Literature DB >> 33633287

Exploring the genetic architecture of feed efficiency traits in chickens.

Jorge Augusto Petroli Marchesi1,2, Rafael Keith Ono3,4, Maurício Egídio Cantão3, Adriana Mércia Guaratini Ibelli3, Jane de Oliveira Peixoto3, Gabriel Costa Monteiro Moreira5, Thaís Fernanda Godoy5, Luiz Lehmann Coutinho5, Danísio Prado Munari1, Mônica Corrêa Ledur6.   

Abstract

Chicken feed efficiency (FE) traits are the most important economic traits in broiler production. Several studies evaluating genetic factors affecting food consumption in chickens are available. However, most of these studies identified genomic regions containing putative quantitative trait loci for each trait separately. It is still a challenge to find common gene networks related to these traits. Therefore, here, a genome-wide association study (GWAS) was conducted to explore candidate genomic regions responsible for Feed Intake (FI), Body Weight Gain (BWG) and Feed Conversion Ratio (FCR) traits and their gene networks. A total of 1430 broilers from an experimental population was genotyped with the high density Affymetrix 600K SNP array. A total of 119 associated SNPs located in 20 chromosomes were identified, where some of them were common in more than one FE trait. In addition, novel genomic regions were prospected considering the SNPs dominance effects and sex interaction, identifying putative candidate genes only when these effects were fit in the model. Relevant candidate genes such as ATRNL1, PIK3C2A, PTPRN2, SORCS3 and gga-mir-1759 were highlighted in this study helping to elucidate the genomic architecture of feed efficiency traits. These results provide new insights on the mechanisms underlying the consumption and utilization of food in chickens.

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Year:  2021        PMID: 33633287      PMCID: PMC7907133          DOI: 10.1038/s41598-021-84125-9

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


  54 in total

1.  Genome-wide association study reveals novel variants for growth and egg traits in Dongxiang blue-shelled and White Leghorn chickens.

Authors:  R Liao; X Zhang; Q Chen; Z Wang; Q Wang; C Yang; Y Pan
Journal:  Anim Genet       Date:  2016-05-11       Impact factor: 3.169

2.  Genetic parameters of ascites-related traits in broilers: correlations with feed efficiency and carcase traits.

Authors:  A Pakdel; J A M van Arendonk; A L J Vereijken; H Bovenhuis
Journal:  Br Poult Sci       Date:  2005-02       Impact factor: 2.095

3.  A single-nucleotide polymorphism in the 3' untranslated region of the LPIN1 gene and association analysis with performance traits in chicken.

Authors:  S P Zhang; S Y Li; W Chen; W W Lu; Y Q Huang
Journal:  Br Poult Sci       Date:  2013-06       Impact factor: 2.095

Review 4.  Review of quantitative trait loci identified in the chicken.

Authors:  B Abasht; J C M Dekkers; S J Lamont
Journal:  Poult Sci       Date:  2006-12       Impact factor: 3.352

5.  Qxpak.5: old mixed model solutions for new genomics problems.

Authors:  Miguel Pérez-Enciso; Ignacy Misztal
Journal:  BMC Bioinformatics       Date:  2011-05-25       Impact factor: 3.169

6.  Genome-wide association studies for feed intake and efficiency in two laying periods of chickens.

Authors:  Jingwei Yuan; Kehua Wang; Guoqiang Yi; Meng Ma; Taocun Dou; Congjiao Sun; Lu-Jiang Qu; Manman Shen; Liang Qu; Ning Yang
Journal:  Genet Sel Evol       Date:  2015-10-16       Impact factor: 4.297

7.  SORCS1 and SORCS3 control energy balance and orexigenic peptide production.

Authors:  Aygul Subkhangulova; Anna R Malik; Guido Hermey; Oliver Popp; Gunnar Dittmar; Thomas Rathjen; Matthew N Poy; Alexander Stumpf; Prateep Sanker Beed; Dietmar Schmitz; Tilman Breiderhoff; Thomas E Willnow
Journal:  EMBO Rep       Date:  2018-02-12       Impact factor: 8.807

8.  Genome-wide association and systems genetic analyses of residual feed intake, daily feed consumption, backfat and weight gain in pigs.

Authors:  Duy Ngoc Do; Tage Ostersen; Anders Bjerring Strathe; Thomas Mark; Just Jensen; Haja N Kadarmideen
Journal:  BMC Genet       Date:  2014-02-17       Impact factor: 2.797

9.  Genome-wide association study revealed genomic regions related to white/red earlobe color trait in the Rhode Island Red chickens.

Authors:  Changsheng Nie; Zebin Zhang; Jiangxia Zheng; Hongyan Sun; Zhonghua Ning; Guiyun Xu; Ning Yang; Lujiang Qu
Journal:  BMC Genet       Date:  2016-08-05       Impact factor: 2.797

Review 10.  Global Provisioning of Red Meat for Flexitarian Diets.

Authors:  Talia M Hicks; Scott O Knowles; Mustafa M Farouk
Journal:  Front Nutr       Date:  2018-06-14
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  3 in total

Review 1.  Emerging Roles of Non-Coding RNAs in the Feed Efficiency of Livestock Species.

Authors:  Guoyu Hu; Duy Ngoc Do; Pourya Davoudi; Younes Miar
Journal:  Genes (Basel)       Date:  2022-02-03       Impact factor: 4.096

2.  Microbial Diversity and Community Composition of Duodenum Microbiota of High and Low Egg-Yielding Taihang Chickens Identified Using 16S rRNA Amplicon Sequencing.

Authors:  Haiyin Han; Yingjie Sun; Yekai Fan; Hui Zhang; Junqi Yang; Runqing Chi; Yahui Gao; Jiannan Liu; Kaiyang Li; Wenting Li; Yufang Liu
Journal:  Life (Basel)       Date:  2022-08-18

3.  Sweet Taste Preference: Relationships with Other Tastes, Liking for Sugary Foods and Exploratory Genome-Wide Association Analysis in Subjects with Metabolic Syndrome.

Authors:  Rebeca Fernández-Carrión; Jose V Sorlí; Oscar Coltell; Eva C Pascual; Carolina Ortega-Azorín; Rocío Barragán; Ignacio M Giménez-Alba; Andrea Alvarez-Sala; Montserrat Fitó; Jose M Ordovas; Dolores Corella
Journal:  Biomedicines       Date:  2021-12-31
  3 in total

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