Literature DB >> 27143764

Association of AMPK subunit gene polymorphisms with growth, feed intake, and feed efficiency in meat-type chickens.

Sihua Jin1, El Mostafa El Moujahid1, Zhongyi Duan1, Jiawei Zheng1, Lujiang Qu1, Guiyun Xu1, Ning Yang2, Sirui Chen3.   

Abstract

Investigations on regulatory genes of feed intake will provide a rational scientific basis to improve future selection indices for more efficient chickens. In the present study, we investigated the association of 13 previously reported SNPs in the chicken adenosine monophosphate activated protein kinase (AMPK) subunits PRKAB1, PRKAG2, and PRKAG3 genes with body weight (BW), body weight gain (BWG), feed intake (FI), and feed conversion ratio (FCR) in two distinct yellow meat-type strains. Six SNPs with a very low minor allele frequency were removed by genotype quality control and data filtering. The experimental population comprised 796 pedigreed males from two strains with different genetic backgrounds, 335 chickens from N202 and 461 chickens from N301. BW at 49 (BW49) and 70 days of age (BW70) and FI (from 49 to 70 days of age) were determined individually. BWG and FCR were computed based on BW and FI in the interval between 49 to 70 days. The results indicated that PRKAB1 SNPs rs14094358 and rs14094362 were significantly associated with BW70, BWG, and FI in the N202 strain, and rs14094361 and rs14094363 were significantly associated with FI and FCR in the N301 strain (P < 0.05). In addition, the PRKAG2 SNP rs14133282 showed significant association with FI in N202, and rs13535812 was significantly associated with BW70 in N202 (P < 0.05). Moreover, the PRKAG3 SNP rs13595570 was significantly associated with BW in N202 (P < 0.05), and significantly associated with FI and FCR in N301 (P < 0.05). Additionally, a two-SNP haplotype comprising rs14094361 and rs14094362 in PRKAB1 was significantly associated with BWG in N202 (P < 0.05). Meanwhile, haplotypes based on two SNPs, rs14133282, and rs13535812, showed significant effects on FI in N202 (P < 0.05). Our findings therefore provide important evidence for association of AMPK subunits polymorphisms with body weight, feed intake, and feed efficiency that may be applied in meat-type chicken breeding programs.
© 2016 Poultry Science Association Inc.

Entities:  

Keywords:  adenosine monophosphate activated protein kinase; chicken; feed conversion ratio; feed intake; growth

Mesh:

Substances:

Year:  2016        PMID: 27143764     DOI: 10.3382/ps/pew081

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  5 in total

1.  Transcriptome Analysis Reveals the Differentially Expressed Genes Associated with Growth in Guangxi Partridge Chickens.

Authors:  Minghui Shao; Kai Shi; Qian Zhao; Ying Duan; Yangyang Shen; Jinjie Tian; Kun He; Dongfeng Li; Minli Yu; Yangqing Lu; Yanfei Tang; Chungang Feng
Journal:  Genes (Basel)       Date:  2022-04-29       Impact factor: 4.141

Review 2.  Genetic aspects of feed efficiency and reduction of environmental footprint in broilers: a review.

Authors:  Ewa Sell-Kubiak; Klaus Wimmers; Henry Reyer; Tomasz Szwaczkowski
Journal:  J Appl Genet       Date:  2017-03-24       Impact factor: 3.240

3.  Genome-wide DNA methylation profiles reveal novel candidate genes associated with meat quality at different age stages in hens.

Authors:  Meng Zhang; Feng-Bin Yan; Fang Li; Ke-Ren Jiang; Dong-Hua Li; Rui-Li Han; Zhuan-Jan Li; Rui-Rui Jiang; Xiao-Jun Liu; Xiang-Tao Kang; Gui-Rong Sun
Journal:  Sci Rep       Date:  2017-04-05       Impact factor: 4.379

4.  Transcriptome profile analysis of leg muscle tissues between slow- and fast-growing chickens.

Authors:  Pengfei Wu; Guojun Dai; Fuxiang Chen; Lan Chen; Tao Zhang; Kaizhou Xie; Jinyu Wang; Genxi Zhang
Journal:  PLoS One       Date:  2018-11-07       Impact factor: 3.240

5.  POMC gene expression, polymorphism, and the association with reproduction traits in chickens.

Authors:  K Liu; Y Y Wen; H H Liu; H Y Cao; X Y Dong; H G Mao; Z Z Yin
Journal:  Poult Sci       Date:  2020-03-19       Impact factor: 3.352

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.