Literature DB >> 34362995

Rare and common variant discovery by whole-genome sequencing of 101 Thoroughbred racehorses.

Teruaki Tozaki1,2, Aoi Ohnuma3, Mio Kikuchi3, Taichiro Ishige3, Hironaga Kakoi3, Kei-Ichi Hirota3, Kanichi Kusano4, Shun-Ichi Nagata3.   

Abstract

The Thoroughbred breed was formed by crossing Oriental horse breeds and British native horses and is currently used in horseracing worldwide. In this study, we constructed a single-nucleotide variant (SNV) database using data from 101 Thoroughbred racehorses. Whole genome sequencing (WGS) revealed 11,570,312 and 602,756 SNVs in autosomal (1-31) and X chromosomes, respectively, yielding a total of 12,173,068 SNVs. About 6.9% of identified SNVs were rare variants observed only in one allele in 101 horses. The number of SNVs detected in individual horses ranged from 4.8 to 5.3 million. Individual horses had a maximum of 25,554 rare variants; several of these were functional variants, such as non-synonymous substitutions, start-gained, start-lost, stop-gained, and stop-lost variants. Therefore, these rare variants may affect differences in traits and phenotypes among individuals. When observing the distribution of rare variants among horses, one breeding stallion had a smaller number of rare variants compared to other horses, suggesting that the frequency of rare variants in the Japanese Thoroughbred population increases through breeding. In addition, our variant database may provide useful basic information for industrial applications, such as the detection of genetically modified racehorses in gene-doping control and pedigree-registration of racehorses using SNVs as markers.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34362995     DOI: 10.1038/s41598-021-95669-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  3 in total

1.  UPLC-ESI-Q-TOF/MS Based Metabolic Profiling of Protosappanin B in Rat Plasma, Bile, Feces, Urine and Intestinal Bacteria Samples.

Authors:  Wei-Ying Chen; Guang-Yan Liang; Zuo-Liang Zheng; Yun-Shan Wu; Fang-Fang Xu; Bo Liu; De-An Guo
Journal:  Curr Drug Metab       Date:  2021       Impact factor: 3.731

2.  Low frequency variants, collapsed based on biological knowledge, uncover complexity of population stratification in 1000 genomes project data.

Authors:  Carrie B Moore; John R Wallace; Daniel J Wolfe; Alex T Frase; Sarah A Pendergrass; Kenneth M Weiss; Marylyn D Ritchie
Journal:  PLoS Genet       Date:  2013-12-26       Impact factor: 5.917

3.  Genotype imputation using the Positional Burrows Wheeler Transform.

Authors:  Simone Rubinacci; Olivier Delaneau; Jonathan Marchini
Journal:  PLoS Genet       Date:  2020-11-16       Impact factor: 5.917

  3 in total
  2 in total

1.  Design and storage stability of reference materials for microfluidic quantitative PCR-based equine gene doping tests.

Authors:  Teruaki Tozaki; Aoi Ohnuma; Mio Kikuchi; Taichiro Ishige; Hironaga Kakoi; Kei-Ichi Hirota; Kanichi Kusano; Shun-Ichi Nagata
Journal:  J Equine Sci       Date:  2021-12-28

2.  Detection of Indiscriminate Genetic Manipulation in Thoroughbred Racehorses by Targeted Resequencing for Gene-Doping Control.

Authors:  Teruaki Tozaki; Aoi Ohnuma; Kotono Nakamura; Kazuki Hano; Masaki Takasu; Yuji Takahashi; Norihisa Tamura; Fumio Sato; Kyo Shimizu; Mio Kikuchi; Taichiro Ishige; Hironaga Kakoi; Kei-Ichi Hirota; Natasha A Hamilton; Shun-Ichi Nagata
Journal:  Genes (Basel)       Date:  2022-09-04       Impact factor: 4.141

  2 in total

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