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At least 19 recordsLinked to original sources
PubMed2025

Doubled Genomes, Divergent Fates: Genomic Insights Into Diversification in an Allotetraploid Cavefish.

Cave environments impose unique challenges that drive remarkable genetic and phenotypic changes in cave-dwelling organisms. In this study, we investigated the genomic basis of adaptation in the small eye golden-line fish (Sinocyclocheilus microphthalmus), an allotetraploid cavefish endemic to Guangxi, China. Using whole-genome resequencing data from 47 individuals across six cave locations, we examined how neutral and selective forces influence diversification. Our analyses uncovered significant population structure indicative of allopatric divergence, along with evidence of locus-specific selection contributing to genomic differentiation. We identified seven single outlier clusters (SOCs), each tied to the divergence of specific populations, underscoring the role of local processes in driving diversity. Genes associated with vision showed relaxed selection, likely reflecting adaptation to darkness, while positive selection on other loci revealed additional functional shifts. Notably, allopolyploidy was found to fuel divergence through subgenome-specific patterns and asymmetric evolution within SOCs and among homoeologs. Taken together, these findings provide valuable insights into mechanisms of cave evolution and illustrate how allotetraploid genomes can facilitate diversification, potentially contributing to speciation in extreme environments.

Animals↗
PubMed2025

Patterns of Genomic Divergence and Introgression in Two Primulina Hybrid Zones.

Hybrid zones have long been promoted as natural laboratories for understanding the mechanisms of speciation. Multiple or replicated hybrid zones are particularly informative, as they allow for assessing the consistency of genomic divergence and introgression across different environmental contexts and demographic histories, thereby improving our understanding of the factors that drive or hinder speciation on a broader scale. Here, using whole-genome resequencing data, we compare the patterns of genomic divergence and introgression in two Primulina hybrid zones. We found that genomic divergence in both hybrid zones is largely shaped by neutral processes, with only a few genomic regions showing signatures of balancing or lineage-specific selection. Genomic cline analyses identified numerous SNPs that showed significantly steeper clines and biased centres than the genome-wide expectation in both hybrid zones, consistent with the existence of reproductive barriers. Within regions of restricted gene flow, we identified 21 genes shared between the two hybrid zones. Annotation of gene function revealed that several genes are involved in reproductive processes. In addition, many zone-specific outlier loci were linked to genes associated with pollen and flower development, suggesting that these barriers may contribute to reproductive isolation under localised ecological conditions. Overall, these findings suggest that while certain reproductive barriers remain consistent across independent hybrid zones, others may be contingent on local environmental contexts. Our results demonstrate that both general and zone-specific mechanisms contribute to reproductive isolation in Primulina, providing empirical evidence that some genomic barriers recur across independent hybrid zones while others arise through localised adaptation.

Lamiales↗
PubMed2025

Genomic Divergence Shaped the Genetic Regulation of Meiotic Homologous Recombination in Brassica Allopolyploids.

The tight regulation of meiotic recombination between homologs is disrupted in Brassica AAC allotriploids, a genomic configuration that may have facilitated the formation of rapeseed (Brassica napus L.) ∼7,500 years ago. Indeed, the presence of the haploid C genome induces supernumerary crossovers between homologous A chromosomes with dramatically reshaped distribution. However, the genetic mechanisms driving this phenomenon and their divergence between nascent and established lineages remain unclear. To address these concerns, we generated hybrids carrying additional C chromosomes derived either from an established lineage of the allotetraploid B. napus or from its diploid progenitor B. oleracea. We then assessed recombination variation across twelve populations by mapping male meiotic crossovers using single nucleotide polymorphism markers evenly distributed across the sequenced A genome. Our findings reveal that the C09 chromosome of B. oleracea is responsible for the formation of additional crossovers near pericentromeric regions. Interestingly, its counterpart from an established lineage of B. napus shows no significant effect on its own, despite having a similar content of meiotic genes. However, we showed that the B. napus C09 chromosome influences crossover formation through inter-chromosomal epistatic interactions with other specific C chromosomes. These results provide new insights into the genetic regulation of homologous recombination in Brassica and emphasize the role of genomic divergence since the formation of the allopolyploid B. napus.

Meiosis↗
PubMed2026

The genetic control of rapid genome content divergence in Arabidopsis thaliana.

Genome evolution in eukaryotes is predominantly driven by the dynamics of repetitive sequences, which vary widely in both copy number and sequence composition. Rates of repeat evolution differ between and within species and are likely modulated by both genetics and environment. To uncover factors shaping the rate of genome content evolution, we analyzed 1,142 resequenced Arabidopsis thaliana genomes using a novel K-mer based approach to characterize genome content variation and identify hypervariable regions underlying differences in repeat abundance. We next treated repeat abundance as a quantitative trait and performed genome-wide association analyses across more than 400 repeat families to identify the genetic basis of copy number variation. Integrating these results through a meta-GWAS approach revealed both cis-acting variants and more than 50 trans-acting loci that regulate repeat abundance genome-wide. Cis-acting variation was predominantly localized to pericentromeric and centromeric regions, whereas trans-acting loci were enriched for candidate genes involved in DNA replication, DNA repair, DNA methylation regulation. Finally, we found evidence that purifying selection acts against mutations that accelerate genome content divergence, favoring alleles that constrain repeat expansion. Together, these findings provide new insights into the genetic architecture and evolutionary forces shaping genome evolution in A. thaliana and establish a framework for investigating these processes in other plant species.

Journal Article↗
PubMed2026

The genetic control of rapid genome content divergence in Arabidopsis thaliana.

Genome evolution in eukaryotes is predominantly driven by the dynamics of repetitive sequences, which vary widely in both copy number and sequence composition. Rates of repeat evolution differ between and within species and are likely modulated by both genetics and environment. To uncover factors shaping the rate of genome content evolution, we analyzed 1043 resequenced Arabidopsis thaliana genomes using a novel K-mer-based approach to characterize genome content variation and identify hypervariable regions underlying differences in repeat abundance. We next treated repeat abundance as a quantitative trait and performed genome-wide association analyses across more than 400 repeat families to identify the genetic basis of copy number variation. Integrating these results through a meta-GWAS approach revealed both cis-acting variants and more than 50 candidate trans-acting loci associated with repeat abundance genome-wide. Cis-acting variation was predominantly localized to pericentromeric and centromeric regions, whereas trans-acting loci were enriched for candidate genes involved in DNA replication, DNA repair, and DNA methylation regulation. The results are consistent with purifying selection acting against mutations that accelerate genome content divergence, favoring alleles that constrain repeat expansion. Together, these findings provide new insights into the genetic architecture and evolutionary forces shaping genome evolution in A. thaliana and establish a framework for investigating these processes in other plant species.

Arabidopsis↗
PubMed2025

Mapping Species Birth Across the Recombination Landscapes of Marine Snails.

Understanding the drivers of heterogeneous genomic divergence is essential for uncovering the mechanisms that generate and constrain biodiversity. The extent to which adaptation and speciation are facilitated by reorganisation of the recombination landscape remains untested in many systems. Marine ecosystems, with their dynamic and fluid habitats, offer a compelling context to investigate genomic divergence. In this study, we mapped genomic divergence and selection across recombination landscapes of parapatric marine snail sister species that we show have recently undergone secondary contact. Regions of reduced recombination were enriched for genes exhibiting signatures of negative selection, whereas regions of high recombination were associated with genes under putative positive selection. Notably, the recombination landscape of the population in parapatry of one species (Scurria viridula) differs markedly from that of the other population within this same species, highlighting the role of introgression in reshaping recombination landscapes. In the other species (Scurria zebrina), conservation of the recombination landscape and divergent selection among populations suggest trapping of beneficial allele combinations in regions of low recombination maintains the identity of this species. Among species, signals of divergence with gene flow consistently cluster within specific genomic regions characterised by high recombination rate variation among the populations of S. viridula. These results challenge traditional theoretical expectations of recombination evolution by showing that the causes of genomic divergence can be population-specific. This study demonstrates that recombination landscapes are key modulators of genomic divergence, with contemporary evolutionary shifts that could enable populations to adapt to distinct environments. Our findings provide new insights into the interplay between recombination, selection, and gene flow during speciation, underscoring the complexity of evolutionary trajectories in marine systems.

Genetic Introgression↗
PubMed2026

Landscape Genomics Reveals Divergent Adaptation Modes and Predicts Climate Vulnerability in Xinjiang Indigenous Sheep.

Climate change increasingly endangers precious indigenous sheep germplasm resources distributed across diverse Chinese landscapes, and systematically decoding their polygenic climate-adaptive genetic mechanisms is essential for targeted breed conservation and long-term sustainable pastoral production. Whole-genome resequencing data from 93 individuals covering six representative local sheep breeds were analyzed in this work. After filtering highly collinear climate variables, three mature landscape genomic approaches were jointly applied to identify environment-linked gene variants, while two predictive metrics across ten CMIP6 future climate scenarios quantified each breed's long-term adaptive risks. Six temperature- and water-related environmental factors jointly drove sheep population genetic differentiation, with temperature fluctuation indices showing markedly stronger explanatory power. Detected adaptive genes were significantly enriched in ion transport, energy metabolism and cellular stress response pathways. Future projections indicated western breeds (Bayinbuluke, Cele Black, Xiahe) face severe maladaptation risks under high-emission SSP370 scenarios by 2100, whereas central and eastern breeds possess much broader climate tolerance. This study systematically reveals the core genomic basis of ovine climate adaptation and quantifies distinct breed-specific climate vulnerability, providing solid reliable theoretical support for precision germplasm conservation and selective breeding of climate-resilient sheep varieties.

adaptive loci↗
PubMed2026

Molecular divergence and genomic composition of B chromosomes in the fish Cyphocharax modestus (Characiformes, Curimatidae).

B chromosomes are supernumerary elements that evolve from standard A chromosomes and are primarily composed of repetitive DNAs, yet their origin, diversification, and molecular composition remain poorly understood in most vertebrates. We investigated two allopatric populations of Cyphocharax modestus (Curimatidae) combining classical cytogenetics, comparative genomic hybridization (CGH), and comparative satellitomics to characterize the repetitive DNA landscape of its B chromosomes. While both populations exhibited a conserved karyotype of 2n=54 biarmed chromosomes, five individuals from the Batalha River (BR) carried supernumerary chromosomes, comprising two distinct variants: a C-positive B1 and an C-negative B2. Comparative satellitome analysis between 3B-carrying and B-lacking individuals identified 116 satellite DNAs (CmoSatDNAs), with the 3B library showing higher abundances of specific sequences. Fluorescence in situ hybridization (FISH) revealed that both B variants share two centromeric satellites (CmoSat01-192 and CmoSat02-108) with the A complement, while CmoSat58-47 was exclusively to B2. Minimum spanning tree analysis of CmoSat58-47 revealed B-exclusive haplotypes alongside haplotypes shared with B-lacking individuals, suggesting a recent origin for these chromosomes. CGH experiments further confirm the sequence sharing between the A and B chromosomes, supporting an intraspecific origin, and revealing substantial genomic differentiation among B variants.

Animals↗
PubMed2025

Strong but diffuse genetic divergence underlies differentiation in an incipient species of marine stickleback.

Understanding how lineages proceed along the "speciation continuum" and how species boundaries are maintained over time remain central questions in evolutionary biology. Populations early in the speciation process can give us detailed insight into the reproductive barriers that first initiate speciation. In this study, we explore the nature of genomic divergence between two sympatric marine stickleback ecotypes from Atlantic Canada, "whites" and "commons". Males of each ecotype exhibit distinct nuptial colorations, nesting habits, and parental care strategies. Using population genomic analyses of SNPs and copy number variants (CNVs; deletions and duplications) we show that whites and commons consistently form distinct populations. We uncover genomic differentiation in the white ecotype characteristic of an incipient species, showing extremely low genome-wide differentiation (FST) and very recent divergence (~1 kya). Demographic analysis detected very low levels of ongoing gene flow between populations. Our results and prior genomic studies suggest that reproductive isolation is being maintained between ecotypes despite recent evidence that hybridization in nature does occur. Contrary to other systems, we found many small, but dispersed regions of high differentiation throughout the genome rather than explicitly within chromosomal inversions or the sex chromosomes. On chromosomes VII and XVI, we identified CNVs overlapping genes enriched for olfaction, which may play a role in differences in reproductive strategies between ecotypes. Ultimately, our results demonstrate that genome-wide rather than localized differences can underlie the early stages of divergence, and that this pattern is corroborated by both SNPs and CNVs.

Copy Number Variation↗
PubMed2025

Host-Associated Genetic Differentiation in the Face of Ongoing Gene Flow: Ecological Speciation in a Pathogenic Parasite of Freshwater Fish.

Adaptive evolution in response to varying environments, leading to population divergence, is among the most intriguing processes of speciation. However, the extent to which these adaptive processes effectively drive population divergence amidst ongoing gene flow remains controversial. Our study addresses this by analyzing population genetic structure, gene flow, and genomic divergence between lineages of a tapeworm parasite (Ligula intestinalis) isolated from sympatric fish hosts. This parasite, which must overcome host immunological defenses for successful infection, significantly impacts host health. Utilizing genome-wide Single Nucleotide Polymorphisms (SNPs) and transcriptome data, we investigated whether host species impose distinct selection pressures on parasite populations. Genetic clustering analyses revealed clear divergence, with parasites from bream (Abramis brama) forming a distinct genetic cluster separate from those infecting roach (Rutilus rutilus), rudd (Scardinius erythrophthalmus), and bleak (Alburnus alburnus). Demographic modeling indicated isolation with continuous gene flow as the most plausible scenario for this divergence. Selection analyses identified 896 SNPs under selection, displaying low to moderate nucleotide diversity and genetic divergence compared with neutral loci. Transcriptome profiling supported these findings, revealing distinct gene expression profiles between parasite populations. Examination of selected SNPs and differentially expressed genes identified candidate genes linked to immune evasion mechanisms, potentially driving ecological speciation. This research highlights the interplay of host specificity, population demography, and disruptive selection in ecological speciation. By dissecting genomic factors, our study improves the understanding of mechanisms facilitating population divergence despite ongoing gene flow.

Animals↗
PubMed2026

Cryptic serpentine divergence and substrate adaptation of Cardamine glauca in the Balkan Peninsula.

BACKGROUND AND AIMS: Serpentine soils represent one of the most challenging substrates for plant life due to skewed ratios of essential nutrients and toxic concentrations of metals. Plant adaptation to such conditions may lead to locally adapted edaphic ecotypes or, when reproductive barriers evolve, to distinct serpentine endemics. However, a third scenario may occur: cryptic edaphic divergence, where phenotypically similar lineages adapted to contrasting substrates exhibit deep genetic divergence. Here, we tested whether substrate-associated divergence reflects repeated serpentine adaptation or cryptic edaphic lineage divergence in Cardamine glauca (Brassicaceae) in Balkan peninsula - a hotspot of serpentine endemism in Europe. METHODS: We sampled and sequenced genomes of 43 individuals of C. glauca together with four individuals representing closely related taxa, C. plumieri and C. pancicii, from variable substrates across the Balkans. We combined phylogenomics, population genomic analyses of selection and a reciprocal transplant experiment to infer the most likely evolutionary scenario. KEY RESULTS: Phylogenomic analysis of 941 loci confirmed monophyly of C. glauca, including the local endemic C. pancicii, but revealed deep splits (∼2.2-3.2 Mya) between co-occurring serpentine and non-serpentine lineages. Population genomic analyses of replicated geographically proximate serpentine-non-serpentine population pairs demonstrated strong genome-wide differentiation and limited gene flow between edaphic types. Window-based analyses of local genomic divergence and tests for positive selection revealed candidate genes involved in ion transport, membrane transporter activity and metal homeostasis, consistent with the hypothesis of substrate-driven ecological adaptation. This was further supported by a significant substrate-of-origin fitness advantage in a reciprocal transplant experiment. CONCLUSIONS: Altogether, our results demonstrate that edaphic preferences may correspond with deep genetic divergence between similar-looking yet differently adapted lineages. The presence of cryptic edaphic lineages suggests that plant diversity may still be underestimated in genomically underexplored but edaphically diverse hotspots such as the Balkans.

Cardamine glauca↗
PubMed2026

ntSynt-viz: Visualizing synteny patterns across multiple genomes.

With the explosion of chromosome-scale genome assemblies being generated in recent years, there is vast potential for comparative genomics analyses through detecting multi-genome synteny. While existing tools can detect synteny blocks between multiple genomes, their text-based outputs make it challenging to intuitively explore large-scale synteny patterns. Interpretable, information-rich and easy-to-use synteny visualization tools are imperative to enable important biological insights from the synteny block data output by the aforementioned utilities. Here, we present ntSynt-viz, a command-line tool for automated sorting, normalization and plotting of multi-genome synteny blocks. We show how ntSynt-viz provides clearer and more easily interpretable chromosome painting ribbon plots compared to the state-of-the-art tools NGenomeSyn and plotsr when evaluating synteny between 14 human genomes, and compared to NGenomeSyn when comparing 9 hoverfly genomes. As plotsr is limited to comparing genomes with equal chromosome numbers, it was not applicable to the hoverfly dataset. Furthermore, we demonstrate how ntSynt-viz can also be applied to visualize syntenic patterns encoded in pangenome graphs, using a Minigraph-Cactus graph built from 16 Drosophila genomes. We expect that ntSynt-viz will provide crucial insights into large-scale synteny patterns between divergent genomes, thereby advancing research into key evolutionary questions.

Synteny↗
PubMed2026

Multi-omics identification of ZFPM2 and CD44 as key candidates for testicular size in sheep.

Testicular size is a key determinant of ram fertility, yet its genetic architecture in sheep remains poorly understood. Crossbred sheep exhibit substantial testicular developmental variation and serve as ideal models for screening fertility-related genes. Here, we performed whole-genome sequencing (WGS)-based genome-wide association study (GWAS) on 115 rams, including seven crossbred populations (each derived from a distinct sire breed crossed with Hu sheep) and a purebred Hu sheep population. We identified two variants within ZFPM2, including an intronic single nucleotide polymorphism (SNP) rs421073404 and a missense SNP rs1086332841, both significantly correlated with testis weight, length, and width. Importantly, these variants exerted testis-specific effects, consistent with their weak correlation with body weight (r&#x202f;<&#x202f;0.2). Genomic selection scans (FST and &#x3c0;-ratio) between rams with large (>150&#x202f;g/side) and small (<75&#x202f;g/side) testes revealed multiple divergent genomic regions, with prominent haplotype differentiation at the CD44 locus on chromosome 15. Notably, two linked missense variants (rs160734053 and rs414318703) in CD44 exerted opposing effects on testicular size, suggesting allelic heterogeneity at this locus. Integrative RNA-seq and ATAC-seq across 0-12 months further uncovered prepubertal stage-specific expression and chromatin accessibility patterns of ZFPM2 and CD44, providing mechanistic insights into their regulatory roles. Collectively, this study provides candidate SNPs for sheep marker-assisted selection and multi-omic evidence for dissecting the genetic basis of testicular development in ovine breeding.

Animals↗
PubMed2026

Translational case series comparing next-generation sequencing profiles of primary breast cancer and brain metastases.

BACKGROUND: Breast cancer (BC) is a heterogeneous disease, and its molecular and immunohistochemical (IHC) profiles may change over time, particularly under therapeutic pressure. IHC discordance between primary tumors and BC brain metastases (BCBM) has been reported, yet its biological and clinical significance remains incompletely defined. Genomic profiling using next-generation sequencing (NGS) may provide additional insight into tumor evolution and clonal selection, although data from paired BC and BCBM are limited. METHODS: This translational case series included six patients randomly selected from an institutional cohort of BC patients who underwent neurosurgical resection of BCBM. IHC reassessment (ER, PR, and HER2) and NGS profiling using targeted panels were performed. RESULTS: Three of the six cases presented with IHC discordance, mainly loss of HR expression and gain of HER2 in BCBM. Genomic profiling identified 23 mutations in primary tumors compared with four in BCBM. BRCA1/2 variants predominated in primary tumors (21/23, 91%), most predicted to result in loss-of-function alterations. One mutation (PIK3CA/N345K) was shared between primary and metastatic tissues within the same patient. Overall survival ranged from 28 to 146 months. CONCLUSION: This paired analysis demonstrates immunophenotypic and genomic divergence between BC and BCBM, supporting the concept of dynamic tumor evolution. Receptor conversion and emergence or loss of actionable genomic alterations highlight the potential value of repeat molecular assessment in advanced stages. Although limited by a small sample size, retrospective design, and absence of matched germline testing, these findings reinforce the importance of integrating biomarker reevaluation into the management of selected patients.

Humans↗
PubMed2026

Sexual selection purges mutation load, but not overall genetic diversity, decreasing vulnerability to extinction.

Theory suggests sexual selection will enhance population viability by purging deleterious alleles. However, direct genomic evidence for this fundamental idea is scarce and contradictory. We combined long-term experimental evolution with whole-genome resequencing to directly test how sexual selection affects mutation load, genomic divergence, and extinction risk in small populations (maximum Ne = 40) of Tribolium castaneum. After 156 generations, populations evolving under strong sexual selection carried substantially fewer deleterious alleles than populations under weak sexual selection, based on both individual-level estimates of missense and nonsense variants and population-level Rxy analyses, indicating more efficient purging of deleterious alleles. In contrast, nucleotide diversity and runs of homozygosity were similar across treatments, indicating that purging acted most strongly on deleterious variation, and that reduced mutation load in these small populations under strong sexual selection was not explained by demographic effects. Importantly, population-level mutation load estimates best explained extinction risk under inbreeding, directly linking sexual selection to purging and population viability. Genome scans of high and low sexual selection populations revealed peaks of divergence, which included genes involved in courtship, sex discrimination, and seminal fluid proteins. Our results provide direct genomic evidence that sexual selection can reduce mutation load without eroding standing genetic diversity and thus adaptive potential, while driving adaptive divergence in reproductive traits. This beneficial purging may help explain the widespread prevalence of sexual reproduction in nature despite inherent costs and have important ramifications as to how we manage populations of conservation concern.

Animals↗
PubMed2026

Integrated functional genomics and safety assessment of plant-growth-promoting Caryophanales from post-maize-cultivation soils.

This study aimed to evaluate six environmental bacterial strains isolated from post-maize cultivation soils as candidates for agricultural biopreparation development, using an integrated functional genomic and safety assessment framework. Building on experimental validation of plant-growth-promoting activities, the analysis included: plant-growth-promoting traits (PGPT-Pred) using PLABase; carbohydrate-active enzymes (CAZymes) relevant for lignocellulosic crop residue degradation (dbCAN3); secondary metabolite profiles (antiSMASH); and screening for virulence factors and antibiotic resistance genes (ABRicate, BTyper3).All analyzed strains possess 1,449-1,617 predicted PGPT-encoding genes (24.1-35.9% of total genes), which are strongly shaped by taxonomic relatedness, as confirmed by congruence testing against ANI-based genomic divergence. Paenibacillus amylolyticus 5mez and Priestia megaterium 7psych showed distinct functional profiles compared to Bacillus spp., while Bacillus subtilis sensu lato strains were most similar to each other. Genomic predictions suggest involvement in nutrient acquisition (N, P, K, Fe) and stress mitigation. Secondary metabolite analysis revealed high biosynthetic potential, with non-Bacillus species harbouring a large proportion of unknown gene clusters, indicating underexplored metabolite diversity. CAZyme profiling identified P. amylolyticus 5mez as the most enzyme-rich strain, while B. cereus s.s. zielonkawy showed ligninolytic potential despite low overall CAZyme abundance. The safety assessment identified B. cereus s.s. zielonkawy as toxigenic and unsuitable for use. Of the remaining strains, P. amylolyticus 5mez and Pr. megaterium 7psych demonstrated the most favourable safety profiles, exhibiting no detectable virulence factors or antibiotic resistance genes, justifying their priority use in agricultural biopreparations, pending phenotypic validation. Given the high-dimensional, low-sample-size nature of multi-trait datasets in applied microbial genomics, tailored statistical approaches, including noise-reduction-validated PCA and distance-based congruence testing, were applied; their rationale and limitations are discussed.

Soil Microbiology↗
PubMed2025

WinPCA: a package for windowed principal component analysis.

SUMMARY: With chromosomal reference genomes and population-scale whole genome-sequencing becoming increasingly accessible, contemporary studies often include characterizations of the genomic landscape as it varies along chromosomes, commonly termed genome scans. While traditional summary statistics like FST and dXY between pre-assigned populations remain integral to characterizing the genomic divergence profile, PCA differs by providing single-sample resolution, thereby supporting the identification of polymorphic inversions, introgression and other types of divergent sequence that may not be fully aligned with global population structure. Here, we introduce WinPCA, a user-friendly package to compute, polarize and visualize genetic principal components in windows along the genome. To accommodate low-coverage whole genome-sequencing datasets, WinPCA can optionally make use of PCAngsd methods to compute principal components in a genotype likelihood framework. WinPCA accepts variant data in either VCF or BEAGLE format and can generate rich plots for interactive data exploration and downstream presentation. AVAILABILITY AND IMPLEMENTATION: WinPCA is implemented in Python and freely available at https://github.com/MoritzBlumer/winpca and https://doi.org/10.5281/zenodo.15614979.

Software↗