ArticleBMC genetics2019
Genome-wide association study and scan for signatures of selection point to candidate genes for body temperature maintenance under the cold stress in Siberian cattle populations.
Article in BMC genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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.
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.
Who cites it
25 citing papers in PubMed, 44 citations in OpenAlex.
- Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Genetic Diversification and Population Admixture Signatures in Yunnan Native Cattle.Animals : an open access journal from MDPI · 2026Article
- The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution.Animals : an open access journal from MDPI · 2026Review
- Disentangling mature cow weight and body condition score: a comparative single-step GWAS of phenotypic pre-adjustment vs. recursive modeling.Journal of animal science · 2026Article
- Positive selection on rare variants of IGF1R and BRD4 underlying the cold adaptation of wild boar.Genetics, selection, evolution : GSE · 2025Article
- Genetic advancements and future directions in ruminant livestock breeding: from reference genomes to multiomics innovations.Science China. Life sciences · 2025Review
- Potential Genetic Markers Associated with Environmental Adaptability in Herbivorous Livestock.Animals : an open access journal from MDPI · 2025Review
- Genomic insights into Yak (Bos grunniens) adaptations for nutrient assimilation in high-altitudes.Scientific reports · 2024Article
- Signatures of selection in Angus and Hanwoo beef cattle using imputed whole genome sequence data.Frontiers in genetics · 2024Article
- Genome-Wide Association Studies for Body Conformation Traits in Korean Holstein Population.Animals : an open access journal from MDPI · 2023Article
- Global dispersal and adaptive evolution of domestic cattle: a genomic perspective.Stress biology · 2023Review
- Genomic adaptation to extreme climate conditions in beef cattle as a consequence of cross-breeding program.BMC genomics · 2023Article
- Deciphering local adaptation of native Indian cattle (3 Biotech · 2023Article
- Analysis of runs of homozygosity of cattle living in different climate zones.Journal of animal science · 2023Article
- Signatures of selection in indigenous Chinese cattle genomes reveal adaptive genes and genetic variations to cold climate.Journal of animal science · 2023Article
- Candidate genes associated with heat stress and breeding strategies to relieve its effects in dairy cattle: a deeper insight into the genetic architecture and immune response to heat stress.Frontiers in veterinary science · 2023Review
- Selection signatures for heat tolerance in Brazilian horse breeds.Molecular genetics and genomics : MGG · 2022Article
- Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences.PloS one · 2022Article
- The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock.Animals : an open access journal from MDPI · 2021Review
- Whole-Genome Resequencing Points to Candidate DNA Loci Affecting Body Temperature under Cold Stress in Siberian Cattle Populations.Life (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDesign of new highly productive livestock breeds, well-adapted to local climatic conditions is one of the aims of modern agriculture and breeding. The genetics underlying economically important traits in cattle are widely studied, whereas our knowledge of the genetic mechanisms of adaptation to local environments is still scarce. To address this issue for cold climates we used an integrated approach for detecting genomic intervals related to body temperature maintenance under acute cold stress. Our approach combined genome-wide association studies (GWAS) and scans for signatures of selection applied to a cattle population (Hereford and Kazakh Whiteheaded beef breeds) bred in Siberia. We utilized the GGP HD150K DNA chip containing 139,376 single nucleotide polymorphism markers.
resultsWe detected a single candidate region on cattle chromosome (BTA)15 overlapping between the GWAS results and the results of scans for selective sweeps. This region contains two genes, MSANTD4 and GRIA4. Both genes are functional candidates to contribute to the cold-stress resistance phenotype, due to their indirect involvement in the cold shock response (MSANTD4) and body thermoregulation (GRIA4).
conclusionsOur results point to a novel region on BTA15 which is a candidate region associated with the body temperature maintenance phenotype in Siberian cattle. The results of our research and the follow up studies might be used for the development of cattle breeds better adapted to cold climates of the Russian Federation and other Northern countries with similar climates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.