2022
DOI: 10.1038/s41467-022-31509-8
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The megabase-scale crossover landscape is largely independent of sequence divergence

Abstract: Meiotic recombination frequency varies along chromosomes and strongly correlates with sequence divergence. However, the causal relationship between recombination landscapes and polymorphisms is unclear. Here, we characterize the genome-wide recombination landscape in the quasi-absence of polymorphisms, using Arabidopsis thaliana homozygous inbred lines in which a few hundred genetic markers were introduced through mutagenesis. We find that megabase-scale recombination landscapes in inbred lines are strikingly … Show more

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Cited by 27 publications
(31 citation statements)
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“…A study of crossover distribution at the kilobase scale in various A. thaliana hybrids showed a parabolic relationship between SNP density and crossover rate; that is, an initial positive correlation between crossover occurrence with increasing SNP density turns into a negative correlation beyond a certain threshold (Blackwell et al 2020). However, a recent analysis comparing the chromosomal distribution of crossovers between hybrid and inbred lines showed no significant difference at the chromosomal scale (Lian et al 2022). This indicates that crossover distribution is largely shaped by factors other than the presence or absence of polymorphism (Choi et al 2013(Choi et al , 2018Hsu et al 2021;Lian et al 2022).…”
Section: Recombination Pathways and Polymorphism Sensitivitymentioning
confidence: 93%
“…A study of crossover distribution at the kilobase scale in various A. thaliana hybrids showed a parabolic relationship between SNP density and crossover rate; that is, an initial positive correlation between crossover occurrence with increasing SNP density turns into a negative correlation beyond a certain threshold (Blackwell et al 2020). However, a recent analysis comparing the chromosomal distribution of crossovers between hybrid and inbred lines showed no significant difference at the chromosomal scale (Lian et al 2022). This indicates that crossover distribution is largely shaped by factors other than the presence or absence of polymorphism (Choi et al 2013(Choi et al , 2018Hsu et al 2021;Lian et al 2022).…”
Section: Recombination Pathways and Polymorphism Sensitivitymentioning
confidence: 93%
“…In addition to the global crossover patterning processes described above, genomic and epi-genomic features such as chromatin state, replication timing, gene density and many others are predictive of crossover patterning at both chromosomal and local scales (Choi et al 2018;Underwood et al 2018;Pratto et al 2021;Hsu et al 2022;Lian et al 2022). In Arabidopsis, potato, wheat and maize crossovers have been shown to occur in open chromatin, at gene ends, i.e.…”
Section: Feature-based Crossover Patterningmentioning
confidence: 99%
“…Despite these caveats, genomic features can be used to predict crossover patterning with considerable accuracy. In a recent report, authors used machine learning approaches to predict crossover distributions based on 17 genomic features (Lian et al 2022). They determined the most informative features for predicting crossover distributions were open chromatin (ATAC-seq), gene density and CHH DNA methylation which together accounted for 85% of the variation in crossover distributions (Lian et al 2022).…”
Section: Feature-based Crossover Patterningmentioning
confidence: 99%
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