Evidence map›Paper›PMID 40999331›Full record

ArticleGenetics, selection, evolution : GSE2025

The genetic relationship between immune competence traits and micro-genetic environmental sensitivity of weight, fat, and muscle traits in Australian Angus cattle.

Mette D Madsen, Julius H J van der Werf, Aaron Ingham, Brad Hine, Antonio Reverter, Sam A Clark

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mette D MadsenSchool of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia. Mette.Madsen@une.edu.au.ORCID http://orcid.org/0000-0003-4997-6779
Julius H J van der WerfSchool of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.
Aaron InghamQueensland Biosecurity Precinct, Agriculture & Food, CSIRO, St Lucia, QLD, 4067, Australia.
Brad HineF.D. McMaster Laboratory, Agriculture & Food, CSIRO, Armidale, NSW, 2350, Australia.
Antonio ReverterQueensland Biosecurity Precinct, Agriculture & Food, CSIRO, St Lucia, QLD, 4067, Australia.
Sam A ClarkSchool of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving immune competence (IC) in livestock could reduce the incidence of disease and reliance on the use of antibiotics. In Australian Angus cattle, IC is a measure of an animal's combined ability to mount antibody and cell-mediated immune responses (AMIR and CMIR). Immune competence may affect traits such as growth and related phenotypes as well as the variability of such phenotypes. However, the genetic relationship between IC and genetic sensitivity to individual environments, measured as micro-genetic environmental sensitivity (GES), is yet to be reported. In this study the genetic parameters of, and correlations between, AMIR or CMIR and micro-GES of live weaning weight (WW) and ultrasound scan records of rib (RIB) and rump (RUMP) fat depth and eye muscle area (EMA) measured between 501 and 900 days of age were estimated. This was accomplished by fitting eight multivariate models with AMIR or CMIR and a double hierarchical generalised linear model on a production trait.

resultsThe heritabilities were 0.35 and 0.36 for AMIR and CMIR, respectively, and 0.25-0.70 for the production traits. The heritabilities and the genetic coefficient of variation of micro-GES of the production traits ranged from 0.01-0.04 and 18-82%, respectively, and were higher in RIB and RUMP than WW and EMA. The genetic correlations between AMIR and WW, RIB, RUMP, or EMA were -0.35 (SE 0.11), 0.11 (0.12), 0.06 (0.12) and -0.13 (0.12), respectively, while the genetic correlations between CMIR and WW, RIB, RUMP, or EMA were -0.26 (0.12), 0.15 (0.13), 0.16 (0.12) and 0.04 (0.13), respectively. The genetic correlations between IC and micro-GES of WW, RIB, RUMP or EMA were moderately negative to lowly positive and had large SEs rendering them non-significant.

conclusionsThe unfavourable genetic correlation between the IC traits and WW supports the hypothesis that mounting an effective immune response can direct resources away from growth when resources are limited. Based on the heritabilities and genetic coefficient of variation of micro-GES, selection to increase uniformity is possible for WW, RIB, RUMP and EMA. The standard errors of the genetic correlations between IC and micro-GES of the production traits were too large to draw any definite conclusions about their relationships. Standard errors are expected to reduce as more IC records are collected.

Indexed as

Adipose TissueBody WeightGene-Environment InteractionQuantitative Trait, HeritableAnimalsAustraliaCattleFemaleMaleMuscle, SkeletalPhenotype

Identifiers

PMID40999331
PMCPMC12465796

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.