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Coat color genetics successfully adapted and applied to different animal species, which provides a good demonstration of the concept of comparative genetics. In this study, we sequenced 945 bp fragments of () gene, 421 bp fragments of exon 1 of () gene and 266 bp fragments of exon 3 of () gene for 250 individuals with five plumage color patterns. We detected a total of three SNPs (T398A, T637C, and G920C) in and built six haplotypes (H1-H6) based on the three SNPs. H5 and H6 haplotypes were mainly concentrated in white and grey chicken. And diplotypes H2H3 occurred in white feather and black-speckle feather with the same frequency. Moreover, a total of three SNPs (C47G, T120C, and T172C) in were found and built six haplotypes (P1-P6) based on the three SNPs. Among them, haplotype P2, P3 and P6 were not occurred in black chicken, the diplotypes P1P6 and P4P6 were only distributed in white, gray and black-speckled feather. We only detected one SNP (T168C) in gene and found that genotype TT was advantage genotype in the different plumage color groups of chickens. Collectively, our study suggested an association between plumage color and genetic variation of , and in chicken.
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http://dx.doi.org/10.1007/s13205-019-1710-z | DOI Listing |
Mol Biol Rep
September 2025
Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, Kursk, 305041, Russia.
Background: The chaperoning system, which is responsible for protein homeostasis, plays a significant role in cardiovascular diseases. Among molecular chaperones or heat shock proteins (HSPs), the HSP40 family, the main co-chaperone of HSP70, remains largely underexplored, especially in ischemic heart disease (IHD) risk.
Materials And Results: We genotyped 834 IHD patients and 1,328 healthy controls for three SNPs (rs2034598 and rs7189628 DNAJA2 and rs4926222 DNAJB1) using probe-based real-time PCR.
Vet World
July 2025
Research Center for Applied Zoology, National Research and Innovation Agency, Republic of Indonesia, Bogor, Indonesia.
Background And Aim: The () gene plays a pivotal role in regulating growth, metabolism, and fat deposition in cattle. Genetic polymorphisms in this gene can influence phenotypic traits and may serve as molecular markers for selection in breeding programs. However, comprehensive characterization of gene variants in local Indonesian breeds, such as Madura cattle, remains limited.
View Article and Find Full Text PDFArch Esp Urol
August 2025
Department of Urology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, 214000 Wuxi, Jiangsu, China.
Background: A plethora of studies have demonstrated that the level of uric acid (UA) and gout are the risk factors for erectile dysfunction (ED). However, the causal effect of UA level and gout on ED is still unclear. This Mendelian randomization (MR) study aims to examine the bidirectional causality between ED and UA levels as well as gout.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, Bangladesh.
Background: Overexpression of rs3761936 of DCLRE1B gene has been observed in both breast cancer and cervical cancer patients. To justify the association of this polymorphism with these cancers, we performed this case-control study.
Method: A total of 245 cancer patients and 108 healthy controls participated in the research.
Front Genet
August 2025
Qingdao Agricultural University, Qingdao, China.
Introduction: Identifying genetic markers associated with economically important traits in dairy goats helps enhance breeding efficiency, thereby increasing industry value. However, the potential genetic structure of key economic traits in dairy goats is still largely unknown.
Methods: This study used three genome-wide association study (GWAS) models (GLM, MLM, FarmCPU) to analyze dairy goat milk production traits (milk yield, fat percentage, protein percentage, lactose percentage, ash percentage, total dry matter, and somatic cell count).