Publications by authors named "Tania Mahmood"
Article Synopsis
- Population geneticists are studying how natural and artificial selection has shaped the goat genome, especially in Pakistani Dera-Din-Panah (DDP) goats, to enhance our understanding of their genetic potential.
- Whole-genome pooled sequencing identified significant selection signals across several chromosomes, leading to 364 candidate genes related to traits like meat production, immunity, and reproduction.
- The validation of these selections through various statistical methods and subsequent gene ontology analysis provided insights into the biological processes related to the valuable traits in this goat breed.
Background: Natural and artificial selection tend to cause variability that contributes to shape the genome of livestock in a way that differentiates them among the animal kingdom. The particular aim here is to identify positive selection signatures with whole genome pooled-sequence data of Pakistani Teddy goat.
Methods And Results: Paired-end alignment of 635,357,043 reads of Teddy goat with (ARS1) reference genome assembly was carried out.
Initially submitted 784 SARS-nCoV2 whole genome sequences on NCBI Virus database were selected for phylogenetic analysis to look into their similarities with two of Pakistani sequenced coronavirus strains having accessions of MT240479 and MT262993. The MT240479 named (Gilgit1-Pak) was found in close proximity to MT184913 named (CruiseA-USA), while MT262993 named (Manga-Pak) was in neighboring to MT039887 named (WI-USA) strain, which were further chosen for variant calling analysis along with reference genome NC_045512 as out-group to construct concluding cladogram and looked for evolutionary distance with PAUP software in this article. Aforementioned Pakistani strains each of having 29,836 bases were compared with MT263429 (WI-USA) of 29,889 bases and MT259229 (Wuhan-P.
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