High-throughput conjugation reveals strain specific recombination patterns enabling precise trait mapping in Escherichia coli

Thibault Corneloup, Juliette Bellengier, Isabelle Rosinski-Chupin, Mélanie Magnan, Arsh Chavan, Benoit Gachet, Zoya Dixit, Coralie Pintard, Alexandra Baron, Doreen Toko, Amaury Lambert, Alaksh Choudhury, Olivier Tenaillon

Research output: Contribution to journalArticlepeer-review

Abstract

Genetic exchange is a cornerstone of evolutionary biology and genomics, driving adaptation and enabling the identification of genetic determinants underlying phenotypic traits. In Escherichia coli, horizontal gene transfer via conjugation and transduction not only promotes diversification and adaptation but has also been instrumental in mapping genetic traits. However, the dynamics and variability of bacterial recombination remain poorly understood, particularly concerning the patterns of recombined DNA fragments. To elucidate these patterns and simultaneously develop a tool for trait mapping, we designed a high-throughput conjugation method to generate recombinant libraries. Recombination profiles were inferred through whole-genome sequencing of individual clones and populations after selection of a marker from the donor strain in the recipient. This analysis revealed an extraordinary range of recombined fragment sizes, spanning less than ten kilobases to over a megabase—a pattern that varied across the three tested strains. Mathematical modelling indicated that this diversity in recombined fragment size enables precise identification of selected loci following genetic crosses. Consistently, population sequencing pinpointed a selected marker at kilobase-scale accuracy, offering a robust tool for identifying subtle genetic determinants that could include point mutations in core genes. These findings challenge the conventional view that conjugation always transfers large fragments, suggesting that even short recombined segments, traditionally attributed to transduction, may originate from conjugation.

Original languageEnglish
Article numbere1011636
JournalPLoS Genetics
Volume21
Issue number10
DOIs
Publication statusPublished - 30 Oct 2025
Externally publishedYes

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