Literature DB >> 32651548

Genetic architecture of individual variation in recombination rate on the X chromosome in cattle.

Junjie Zhang1, Naveen Kumar Kadri1,2, Erik Mullaart3, Richard Spelman4, Sébastien Fritz5,6, Didier Boichard6, Carole Charlier1, Michel Georges1, Tom Druet7.   

Abstract

Meiotic recombination is an essential biological process that ensures proper chromosome segregation and creates genetic diversity. Individual variation in global recombination rates has been shown to be heritable in several species, and variants significantly associated with this trait have been identified. Recombination on the sex chromosome has often been ignored in these studies although this trait may be particularly interesting as it may correspond to a biological process distinct from that on autosomes. For instance, recombination in males is restricted to the pseudo-autosomal region (PAR). We herein used a large cattle pedigree with more than 100,000 genotyped animals to improve the genetic map of the X chromosome and to study the genetic architecture of individual variation in recombination rate on the sex chromosome (XRR). The length of the genetic map was 46.4 and 121.2 cM in males and females, respectively, but the recombination rate in the PAR was six times higher in males. The heritability of CO counts on the X chromosome was comparable to that of autosomes in males (0.011) but larger than that of autosomes in females (0.024). XRR was highly correlated (0.76) with global recombination rate (GRR) in females, suggesting that both traits might be governed by shared variants. In agreement, a set of eleven previously identified variants associated with GRR had correlated effects on female XRR (0.86). In males, XRR and GRR appeared to be distinct traits, although more accurate CO counts on the PAR would be valuable to confirm these results.

Entities:  

Year:  2020        PMID: 32651548      PMCID: PMC7553937          DOI: 10.1038/s41437-020-0341-9

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  62 in total

1.  Merlin--rapid analysis of dense genetic maps using sparse gene flow trees.

Authors:  Gonçalo R Abecasis; Stacey S Cherny; William O Cookson; Lon R Cardon
Journal:  Nat Genet       Date:  2001-12-03       Impact factor: 38.330

2.  Crossover interference in the mouse.

Authors:  Karl W Broman; Lucy B Rowe; Gary A Churchill; Ken Paigen
Journal:  Genetics       Date:  2002-03       Impact factor: 4.562

3.  A radiation hybrid map of bovine X chromosome (BTAX).

Authors:  M Elisabete J Amaral; Srinivas R Kata; James E Womack
Journal:  Mamm Genome       Date:  2002-05       Impact factor: 2.957

4.  Comprehensive human genetic maps: individual and sex-specific variation in recombination.

Authors:  K W Broman; J C Murray; V C Sheffield; R L White; J L Weber
Journal:  Am J Hum Genet       Date:  1998-09       Impact factor: 11.025

5.  PRDM9 is a major determinant of meiotic recombination hotspots in humans and mice.

Authors:  F Baudat; J Buard; C Grey; A Fledel-Alon; C Ober; M Przeworski; G Coop; B de Massy
Journal:  Science       Date:  2009-12-31       Impact factor: 47.728

6.  Genetic recombination is directed away from functional genomic elements in mice.

Authors:  Kevin Brick; Fatima Smagulova; Pavel Khil; R Daniel Camerini-Otero; Galina V Petukhova
Journal:  Nature       Date:  2012-05-13       Impact factor: 49.962

7.  Maternal variant in the upstream of FOXP3 gene on the X chromosome is associated with recurrent infertility in Japanese Black cattle.

Authors:  Taichi Arishima; Shinji Sasaki; Tomohiro Isobe; Yoshihisa Ikebata; Shinichi Shimbara; Shogo Ikeda; Keisuke Kawashima; Yutaka Suzuki; Manabu Watanabe; Sumio Sugano; Kazunori Mizoshita; Yoshikazu Sugimoto
Journal:  BMC Genet       Date:  2017-12-06       Impact factor: 2.797

8.  Accounting for Errors in Low Coverage High-Throughput Sequencing Data When Constructing Genetic Maps Using Biparental Outcrossed Populations.

Authors:  Timothy P Bilton; Matthew R Schofield; Michael A Black; David Chagné; Phillip L Wilcox; Ken G Dodds
Journal:  Genetics       Date:  2018-02-27       Impact factor: 4.562

9.  Ensuring meiotic DNA break formation in the mouse pseudoautosomal region.

Authors:  Laurent Acquaviva; Michiel Boekhout; Mehmet E Karasu; Kevin Brick; Florencia Pratto; Tao Li; Megan van Overbeek; Liisa Kauppi; R Daniel Camerini-Otero; Maria Jasin; Scott Keeney
Journal:  Nature       Date:  2020-05-27       Impact factor: 49.962

10.  Dating genomic variants and shared ancestry in population-scale sequencing data.

Authors:  Patrick K Albers; Gil McVean
Journal:  PLoS Biol       Date:  2020-01-17       Impact factor: 8.029

View more
  3 in total

1.  High male specific contribution of the X-chromosome to individual global recombination rate in dairy cattle.

Authors:  N K Kadri; J Zhang; C Oget-Ebrad; Y Wang; C Couldrey; R Spelman; C Charlier; M Georges; T Druet
Journal:  BMC Genomics       Date:  2022-02-10       Impact factor: 3.969

2.  Genetic variation in recombination rate in the pig.

Authors:  Martin Johnsson; Andrew Whalen; Roger Ros-Freixedes; Gregor Gorjanc; Ching-Yi Chen; William O Herring; Dirk-Jan de Koning; John M Hickey
Journal:  Genet Sel Evol       Date:  2021-06-25       Impact factor: 4.297

3.  Theoretical and empirical comparisons of expected and realized relationships for the X-chromosome.

Authors:  Tom Druet; Andres Legarra
Journal:  Genet Sel Evol       Date:  2020-08-20       Impact factor: 4.297

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.