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Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance
Published on: May 2, 2018
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Insertion and deletion evolution reflects antibiotics selection pressure in a Mycobacterium tuberculosis outbreak
Maxime Godfroid1, Tal Dagan1, Matthias Merker2,3
1Institute of General Microbiology, Kiel University, Kiel, Germany.
Plos Pathogens
|September 30, 2020
Summary
Insertions and deletions (indels) are key genetic variants in Mycobacterium tuberculosis (MTB) evolution during tuberculosis treatment. These indels, enriched in antibiotic resistance genes, significantly impact MTB
Area of Science:
- Genomics
- Evolutionary Biology
- Microbiology
Background:
- Genetic variants drive genome evolution and adaptation.
- Tuberculosis treatment selects for antibiotic resistance in Mycobacterium tuberculosis (MTB).
- The role of insertions and deletions (indels) in MTB evolution is understudied compared to point substitutions.
Purpose of the Study:
- To investigate the frequency and impact of high-quality indels in a multi-drug resistant MTB outbreak.
- To understand the evolutionary dynamics and contribution of indels to antibiotic resistance in MTB.
Main Methods:
- Analysis of indels and substitutions in MTB strains from a multi-drug resistant outbreak.
- Assessment of indel inheritance and evolutionary rate using a molecular clock.
- Examination of co-occurrence of indels and substitutions in relevant genes.
Main Results:
- Indels are significantly enriched in genes associated with antibiotic resistance.
- Indels are inherited within the MTB outbreak and evolve at a slower rate than substitutions.
- Co-occurrence of indels and substitutions observed in genes related to iron storage and second-line antibiotic resistance.
Conclusions:
- Indels play a significant role in the evolution of antibiotic resistance in Mycobacterium tuberculosis.
- Epistatic interactions between indels and substitutions influence MTB adaptation and compensatory evolution.
- Understanding indel dynamics is crucial for comprehending MTB genome evolution under treatment pressure.
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