| Title |
Molecular Insights into Antimicrobial Resistance Traits of Commensal Human Gut Microbiota
|
|---|---|
| Published in |
Microbial Ecology, July 2018
|
| DOI | 10.1007/s00248-018-1228-7 |
| Pubmed ID | |
| Authors |
Satyabrata Bag, Tarini Shankar Ghosh, Sayantan Banerjee, Ojasvi Mehta, Jyoti Verma, Mayanka Dayal, Anbumani Desigamani, Pawan Kumar, Bipasa Saha, Saurabh Kedia, Vineet Ahuja, Thandavarayan Ramamurthy, Bhabatosh Das |
| Abstract |
Antimicrobial resistance (AMR) among bacterial species that resides in complex ecosystems is a natural phenomenon. Indiscriminate use of antimicrobials in healthcare, livestock, and agriculture provides an evolutionary advantage to the resistant variants to dominate the ecosystem. Ascendency of resistant variants threatens the efficacy of most, if not all, of the antimicrobial drugs commonly used to prevent and/or cure microbial infections. Resistant phenotype is very common in enteric bacteria. The most common mechanisms of AMR are enzymatic modifications to the antimicrobials or their target molecules. In enteric bacteria, most of the resistance traits are acquired by horizontal gene transfer from closely or distantly related bacterial population. AMR traits are generally linked with mobile genetic elements (MGEs) and could rapidly disseminate to the bacterial species through horizontal gene transfer (HGT) from a pool of resistance genes. Although prevalence of AMR genes among pathogenic bacteria is widely studied in the interest of infectious disease management, the resistance profile and the genetic traits that encode resistance to the commensal microbiota residing in the gut of healthy humans are not well-studied. In the present study, we have characterized AMR phenotypes and genotypes of five dominant commensal enteric bacteria isolated from the gut of healthy Indians. Our study revealed that like pathogenic bacteria, enteric commensals are also multidrug-resistant. The genes encoding antibiotic resistance are physically linked with MGEs and could disseminate vertically to the progeny and laterally to the distantly related microbial species. Consequently, the AMR genes present in the chromosome of commensal gut bacteria could be a potential source of resistance functions for other enteric pathogens. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 25% |
| Netherlands | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 126 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 23% |
| Student > Master | 20 | 16% |
| Researcher | 16 | 13% |
| Student > Postgraduate | 5 | 4% |
| Student > Doctoral Student | 5 | 4% |
| Other | 19 | 15% |
| Unknown | 32 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 21% |
| Agricultural and Biological Sciences | 20 | 16% |
| Immunology and Microbiology | 16 | 13% |
| Medicine and Dentistry | 8 | 6% |
| Veterinary Science and Veterinary Medicine | 5 | 4% |
| Other | 9 | 7% |
| Unknown | 41 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 23 March 2019.
All research outputs
#1,083,327
of 24,460,744 outputs
Outputs from Microbial Ecology
#30
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Outputs of similar age
#23,708
of 331,296 outputs
Outputs of similar age from Microbial Ecology
#3
of 40 outputs
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