TY - JOUR
T1 - High-throughput conjugation reveals strain specific recombination patterns enabling precise trait mapping in Escherichia coli
AU - Corneloup, Thibault
AU - Bellengier, Juliette
AU - Rosinski-Chupin, Isabelle
AU - Magnan, Mélanie
AU - Chavan, Arsh
AU - Gachet, Benoit
AU - Dixit, Zoya
AU - Pintard, Coralie
AU - Baron, Alexandra
AU - Toko, Doreen
AU - Lambert, Amaury
AU - Choudhury, Alaksh
AU - Tenaillon, Olivier
N1 - Publisher Copyright:
© 2025 Corneloup et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
PY - 2025/10/30
Y1 - 2025/10/30
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105021142909
U2 - 10.1371/journal.pgen.1011636
DO - 10.1371/journal.pgen.1011636
M3 - Article
C2 - 41166396
AN - SCOPUS:105021142909
SN - 1553-7390
VL - 21
JO - PLoS Genetics
JF - PLoS Genetics
IS - 10
M1 - e1011636
ER -