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Biology subjects

Javaheri Tehrani, S.

Publications and source records attributed to Javaheri Tehrani, S..

2 recordsLinked to original sources

An introgressed haplotype decouples phenotype from genome-wide ancestry

Introgression redistributes genetic variation among diverging lineages, shaping evolution-ary trajectories and contributing to phenotypic evolution. Yet how localized introgressed genomic regions persist despite extensive genomic homogenization remains poorly under-stood. Here, we investigate the evolutionary history of the northeastern Iranian great tit (Parus major intermedius), a grey-plumaged member of the great tit complex occurring at the eastern range margin of the green- and yellow-plumaged major lineage, adjacent to the grey-plumaged Central Asian bokharensis lineage, and long regarded as a putative hybrid. We find that P. m. intermedius retains predominantly major-derived genomic ancestry despite its grey plumage, revealing extensive genomic homogenization across the genome. Surprisingly, a single localized introgressed haplotype on chromosome 24 retains bokharensis-derived ancestry, exhibits elevated genomic differentiation relative to the genomic background, and overlaps the carotenoid-processing gene BCO2, a strong candidate underly-ing plumage pigmentation. Our findings provide a genomic explanation for the discordance between phenotype and genome-wide ancestry, demonstrating how localized introgression can preserve genomic regions associated with phenotypic divergence despite extensive genomic homogenization. This system illustrates how individual genomic regions can retain distinct evolutionary histories long after the surrounding genome has largely homogenized.

evolutionary biology↗

SwarmGenomics: A Unified Pipeline for Individual-Based Whole-Genome Analyses

Advances in sequencing technologies have made whole-genome data widely accessible, enabling research in population genetics, evolutionary biology, and conservation. However, analyzing whole-genome sequencing (WGS) data remains challenging, often requiring multiple specialized tools and substantial bioinformatics expertise. We present SwarmGenomics, a modular, user-friendly command-line pipeline for reference-based genome assembly and individual-based genetic analyses. The pipeline integrates seven modules: heterozygosity estimation, runs of homozygosity detection, Pairwise Sequentially Markovian Coalescent (PSMC) analysis, unmapped reads classification, repeat analysis, mitochondrial genome assembly, and nuclear mitochondrial DNA segment (NUMT) identification. Each module can be run independently or as part of a complete workflow. We demonstrate the pipelines utility with a case study on the giant panda (Ailuropoda melanoleuca), revealing insights into genetic diversity, inbreeding history, historical population size changes, transposable element activity, and microbial contamination. SwarmGenomics lowers the entry barrier for genomic analysis of diploid, non-model species, serving both as a research and teaching tool. The pipeline and documentation are available at https://github.com/AureKylmanen/Swarmgenomics.

genomics↗