Literature DB >> 18400148

Exploring the assumptions underlying genetic variation in host nematode resistance (Open Access publication).

Andrea Beate Doeschl-Wilson1, Dimitrios Vagenas, Ilias Kyriazakis, Stephen Christopher Bishop.   

Abstract

The wide range of genetic parameter estimates for production traits and nematode resistance in sheep obtained from field studies gives rise to much speculation. Using a mathematical model describing host - parasite interactions in a genetically heterogeneous lamb population, we investigated the consequence of: (i) genetic relationships between underlying growth and immunological traits on estimated genetic parameters for performance and nematode resistance, and (ii) alterations in resource allocation on these parameter estimates. Altering genetic correlations between underlying growth and immunological traits had large impacts on estimated genetic parameters for production and resistance traits. Extreme parameter values observed from field studies could only be reproduced by assuming genetic relationships between the underlying input traits. Altering preferences in the resource allocation had less pronounced effects on the genetic parameters for the same traits. Effects were stronger when allocation shifted towards growth, in which case worm burden and faecal egg counts increased and genetic correlations between these resistance traits and body weight became stronger. Our study has implications for the biological interpretation of field data, and for the prediction of selection response from breeding for nematode resistance. It demonstrates the profound impact that moderate levels of pleiotropy and linkage may have on observed genetic parameters, and hence on outcomes of selection for nematode resistance.

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Year:  2008        PMID: 18400148      PMCID: PMC2674900          DOI: 10.1186/1297-9686-40-3-241

Source DB:  PubMed          Journal:  Genet Sel Evol        ISSN: 0999-193X            Impact factor:   4.297


  11 in total

1.  The first step toward genetic selection for host tolerance to infectious pathogens: obtaining the tolerance phenotype through group estimates.

Authors:  Andrea B Doeschl-Wilson; Beatriz Villanueva; Ilias Kyriazakis
Journal:  Front Genet       Date:  2012-12-14       Impact factor: 4.599

2.  Modelling the consequences of targeted selective treatment strategies on performance and emergence of anthelmintic resistance amongst grazing calves.

Authors:  Zoe Berk; Yan C S M Laurenson; Andrew B Forbes; Ilias Kyriazakis
Journal:  Int J Parasitol Drugs Drug Resist       Date:  2016-11-16       Impact factor: 4.077

3.  The genetic basis for the selection of dairy goats with enhanced resistance to gastrointestinal nematodes.

Authors:  Felix Heckendorn; Anna Bieber; Steffen Werne; Anastasios Saratsis; Veronika Maurer; Chris Stricker
Journal:  Parasite       Date:  2017-08-09       Impact factor: 3.000

4.  Enhancing genetic disease control by selecting for lower host infectivity and susceptibility.

Authors:  Smaragda Tsairidou; O Anacleto; J A Woolliams; A Doeschl-Wilson
Journal:  Heredity (Edinb)       Date:  2019-01-16       Impact factor: 3.821

5.  Unfavorable genetic correlations between fecal egg count and milk production traits in the French blond-faced Manech dairy sheep breed.

Authors:  Sophie Aguerre; Jean-Michel Astruc; Andrés Legarra; Léa Bordes; Françoise Prevot; Christelle Grisez; Corinne Vial Novella; Francis Fidelle; Philippe Jacquiet; Carole Moreno-Romieux
Journal:  Genet Sel Evol       Date:  2022-02-16       Impact factor: 4.297

6.  Unravelling the relationship between animal growth and immune response during micro-parasitic infections.

Authors:  Andrea B Doeschl-Wilson; Will Brindle; Gerry Emmans; Ilias Kyriazakis
Journal:  PLoS One       Date:  2009-10-19       Impact factor: 3.240

7.  A consideration of resistance and tolerance for ruminant nematode infections.

Authors:  Stephen C Bishop
Journal:  Front Genet       Date:  2012-12-14       Impact factor: 4.599

8.  Indirect genetic effects and the spread of infectious disease: are we capturing the full heritable variation underlying disease prevalence?

Authors:  Debby Lipschutz-Powell; John A Woolliams; Piter Bijma; Andrea B Doeschl-Wilson
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

9.  A simulation model to investigate interactions between first season grazing calves and Ostertagia ostertagi.

Authors:  Zoe Berk; Stephen C Bishop; Andrew B Forbes; Ilias Kyriazakis
Journal:  Vet Parasitol       Date:  2016-05-07       Impact factor: 2.738

10.  A stochastic model to investigate the effects of control strategies on calves exposed to Ostertagia ostertagi.

Authors:  Zoe Berk; Yan C S M Laurenson; Andrew B Forbes; Ilias Kyriazakis
Journal:  Parasitology       Date:  2016-08-30       Impact factor: 3.234

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