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PubMed2026

De novo genome assemblies of threatened Asian hornbills (Bucerotidae) reveal declining population trajectories during the late Pleistocene.

BACKGROUND: Asian hornbills are flagship species of the wet tropics that face significant threats from hunting, habitat loss, and fragmentation. Despite being conservation flagships, whole genome information is available for only two of the 32 Asian hornbill species. In this study, we provide the first de novo genome assemblies for four hornbill species (Bucerotidae) in Asia. METHODS: We used a combination of long-read and short-read sequencing data to assemble and annotate de novo hybrid genomes of four species of hornbills. We also assembled and compared mitochondrial genomes of these species. Using a comparative genomics approach, we performed orthology assignment and gene evolution analyses to identify unique gene families in Asian hornbills, gene families that showed significant expansion, their functions and structural variation. Furthermore, using the Pairwise Sequentially Markov Coalescent (PSMC) method, we reconstructed demographic histories of hornbill species to examine changes in their population trajectories in the past. RESULTS: We present hybrid genome assemblies for Great Hornbill (B. bicornis - GH), Rufous-necked Hornbill (A. nipalensis- RNH), Malabar Pied Hornbill (A. coronatus- MPH) and Wreathed Hornbill (R. undulatus- WH). The genome sizes of these hornbills range from 1.1 Gb to 1.3 Gb, with over 95.9% completeness and gene prediction BUSCO. We reported 10,525 orthogroups shared among four Asian hornbill species and identified significant expansion in gene families associated with structural keratin development in Asian hornbills compared to their ancestors. We also provide annotated mitogenomes for each of these species. Furthermore, we found that the WH, a more abundant, widely distributed, and migratory species, showed a higher Ne than the other three hornbill species. However, an overall decline in Ne for all species was recorded during the Pleistocene climatic fluctuations. CONCLUSIONS: We present the first-ever, high-quality reference genomes for the threatened hornbill species from Asia. Hornbills have shown significant expansion in genes involved in structural keratin development. Our results indicate that Pleistocene climatic fluctuations have led to dramatic population declines in all four species. We believe that this study provides robust genomic resources to support future comparative and conservation genomics efforts for hornbills.

Animals↗
PubMed2025

Genome sequence analysis provides evidence that a boreal crustacean colonised Svalbard well before the ongoing Atlantification of the Arctic.

The study of present-day species distributions often raises questions about historical demography. A particularly interesting phenomenon to put in historical context is contemporary human-induced atlantification and its role in reshaping Arctic ecosystems. Despite this, the colonisation history of the Arctic remains generally understudied. In this study, we investigated the demographic history of the northern acorn barnacle, Semibalanus balanoides, a typically boreal species on the Svalbard Archipelago. Our focus was to determine the source and timing of its colonisation of this Arctic archipelago. Using low-coverage whole-genome sequence data, we evaluated two competing hypotheses: whether S. balanoides populations colonised Svalbard through ancient natural processes before the Anthropocene, or if their appearance is more recent, either natural or a consequence of growing anthropogenic influences, such as increased connectivity and global warming. Our results suggest that this boreal species expanded into the Arctic during the later phase of the Holocene Thermal Optimum, well before human-induced climate change.

Animals↗
PubMed2025

Genetic history and adaptation of Eurasian wild boars inform livestock breeding.

Historical expansions of wild boars (Sus scrofa) across Eurasia have shaped phenotypic variation, genetic diversity, and local adaptation of their populations. The study by Wang et al.1 investigates the demographic history and genetic adaptation of Eurasian wild boars based on 96 whole-genome sequences, informing a critical role of Central Asian populations in their expansions and identifying key genes and variants associated with their local adaptation. Also, the adaptive variants are potentially useful for domestic pig breeding in future.

Animals↗
PubMed2026

Genomic history of the Caucasus: A systematic review and meta-analysis of ancient DNA studies.

The Caucasus region represents a unique natural laboratory for paleogenetic research due to its complex topography, long-standing role as a migratory corridor and glacial refugium, and exceptional preservation conditions for ancient DNA. This review synthesizes recent genome-wide studies to reconstruct the demographic history shaping the distinctive genetic landscape of modern Caucasus populations. The analysis reveals a deep pattern of continuity, isolation, and periodic admixture. Early genetic differentiation emerged in the Neolithic and Chalcolithic, forming distinct steppe and mountain population clusters. The Bronze Age was a pivotal period marked by large-scale gene flow from the Eurasian Steppe, particularly linked to the Yamnaya expansion, and interactions with Iranian and Anatolian-related groups. Despite these influences, many populations demonstrate remarkable genetic continuity from the Bronze Age to the present day. Significant knowledge gaps persist, particularly for the Paleolithic, Mesolithic, and Neolithic of the North Caucasus, as well as for the Late Medieval and Early Modern periods across the entire region. Addressing these gaps through targeted archaeogenomic studies is crucial for understanding the fine-scale processes that formed the hierarchical structure and high linguistic diversity of Caucasus populations, offering a powerful model for studying human adaptation, interaction, and language-genetics dynamics in a mountainous environment.

Humans↗
PubMed2026

The Baltic Sea: A Unique and Sensitive Ecosystem.

The Baltic Sea is a young, semi-enclosed brackish ecosystem shaped by postglacial history; restricted exchange with the North Sea; and strong gradients in salinity, temperature, and oxygen. These conditions have produced a species-poor but highly productive and ecologically important system. This review synthesizes evidence that Baltic populations persist not only through phenotypic plasticity but also through rapid evolutionary change, local adaptation, hybridization, and demographic history. Population genomic studies reveal sharp genetic differentiation between Baltic and Atlantic populations in many taxa, often across the Danish Straits, and fine-scale structuring within the Baltic itself. Case studies of eelgrass, bladderwrack, blue mussels, Baltic clam, cod, flounder, and herring illustrate how clonality, hybrid swarm formation, reproductive isolation, and habitat-specific selection shape resilience and vulnerability. Rapid warming, hypoxia, eutrophication, overfishing, and low functional redundancy increase ecosystem sensitivity. Long-term resilience will depend on protecting locally adapted populations and integrating genomic knowledge into ecosystem-based management and conservation.

Journal Article↗
PubMed2025

Estimation of demography and mutation rates from one million haploid genomes.

As genetic sequencing costs have plummeted, datasets with sizes previously unthinkable have begun to appear. Such datasets present opportunities to learn about evolutionary history, particularly via rare alleles that record the very recent past. However, beyond the computational challenges inherent in the analysis of many large-scale datasets, large population-genetic datasets present theoretical problems. In particular, the majority of population-genetic tools require the assumption that each mutant allele in the sample is the result of a single mutation (the "infinite-sites" assumption), which is violated in large samples. Here, we present DR EVIL, a method for estimating mutation rates and recent demographic history from very large samples. DR EVIL avoids the infinite-sites assumption by using a diffusion approximation to a branching-process model with recurrent mutation. This approach results in tractable likelihoods that are accurate for rare alleles. We show that DR EVIL performs well in simulations and apply it to rare-variant data from one million haploid samples. We identify mutation-rate heterogeneity even after accounting for trinucleotide context and methylation status. We also predict that at modern sample sizes, the alleles at most polymorphic sites with high mutation rates represent the descendants of multiple mutation events.

Haploidy↗
PubMed2026

Population history rather than tree age contributes to the evolutionary importance of ancient trees in an endangered conifer.

Ancient trees are in global decline and face increasing conservation challenges. Their exceptional longevity has fostered the view that they are genetic reservoirs, yet whether old age is synonymous with unique genetic variation remains unclear. Here we assembled a ~8-Gb chromosome-level reference genome for the critically endangered conifer Glyptostrobus pensilis, now largely restricted to southern China with scattered populations in Vietnam and Laos, and resequenced 147 individuals, including 64 ancient (>100 years old and persisting in human-dominated landscapes), 33 wild and 50 recently cultivated individuals. Ancient individuals comprised both likely natural relics and historically introduced individuals and formed two deeply divergent lineages and one ancestral-admixed group, each with distinct demographic histories of prolonged contraction and genomic erosion. Lineage identity explained more variation in genome-wide diversity, inbreeding and genetic load than the three conservation types, despite broad differences in age structure. Rare-allele analyses revealed pronounced heterogeneity among ancient trees: only relic and ancestral-origin individuals from high-diversity lineages contributed substantial unique variation, much of which is poorly represented in wild and cultivated populations. Together, our findings suggest that ancient trees are not uniformly genetically irreplaceable and that, at least in this conifer, evolutionary importance is shaped more strongly by population history than by age alone.

Endangered Species↗
PubMed2025

Accessible, realistic genome simulation with selection using stdpopsim.

Selection is a fundamental evolutionary force that shapes patterns of genetic variation across species. However, simulations incorporating realistic selection along heterogeneous genomes in complex demographic histories are challenging, limiting our ability to benchmark statistical methods aimed at detecting selection and to explore theoretical predictions. stdpopsim is a community-maintained simulation library that already provides an extensive catalog of species-specific population genetic models. Here we present a major extension to the stdpopsim framework that enables simulation of various modes of selection, including background selection, selective sweeps, and arbitrary distributions of fitness effects (DFE) acting on annotated subsets of the genome (for instance, exons). This extension maintains stdpopsim's core principles of reproducibility and accessibility while adding support for species-specific genomic annotations and published DFE estimates. We demonstrate the utility of this framework by comparing methods for demographic inference, DFE estimation, and selective sweep detection across several species and scenarios. Our results demonstrate the robustness of demographic inference methods to selection on linked sites, reveal the sensitivity of DFE-inference methods to model assumptions, and show how genomic features, like recombination rate and functional sequence density, influence power to detect selective sweeps. This extension to stdpopsim provides a powerful new resource for the population genetics community to explore the interplay between selection and other evolutionary forces in a reproducible, user-friendly framework.

Journal Article↗
PubMed2026

Phylogenomics and museomics reveal five distinct species of tiger cats in South America.

The evolutionary history of elusive organisms can be characterized through genomic analyses, which have the power to reveal previously unknown taxa even in groups assumed to be well studied, such as cats. We have analyzed complete genomes of 38 individuals from the Neotropical cat genus Leopardus, including 26 individuals representing multiple evolutionary units of the contentious tiger cat (Leopardus tigrinus) species complex. Eight genomes were generated from museum specimens, which allowed the first genetic assessment of the type locality for L. tigrinus in the Guiana Shield. We found that this complex comprises five distinct species, including a novel cat species, discovered in the Bolivian Yungas and described in this study as L. tilcayo. The Peruvian Yungas unit of this complex also represents a distinct taxonomic entity, which we describe here as a novel subspecies, L. tigrinus antisuyo. Our phylogenomic analyses resolve the evolutionary relationships among the tiger cat geographic units, thus stabilizing their recalcitrant taxonomy and enabling adequate conservation assessment of these threatened felids. We also address other aspects of their evolution, including biogeography, past episodes of interspecies admixture, demographic history of each taxonomic unit, and temporal changes in genetic diversity. Altogether, our results clarify the evolutionary history of a complex radiation of wild cats, reveal novel taxa, and serve as a basis for conservation planning on behalf of these elusive wild cats.

Bolivian Yungas↗
PubMed2025

A genealogy-based approach for revealing ancestry-specific structures in admixed populations.

Elucidating ancestry-specific structures in admixed populations is crucial for comprehending population history and mitigating confounding effects in genome-wide association studies. Existing methods to reveal the ancestry-specific structures generally rely on frequency-based estimates of genetic relationship matrix (GRM) among admixed individuals after masking segments from ancestry components not being targeted for investigation. However, these approaches disregard linkage information between markers, potentially limiting their resolution in revealing structure within an ancestry component. We introduce ancestry-specific expected GRM (as-eGRM), a novel framework for estimating the relatedness within ancestry components between admixed individuals. The key design of as-eGRM consists of defining ancestry-specific pairwise relatedness between individuals based on genealogical trees encoded in the ancestral recombination graph (ARG) and local ancestry calls and then computing the expectation of the ancestry-specific relatedness across the genome. Comprehensive evaluations using both simulated stepping-stone models of population structure and empirical datasets based on three-way admixed Latino cohorts showed that analysis based on as-eGRM robustly outperforms existing methods in revealing the structure in admixed populations with diverse demographic histories, which in turn improves the robustness against confounding due to population structure in association testing.

Humans↗
PubMed2025

Habitat Specialisation Impacts Clownfish Demographic Resilience to Pleistocene Sea-Level Fluctuations.

Habitat fragmentation and loss are key threats to biodiversity, yet their impacts on marine species remain poorly understood. Clownfishes, which rely on sea anemones for shelter and reproduction, provide an interesting model to explore how ecological specialisation mediates species responses to habitat perturbations. We used whole-genome data from 382 individuals across 10 species with varying host specialisations to reconstruct demographic histories and infer spatial genetic structure to assess the impact of Pleistocene sea-level fluctuations. Generalist species, associated with multiple hosts, maintained stable effective population sizes () and population connectivity during habitat fragmentation, reflecting resilience to environmental instability. In contrast, specialists experienced severedeclines and genetic structuring, driven by their dependence on specific hosts, without signs of population recovery following habitat reconnection. Spatial genomic analyses identified the Indonesian Through-Flow as a key dispersal corridor and the Coral Triangle as a critical hub of genetic diversity, while continental shelves and extensive open ocean regions appeared as barriers to gene flow. Our findings reveal how host specialisation shapes clownfish population dynamics, emphasising the importance of incorporating ecological dependencies into conservation assessments and deepening our understanding of species responses to ecological constraints and environmental changes over evolutionary timescales.

Animals↗
PubMed2025

LYCEUM: learning to call copy number variants on low-coverage ancient genomes.

MOTIVATION: Copy number variants (CNVs) are pivotal in driving phenotypic variation that facilitates species adaptation. They are significant contributors to various disorders, making ancient genomes crucial for uncovering the genetic origins of disease susceptibility across populations. However, detecting CNVs in ancient DNA (aDNA) samples poses substantial challenges due to several factors: (i) aDNA is often highly degraded; (ii) contamination from microbial DNA and DNA from closely related species introduces additional noise into sequencing data; and finally, (iii) the typically low-coverage of aDNA renders accurate CNV detection particularly difficult. Conventional CNV calling algorithms, which are optimized for high-coverage read-depth signals, underperform under such conditions. RESULTS: To address these limitations, we introduce LYCEUM, the first machine learning-based CNV caller for aDNA. To overcome challenges related to data quality and scarcity, we employ a two-step training strategy. First, the model is pre-trained on whole genome sequencing data from the 1000 Genomes Project, teaching it CNV-calling capabilities similar to conventional methods. Next, the model is fine-tuned using high-confidence CNV calls derived from only a few existing high-coverage aDNA samples. During this stage, the model adapts to making CNV calls based on the downsampled read depth signals of the same aDNA samples. LYCEUM achieves accurate detection of CNVs even in typically low-coverage ancient genomes. We also observe that the segmental deletion calls made by LYCEUM show correlation with the demographic history of the samples and exhibit patterns of negative selection inline with natural selection. AVAILABILITY AND IMPLEMENTATION: LYCEUM is available at https://github.com/ciceklab/LYCEUM.

DNA Copy Number Variations↗
PubMed2026

The First Highly Contiguous Genome Assembly for the Western Bluebird (Sialia mexicana).

The western bluebird (Sialia mexicana) is a secondary cavity-nesting thrush that has experienced historical population declines, local extirpations, and more recent recoveries associated with nest box programs. Despite these regional successes, recent eBird estimates suggest continued range-wide declines and substantial geographic variation in population trajectories, making this species a useful system for future studies of demographic change, connectivity, and conservation genomics. However, genomic resources for western bluebirds remain limited, and no reference genome currently exists for any species in the genus Sialia. Here, we present the first high-quality de novo reference genome for S. mexicana. Using PacBio HiFi long-read sequencing from an adult female, we generated a highly contiguous, phased 1.3 Gb nuclear assembly with a contig N50 of 24.8 Mb and high BUSCO completeness of 98.3%. We annotated the nuclear genome using transcriptomic and protein evidence, identifying 16,656 protein-coding genes and 26,060 transcripts/protein isoforms. We also assembled a complete ∼16 kb mitochondrial genome from Illumina short-read data. This reference genome provides a foundational resource for future studies of population structure, genetic diversity, connectivity, demographic history, and adaptation in western bluebirds and related taxa.

Animals↗
PubMed2025

Sex-Biased Admixture Followed by Isolation and Adaptive Evolution Shaped the Genomic and Blood Pressure Diversity of the LopNur People.

The LopNur people are an ethnic group living on the edge of the Taklamakan Desert, and they are believed to demonstrate a unique genetic makeup due to their isolation and limited contact with neighboring populations. However, a lack of genetic studies on the LopNur people has resulted in limited knowledge about their ancestral origins and demographic history. Here, we conducted the first whole-genome sequencing study of 164 LopNur individuals (LOP) to gain insight into their genetic history and adaptive evolution in an isolated desert area. Our analysis revealed that the present-day LOP have experienced a complex history of admixture followed by long-term isolation, with their ancestry derived from East Asia (∼41.46%), West Eurasia (∼26.43%), Siberia (∼24.27%), and South Asia (∼7.82%). Notably, a remarkable sex-biased admixture occurred between Western males and Eastern females. In addition to complex admixture followed by long-term geographic isolation and further recent migrations, adaptive evolution jointly formed the gene pool and phenotypic diversity of the present-day LOP. Intriguingly, our analysis suggests that the USP35-GAB2 region may be correlated with blood pressure in LOP, based on a joint analysis of genomics and blood pressure data. Moreover, we identified two variants, rs7387065, and rs2229437, located on CSMD1 and PRCP, respectively. These variants exhibited frequency differences between Asian and European populations and were reported to be associated with antihypertensive drug absorption. Our results provide new insight into the complex history of the LOP, an admixed and isolated ethnic group residing at the crossroads of East and West, a case with ancient admixture, long-term isolation, adaptive evolution, and sex-biased gene flow.

Female↗
PubMed2025

Pleistocene island connectivity did not enhance dispersal or impact population size change in Galápagos geckos.

Patterns of biodiversity on remote archipelagos are largely shaped by intra-archipelago colonization followed by in situ diversification. Pleistocene sea-level fluctuations purportedly enhanced gene flow among terrestrial organisms by increasing connectivity during periods of lower sea level. Furthermore, changes in sea-level are hypothesized to impact population sizes as a result of fluctuations in island sizes. Here, we used genomic data to test the role of Pleistocene island connectivity on the diversification and demographics of leaf-toed geckos (Phyllodactylus) endemic to the Galápagos. Consistent with previous studies, we found that present diversity of Galápagos Phyllodactylus stems from three independent dispersal events. Contrary to the hypothesis of Pleistocene-driven diversification, we found no correspondence between lineage divergence and island connectivity. Furthermore, we found no evidence of introgression; demographic modelling indicated that all species increased rapidly in effective population size in the period 20-150 ka, and these inferred demographic expansions were largely asynchronous and apparently unassociated with species or island age. Collectively, these results indicate that more complex abiotic and/or biotic factors may better explain the recent demographic history of Phyllodactylus and underscore the need for additional population genomic studies of terrestrial taxa to understand the impact of past climate cycles on Galápagos island communities.

Animals↗
PubMed2025

Conservation Arks: Genomic Erosion and Inbreeding in an Abundant Island Population of Koalas.

The persistence of many threatened species depends on isolated habitat patches such as conservation parks, fenced reserves, and islands. While these 'conservation arks' provide refuge from many contemporary threats, they can also pose risks of genetic diversity loss and inbreeding depression, further exacerbating extinction risk. A pertinent example is the Kangaroo Island koala population in South Australia that originated from a few translocated founding individuals in the 1920s but now sustains a large population with a low prevalence of infectious disease. We investigated the extent and consequences of founder effects on genomic diversity, inbreeding, and adaptive potential in Kangaroo Island koalas by comparing them with mainland Australian populations using high-coverage whole genomes. Our findings support sharp, recent declines in effective population sizes (Ne) in both mainland and Kangaroo Island populations. However, Kangaroo Island koalas had much lower individual and population-level diversity. Together with longer and more numerous runs of homozygosity and an increased proportion of homozygous genetic load, these results support the hypothesis that a severe bottleneck has contributed to inbreeding and maladaptation in Kangaroo Island koalas. While Kangaroo Island has the potential to conserve a viable population of koalas, we recommend genetic rescue to restore diversity and mitigate inbreeding depression in this isolated population. Our results emphasise the need for longitudinal genomic monitoring and genetic management to maintain long-term viability and resilience in potential conservation arks. Understanding the demographic history of such populations will help inform future conservation aimed at preventing genetic erosion and preserving biodiversity.

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↗
PubMed2026

Genomic early growth mechanisms of two endangered Mexican spruces.

This study elucidated the genomic basis of family-level growth variance in the critically endangered endemic Mexican spruces Picea martinezii and P. mexicana by: (i) analyzing family- and population-level variations in seedling basal diameter and height after 12 months of growth under common garden conditions and seed weight as maternal provisioning trait; and (ii) identifying genomic loci (SNPs) associated with these traits. Despite limited sample sizes (77 and 74 families representing all known populations of both species), 32 and 10 outlier SNPs were identified yielding 17 and six annotated candidate genes in P. martinezii and P. mexicana, respectively. These genes showed contrasting multivariate associations suggesting species-specific hypothesized growth strategies at the family level: defense-oriented framework in P. martinezii and plasticity-driven response in P. mexicana. Notably, several candidate genes encode key components of growth hormone pathways, including a gibberellin-regulated protein, a cytokinin hydroxylase and the AP2-like transcription factor ANT, providing valuable insights into how maternal genetic variation corresponds to the hormonal pathways that govern cell proliferation and organ size in the progeny. Integration of these findings with the contrasting demographic histories of both species revealed that population bottlenecks enhance the detectability of growth-associated variants by reducing background genetic variation. These genomic resources provide actionable information for prioritizing conservation measures, implementing assisted gene flow to maintain adaptive potential under climate change and designing future breeding programs. With 80.9-99.6% sequence identity to conserved Picea abies homologs, these findings may extend across the genus.

Picea↗