Literature DB >> 11214332

DNA microsatellites linked to quantitative trait loci affecting antibody response and survival rate in meat-type chickens.

N Yonash1, H H Cheng, J Hillel, D E Heller, A Cahaner.   

Abstract

Selection for immune response parameters may lead to improved general disease resistance. Because disease resistance and immune response are hard-to-measure quantitative traits with low to moderate heritability, they may respond more efficiently to marker-assisted selection (MAS) than to phenotypic selection. To detect DNA markers linked to quantitative trait loci (QTL) associated with immune response, a resource half-sib family of 160 backcross (BC1) and intercross (F2) birds was derived from a cross between two meat-type lines divergently selected for high or low antibody (Ab) response to Escherichia coli. By using 25 microsatellite DNA markers covering approximately 25% of the chicken genome, initial genotyping of 40% of the resource family was followed by complete genotyping of the entire family with four suggestive markers. Three of these markers exhibited significant association with immune response: (1) ADL0146 on Chromosome 2 associated with Ab to SRBC and Newcastle disease virus (NDV), (2) ADL0290 on linkage group 31 affecting Ab to NDV, and (3) ADL0298 on linkage group 34 associated with Ab to E. coli and survival. The family was also genotyped with five linked markers from two of the suggested regions, and interval mapping was applied. The results confirmed the significant effects, suggested the location of the QTL, and confirmed the genetic association between immune responses and disease resistance. These findings support the idea of improving poultry immunocompetence by MAS.

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Year:  2001        PMID: 11214332     DOI: 10.1093/ps/80.1.22

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


  5 in total

1.  Genome-wide association study of antibody level response to NDV and IBV in Jinghai yellow chicken based on SLAF-seq technology.

Authors:  Wenhao Wang; Tao Zhang; Genxi Zhang; Jinyu Wang; Kunpeng Han; Yongjuan Wang; Yinwen Zhang
Journal:  J Appl Genet       Date:  2015-01-15       Impact factor: 3.240

2.  Whole genome QTL mapping for growth, meat quality and breast meat yield traits in turkey.

Authors:  Muhammad L Aslam; John W M Bastiaansen; Richard P M A Crooijmans; Addie Vereijken; Martien A M Groenen
Journal:  BMC Genet       Date:  2011-07-11       Impact factor: 2.797

3.  The identification of loci for immune traits in chickens using a genome-wide association study.

Authors:  Lei Zhang; Peng Li; Ranran Liu; Maiqing Zheng; Yan Sun; Dan Wu; Yaodong Hu; Jie Wen; Guiping Zhao
Journal:  PLoS One       Date:  2015-03-30       Impact factor: 3.240

4.  Genome-wide association study of antibody response to Newcastle disease virus in chicken.

Authors:  Chenglong Luo; Hao Qu; Jie Ma; Jie Wang; Chunyu Li; Chunfen Yang; Xiaoxiang Hu; Ning Li; Dingming Shu
Journal:  BMC Genet       Date:  2013-05-10       Impact factor: 2.797

5.  Genetics and Genomic Regions Affecting Response to Newcastle Disease Virus Infection under Heat Stress in Layer Chickens.

Authors:  Perot Saelao; Ying Wang; Ganrea Chanthavixay; Rodrigo A Gallardo; Anna Wolc; Jack C M Dekkers; Susan J Lamont; Terra Kelly; Huaijun Zhou
Journal:  Genes (Basel)       Date:  2019-01-18       Impact factor: 4.096

  5 in total

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