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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Antibiotic-mediated changes in the fecal microbiome of broiler chickens define the incidence of antibiotic resistance genes
|
|---|---|
| Published in |
Microbiome, February 2018
|
| DOI | 10.1186/s40168-018-0419-2 |
| Pubmed ID | |
| Authors |
Wenguang Xiong, Yulin Wang, Yongxue Sun, Liping Ma, Qinglin Zeng, Xiaotao Jiang, Andong Li, Zhenling Zeng, Tong Zhang |
| Abstract |
Antimicrobial agents have been widely used in animal farms to prevent and treat animal diseases and to promote growth. Antimicrobial agents may change the bacterial community and enhance the resistome in animal feces. We used metagenome-wide analysis to investigate the changes in bacterial community, variations in antibiotic resistance genes (ARGs), and their bacterial hosts in the feces of broiler chickens over a full-treatment course of chlortetracycline at low and therapeutic dose levels. The effects of chlortetracycline on resistome were dependent on the specific ARG subtypes and not simply the overall community-level ARGs. Therapeutic dose of chlortetracycline promoted the abundance of tetracycline resistance genes (tetA and tetW) and inhibited multidrug resistance genes (mdtA, mdtC, mdtK, ompR, and TolC). The therapeutic dose of chlortetracycline led to loss of Proteobacteria mainly due to the decrease of Escherichia/Shigella (from 72 to 58%). Inhibition of Escherichia by chlortetracycline was the primary reason for the decrease of genes resistant to multiple drugs in the therapeutic dose group. The ARG host Bifidobacterium were enriched due to tetW harbored by Bifidobacterium under chlortetracycline treatment. Escherichia was always the major host for multidrug resistance genes, whereas the primary host was changed from Escherichia to Klebsiella for aminoglycoside resistance genes with the treatment of therapeutic dose of chlortetracycline. We provided the first metagenomic insights into antibiotic-mediated alteration of ARG-harboring bacterial hosts at community-wide level in chicken feces. These results indicated that the changes in the structure of antibiotic-induced feces microbial communities accompany changes in the abundance of bacterial hosts carrying specific ARGs in the feces microbiota. These findings will help to optimize therapeutic schemes for the effective treatment of antibiotic resistant pathogens in poultry farms. Resistome variations in faecal microbiome of chickens exposed to chlortetracycline. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 12% |
| Spain | 2 | 12% |
| Canada | 1 | 6% |
| United States | 1 | 6% |
| United Kingdom | 1 | 6% |
| India | 1 | 6% |
| Australia | 1 | 6% |
| Taiwan | 1 | 6% |
| Myanmar | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 47% |
| Members of the public | 8 | 47% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 237 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 14% |
| Researcher | 29 | 12% |
| Student > Master | 28 | 12% |
| Student > Doctoral Student | 15 | 6% |
| Other | 13 | 5% |
| Other | 33 | 14% |
| Unknown | 86 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 17% |
| Veterinary Science and Veterinary Medicine | 23 | 10% |
| Biochemistry, Genetics and Molecular Biology | 19 | 8% |
| Immunology and Microbiology | 15 | 6% |
| Environmental Science | 13 | 5% |
| Other | 28 | 12% |
| Unknown | 98 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 27 October 2018.
All research outputs
#2,036,046
of 24,093,053 outputs
Outputs from Microbiome
#804
of 1,593 outputs
Outputs of similar age
#50,036
of 453,048 outputs
Outputs of similar age from Microbiome
#45
of 62 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one is in the 49th percentile – i.e., 49% 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 453,048 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 88% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.