Biology subjects

Sarwar, G.

Publications and source records attributed to Sarwar, G..

4 recordsLinked to original sources

bioRxiv2024

Complex genomic ancestry in southern regions and drivers of continental-level genetic diversity in the wolves of Asia

Gray wolves (Canis lupus) in Asia encompass most of the species global genetic diversity and many endangered populations. However, a clear understanding of the evolutionary history of wolves from many parts of Asia, especially southern regions, is lacking. We used 98 whole genomes of wolves sampled across Eurasia to better resolve their evolutionary history by investigating phylogenetic and gene flow histories across the genome, and to characterize their demographic history and genetic diversity. The strongest barriers to gene flow coincided with boundaries separating the three major extant wolf lineages - Indian, Tibetan, and Holarctic. Wolves in the central Asian mountain ranges belonged to the Holarctic lineage, and despite their geographic adjacency only share minimal ancestry with the Tibetan lineage. In contrast, wolves from eastern Asia share population-wide ancestry with the Tibetan lineage, which may reflect an unsampled lineage similar, but not exactly to, the modern-day Tibetan lineage. Wolves from southwestern Asia also share population-wide ancestry with the Indian lineage, likely due to old (>6kya) admixture events. Long-term historical declines over the last 100,000 years, geographic isolation, and recent inbreeding have resulted in the Indian and Tibetan wolves having some of the lowest levels of genetic diversity and highest realized genetic loads. In contrast, adjacent populations exhibit some of the highest genetic diversity, due in part to admixture along contact zones. Our study illustrates how using multiple approaches that consider heterogenous signals across the genome can more fully resolve the historical and contemporary processes that have led to present-day species diversity.

evolutionary biology↗

bioRxiv2021

Relationing of Labellum and Glossae Biomorphological characteristics of honeybee workers as breeding tool on honey collection potential of Apis mellifera L. honeybee colonies

This study focused on the correlation of honey collection Potential and the length and width of labellum and glossae in worker honey bees (Apis mellifera Ligustica). Sixty honeybee A. mellifera L. colonies were selected, among these 60 colonies, 3 worker bees were sampled from each colony total numbers of samples collected were 180 adult worker foraging bees. Fifteen colonies for each group were used to check the correlation of honey production with length of labellum, width of labellum, length of glossae and the width of glossae respectively. These worker bees were bought to the laboratory frozen, boiled, dissected and mounted on the slides. Measurements of the labellum length, labellum width, glossae length and glossae width were taken by the stereomicroscope with ocular micrometer at 0.8X magnification. Correlation values for the honey collectionand length and width of labellum and glossae were high and positive. These Results support the perception that worker bees with larger labellum and glossae have more ability for honey collection Potential. It is concluded that Biomorphological characters of labellum and glossae are significantly correlated with the honeycollection Potential in A. mellifera L.

zoology↗

bioRxiv2018

The contribution of parent-to-offspring transmission of telomeres to the heritability of telomere length in humans

Leukocyte telomere length (LTL) is a heritable trait with two potential sources of heritability (h2): inherited variation in non-telomeric regions (e.g., SNPs that influence telomere maintenance) and variability in the lengths of telomeres in gametes that produce offspring zygotes (i.e., \"direct\" inheritance). Prior studies of LTL h2 have not attempted to disentangle these two sources. Here, we use a novel approach for detecting the direct inheritance of telomeres by studying the association between identity-by-descent (IBD) sharing at chromosome ends and phenotypic similarity in LTL. We measured genome-wide SNPs and LTL for a sample of 5,069 Bangladeshi adults with substantial relatedness. For each of the 7,254 relative pairs identified, we used SNPs near the telomeres to estimate the number of chromosome ends shared IBD, a proxy for the number of telomeres shared IBD (Tshared). We then estimated the association between Tshared and the squared pairwise difference in LTL (({Delta}LTL)2) within various classes of relatives (siblings, avuncular, cousins, and distant), adjusting for overall genetic relatedness ({phi}). The association between Tshared and ({Delta}LTL)2 was inverse among all relative pair types. In a meta-analysis including all relative pairs ({phi} >0.05), the association between Tshared and ({Delta}LTL)2 (P=0.002) was stronger than the association between {phi} and ({Delta}LTL)2 (P=0.45). Our results provide strong evidence that telomere length (TL) in parental germ cells impacts TL in offspring cells and contributes to LTL h2 despite telomere \"reprogramming\" during embryonic development. Applying our method to larger studies will enable robust estimation of LTL h2 attributable to direction transmission.

genetics↗

bioRxiv2016

Co-occurring eQTLs and mQTLs: detecting shared causal variants and shared biological mechanisms

Inherited genetic variation impacts local gene expression and DNA methylation in humans. Expression and methylation quantitative trait loci (cis-eQTLs and cis-mQTLs) often occur at the same genomic location, suggesting a common causal variant and shared mechanism. Using DNA and RNA from peripheral blood of Bangladeshi individuals, we use \"co-localization\" methods to identify 3,695 eQTL-mQTL pairs that are likely to share a causal variant. Using partial correlation analysis and mediation analysis, we identify >500 pairs with evidence of a causal relationships between expression and methylation (i.e., shared mechanism) with many additional pairs that we are underpowered to detect. These co-localized pairs are enriched for SNPs showing opposite effects on expression and methylation, although a many affect multiple CpGs in opposite directions. Evidence of shared SNP-age interaction also supports shared mechanisms for two eQTL-mQTL pairs. This work demonstrates the pervasiveness of co-regulated expression and methylation traits in the human genome. This approach can be applied to other types of molecular QTLs to enhance our understanding of regulatory mechanisms.

genomics↗