% |
Student > Bachelor | 6 | 7% |
Student > Doctoral Student | 3 | 3% |
Other | 7 | 8% |
Unknown | 23 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 37 | 40% |
Biochemistry, Genetics and Molecular Biology | 10 | 11% |
Veterinary Science and Veterinary Medicine | 9 | 10% |
Immunology and Microbiology | 5 | 5% |
Environmental Science | 1 | 1% |
Other | 5 | 5% |
Unknown | 25 | 27% |