Literature DB >> 11707308

Genomic tools to improve parasite resistance.

T S Sonstegard1, L C Gasbarre.   

Abstract

The natural genetic variability of the ruminant immune system provides a feasible means to control gastrointestinal (GI) parasite infection without anthelmintics. However, the paradigm of traditional selection has not been effectively applied to the moderately heritable traits of parasite resistance (h approximately equal to 0.3) due to the difficulty and expense of gathering accurate phenotypes in a commercial production setting. These characteristics make host traits related to GI nematode infection ideal candidates for genomics-based research. To initiate explanation of important allelic differences, economic trait loci (ETL) are being identified and mapped using a resource population of Angus cattle segregating for GI nematode resistance and susceptibility to the two most common nematode parasites of US cattle, Ostertagia ostertagi and Cooperia oncophora. The population is composed of five generations of half-sib progeny with complete phenotypic records produced from controlled infections. To detect the genomic locations of the three distinct phenotypic traits being expressed (innately immune, acquired immune, and immunologically non-responsive), genotypes have been generated for DNA markers (N=199) spaced at regular intervals (approximately 20cm intervals) throughout the entire genome (3000cm). Although initial ETL detection may be limited by half-sib family size, the unique structure of this population provides additional statistical power for refining map position of potential ETL. After allele frequency and contribution to phenotype are determined in this population, marker tests associated with ETL most beneficial for controlling parasite infection can be accurately used for selection. Comparative map and functional genomic information from humans and other species of biomedical importance will be utilized in further investigations to elucidate the genes underlying ETL.

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Year:  2001        PMID: 11707308     DOI: 10.1016/s0304-4017(01)00563-5

Source DB:  PubMed          Journal:  Vet Parasitol        ISSN: 0304-4017            Impact factor:   2.738


  6 in total

1.  Initial analysis of copy number variations in cattle selected for resistance or susceptibility to intestinal nematodes.

Authors:  George E Liu; Twain Brown; Deborah A Hebert; Maria Francesca Cardone; Yali Hou; Ratan K Choudhary; Jessica Shaffer; Chinwendu Amazu; Erin E Connor; Mario Ventura; Louis C Gasbarre
Journal:  Mamm Genome       Date:  2010-12-03       Impact factor: 2.957

2.  Genomic regions showing copy number variations associate with resistance or susceptibility to gastrointestinal nematodes in Angus cattle.

Authors:  Yali Hou; George E Liu; Derek M Bickhart; Lakshmi K Matukumalli; Congjun Li; Jiuzhou Song; Louis C Gasbarre; Curtis P Van Tassell; Tad S Sonstegard
Journal:  Funct Integr Genomics       Date:  2011-09-18       Impact factor: 3.410

3.  A genome-wide survey reveals a deletion polymorphism associated with resistance to gastrointestinal nematodes in Angus cattle.

Authors:  Lingyang Xu; Yali Hou; Derek M Bickhart; Jiuzhou Song; Curtis P Van Tassell; Tad S Sonstegard; George E Liu
Journal:  Funct Integr Genomics       Date:  2014-04-10       Impact factor: 3.410

4.  Box-Cox Transformation and Random Regression Models for Fecal egg Count Data.

Authors:  Marcos Vinícius Gualberto Barbosa da Silva; Curtis P Van Tassell; Tad S Sonstegard; Jaime Araujo Cobuci; Louis C Gasbarre
Journal:  Front Genet       Date:  2012-01-24       Impact factor: 4.599

5.  Characterization of the abomasal transcriptome for mechanisms of resistance to gastrointestinal nematodes in cattle.

Authors:  Robert W Li; Manuela Rinaldi; Anthony V Capuco
Journal:  Vet Res       Date:  2011-11-30       Impact factor: 3.683

6.  Genome-wide scan of gastrointestinal nematode resistance in closed Angus population selected for minimized influence of MHC.

Authors:  Eui-Soo Kim; Tad S Sonstegard; Marcos V G B da Silva; Louis C Gasbarre; Curtis P Van Tassell
Journal:  PLoS One       Date:  2015-03-24       Impact factor: 3.240

  6 in total

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