Literature DB >> 16463964

Microsatellite markers associated with resistance to Marek's disease in commercial layer chickens.

J P McElroy1, J C M Dekkers, J E Fulton, N P O'Sullivan, M Soller, E Lipkin, W Zhang, K J Koehler, S J Lamont, H H Cheng.   

Abstract

The objective of the current study was to identify QTL conferring resistance to Marek's disease (MD) in commercial layer chickens. To generate the resource population, 2 partially inbred lines that differed in MD-caused mortality were intermated to produce 5 backcross families. Vaccinated chicks were challenged with very virulent plus (vv+) MD virus strain 648A at 6 d and monitored for MD symptoms. A recent field isolate of the MD virus was used because the lines were resistant to commonly used older laboratory strains. Selective genotyping was employed using 81 microsatellites selected based on prior results with selective DNA pooling. Linear regression and Cox proportional hazard models were used to detect associations between marker genotypes and survival. Significance thresholds were validated by simulation. Seven and 6 markers were significant based on proportion of false positive and false discovery rate thresholds less than 0.2, respectively. Seventeen markers were associated with MD survival considering a comparison-wise error rate of 0.10, which is about twice the number expected by chance, indicating that at least some of the associations represent true effects. Thus, the present study shows that loci affecting MD resistance can be mapped in commercial layer lines. More comprehensive studies are under way to confirm and extend these results.

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Year:  2005        PMID: 16463964     DOI: 10.1093/ps/84.11.1678

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


  11 in total

1.  Mapping quantitative trait loci affecting susceptibility to Marek's disease virus in a backcross population of layer chickens.

Authors:  E M Heifetz; J E Fulton; N P O'Sullivan; J A Arthur; J Wang; J C M Dekkers; M Soller
Journal:  Genetics       Date:  2007-12       Impact factor: 4.562

2.  MicroRNA profile of Marek's disease virus-transformed T-cell line MSB-1: predominance of virus-encoded microRNAs.

Authors:  Yongxiu Yao; Yuguang Zhao; Hongtao Xu; Lorraine P Smith; Charles H Lawrie; Michael Watson; Venugopal Nair
Journal:  J Virol       Date:  2008-02-06       Impact factor: 5.103

3.  Systems analysis of immune responses in Marek's disease virus-infected chickens identifies a gene involved in susceptibility and highlights a possible novel pathogenicity mechanism.

Authors:  Jacqueline Smith; Jean-Remy Sadeyen; Ian R Paton; Paul M Hocking; Nigel Salmon; Mark Fife; Venugopal Nair; David W Burt; Pete Kaiser
Journal:  J Virol       Date:  2011-08-24       Impact factor: 5.103

4.  Genome-Wide Identification and Quantification of cis- and trans-Regulated Genes Responding to Marek's Disease Virus Infection via Analysis of Allele-Specific Expression.

Authors:  Sean Maceachern; William M Muir; Seth D Crosby; Hans H Cheng
Journal:  Front Genet       Date:  2012-01-13       Impact factor: 4.599

5.  Transcriptional profiling of mEq-dependent genes in Marek's disease resistant and susceptible inbred chicken lines.

Authors:  Sugalesini Subramaniam; Likit Preeyanon; Hans H Cheng
Journal:  PLoS One       Date:  2013-10-21       Impact factor: 3.240

6.  Macrophages from Susceptible and Resistant Chicken Lines have Different Transcriptomes following Marek's Disease Virus Infection.

Authors:  Pankaj Chakraborty; Richard Kuo; Lonneke Vervelde; Bernadette M Dutia; Pete Kaiser; Jacqueline Smith
Journal:  Genes (Basel)       Date:  2019-01-22       Impact factor: 4.096

7.  Development and optimization of a hybridization technique to type the classical class I and class II B genes of the chicken MHC.

Authors:  Nicola D Potts; Coraline Bichet; Laurence Merat; Edouard Guitton; Andrew P Krupa; Terry A Burke; Lorna J Kennedy; Gabriele Sorci; Jim Kaufman
Journal:  Immunogenetics       Date:  2019-11-25       Impact factor: 2.846

8.  Expression pattern of genes of RLR-mediated antiviral pathway in different-breed chicken response to Marek's disease virus infection.

Authors:  Ze-Qing Feng; Ting Lian; Yong Huang; Qing Zhu; Yi-Ping Liu
Journal:  Biomed Res Int       Date:  2013-04-08       Impact factor: 3.411

9.  Genome-wide identification of copy number variations between two chicken lines that differ in genetic resistance to Marek's disease.

Authors:  Yiyuan Yan; Ning Yang; Hans H Cheng; Jiuzhou Song; Lujiang Qu
Journal:  BMC Genomics       Date:  2015-10-23       Impact factor: 3.969

10.  Identification and characterisation of microsatellite DNA markers in order to recognise the WSSV susceptible populations of marine giant black tiger shrimp, Penaeus monodon.

Authors:  Usri Chakrabarty; Sourav Dutta; Ajoy Mallik; Debabrata Mondal; Nripendranath Mandal
Journal:  Vet Res       Date:  2015-09-25       Impact factor: 3.683

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