| Title |
Cellulosomics, a Gene-Centric Approach to Investigating the Intraspecific Diversity and Adaptation of Ruminococcus flavefaciens within the Rumen
|
|---|---|
| Published in |
PLOS ONE, October 2011
|
| DOI | 10.1371/journal.pone.0025329 |
| Pubmed ID | |
| Authors |
Jennifer M. Brulc, Carl J. Yeoman, Melissa K. Wilson, Margret E. Berg Miller, Patricio Jeraldo, Sadanari Jindou, Nigel Goldenfeld, Harry J. Flint, Raphael Lamed, Ilya Borovok, Maša Vodovnik, Karen E. Nelson, Edward A. Bayer, Bryan A. White |
| Abstract |
The bovine rumen maintains a diverse microbial community that serves to break down indigestible plant substrates. However, those bacteria specifically adapted to degrade cellulose, the major structural component of plant biomass, represent a fraction of the rumen microbiome. Previously, we proposed scaC as a candidate for phylotyping Ruminococcus flavefaciens, one of three major cellulolytic bacterial species isolated from the rumen. In the present report we examine the dynamics and diversity of scaC-types both within and between cattle temporally, following a dietary switch from corn-silage to grass-legume hay. These results were placed in the context of the overall bacterial population dynamics measured using the 16S rRNA. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Italy | 1 | 1% |
| Slovakia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Japan | 1 | 1% |
| Philippines | 1 | 1% |
| Unknown | 67 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 28% |
| Researcher | 20 | 26% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Professor > Associate Professor | 5 | 7% |
| Other | 9 | 12% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 61% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Chemistry | 3 | 4% |
| Environmental Science | 2 | 3% |
| Veterinary Science and Veterinary Medicine | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 12 | 16% |