Literature DB >> 25872325

Genetic selection of cattle for improved immunity and health.

Bonnie A Mallard, Mehdi Emam, Marlene Paibomesai, Kathleen Thompson-Crispi, Lauraine Wagter-Lesperance.   

Abstract

The immune system is a sensing structure composed of tissues and molecules that are well integrated with the neuroendocrine system. This integrate system ensures non-self from self-discrimination. In this capacity the immune system provides detection and protection from a wide range of pathogens. In mammals, the immune system is regulated by several thousand genes (8-9% of the genome) which indicate its high genetic priority as a critical fitness trait providing survival of the species. Identifying and selectively breeding livestock with the inherent ability to make superior immune responses can reduce disease occurrence, improve milk quality and increase farm profitability. Healthier animals also may be expected to demonstrate improvements in other traits, including reproductive fitness. Using the University of Guelph's patented High Immune Response technology it is possible to classify animals as high, average, or low responders based on their genetic estimated breeding value for immune responsiveness. High responders have the inherent ability to produce more balanced and robust immune responses compared with average or low responders. High responders dairy cattle essentially have about one-half the disease occurrence of low responders, and can pass their superior immune response genes on to future generations thereby accumulating health benefits within the dairy herd.

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Year:  2015        PMID: 25872325

Source DB:  PubMed          Journal:  Jpn J Vet Res        ISSN: 0047-1917            Impact factor:   0.649


  10 in total

1.  Ruminant-specific retrotransposons shape regulatory evolution of bovine immunity.

Authors:  Conor J Kelly; Carol G Chitko-McKown; Edward B Chuong
Journal:  Genome Res       Date:  2022-08-10       Impact factor: 9.438

2.  New composite traits for joint improvement of milk and fertility trait in Holstein dairy cow.

Authors:  Heydar Ghiasi; Dariusz Piwczyński; Beata Sitkowska; Oscar González-Recio
Journal:  Anim Biosci       Date:  2021-03-02

Review 3.  Use of Genomic Tools to Improve Cattle Health in the Context of Infectious Diseases.

Authors:  Mikolaj M Raszek; Le L Guan; Graham S Plastow
Journal:  Front Genet       Date:  2016-03-07       Impact factor: 4.599

4.  Immuno-phenotyping of Canadian beef cattle: adaptation of the high immune response methodology for utilization in beef cattle.

Authors:  Nasrin Husseini; Shannon C Beard; Douglas C Hodgins; Christy Barnes; Elfleda Chik; Bonnie A Mallard
Journal:  Transl Anim Sci       Date:  2022-01-27

5.  Single Nucleotide Polymorphisms, Gene Expression and Economic Evaluation of Parameters Associated with Mastitis Susceptibility in European Cattle Breeds.

Authors:  Ahmed I Ateya; Samer S Ibrahim; Mona M Al-Sharif
Journal:  Vet Sci       Date:  2022-06-14

Review 6.  Immunoceuticals: Harnessing Their Immunomodulatory Potential to Promote Health and Wellness.

Authors:  Sophie Tieu; Armen Charchoglyan; Lauri Wagter-Lesperance; Khalil Karimi; Byram W Bridle; Niel A Karrow; Bonnie A Mallard
Journal:  Nutrients       Date:  2022-09-30       Impact factor: 6.706

7.  Evaluation of candidate genotype of immune gene MBL1 associated with udder health and performance traits in dairy cattle and buffalo of India.

Authors:  Ankit Magotra; B L Pander; D S Dalal; B S Malik; Asha Rani Garg; Anika Malik
Journal:  Trop Anim Health Prod       Date:  2021-08-05       Impact factor: 1.559

8.  Associations between immune competence phenotype and feedlot health and productivity in Angus cattle.

Authors:  Brad C Hine; Amy M Bell; Dominic D O Niemeyer; Christian J Duff; Nick M Butcher; Sonja Dominik; Laercio R Porto-Neto; Yutao Li; Antonio Reverter; Aaron B Ingham; Ian G Colditz
Journal:  J Anim Sci       Date:  2021-02-01       Impact factor: 3.159

9.  A genome-wide association study for natural antibodies measured in blood of Canadian Holstein cows.

Authors:  Britt de Klerk; Mehdi Emam; Kathleen A Thompson-Crispi; Mehdi Sargolzaei; Johan J van der Poel; Bonnie A Mallard
Journal:  BMC Genomics       Date:  2018-09-21       Impact factor: 3.969

10.  RNA-Seq Bayesian Network Exploration of Immune System in Bovine.

Authors:  Elham Behdani; Mostafa Ghaderi-Zefrehei; Farjad Rafeie; Mohammad Reza Bakhtiarizadeh; Hedayatollah Roshanfeker; Jamal Fayazi
Journal:  Iran J Biotechnol       Date:  2019-09-01       Impact factor: 1.671

  10 in total

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