Literature DB >> 25690762

SNP and INDEL detection in a QTL region on chicken chromosome 2 associated with muscle deposition.

T F Godoy1, G C M Moreira, C Boschiero, A A Gheyas, G Gasparin, M Paduan, S C S Andrade, H Montenegro, D W Burt, M C Ledur, L L Coutinho.   

Abstract

Genetic improvement is important for the poultry industry, contributing to increased efficiency of meat production and quality. Because breast muscle is the most valuable part of the chicken carcass, knowledge of polymorphisms influencing this trait can help breeding programs. Therefore, the complete genome of 18 chickens from two different experimental lines (broiler and layer) from EMBRAPA was sequenced, and SNPs and INDELs were detected in a QTL region for breast muscle deposition on chicken chromosome 2 between microsatellite markers MCW0185 and MCW0264 (105,849-112,649 kb). Initially, 94,674 unique SNPs and 10,448 unique INDELs were identified in the target region. After quality filtration, 77% of the SNPs (85,765) and 60% of the INDELs (7828) were retained. The studied region contains 66 genes, and functional annotation of the filtered variants identified 517 SNPs and three INDELs in exonic regions. Of these, 357 SNPs were classified as synonymous, 153 as non-synonymous, three as stopgain, four INDELs as frameshift and three INDELs as non-frameshift. These exonic mutations were identified in 37 of the 66 genes from the target region, three of which are related to muscle development (DTNA, RB1CC1 and MOS). Fifteen non-tolerated SNPs were detected in several genes (MEP1B, PRKDC, NSMAF, TRAPPC8, SDR16C5, CHD7, ST18 and RB1CC1). These loss-of-function and exonic variants present in genes related to muscle development can be considered candidate variants for further studies in chickens. Further association studies should be performed with these candidate mutations as should validation in commercial populations to allow a better explanation of QTL effects.
© 2015 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  breast muscle; functional annotation; mutation; next-generation sequencing; polymorphisms

Mesh:

Year:  2015        PMID: 25690762     DOI: 10.1111/age.12271

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  8 in total

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Journal:  J Appl Genet       Date:  2019-01-21       Impact factor: 3.240

2.  Genome-Wide Association Study of Meat Quality Traits in Nellore Cattle.

Authors:  Ana F B Magalhães; Gregório M F de Camargo; Gerardo A Fernandes; Daniel G M Gordo; Rafael L Tonussi; Raphael B Costa; Rafael Espigolan; Rafael M de O Silva; Tiago Bresolin; Willian B F de Andrade; Luciana Takada; Fabieli L B Feitosa; Fernando Baldi; Roberto Carvalheiro; Luis A L Chardulo; Lucia G de Albuquerque
Journal:  PLoS One       Date:  2016-06-30       Impact factor: 3.240

3.  Genome-wide association study for performance traits in chickens using genotype by sequencing approach.

Authors:  Fábio Pértille; Gabriel Costa Monteiro Moreira; Ricardo Zanella; José de Ribamar da Silva Nunes; Clarissa Boschiero; Gregori Alberto Rovadoscki; Gerson Barreto Mourão; Mônica Corrêa Ledur; Luiz Lehmann Coutinho
Journal:  Sci Rep       Date:  2017-02-09       Impact factor: 4.379

4.  A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens.

Authors:  Gabriel Costa Monteiro Moreira; Clarissa Boschiero; Aline Silva Mello Cesar; James M Reecy; Thaís Fernanda Godoy; Priscila Anchieta Trevisoli; Maurício E Cantão; Mônica Corrêa Ledur; Adriana Mércia Guaratini Ibelli; Jane de Oliveira Peixoto; Ana Silvia Alves Meira Tavares Moura; Dorian Garrick; Luiz Lehmann Coutinho
Journal:  BMC Genomics       Date:  2018-05-21       Impact factor: 3.969

5.  Analysis of the Progeny of Sibling Matings Reveals Regulatory Variation Impacting the Transcriptome of Immune Cells in Commercial Chickens.

Authors:  Lucy Freem; Kim M Summers; Almas A Gheyas; Androniki Psifidi; Kay Boulton; Amanda MacCallum; Rakhi Harne; Jenny O'Dell; Stephen J Bush; David A Hume
Journal:  Front Genet       Date:  2019-11-14       Impact factor: 4.599

6.  High-throughput and Cost-effective Chicken Genotyping Using Next-Generation Sequencing.

Authors:  Fábio Pértille; Carlos Guerrero-Bosagna; Vinicius Henrique da Silva; Clarissa Boschiero; José de Ribamar da Silva Nunes; Mônica Corrêa Ledur; Per Jensen; Luiz Lehmann Coutinho
Journal:  Sci Rep       Date:  2016-05-25       Impact factor: 4.379

7.  The Ensembl Variant Effect Predictor.

Authors:  William McLaren; Laurent Gil; Sarah E Hunt; Harpreet Singh Riat; Graham R S Ritchie; Anja Thormann; Paul Flicek; Fiona Cunningham
Journal:  Genome Biol       Date:  2016-06-06       Impact factor: 13.583

Review 8.  Blurred Lines: Pathogens, Commensals, and the Healthy Gut.

Authors:  Paul Wigley
Journal:  Front Vet Sci       Date:  2015-10-01
  8 in total

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