Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Gene, Год журнала: 2025, Номер unknown, С. 149354 - 149354
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0BMC Genomics, Год журнала: 2024, Номер 25(1)
Опубликована: Июнь 17, 2024
Abstract Background Gangba sheep as a famous breed of Tibetan sheep, its wool color is mainly white and black. economically important high-quality raw material for blankets serge. However, relatively few studies have been conducted on the sheep. Results To fill this research gap, study an in-depth analysis two populations (black color) using whole genome resequencing to identify genetic variation associated with color. Utilizing PCA, Genetic Admixture, N-J Tree analyses, present revealed consistent relationship structure between black colored populations, which their history. Analysis selection signatures multiple methods (F ST , π ratio, Tajima's D), 370 candidate genes were screened in group (GBB vs GBW); among them, MC1R, MLPH, SPIRE2, RAB17, SMARCA4, IRF4, CAV1, USP7, TP53, MYO6, MITF, MC2R, TET2, NF1, JAK1, GABRR1 are melanin synthesis, delivery, distribution. The enrichment results identified 35 GO entries 19 KEGG pathways formation phenotype. 311 (GBW GBB); REST, POU2F1, ADCY10, CCNB1, EP300, BRD4, GLI3 SDHA interfering differentiation neural crest cells into melanocytes, affecting proliferation inhibiting synthesis. 31 22 Conclusions This provides information understanding mechanism Gangba, knowledge improving optimizing improvement selective breeding produce specific colors can meet demand diversity products textile market.
Язык: Английский
Процитировано
3International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(17), С. 9397 - 9397
Опубликована: Авг. 29, 2024
Hu sheep is a renowned prolific local breed in China, widely distributed across the country due to its excellent reproductive performance. Deciphering molecular mechanisms underlying high fecundity of crucial for improving litter size ewes. In this study, we genotyped 830 female using Illumina OvineSNP50 BeadChip and performed genetic diversity analysis, selection signature detection, genome-wide association study (GWAS) size. Our results revealed that population exhibits relatively diversity. A total 4927 runs homozygosity (ROH) segments were detected, with majority (74.73%) being short length. Different genomic inbreeding coefficients (
Язык: Английский
Процитировано
3Climate, Год журнала: 2024, Номер 13(1), С. 1 - 1
Опубликована: Дек. 24, 2024
Climate change is a global challenge that impacts rangeland and pastureland landscapes by inducing shifts in temperature variability, precipitation patterns, extreme weather events. These changes alter soil plant conditions, reducing forage availability chemical composition leading to nutritional stress cattle. This occurs when animals lack adequate water feed sources or these resources are insufficient quantity, composition, nutrient balance. Several strategies essential address impacts. Genetic selection, epigenetic biomarkers, exploration of memories present promising avenues for enhancing the resilience cattle populations improving adaptation environmental stresses. Remote sensing GIS technologies assist locating wet spots establish islands diversity high quality grazing amid ongoing climate challenges. Establishing functional improves quality, reduces carbon nitrogen footprints, provides nutrients bioactives, thus health, welfare, productivity. Real-time GPS collars coupled with accelerometers provide detailed data on movement activity, aiding livestock nutrition management while mitigating heat stress. Integrating may offer significant advantages facing changing world securing future production food system.
Язык: Английский
Процитировано
1Mammalian Genome, Год журнала: 2024, Номер 35(4), С. 577 - 599
Опубликована: Окт. 14, 2024
Язык: Английский
Процитировано
0Veterinary Sciences, Год журнала: 2024, Номер 11(12), С. 616 - 616
Опубликована: Дек. 2, 2024
The climate change-associated abnormal weather patterns negatively influences the productivity and performance of farm animals. Heat stress is major detrimental factor hampering production, causing substantial economic loss to livestock industry. Therefore, it important identify heat-tolerant breeds that can survive produce optimally in any given environment. To achieve this goal, a clearer understanding genetic differences underlying molecular mechanisms associated with change impacts heat tolerance are prerequisite. Adopting next-generation biotechnological statistical tools like whole transcriptome analysis, metagenome sequencing, bisulphite genome-wide association studies (GWAS), selection signatures provides an opportunity goal. Through these techniques, possible permanent markers for tolerance, by incorporating those marker-assisted breeding selection, target livestock. This review gives overview recent advancements assessing using such ‘omics’ approaches models. salient findings from research highlighted several candidate biomarkers have potential be incorporated into future heat-tolerance studies. Such could revolutionise production changing scenario support food demands growing human population.
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
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