Hi-reComb: constructing recombination maps from bulk gamete Hi-C sequencing.

Area of Science:

• Genetics
• Evolutionary Biology
• Genomics

Background:

• Recombination is crucial for genetic diversity and evolution in sexually reproducing species.
• Accurate estimation of recombination rates and their chromosomal variation remains a significant challenge.

Purpose of the Study:

• To introduce Hi-reComb, a novel method and software for estimating recombination maps.
• To improve the accuracy and robustness of recombination rate estimation.

Main Methods:

• Utilized bulk gamete chromosome conformation capture sequencing (Hi-C) data.
• Developed a new computational method, Hi-reComb, for recombination map estimation.
• Validated the method through simulations and empirical data from five fish species.

Main Results:

• Hi-reComb demonstrated robust and accurate estimation of recombination landscapes.
• The approach allows for joint assessment of recombination maps and large structural variants.
• Enabled map comparisons via bootstrap and facilitated trio phasing versus Hi-C phasing workflows.

Conclusions:

• Hi-reComb offers a straightforward and rapid workflow for routine recombination landscape estimation.
• The method is applicable to a broad range of studies and model organisms.
• Facilitates advancements in genetics and evolutionary biology research.