Evidence map›Paper›PMID 38715151›Full record

ArticleJournal of animal science and biotechnology2024

Exploring the genetic control of sweat gland characteristics in beef cattle for enhanced heat tolerance.

Aakilah S Hernandez, Gabriel A Zayas, Eduardo E Rodriguez, Kaitlyn M Sarlo Davila, Fahad Rafiq, Andrea N Nunez, Cristiane Gonçalves Titto, Raluca G Mateescu

Abstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Aakilah S HernandezDepartment of Animal Science, North Carolina State University, Raleigh, NC, USA.
Gabriel A ZayasDepartment of Animal Sciences, University of Florida, Gainesville, FL, USA.
Eduardo E RodriguezDepartment of Animal Sciences, University of Florida, Gainesville, FL, USA.
Kaitlyn M Sarlo DavilaRuminant Diseases and Immunology Research Unit, National Animal Disease Centers, United States Department of Agriculture, 1920 Dayton Avenue, Ames, IA, 50010, USA.
Fahad RafiqDepartment of Animal Sciences, University of Florida, Gainesville, FL, USA.
Andrea N NunezDepartment of Animal Science, Iowa State, Ames, IA, USA.
Cristiane Gonçalves TittoSchool of Animal Sciences and Food Engineering, University of São Paulo, Av Duque de Caxias Norte 225, Pirassununga, Sao Paulo, 13635-900, Brazil.
Raluca G MateescuDepartment of Animal Sciences, University of Florida, Gainesville, FL, USA. raluca@ufl.edu.ORCID http://orcid.org/0000-0002-2661-1198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThermal stress in subtropical regions is a major limiting factor in beef cattle production systems with around $369 million being lost annually due to reduced performance. Heat stress causes numerous physiological and behavioral disturbances including reduced feed intake and decreased production levels. Cattle utilize various physiological mechanisms such as sweating to regulate internal heat. Variation in these traits can help identify genetic variants that control sweat gland properties and subsequently allow for genetic selection of cattle with greater thermotolerance.

methodsThis study used 2,401 Brangus cattle from two commercial ranches in Florida. Precise phenotypes that contribute to an animal's ability to manage heat stress were calculated from skin biopsies and included sweat gland area, sweat gland depth, and sweat gland length. All animals were genotyped with the Bovine GGP F250K, and BLUPF90 software was used to estimate genetic parameters and for Genome Wide Association Study.

resultsSweat gland phenotypes heritability ranged from 0.17 to 0.42 indicating a moderate amount of the phenotypic variation is due to genetics, allowing producers the ability to select for favorable sweat gland properties. A weighted single-step GWAS using sliding 10 kb windows identified multiple quantitative trait loci (QTLs) explaining a significant amount of genetic variation. QTLs located on BTA7 and BTA12 explained over 1.0% of genetic variance and overlap the ADGRV1 and CCDC168 genes, respectively. The variants identified in this study are implicated in processes related to immune function and cellular proliferation which could be relevant to heat management. Breed of Origin Alleles (BOA) were predicted using local ancestry in admixed populations (LAMP-LD), allowing for identification of markers' origin from either Brahman or Angus ancestry. A BOA GWAS was performed to identify regions inherited from particular ancestral breeds that might have a significant impact on sweat gland phenotypes.

conclusionsThe results of the BOA GWAS indicate that both Brahman and Angus alleles contribute positively to sweat gland traits, as evidenced by favorable marker effects observed from both genetic backgrounds. Understanding and utilizing genetic traits that confer better heat tolerance is a proactive approach to managing the impacts of climate change on livestock farming.

Indexed as

GWASHeritabilitySkinThermotolerance

Identifiers

PMID38715151
PMCPMC11077762

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.