Literature DB >> 30712931

Short communication: Identification of the pseudoautosomal region in the Hereford bovine reference genome assembly ARS-UCD1.2.

T Johnson1, M Keehan1, C Harland1, T Lopdell1, R J Spelman1, S R Davis1, B D Rosen2, T P L Smith3, C Couldrey4.   

Abstract

In cattle, the X chromosome accounts for approximately 3 and 6% of the genome in bulls and cows, respectively. In spite of the large size of this chromosome, very few studies report analysis of the X chromosome in genome-wide association studies and genomic selection. This lack of genetic interrogation is likely due to the complexities of undertaking these studies given the hemizygous state of some, but not all, of the X chromosome in males. The first step in facilitating analysis of this gene-rich chromosome is to accurately identify coordinates for the pseudoautosomal boundary (PAB) to split the chromosome into a region that may be treated as autosomal sequence (pseudoautosomal region) and a region that requires more complex statistical models. With the recent release of ARS-UCD1.2, a more complete and accurate assembly of the cattle genome than was previously available, it is timely to fine map the PAB for the first time. Here we report the use of SNP chip genotypes, short-read sequences, and long-read sequences to fine map the PAB (X chromosome:133,300,518) and simultaneously determine the neighboring regions of reduced homology and true pseudoautosomal region. These results greatly facilitate the inclusion of the X chromosome in genome-wide association studies, genomic selection, and other genetic analysis undertaken on this reference genome. The Authors. Published by FASS Inc. and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Entities:  

Keywords:  cattle; chromosome X; pseudoautosomal region boundary

Mesh:

Year:  2019        PMID: 30712931     DOI: 10.3168/jds.2018-15638

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  8 in total

1.  Effect of genomic X-chromosome regions on Nelore bull fertility.

Authors:  Isis da Costa Hermisdorff; Iara Del Pilar Solar Diaz; Gregório Miguel Ferreira de Camargo; Lucia Galvão de Albuquerque; Raphael Bermal Costa
Journal:  J Appl Genet       Date:  2021-06-18       Impact factor: 3.240

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

Authors:  Junjie Zhang; Naveen Kumar Kadri; Erik Mullaart; Richard Spelman; Sébastien Fritz; Didier Boichard; Carole Charlier; Michel Georges; Tom Druet
Journal:  Heredity (Edinb)       Date:  2020-07-10       Impact factor: 3.821

3.  New insights into mammalian sex chromosome structure and evolution using high-quality sequences from bovine X and Y chromosomes.

Authors:  Ruijie Liu; Wai Yee Low; Rick Tearle; Sergey Koren; Jay Ghurye; Arang Rhie; Adam M Phillippy; Benjamin D Rosen; Derek M Bickhart; Timothy P L Smith; Stefan Hiendleder; John L Williams
Journal:  BMC Genomics       Date:  2019-12-19       Impact factor: 3.969

4.  Design and performance of a bovine 200 k SNP chip developed for endangered German Black Pied cattle (DSN).

Authors:  Guilherme B Neumann; Paula Korkuć; Danny Arends; Manuel J Wolf; Katharina May; Monika Reißmann; Salma Elzaki; Sven König; Gudrun A Brockmann
Journal:  BMC Genomics       Date:  2021-12-18       Impact factor: 3.969

5.  Genetic Modeling and Genomic Analyses of Yearling Temperament in American Angus Cattle and Its Relationship With Productive Efficiency and Resilience Traits.

Authors:  Amanda B Alvarenga; Hinayah R Oliveira; Stephen P Miller; Fabyano F Silva; Luiz F Brito
Journal:  Front Genet       Date:  2022-04-04       Impact factor: 4.772

6.  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

7.  X chromosome variants are associated with male fertility traits in two bovine populations.

Authors:  Marina R S Fortes; Laercio R Porto-Neto; Nana Satake; Loan T Nguyen; Ana Claudia Freitas; Thaise P Melo; Daiane Cristina Becker Scalez; Ben Hayes; Fernanda S S Raidan; Antonio Reverter; Gry B Boe-Hansen
Journal:  Genet Sel Evol       Date:  2020-08-12       Impact factor: 4.297

8.  Haplotype-Based Single-Step GWAS for Yearling Temperament in American Angus Cattle.

Authors:  Andre C Araujo; Paulo L S Carneiro; Amanda B Alvarenga; Hinayah R Oliveira; Stephen P Miller; Kelli Retallick; Luiz F Brito
Journal:  Genes (Basel)       Date:  2021-12-22       Impact factor: 4.096

  8 in total

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