Comparison of Fine-Scale Recombination Rates in Humans and Chimpanzees

Science ◽  
2005 ◽  
Vol 308 (5718) ◽  
pp. 107-111 ◽  
Author(s):  
W. Winckler
2004 ◽  
Vol 36 (7) ◽  
pp. 700-706 ◽  
Author(s):  
Dana C Crawford ◽  
Tushar Bhangale ◽  
Na Li ◽  
Garrett Hellenthal ◽  
Mark J Rieder ◽  
...  

2018 ◽  
Author(s):  
Ian M.S. White ◽  
William G. Hill

ABSTRACTIndividuals of specified pedigree relationship vary in the proportion of the genome they share identical by descent, i.e. in their realised or actual relationship. Basing predictions of the variance in realised relationship solely on the proportion of the map length shared implicitly assumes that both recombination rate and genetic information are uniformly distributed along the genome, ignoring the possible existence of recombination hotspots, and failing to distinguish between coding and non-coding sequences. In this paper we quantify the effects of heterogeneity in recombination rate at broad and fine scale levels on the variation in realised relationship. A chromosome with variable recombination rate usually shows more variance in realised relationship than does one having the same map length with constant recombination rate, especially if recombination rates are higher towards chromosome ends. Reductions in variance can also be found, and the overall pattern of change is quite complex. In general, local (fine-scale) variation in recombination rate, e.g. hotspots, has a small influence on the variance in realised relationship. Differences in rates across longer regions and between chromosome ends can increase or decrease the variance in realised relationship, depending on the genomic architecture.


2012 ◽  
Vol 4 (5) ◽  
pp. 726-737 ◽  
Author(s):  
Timothy Paape ◽  
Peng Zhou ◽  
Antoine Branca ◽  
Roman Briskine ◽  
Nevin Young ◽  
...  

2019 ◽  
Vol 5 (10) ◽  
pp. eaaw9206 ◽  
Author(s):  
Jeffrey P. Spence ◽  
Yun S. Song

Fine-scale rates of meiotic recombination vary by orders of magnitude across the genome and differ between species and even populations. Studying cross-population differences has been stymied by the confounding effects of demographic history. To address this problem, we developed a demography-aware method to infer fine-scale recombination rates and applied it to 26 diverse human populations, inferring population-specific recombination maps. These maps recapitulate many aspects of the history of these populations including signatures of the trans-Atlantic slave trade and the Iberian colonization of the Americas. We also investigated modulators of the local recombination rate, finding further evidence that Polycomb group proteins and the trimethylation of H3K27 elevate recombination rates. Further differences in the recombination landscape across the genome and between populations are driven by variation in the gene that encodes the DNA binding protein PRDM9, and we quantify the weak effect of meiotic drive acting to remove its binding sites.


2016 ◽  
Author(s):  
Max R. Bernstein ◽  
Matthew V. Rockman

AbstractMeiotic recombination creates genotypic diversity within species. Recombination rates vary substantially across taxa and the distribution of crossovers can differ significantly among populations and between sexes. Crossover locations within species have been found to vary by chromosome and by position within chromosomes, where most crossover events occur in small regions known as recombination hotspots. However, several species appear to lack hotspots despite significant crossover heterogeneity. The nematode Caenorhabditis elegans was previously found to have the least fine-scale variation in crossover distribution among organisms studied to date. It is unclear whether this pattern extends to the X chromosome given its unique compaction through the pachytene stage of meiotic prophase in hermaphrodites. We generated 798 recombinant nested near-isogenic lines (NILs) with crossovers in a 1.41 Mb region on the left arm of the X chromosome to determine if its recombination landscape is similar to that of the autosomes. We find that the fine-scale variation in crossover rate is lower than that of other model species and is inconsistent with hotspots. The relationship of genomic features to crossover rate is dependent on scale, with GC content, histone modifications, and nucleosome occupancy being negatively associated with crossovers. We also find that the abundances of 4-6 base pair DNA motifs significantly explain crossover density. These results are consistent with recombination occurring at unevenly distributed sites of open chromatin.


Genetics ◽  
2012 ◽  
Vol 191 (3) ◽  
pp. 757-764 ◽  
Author(s):  
Hadassa Brunschwig ◽  
Liat Levi ◽  
Eyal Ben-David ◽  
Robert W. Williams ◽  
Benjamin Yakir ◽  
...  

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