| Title |
Characterization of the gut microbiota in the golden takin (Budorcas taxicolor bedfordi)
|
|---|---|
| Published in |
AMB Express, April 2017
|
| DOI | 10.1186/s13568-017-0374-5 |
| Pubmed ID | |
| Authors |
Jun Chen, Huanxin Zhang, Xiaoyang Wu, Shuai Shang, Jiakuo Yan, Yao Chen, Honghai Zhang, Xuexi Tang |
| Abstract |
The gut microbiota of mammals is a complex ecosystem, which is essential for maintaining gut homeostasis and the host's health. The high throughput sequencing allowed us to gain a deeper insight into the bacterial structure and diversity. In order to improve the health status of the endangered golden takins, we first characterized the fecal microbiota of healthy golden takins using high throughput sequencing of the 16S rRNA genes V3-V4 hypervariable regions. Our results showed that, Firstly, the gut microbiota community comprised 21 phyla, 40 classes, 62 orders, 96 families, and 216 genera. Firmicutes (67.59%) was the most abundant phylum, followed by Bacteroidetes (23.57%) and Proteobacteria (2.37%). Secondly, the golden takin maintained higher richness in spring than in the winter while community diversity and evenness was not significantly different. Thirdly, four female golden takins demonstrated highly similar microbiota and the five golden takin males had relatively highly similar microbiota. All of our results might indicate that the fecal microbiota of golden takins were influenced by the season and the animal's sex. The findings provided theoretical basis regarding the gut microbiota of golden takins and may offer new insights to protect this endangered species. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 25% |
| Student > Ph. D. Student | 4 | 25% |
| Researcher | 3 | 19% |
| Student > Postgraduate | 2 | 13% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 31% |
| Immunology and Microbiology | 3 | 19% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Nursing and Health Professions | 1 | 6% |
| Environmental Science | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 2 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 19 January 2024.
All research outputs
#2,410,996
of 25,195,876 outputs
Outputs from AMB Express
#29
of 1,316 outputs
Outputs of similar age
#43,448
of 316,098 outputs
Outputs of similar age from AMB Express
#3
of 54 outputs
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So far Altmetric has tracked 1,316 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 97% of its peers.
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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 has done particularly well, scoring higher than 96% of its contemporaries.