Literature DB >> 28805915

Selection on resilience improves disease resistance and tolerance to infections.

H A Mulder, H Rashidi.   

Abstract

Response to infection in animals has 2 main mechanisms: resistance (ability to control pathogen burden) and tolerance (ability to maintain performance given the pathogen burden). Selection on disease resistance and tolerance to infections seems a promising avenue to increase productivity of animals in the presence of disease infections, but it is hampered by a lack of records of pathogen burden of infected animals. Selection on resilience (ability to maintain performance regardless of pathogen burden) may, therefore, be an alternative pragmatic approach, because it does not need records of pathogen burden. Therefore, the aim of this study was to assess response to selection in resistance and tolerance when selecting on resilience compared with direct selection on resistance and tolerance. Monte Carlo simulation was used combined with selection index theory to predict responses to selection. Using EBV for resilience in the absence of records for pathogen burden resulted in favorable responses in resistance and tolerance to infections, with higher responses in tolerance than in resistance. If resistance and tolerance were unfavorably correlated, lower selection responses were obtained, especially in resistance. When the genetic correlation was very unfavorable, the selection response in tolerance became negative. Results showed that lower selection responses in resistance and tolerance were obtained when the frequency of disease outbreaks was 10% rather than 50% of the contemporary groups. The efficiency of selection on EBV for resilience compared with selection on EBV for resistance and tolerance was, however, not affected by the frequency of disease outbreaks. When records on pathogen burden were available, selection responses in resistance, tolerance, and the total breeding goal were 3 to 28%, 66 to 398%, and 2 to 11% higher, respectively, than when using the EBV for resilience, showing a clear benefit of recording pathogen burden. This study shows that selection on resilience is a pragmatic way of increasing disease resistance and tolerance to infections in the absence of records on pathogen burden, but recording pathogen burden would yield higher selection responses in resistance and tolerance.

Entities:  

Mesh:

Year:  2017        PMID: 28805915     DOI: 10.2527/jas.2017.1479

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  14 in total

1.  Genomic study of the resilience of buffalo cows to a negative energy balance.

Authors:  Francisco Ribeiro de Araujo Neto; Jessica Cristina Gonçalves Dos Santos; Cherlynn Daniela da Silva Arce; Rusbel Raul Ascpilcueta Borquis; Daniel Jordan Abreu Dos Santos; Katia Cylene Guimarães; André Vieira do Nascimento; Henrique Nunes de Oliveira; Humberto Tonhati
Journal:  J Appl Genet       Date:  2022-01-25       Impact factor: 3.240

2.  Genetic analysis of disease resilience in wean-to-finish pigs from a natural disease challenge model.

Authors:  Jian Cheng; Austin M Putz; John C S Harding; Michael K Dyck; Frederic Fortin; Graham S Plastow; PigGen Canada; Jack C M Dekkers
Journal:  J Anim Sci       Date:  2020-08-01       Impact factor: 3.159

3.  Phenotypic and genetic variation in the response of chickens to Eimeria tenella induced coccidiosis.

Authors:  Kay Boulton; Matthew J Nolan; Zhiguang Wu; Androniki Psifidi; Valentina Riggio; Kimberley Harman; Stephen C Bishop; Pete Kaiser; Mitchell S Abrahamsen; Rachel Hawken; Kellie A Watson; Fiona M Tomley; Damer P Blake; David A Hume
Journal:  Genet Sel Evol       Date:  2018-11-21       Impact factor: 4.297

4.  Opportunities to Improve Resilience in Animal Breeding Programs.

Authors:  Tom V L Berghof; Marieke Poppe; Han A Mulder
Journal:  Front Genet       Date:  2019-01-14       Impact factor: 4.599

5.  Comparative analysis of host resistance to Sarcoptes scabiei var. cuniculi in two different rabbit breeds.

Authors:  Wenrui Wei; Yongjun Ren; Nengxing Shen; Hongyu Song; Jing Xu; Ruiqi Hua; Haojie Zhang; Christiana Angel; Xiaobin Gu; Liangde Kuang; Yue Xie; Xuerong Peng; Xiaohong Xie; Guangyou Yang
Journal:  Parasit Vectors       Date:  2019-11-08       Impact factor: 3.876

Review 6.  Breeding for disease resilience: opportunities to manage polymicrobial challenge and improve commercial performance in the pig industry.

Authors:  Xuechun Bai; Graham S Plastow
Journal:  CABI Agric Biosci       Date:  2022-01-15

7.  Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model.

Authors:  Xuechun Bai; Tianfu Yang; Austin M Putz; Zhiquan Wang; Changxi Li; Frédéric Fortin; John C S Harding; Michael K Dyck; Jack C M Dekkers; Catherine J Field; Graham S Plastow
Journal:  BMC Genomics       Date:  2021-07-13       Impact factor: 3.969

8.  Harnessing longitudinal information to identify genetic variation in tolerance of pigs to Porcine Reproductive and Respiratory Syndrome virus infection.

Authors:  Graham Lough; Andrew Hess; Melanie Hess; Hamed Rashidi; Oswald Matika; Joan K Lunney; Raymond R R Rowland; Ilias Kyriazakis; Han A Mulder; Jack C M Dekkers; Andrea Doeschl-Wilson
Journal:  Genet Sel Evol       Date:  2018-10-24       Impact factor: 4.297

9.  The genetic basis of natural antibody titers of young healthy pigs and relationships with disease resilience.

Authors:  Yulu Chen; Laura E Tibbs-Cortes; Carolyn Ashley; Austin M Putz; Kyu-Sang Lim; Michael K Dyck; Frederic Fortin; Graham S Plastow; Jack C M Dekkers; John C S Harding
Journal:  BMC Genomics       Date:  2020-09-22       Impact factor: 3.969

Review 10.  Why breed disease-resilient livestock, and how?

Authors:  Pieter W Knap; Andrea Doeschl-Wilson
Journal:  Genet Sel Evol       Date:  2020-10-14       Impact factor: 4.297

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.