Biology subjects

Small, S. T.

Publications and source records attributed to Small, S. T..

14 recordsLinked to original sources

bioRxiv2026

GPU accelerated population genetics statistics using pg_gpu

Population genetics summary statistics--diversity, divergence, linkage disequilibrium, selection scans, and dimensionality reduction--are fundamental across human, agricultural, and ecological genomics. As whole-genome sequencing datasets have grown to hundreds of thousands of individuals, the cost of computing these statistics on conventional CPU implementations has become a major bottleneck: windowed scans of a single chromosome arm can take hours to days, and computation of pairwise linkage-disequilibrium statistics useful for demographic inference scales as O(n2) in sample size, often exceeding wall-clock budgets entirely. We present pg_gpu, a Python library implementing a comprehensive catalog of population-genetics summary statistics as fused CUDA kernels on NVIDIA GPUs. pg_gpu covers eleven categories spanning diversity and neutrality tests, divergence, admixture, the site-frequency spectrum, linkage disequilibrium, haplotype-based selection scans, dimensionality reduction (PCA, randomized PCA, local PCA / lostruct), distance distributions, relatedness, resampling, and a generalized weighted-SFS framework for custom{omega} estimators. On the full Ag1000G Phase 3 chromosome 3R arm (2,940 haplotypes, 10.9 million variants) pg_gpu agrees with scikit-allel and PLINK2 to machine precision while delivering a median 139x and maximum 1,096x speedup. For the multi-population LD statistics used by moments for demographic inference, pg_gpu is a drop-in replacement that yields a ~1,750-fold speedup over the native implementation. Whole chromosome arm scans, lostruct screens, and calculation of LD statistics complete on a single NVIDIA A100 in seconds to a few minutes.

evolutionary biology↗

bioRxiv2026

Ecotypes, Wolbachia, and urbanization shape Culex pipiens population structure in a West Nile virus hotspot

Culex pipiens is a major vector of West Nile Virus (WNV) in Europe and has a complex evolutionary history that has been linked to the probability of WNV spillover to humans. Here, we present a population genomic analysis of Cx. pipiens from a WNV hotspot in southwestern Spain. Whole-genome sequencing of 217 individuals from 24 localities revealed that population structure is mainly shaped by the coexistence of pipiens and molestus ecotypes. Despite clustering, genome-wide divergence between ecotypes was low, consistent with shared ancestral variation. Furthermore, Wolbachia infection was heterogeneous across the study area, where some Culex pipiens pipiens remain uninfected. We also identified three new polymorphic chromosomal inversions on chromosomes 1 and 3 that segregate independently. Although inversions did not underlie ecotypic differentiation, they were enriched for genes involved in olfaction and insecticide resistance pathways, suggesting potential adaptive and epidemiological relevance. Distance-based redundancy analyses showed that ecotype identity explained the largest fraction of genetic variance, with additional contributions from Wolbachia infection, habitat type (urban versus rural) and geographic distance. These results reveal that partial ecotypic differentiation, symbiont infection, and habitat interact to shape population structure in Cx. pipiens, with implications for vector ecology and disease transmission.

genomics↗

bioRxiv2026

Diversity and divergence of two sympatric, sibling octopus species

Coleoid cephalopods have convergently evolved many traits shared with vertebrates, including camera-type eyes, large brain-to-body size ratios, and complex behaviors. Most evolutionary studies of cephalopods have compared individual genomes of taxa that diverged tens to hundreds of millions of years ago, yet very few have examined more recent evolution from a population genetics perspective. Here we present a comparative population genomic analysis of the sympatric sister species Octopus bimaculatus and Octopus bimaculoides using whole-genome resequencing. Despite similar morphologies, these species differ substantially in their life histories, ecologies, and geographic distributions. Using demographic inference, we estimated that the two species diverged approximately one million years ago and that O. bimaculatus has maintained a consistently larger effective population size since divergence. Consistent with these demographic histories, we found stronger signatures of positive selection in O. bimaculatus, including a positive correlation between recombination rate and nucleotide diversity, more selective sweeps, and a higher proportion of mutations fixed by adaptation--all consistent with more efficient natural selection in larger populations. Protein-coding genes overlapping with selective sweeps were enriched for various functions that included many related to brain and eye development, suggesting that traits characteristic of coleoid cephalopods continue to be shaped by positive selection on recent timescales in these species. Comparing coding-sequence divergence on the Z chromosome to the autosomes, we also find evidence for a female-biased mutation rate, consistent with an independent estimate from a deeper-timescale cephalopod comparison.

evolutionary biology↗

bioRxiv2026

The genome of the Pacific acorn barnacle provides insights into the evolution of extremely large populations

Population size is a key factor underlying the mode and tempo of evolution, particularly as it relates to the strength of selection and drift. While the mechanisms underlying the interactions between population size and selection have been studied in population genetics for over a century, empirical knowledge of these dynamics has been limited to species with small-to-moderate historical population sizes. This gap in knowledge highlights the need for empirical studies in systems with historically large population sizes and elevated diversity. The Pacific acorn barnacle (Balanus glandula) presents an exceptional model to study evolution in extremely large populations, exhibiting census sizes often exceeding the tens of thousands of individuals per square meter. We generated a new chromosome-level genome assembly for this species, which we leverage in one of the first large-scale genomic analyses in this system. This assembly reveals a highly polymorphic genome with over 3% heterozygosity. At a population level, B. glandula exhibits extreme levels of polymorphism, with nucleotide diversity surpassing 5% genome-wide in just a small collection of individuals. Across the genome, nucleotide diversity predictably decreases at functional elements, including both coding and non-coding sequences, likely reflecting strong purifying selection along the genome. At the same time, McDonald-Kreitman tests reveal that the majority of non-synonymous substitutions between barnacle species were driven by positive selection, consistent with the expected increase in the efficacy of selection in large populations. These remarkable levels of diversity set B. glandula as a unique model for the study of evolution at extreme demographic scales and highlights the importance of testing evolutionary theory across a wide variety of empirical systems.

evolutionary biology↗

bioRxiv2026

Estimation of adult census size from close-kin dyads in the malaria mosquito Anopheles gambiae

Accurate estimates of adult mosquito abundance are central to the design and evaluation of vector control strategies, yet they are difficult to obtain from natural populations. Conventional mark-recapture methods for estimating adult mosquito census size pose logistical and other challenges. A recently developed close-kin mark-recapture (CKMR) approach is a promising alternative. However, application of CKMR has been largely confined to long-lived vertebrates. Validation on empirical data from short-lived, highly fecund insects is lacking. Here, we apply CKMR to a natural population of Anopheles gambiae, the primary African malaria mosquito, sampled from a small island in Lake Victoria, Uganda. Using a high-diversity amplicon panel of genome-wide markers, we genotyped 714 adult mosquitoes collected over a 20-day period. We classified pairs to close-kin categories by implementing probabilistic latent-kinship estimation rather than using a deterministic threshold-based framework. We observe numerous full-sibling pairs but no parent-offspring pairs, a pattern indicative of extreme variance in reproductive success owing to frequent failure of mosquito egg clutches to produce adults. To adapt the CKMR framework to mosquito life history, we explicitly modeled the mosquito life cycle including the possibility of clutch failure. By incorporating probabilities of both parent-offspring and full-sibling relationships, we estimate an adult female census size of 26,887 (95% credible interval: 6,979 - 146,011), and a clutch failure probability of 97.6% (CrI: 91.3 - 99.6%). We use these estimates to calculate the predicted variance in reproductive success and effective population size. Through individual-based simulations we confirm our estimates and the necessity of modeling reproductive variance to explain observed kinship patterns. Our results demonstrate that CKMR can be applied successfully to mosquitoes, provided that appropriate adjustments are made to account for their natural history.

ecology↗

bioRxiv2026

Protocol for genotyping cephalopod sex using a skin swab and quantitative PCR

The coleoid cephalopods (octopus, cuttlefish, and squid) are emerging model organisms for neuroscience, development, and evolutionary biology. Determining their sex early in life is critical for population management and controlled experiments. Here, we present a protocol to non-invasively determine the sex of multiple cephalopod species as young as 3 hours post-hatching using a skin swab and quantitative PCR (qPCR). We describe steps for designing qPCR primers, swabbing live animals, extracting DNA, running the qPCR, and analyzing the results. For complete details on the use and execution of this protocol, please refer to Rubino et al.1 HighlightsO_LISwab live cephalopods as early as 3 hours post-hatching C_LIO_LIExtract DNA from cephalopod skin swabs C_LIO_LIPerform qPCR-based sex determination C_LIO_LIDesign and validate qPCR primers for new species C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=190 SRC="FIGDIR/small/715692v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@10797f5org.highwire.dtl.DTLVardef@18961a2org.highwire.dtl.DTLVardef@690df0org.highwire.dtl.DTLVardef@1122899_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2025

A non-invasive method to genotype cephalopod sex by quantitative PCR

Coleoid cephalopods (cuttlefish, octopus, and squid) are emerging model organisms in neuroscience, development, and evolutionary biology, and are of major economic importance in global fisheries. However, they are notoriously difficult and expensive to culture. The ability to determine sex early in development would enable more efficient and sustainable population management in both laboratory and wild settings. Here, we present a non-invasive method to genotype the sex of dwarf cuttlefish (Ascarosepion bandense) as young as three hours post-hatching using a skin swab and quantitative PCR assay, which detects a two-fold dosage difference between ZZ and Z0 sex chromosomes of males and females, respectively. Furthermore, we designed and validated primers for four additional cephalopod research species with assembled genomes (Octopus bimaculoides, Sepia officinalis, Euprymna berryi, Doryteuthis pealeii), and for a wild-caught species of economic value (Illex illecebrosus) using low-coverage whole genome sequencing data. This method enables accurate sex determination from hatchlings to adults across cephalopods, independent of genome quality or availability. HighlightsO_LIThe Z sex chromosome was identified in multiple cuttlefish, squid, and octopus species. C_LIO_LIA sensitive quantitative PCR assay can genotype ZZ/Z0 sex in each species. C_LIO_LILow-coverage short-read sequencing data is sufficient to design effective primers. C_LIO_LIqPCR on non-invasive skin swabs enables genotyping of living animals. C_LI

genetics↗

bioRxiv2025

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 stdpopsims 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.

evolutionary biology↗

bioRxiv2025

Sweeps in space: leveraging geographic data to identify beneficial alleles in Anopheles gambiae

As organisms adapt to environmental changes, natural selection modifies the frequency of non-neutral alleles. For beneficial mutations, the outcome of this process may be a selective sweep, in which an allele rapidly increases in frequency and perhaps reaches fixation within a population. Selective sweeps have well-studied effects on patterns of local genetic variation in panmictic populations, but much less is known about the dynamics of sweeps in continuous space. In particular, because limited movement across a landscape leads to unique patterns of population structure, spatial dynamics may influence the trajectory of selected mutations. Here, we use forward-in-time, individual-based simulations in continuous space to study the impact of space on beneficial mutations as they sweep through a population. In particular, we show that selection changes the joint distribution of allele frequency and geographic range occupied by a focal allele and demonstrate that this signal can be used to identify selective sweeps. We then leverage this signal to identify in-progress selective sweeps within the malaria vector Anopheles gambiae, a species under strong selection pressure from vector control measures. By considering space, we identify multiple previously undescribed variants with potential phenotypic consequences, including mutations impacting known IR-associated genes and altering protein structure and properties. Our results demonstrate a novel signal for detecting selection in spatial population genetic data that may have implications for genomic surveillance and understanding geographic patterns of genetic variation.

evolutionary biology↗

bioRxiv2024

Cephalopod Sex Determination and its AncientEvolutionary Origin Revealed by Chromosome-levelAssembly of the California two-spot Octopus

Octopuses, squids, and cuttlefishes - the coleoid cephalopods - are a remarkable branch in the tree of life whose members exhibit a repertoire of sophisticated behaviors (Hanlon and Messenger, 2018). As a clade, coleoids harbor an incredible variety of novel traits including the most complex nervous system among invertebrates, derived camera-type eyes, and rapid adaptive camouflage abilities (Young, 1971; Hanlon, 2007). The burst of evolutionary novelty that distinguishes cephalopods is even more striking in a phylogenetic context; cephalopods are a deeply diverged lineage that last share a common ancestor with other extant molluscs in the Cambrian period, roughly 550 million years ago (Ponder and Lindberg, 2008; Huang et al., 2022). With recent advances in genome sequencing technologies, we have the capability to explore the genomic foundations of cephalopod novelties. Here, using PacBio long-read sequencing of genomic DNA and IsoSeq full-length mRNA sequencing, we provide a novel chromosome-scale reference genome and annotation for a female California two-spot octopus (O. bimaculoides). Our assembly reveals that the female octopus has just one sex chromosome, consistent with a ZO karyotype, while the male has two (ZZ), providing the first evidence of genetic sex determination in cephalopods. We use our assembly and annotation in combination with existing genomic information from other cephalopods to create the first whole genome alignments from this group and demonstrate that the sex chromosome is of an ancient origin, before the radiation of extant cephalopods approximately 480 million years ago (Huang et al., 2022), and has been conserved to the present day in all cephalopod genomes available.

evolutionary biology↗

bioRxiv2022

Standing genetic variation and chromosome differences drove rapid ecotype formation in a major malaria vector

Species distributed across heterogeneous environments often evolve locally adapted ecotypes, but understanding of the genetic mechanisms involved in their formation and maintenance in the face of gene flow is incomplete. In Burkina Faso, the major African malaria mosquito Anopheles funestus comprises two strictly sympatric and morphologically indistinguishable yet karyotypically differentiated forms reported to differ in ecology and behavior. However, knowledge of the genetic basis and environmental determinants of An. funestus diversification was impeded by lack of modern genomic resources. Here, we applied deep whole-genome sequencing and analysis to test the hypothesis that these two forms are ecotypes differentially adapted to breeding in natural swamps versus irrigated rice fields. We demonstrate genome-wide differentiation despite extensive microsympatry, synchronicity, and ongoing hybridization. Demographic inference supports a split only ~1,300 years ago, closely following the massive expansion of domesticated African rice cultivation ~1,850 years ago. Regions of highest divergence, concentrated in chromosomal inversions, were under selection during lineage splitting, consistent with local adaptation. The origin of nearly all variation implicated in adaptation, including chromosomal inversions, substantially predates the ecotype split, suggesting that rapid adaptation was fueled mainly by standing genetic variation. Sharp inversion frequency differences likely facilitated adaptive divergence between ecotypes, both by suppressing recombination between opposing chromosomal orientations of the two ecotypes, and by maximizing recombination within the structurally monomorphic rice ecotype. Our results align with growing evidence from diverse taxa that rapid ecological diversification can arise from evolutionarily old structural genetic variants that modify genetic recombination. Significance StatementLocal adaptation to heterogeneous environments is pervasive, but its underlying genetic basis is incompletely understood. Within a major African malaria vector, An. funestus, are two chromosomally differentiated groups that are co-localized, morphologically indistinguishable, and reported to differ both in ecology and behavior relevant to malaria transmission and control. Progress in understanding the genetic basis and environmental determinants of vector diversification was impeded by the lack of modern genomic resources. Here we perform deep whole-genome sequencing on individuals from these groups, establishing that they are differentiated genome-wide in a manner consistent with recent ecotype formation associated with the exploitation of a new anthropogenic larval habitat. Such rapid malaria vector diversification was facilitated by standing genetic variation, including evolutionarily old chromosomal rearrangements.

evolutionary biology↗

bioRxiv2021

Comparative phylogeography of the freshwater mussels of the southeastern United States: reconstructing historic drainages using molecular data

Knowledge of species ages and their distribution enhance our understanding of processes that create and maintain species diversity at both local and regional levels. The largest family of freshwater mussels (Unionidae), reach their highest species diversity in drainages of the southeastern united states. By sequencing multiple loci from mussel species distributed throughout the drainages in this region, we attempt to uncover historical patterns of divergence and determine the role of vicariance events on the species formation in mussels and extend our hypothesis to freshwater animals in general. We analyzed 346 sequences from five genera encompassing 37 species. Species were sampled across 12 distinct drainages ending either in the Atlantic Ocean or the Gulf of Mexico. Overall the topologies of the different genera returned phylogenetic trees that were congruent with geographically contiguous drainages. The most common pattern was the grouping between the Atlantic slope and gulf coast drainages, however the Tennessee drainage was often the exception to this pattern grouping with the Atlantic slope. Most mussel species find a most recent common ancestor within a drainage before finding an ancestor between drainages. This supports the hypothesis of allopatric divergence followed by later burst of speciation within a drainage. Our estimated divergence times for the Atlantic-Gulf split agree with other studies estimating vicariance in fish species of the Atlantic and gulf coast.

evolutionary biology↗

bioRxiv2018

A chromosome-scale assembly of the major African malaria vector Anopheles funestus

BackgroundAnopheles funestus is one of the three most consequential and widespread vectors of human malaria in tropical Africa. However, the lack of a high-quality reference genome has hindered the association of phenotypic traits with their genetic basis in this important mosquito.\n\nFindingsHere we present a new high-quality An. funestus reference genome (AfunF3) assembled using 240x coverage of long-read single-molecule sequencing for contigging, combined with 100x coverage of short-read Hi-C data for chromosome scaffolding. The assembled contigs total 446 Mbp of sequence and contain substantial duplication due to alternative alleles present in the sequenced pool of mosquitos from the FUMOZ colony. Using alignment and depth-of-coverage information, these contigs were deduplicated to a 211 Mbp primary assembly, which is closer to the expected haploid genome size of 250 Mbp. This primary assembly consists of 1,053 contigs organized into 3 chromosome-scale scaffolds with an N50 contig size of 632 kbp and an N50 scaffold size of 93.811 Mbp, representing a 100-fold improvement in continuity versus the current reference assembly, AfunF1.\n\nConclusionThis highly contiguous and complete An. funestus reference genome assembly will serve as an improved basis for future studies of genomic variation and organization in this important disease vector.

bioinformatics↗

bioRxiv2018

Human Migration and the Spread of the Nematode Parasite Wuchereria bancrofti

The human disease lymphatic filariasis causes the debilitating effects of elephantiasis and hydrocele. Lymphatic filariasis currently affects the lives of 90 million people in 52 countries. There are three nematodes that cause lymphatic filariasis, Brugia malayi, B. timori, and Wuchereria bancrofti, but 90% of all cases of lymphatic filariasis are caused solely by W. bancrofti. Here we use population genomics to identify the geographic origin of W. bancrofti and reconstruct its spread. Previous genomic sequencing efforts have suffered from difficulties in obtaining Wb DNA. We used selective whole genome amplification to enrich W. bancrofti DNA from infected blood samples and were able to analyze 47 whole genomes of W. bancrofti from endemic locations in Haiti, Mali, Kenya, and Papua New Guinea. Our results are consistent with a Southeast Asia or East Asia origin for W. bancrofti spread around the globe by infecting migrating populations of humans. Austronesians probably introduced W. ban-crofti to Madagascar where later migrations moved it to continental Africa. From Africa, W. bancrofti spread to the New World during the transatlantic slave trade. The greater genetic diversity of W. bancrofti populations from Haiti are also consistent with genetic admixture from multiple source populations. Genome scans for locally adapted haplotypes identified genes associated with human immune suppression and insecticide sensitivity. Locally adapted haplotypes may provide a foundation to understand the distribution of W. bancrofti compared to that of other filarial nematodes and how populations may differ in response to eradication efforts.

evolutionary biology↗