Literature DB >> 33719343

Genetic Parameters and Genome-Wide Association Studies of Eight Longevity Traits Representing Either Full or Partial Lifespan in Chinese Holsteins.

Hailiang Zhang1, Aoxing Liu1,2, Yachun Wang1, Hanpeng Luo1, Xinyi Yan1, Xiangyu Guo2, Xiang Li1, Lin Liu3, Guosheng Su2.   

Abstract

Due to the complexity of longevity trait in dairy cattle, two groups of trait definitions are widely used to measure longevity, either covering the full lifespan or representing only a part of it to achieve an early selection. Usually, only one group of longevity definition is used in breeding program for one population, and genetic studies on the comparisons of two groups of trait definitions are scarce. Based on the data of eight traits well representing the both groups of trait definitions, the current study investigated genetic parameters and genetic architectures of longevity in Holsteins. Heritabilities and correlations of eight longevity traits were estimated using single-trait and multi-trait animal models, with the data from 103,479 cows. Among the cows with phenotypes, 2,630 cows were genotyped with the 150K-SNP panel. A single-trait fixed and random Circuitous Probability Unification model was performed to detect candidate genes for eight longevity traits. Generally, all eight longevity traits had low heritabilities, ranging from 0.038 for total productive life and herd life to 0.090 for days from the first calving to the end of first lactation or culling. High genetic correlations were observed among the traits within the same definition group: from 0.946 to 0.997 for three traits reflecting full lifespan and from 0.666 to 0.997 for five traits reflecting partial productive life. Genetic correlations between two groups of traits ranged from 0.648 to 0.963, and increased gradually with the extension of lactations number regarding the partial productive life traits. A total of 55 SNPs located on 25 chromosomes were found genome-wide significantly associated with longevity, in which 12 SNPs were associated with more than one trait, even across traits of different definition groups. This is the first study to investigate the genetic architecture of longevity representing both full and the partial lifespan simultaneously, which will assist the selection of an appropriate trait definition for genetic improvement of longevity. Because of high genetic correlations with the full lifespan traits and higher heritability, the partial productive life trait measured as the days from the first calving to the end of the third lactation or culling could be a good alternative for early selection on longevity. The candidate genes identified by this study, such as RPRM, GRIA3, GTF2H5, CA5A, CACNA2D1, FGF10, and DNAJA3, could be used to pinpoint causative mutations for longevity and further benefit the genomic improvement of longevity in dairy cattle.
Copyright © 2021 Zhang, Liu, Wang, Luo, Yan, Guo, Li, Liu and Su.

Entities:  

Keywords:  candidate gene; dairy cattle; genetic correlation; heritability; lifespan

Year:  2021        PMID: 33719343      PMCID: PMC7947242          DOI: 10.3389/fgene.2021.634986

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


  43 in total

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Authors:  B Devlin; K Roeder
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

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Authors:  Adriana García-Ruiz; John B Cole; Paul M VanRaden; George R Wiggans; Felipe J Ruiz-López; Curtis P Van Tassell
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-27       Impact factor: 11.205

Review 3.  Estimation of genetic parameters for longevity traits in dairy cattle: a review with focus on the characteristics of analytical models.

Authors:  Osamu Sasaki
Journal:  Anim Sci J       Date:  2013-04-18       Impact factor: 1.749

4.  Genetic analysis of longevity in Dutch dairy cattle using random regression.

Authors:  M L van Pelt; T H E Meuwissen; G de Jong; R F Veerkamp
Journal:  J Dairy Sci       Date:  2015-04-16       Impact factor: 4.034

5.  Multitrait restricted maximum likelihood estimates of genetic and phenotypic parameters of lifetime performance traits for Canadian Holsteins.

Authors:  L K Jairath; J F Hayes; R I Cue
Journal:  J Dairy Sci       Date:  1994-01       Impact factor: 4.034

6.  FGF10 inhibits dominant follicle growth and estradiol secretion in vivo in cattle.

Authors:  Bernardo G Gasperin; Rogério Ferreira; Monique T Rovani; Joabel T Santos; José Buratini; Christopher A Price; Paulo Bayard D Gonçalves
Journal:  Reproduction       Date:  2012-03-28       Impact factor: 3.906

7.  Estimation of genetic parameters and heterosis for longevity in crossbred Danish dairy cattle.

Authors:  J B Clasen; E Norberg; P Madsen; J Pedersen; M Kargo
Journal:  J Dairy Sci       Date:  2017-05-24       Impact factor: 4.034

8.  The NER-related gene GTF2H5 predicts survival in high-grade serous ovarian cancer patients.

Authors:  Javier Gayarre; Marta M Kamieniak; Alicia Cazorla-Jiménez; Ivan Muñoz-Repeto; Salud Borrego; Jesús García-Donas; Susana Hernando; Luis Robles-Díaz; José M García-Bueno; Teresa Ramón Y Cajal; Elena Hernández-Agudo; Victoria Heredia Soto; Ivan Márquez-Rodas; María José Echarri; Carmen Lacambra-Calvet; Raquel Sáez; Maite Cusidó; Andrés Redondo; Luis Paz-Ares; David Hardisson; Marta Mendiola; José Palacios; Javier Benítez; María José García
Journal:  J Gynecol Oncol       Date:  2015-11-27       Impact factor: 4.401

9.  Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins.

Authors:  Aoxing Liu; Yachun Wang; Goutam Sahana; Qin Zhang; Lin Liu; Mogens Sandø Lund; Guosheng Su
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

10.  Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies.

Authors:  Xiaolei Liu; Meng Huang; Bin Fan; Edward S Buckler; Zhiwu Zhang
Journal:  PLoS Genet       Date:  2016-02-01       Impact factor: 5.917

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  2 in total

1.  Three new genes associated with longevity in the European Bison.

Authors:  Evžen Korec; Lenka Ungrová; Jiří Hejnar; Adéla Grieblová; Kateřina Zelená
Journal:  Vet Anim Sci       Date:  2022-07-29

2.  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

  2 in total

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