Evidence map›Paper›PMID 40761012›Full record

ArticleJournal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie2026

Signature of Selection Analysis Reveals Candidate Genes Related to Climate Adaptation and Production Traits in Lao Native Goats.

Sang Van Le, Panoraia Alexandri, Julius H J van der Werf, Luisa Olmo, Stephen W Walkden-Brown, Sara de Las Heras-Saldana

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Article in Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie, 2026. 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
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Sang Van LeSchool of Environmental & Rural Science, University of New England, Armidale, Australia.ORCID https://orcid.org/0009-0000-9225-0813
Panoraia AlexandriAGBU, a Joint Venture of NSW Department of Primary Industries, University of New England, Armidale, Australia.
Julius H J van der WerfSchool of Environmental & Rural Science, University of New England, Armidale, Australia.
Luisa OlmoSchool of Environmental & Rural Science, University of New England, Armidale, Australia.
Stephen W Walkden-BrownSchool of Environmental & Rural Science, University of New England, Armidale, Australia.
Sara de Las Heras-SaldanaAGBU, a Joint Venture of NSW Department of Primary Industries, University of New England, Armidale, Australia.

Funding

Australian Centre for International Agricultural Research LS/2017/034
6 · The paper itself

Abstract

Detecting selection footprints offers valuable insight into evolutionary processes and the mechanisms underlying phenotypic diversity in selected traits. Domestication, natural and artificial selection, and breeding have produced indigenous goats well-adapted to their local environments, making them crucial genetic resources. Understanding the genetic foundation of these adaptations can guide the development of effective breeding strategies to preserve and improve local goat breeds. This study investigated selection signatures in Lao native goats using Illumina's Goat SNP50 BeadChip, analysing 420 Lao native goats, 87 goats from three Chinese breeds, and 51 Teddi goats from Pakistan as test populations. We applied the de-correlation composite multiple signals (DCMS) method, incorporating p values from nine statistical tests, including runs of homozygosity in the Lao goat population, and fixation index and cross-population extended haplotype homozygosity between Lao goats and test populations. Significant genomic regions were identified using a 0.05 threshold adjusted for multiple testing. Our results uncovered 24 genomic regions harbouring 68 unique-coding genes. Analysis revealed both annotated and novel candidate genes linked to a variety of characteristics, including adaptation to the tropical monsoon climate (e.g., ABHD6, GATA4 and MSRA) and economic traits like growth and status (e.g., CNTNAP5, FAM135B and GATA4), reproduction (e.g., NPHP3, ARSJ and GATA4), milk production (e.g., MRPL32, PRSS51 and EPHA7), and carcass characteristics (e.g., GNAI1, SOX7 and FAM135B). These results offered insightful information about genetic mechanisms driving economic traits and tropical climate adaptation of Lao native goats. Combining p values from various statistical tests into a single DCMS framework effectively assists in selecting and prioritising candidate genes for further analysis.

Indexed as

Adaptation, PhysiologicalGoatsSelection, GeneticAnimalsBreedingClimateFemaleHaplotypesLaosPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID40761012
PMCPMC12686773

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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.