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Duplicated antibiotic resistance genes reveal ongoing selection and horizontal gene transfer in bacteria.


ABSTRACT: Horizontal gene transfer (HGT) and gene duplication are often considered as separate mechanisms driving the evolution of new functions. However, the mobile genetic elements (MGEs) implicated in HGT can copy themselves, so positive selection on MGEs could drive gene duplications. Here, we use a combination of modeling and experimental evolution to examine this hypothesis and use long-read genome sequences of tens of thousands of bacterial isolates to examine its generality in nature. Modeling and experiments show that antibiotic selection can drive the evolution of duplicated antibiotic resistance genes (ARGs) through MGE transposition. A key implication is that duplicated ARGs should be enriched in environments associated with antibiotic use. To test this, we examined the distribution of duplicated ARGs in 18,938 complete bacterial genomes with ecological metadata. Duplicated ARGs are highly enriched in bacteria isolated from humans and livestock. Duplicated ARGs are further enriched in an independent set of 321 antibiotic-resistant clinical isolates. Our findings indicate that duplicated genes often encode functions undergoing positive selection and horizontal gene transfer in microbial communities.

SUBMITTER: Maddamsetti R 

PROVIDER: S-EPMC10873360 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

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Duplicated antibiotic resistance genes reveal ongoing selection and horizontal gene transfer in bacteria.

Maddamsetti Rohan R   Yao Yi Y   Wang Teng T   Gao Junheng J   Huang Vincent T VT   Hamrick Grayson S GS   Son Hye-In HI   You Lingchong L  

Nature communications 20240216 1


Horizontal gene transfer (HGT) and gene duplication are often considered as separate mechanisms driving the evolution of new functions. However, the mobile genetic elements (MGEs) implicated in HGT can copy themselves, so positive selection on MGEs could drive gene duplications. Here, we use a combination of modeling and experimental evolution to examine this hypothesis and use long-read genome sequences of tens of thousands of bacterial isolates to examine its generality in nature. Modeling and  ...[more]

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