ArticleScientific reports2021
Genome-wide association analyses identify genotype-by-environment interactions of growth traits in Simmental cattle.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 38 citations in OpenAlex.
- The impacts of prenatal drought and heat stress on genetic parameter estimates for birth and weaning weights in Namibian Simmentaler and Simbra cattle.Journal of animal science · 2026Article
- Modeling genotype-by-environment interactions across climatic conditions reveals environment-specific genomic regions and candidate genes underlying feed efficiency traits in tropical beef cattle.Scientific reports · 2026Article
- Signature of Selection Analysis Reveals Candidate Genes Related to Climate Adaptation and Production Traits in Lao Native Goats.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Polymorphism ofAnimal biotechnology · 2025Article
- Genome-Wide Association Studies of Growth and Carcass Traits in Charolais Cattle Based on High-Coverage Whole-Genome Resequencing.International journal of molecular sciences · 2025Article
- Constructing a draft Indian cattle pangenome using short-read sequencing.Communications biology · 2025Article
- Genome-Wide Association Study as an Efficacious Approach to Discover Candidate Genes Associated with Body Linear Type Traits in Dairy Cattle.Animals : an open access journal from MDPI · 2024Review
- Genome-Wide Gene-Environment Interaction Analysis Identifies Novel Candidate Variants for Growth Traits in Beef Cattle.Animals : an open access journal from MDPI · 2024Article
- Genomic Inbreeding and Runs of Homozygosity Analysis of Cashmere Goat.Animals : an open access journal from MDPI · 2024Article
- Detecting genetic effects on phenotype variability to capture gene-by-environment interactions: a systematic method comparison.G3 (Bethesda, Md.) · 2024Review
- Uncovering the architecture of selection in twoEvolutionary applications · 2024Article
- Genomic regions and biological mechanisms underlying climatic resilience traits derived from automatically-recorded vaginal temperature in lactating sows under heat stress conditions.Frontiers in genetics · 2024Article
- Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds.Journal of animal science and biotechnology · 2023Article
- Article
- Genome-Wide Association Study for Udder Conformation Traits in Chinese Holstein Cattle.Animals : an open access journal from MDPI · 2022Article
- Genome-wide association and genotype by environment interactions for growth traits in U.S. Red Angus cattle.BMC genomics · 2022Article
- Genome-Wide Association Study for Lactation Performance in the Early and Peak Stages of Lactation in Holstein Dairy Cows.Animals : an open access journal from MDPI · 2022Article
- G × EBLUP: A novel method for exploring genotype by environment interactions and genomic prediction.Frontiers in genetics · 2022Article
- The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock.Animals : an open access journal from MDPI · 2021Review
- Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding genotype-by-environment interactions (G × E) is crucial to understand environmental adaptation in mammals and improve the sustainability of agricultural production. Here, we present an extensive study investigating the interaction of genome-wide SNP markers with a vast assortment of environmental variables and searching for SNPs controlling phenotypic variance (vQTL) using a large beef cattle dataset. We showed that G × E contribute 10.1%, 3.8%, and 2.8% of the phenotypic variance of birth weight, weaning weight, and yearling weight, respectively. G × E genome-wide association analysis (GWAA) detected a large number of G × E loci affecting growth traits, which the traditional GWAA did not detect, showing that functional loci may have non-additive genetic effects regardless of differences in genotypic means. Further, variance-heterogeneity GWAA detected loci enriched with G × E effects without requiring prior knowledge of the interacting environmental factors. Functional annotation and pathway analysis of G × E genes revealed biological mechanisms by which cattle respond to changes in their environment, such as neurotransmitter activity, hypoxia-induced processes, keratinization, hormone, thermogenic and immune pathways. We unraveled the relevance and complexity of the genetic basis of G × E underlying growth traits, providing new insights into how different environmental conditions interact with specific genes influencing adaptation and productivity in beef cattle and potentially across mammals.
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