To search polymorphic Y chromosome biallelic markers in Chinese Han population, and obtain their population genetic data. Genotyping of 23 biallelic markers on human Y chromosome (M7, M9, M50, M88, M89, M95, M111, M117, M119, M121, M122, M134, M159, M164, M175, M214, LINE1, MSY2, RPS4Y711, SRY465, IMS-JST164520, IMS-JST021354 and IMS-JST003305) were carried out in a sample of 160 unrelated Chinese male individuals living in Wuhan using fragment length discrepant allele specific PCR (FLDAS-PCR) and PAGE technique. In all 23 biallelic markers, genetic polymorphism were identified for 20 loci in Wuhan Han population except for M50, M159 and M164, and the ranges of gene diversity (GD) were 0.0126-0.4855. A total of 35 different haplogroups (Hg1-35) were observed and the haplogroup diversity (HD) was 0.9471. The haplogroups formed by 20 biallelic markers are highly polymorphic, and can be used in forensic science and population evolution studies.
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Ecol Evol
January 2025
Centre for Coastal Research, Department of Natural Sciences University of Agder Kristiansand Norway.
The genus in the North Atlantic comprises of long lived deep-waters species that have been extensively fished upon, and many stocks are severely depleted across the Atlantic. This is particularly evident for the species . In recent papers, cryptic species have been indicated within this genus and molecular markers are therefore needed to provide identification for the species, including the cryptic species as a basis for advice regarding management and rebuilding of the stocks.
View Article and Find Full Text PDFBiology (Basel)
November 2024
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
The aim of this work was to select InDel markers sufficient for human identification and to create a routine method for their genotyping. We analyzed the allele distribution of all known InDels in European, East Asian, South Asian, African, and American populations and selected markers whose minor allele frequency, MAF, was ≥ 0.30.
View Article and Find Full Text PDFPLoS One
December 2024
Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom.
Objective: A biallelic missense mutation in mitofusin 2 (MFN2) causes multiple symmetric lipomatosis and partial lipodystrophy, implicating disruption of mitochondrial fusion or interaction with other organelles in adipocyte differentiation, growth and/or survival. In this study, we aimed to document the impact of loss of mitofusin 1 (Mfn1) or 2 (Mfn2) on adipogenesis in cultured cells.
Methods: We characterised adipocyte differentiation of wildtype (WT), Mfn1-/- and Mfn2-/- mouse embryonic fibroblasts (MEFs) and 3T3-L1 preadipocytes in which Mfn1 or 2 levels were reduced using siRNA.
Indian J Med Res
November 2024
Department of Clinical Genetics, Christian Medical College, Vellore, Tamil Nadu, India.
Background & objectives Alkaptonuria (AKU) is an autosomal recessive disease wherein biallelic pathogenic variants in the homogentisate 1,2- dioxygenase (HGD) gene encoding the enzyme homogentisate 1,2 dioxygenase cause high levels of homogentisic acid (HGA) to circulate within the body leading to its deposition in connective tissues and excretion in urine. A homozygous splice donor variant (c.87+1G>A) has been identified to be the founder variant causing alkaptonuria among Narikuravars, a group of gypsies settled in Tamil Nadu.
View Article and Find Full Text PDFMol Ecol Resour
December 2024
Institute of Zoology, Zoological Society of London, London, UK.
In this computer note I introduce software, PopCluster, that implements a new likelihood method for unsupervised population structure analysis from marker data. To infer a coarse population structure, it assumes the mixture model and adopts a simulated annealing algorithm to make a maximum likelihood clustering analysis, partitioning the sampled individuals into a predefined number of clusters. To deduce a fine population structure, it further assumes the admixture model and employs an expectation maximisation algorithm to estimate individual admixture proportions.
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