Genome-wide associations and functional gene analyses for endoparasite resistance in an endangered population of native German Black Pied cattle View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-04-08

AUTHORS

Katharina May, Carsten Scheper, Kerstin Brügemann, Tong Yin, Christina Strube, Paula Korkuć, Gudrun A. Brockmann, Sven König

ABSTRACT

BackgroundGastrointestinal nematodes (GIN), liver flukes (Fasciola hepatica) and bovine lungworms (Dictyocaulus viviparus) are the most important parasitic agents in pastured dairy cattle. Endoparasite infections are associated with reduced milk production and detrimental impacts on female fertility, contributing to economic losses in affected farms. In quantitative-genetic studies, the heritabilities for GIN and F. hepatica were moderate, encouraging studies on genomic scales. Genome-wide association studies (GWAS) based on dense single nucleotide polymorphism (SNP) marker panels allow exploration of the underlying genomic architecture of complex disease traits. The current GWAS combined the identification of potential candidate genes with pathway analyses to obtain deeper insights into bovine immune response and the mechanisms of resistance against endoparasite infections.ResultsA 2-step approach was applied to infer genome-wide associations in an endangered dual-purpose cattle subpopulation [Deutsches Schwarzbuntes Niederungsrind (DSN)] with a limited number of phenotypic records. First, endoparasite traits from a population of 1166 Black and White dairy cows [including Holstein Friesian (HF) and DSN] naturally infected with GIN, F. hepatica and D. viviparus were precorrected for fixed effects using linear mixed models. Afterwards, the precorrected phenotypes were the dependent traits (rFEC-GIN, rFEC-FH, and rFLC-DV) in GWAS based on 423,654 SNPs from 148 DSN cows. We identified 44 SNPs above the genome-wide significance threshold (pBonf = 4.47 × 10− 7), and 145 associations surpassed the chromosome-wide significance threshold (range: 7.47 × 10− 6 on BTA 1 to 2.18 × 10− 5 on BTA 28). The associated SNPs identified were annotated to 23 candidate genes. The DAVID analysis inferred four pathways as being related to immune response mechanisms or involved in host-parasite interactions. SNP effect correlations considering specific chromosome segments indicate that breeding for resistance to GIN or F. hepatica as measured by fecal egg counts is genetically associated with a higher risk for udder infections.ConclusionsWe detected a large number of loci with small to moderate effects for endoparasite resistance. The potential candidate genes regulating resistance identified were pathogen-specific. Genetic antagonistic associations between disease resistance and productivity were specific for specific chromosome segments. The 2-step approach was a valid methodological approach to infer genetic mechanisms in an endangered breed with a limited number of phenotypic records. More... »

PAGES

277

References to SciGraph publications

  • 2007-06. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls in NATURE
  • 1987-06. Environmental consequences of treating cattle with the antiparasitic drug ivermectin in NATURE
  • 2005-12-15. Quantitative trait loci for internal nematode resistance in sheep: a review in GENETICS SELECTION EVOLUTION
  • 2011-05-25. Diversity and dialogue in immunity to helminths in NATURE REVIEWS IMMUNOLOGY
  • 2008-12-18. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources in NATURE PROTOCOLS
  • 2011-12-06. Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets in HUMAN GENETICS
  • 2009-11-24. Accuracy of genomic breeding values in multi-breed dairy cattle populations in GENETICS SELECTION EVOLUTION
  • 2011-09-18. Genomic regions showing copy number variations associate with resistance or susceptibility to gastrointestinal nematodes in Angus cattle in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2003-09. Immune Regulation by helminth parasites: cellular and molecular mechanisms in NATURE REVIEWS IMMUNOLOGY
  • 2009-07-23. Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt in NATURE PROTOCOLS
  • 2003-04. The role of PI3K in immune cells in NATURE IMMUNOLOGY
  • 2014-04-10. A genome-wide survey reveals a deletion polymorphism associated with resistance to gastrointestinal nematodes in Angus cattle in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2014-07-13. Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle in NATURE GENETICS
  • 2009-03-02. Mapping QTL influencing gastrointestinal nematode burden in Dutch Holstein-Friesian dairy cattle in BMC GENOMICS
  • 2013-03-20. Genome-wide association and regional heritability mapping to identify loci underlying variation in nematode resistance and body weight in Scottish Blackface lambs in HEREDITY
  • 2010-12-03. Initial analysis of copy number variations in cattle selected for resistance or susceptibility to intestinal nematodes in MAMMALIAN GENOME
  • 1986-08. Effects of steroids and steroid synthesis inhibitors on fecundity ofSchistosoma mansoni in vitro in JOURNAL OF CHEMICAL ECOLOGY
  • 2012-02-07. The immune response to parasitic helminths of veterinary importance and its potential manipulation for future vaccine control strategies in PARASITOLOGY RESEARCH
  • 2012-12-07. Joint genomic evaluation of French dairy cattle breeds using multiple-trait models in GENETICS SELECTION EVOLUTION
  • 2006-01-04. Quantitative trait loci associated with parasitic infection in Scottish blackface sheep in HEREDITY
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    http://scigraph.springernature.com/pub.10.1186/s12864-019-5659-4

    DOI

    http://dx.doi.org/10.1186/s12864-019-5659-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1113300154

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30961534


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        "description": "BackgroundGastrointestinal nematodes (GIN), liver flukes (Fasciola hepatica) and bovine lungworms (Dictyocaulus viviparus) are the most important parasitic agents in pastured dairy cattle. Endoparasite infections are associated with reduced milk production and detrimental impacts on female fertility, contributing to economic losses in affected farms. In quantitative-genetic studies, the heritabilities for GIN and F. hepatica were moderate, encouraging studies on genomic scales. Genome-wide association studies (GWAS) based on dense single nucleotide polymorphism (SNP) marker panels allow exploration of the underlying genomic architecture of complex disease traits. The current GWAS combined the identification of potential candidate genes with pathway analyses to obtain deeper insights into bovine immune response and the mechanisms of resistance against endoparasite infections.ResultsA 2-step approach was applied to infer genome-wide associations in an endangered dual-purpose cattle subpopulation [Deutsches Schwarzbuntes Niederungsrind (DSN)] with a limited number of phenotypic records. First, endoparasite traits from a population of 1166 Black and White dairy cows [including Holstein Friesian (HF) and DSN] naturally infected with GIN, F. hepatica and D. viviparus were precorrected for fixed effects using linear mixed models. Afterwards, the precorrected phenotypes were the dependent traits (rFEC-GIN, rFEC-FH, and rFLC-DV) in GWAS based on 423,654 SNPs from 148 DSN cows. We identified 44 SNPs above the genome-wide significance threshold (pBonf\u2009=\u20094.47\u2009\u00d7\u200910\u2212\u20097), and 145 associations surpassed the chromosome-wide significance threshold (range: 7.47\u2009\u00d7\u200910\u2212\u20096 on BTA 1 to 2.18\u2009\u00d7\u200910\u2212\u20095 on BTA 28). The associated SNPs identified were annotated to 23 candidate genes. The DAVID analysis inferred four pathways as being related to immune response mechanisms or involved in host-parasite interactions. SNP effect correlations considering specific chromosome segments indicate that breeding for resistance to GIN or F. hepatica as measured by fecal egg counts is genetically associated with a higher risk for udder infections.ConclusionsWe detected a large number of loci with small to moderate effects for endoparasite resistance. The potential candidate genes regulating resistance identified were pathogen-specific. Genetic antagonistic associations between disease resistance and productivity were specific for specific chromosome segments. The 2-step approach was a valid methodological approach to infer genetic mechanisms in an endangered breed with a limited number of phenotypic records.", 
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    35 schema:description BackgroundGastrointestinal nematodes (GIN), liver flukes (Fasciola hepatica) and bovine lungworms (Dictyocaulus viviparus) are the most important parasitic agents in pastured dairy cattle. Endoparasite infections are associated with reduced milk production and detrimental impacts on female fertility, contributing to economic losses in affected farms. In quantitative-genetic studies, the heritabilities for GIN and F. hepatica were moderate, encouraging studies on genomic scales. Genome-wide association studies (GWAS) based on dense single nucleotide polymorphism (SNP) marker panels allow exploration of the underlying genomic architecture of complex disease traits. The current GWAS combined the identification of potential candidate genes with pathway analyses to obtain deeper insights into bovine immune response and the mechanisms of resistance against endoparasite infections.ResultsA 2-step approach was applied to infer genome-wide associations in an endangered dual-purpose cattle subpopulation [Deutsches Schwarzbuntes Niederungsrind (DSN)] with a limited number of phenotypic records. First, endoparasite traits from a population of 1166 Black and White dairy cows [including Holstein Friesian (HF) and DSN] naturally infected with GIN, F. hepatica and D. viviparus were precorrected for fixed effects using linear mixed models. Afterwards, the precorrected phenotypes were the dependent traits (rFEC-GIN, rFEC-FH, and rFLC-DV) in GWAS based on 423,654 SNPs from 148 DSN cows. We identified 44 SNPs above the genome-wide significance threshold (pBonf = 4.47 × 10− 7), and 145 associations surpassed the chromosome-wide significance threshold (range: 7.47 × 10− 6 on BTA 1 to 2.18 × 10− 5 on BTA 28). The associated SNPs identified were annotated to 23 candidate genes. The DAVID analysis inferred four pathways as being related to immune response mechanisms or involved in host-parasite interactions. SNP effect correlations considering specific chromosome segments indicate that breeding for resistance to GIN or F. hepatica as measured by fecal egg counts is genetically associated with a higher risk for udder infections.ConclusionsWe detected a large number of loci with small to moderate effects for endoparasite resistance. The potential candidate genes regulating resistance identified were pathogen-specific. Genetic antagonistic associations between disease resistance and productivity were specific for specific chromosome segments. The 2-step approach was a valid methodological approach to infer genetic mechanisms in an endangered breed with a limited number of phenotypic records.
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