Predictive Models of Recombination Rate Variation across the Drosophila melanogaster Genome.

ABSTRACT: In all eukaryotic species examined, meiotic recombination, and crossovers in particular, occur non-randomly along chromosomes. The cause for this non-random distribution remains poorly understood but some specific DNA sequence motifs have been shown to be enriched near crossover hotspots in a number of species. We present analyses using machine learning algorithms to investigate whether DNA motif distribution across the genome can be used to predict crossover variation in Drosophila melanogaster, a species without hotspots. Our study exposes a combinatorial non-linear influence of motif presence able to account for a significant fraction of the genome-wide variation in crossover rates at all genomic scales investigated, from 20% at 5-kb to almost 70% at 2,500-kb scale. The models are parti

SUBMITTER: Adrian AB 

PROVIDER: S-EPMC5010912 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature