Biology subjects

Kim, B. Y.

Publications and source records attributed to Kim, B. Y..

At least 19 recordsLinked to original sources

bioRxiv2026

Horizontal gene transfer rivals gene duplication as a source of anti-parasitoid immune innovation in the Drosophilidae

Macroparasites are among the most important agents of natural selection in their host populations, but anti-macroparasite immunity is poorly understood. Vinegar flies (Drosophilidae) and the parasitoid wasps that infect them are emerging models to study how animals defend against macroparasite attack. The canonical anti-parasitoid immune mechanism in insects is melanotic encapsulation, which involves cell-mediated encapsulation coupled with prophenoloxidase (PPO)-mediated melanization of parasitoid embryos. Recently, we discovered the horizontal transfer (HGT) of a bacterially-derived humoral anti-parasitoid effector, Cytolethal distending toxin B (CdtB), across insects, including four drosophilid lineages. Here, we assessed the prevalence of these two anti-parasitoid immune mechanisms in 406 drosophilid and four outgroup species. We found that melanotic encapsulation was relatively uncommon among species with known anti-parasitoid immune responses. While PPO duplications were found in 88 species, the most salient PPO gene underlying melanotic encapsulation, PPO3, was restricted to Drosophila melanogaster and its close relatives. PPO genes were present in lower copy number per genome in the Drosophilidae than in outgroup lineages and evolved slowly. We found cdtB in the genomes of 93 species and estimated at least 11 independent cdtB gains across the Drosophilidae as early as ~44 mya and as recently as ~6 mya. cdtB acquisition was subsequently associated with higher net diversification rates in some clades. We conclude that humoral immune effectors may play a more important role than previously appreciated in anti-parasitoid immunity in insects and that an immune innovation arising repeatedly from HGT is potentially associated with the evolutionary success of these animals.

evolutionary biology↗

bioRxiv2026

Ex vivo human tumor slices more accurately predict patient responses to an oncolytic virus than in vivo mouse models

Immunotherapies, including oncolytic viruses (OV), are promising therapies that can enhance anti-tumor immune responses. However, preclinical success of immunotherapies in mouse models has not always translated to clinical benefit in cancer patients. This study compared preclinical efficacy and mechanism of action for ASP9801, a vaccinia virus expressing IL-7 and IL-12, using mouse models of colorectal cancer (CRC) in vivo and in human organotypic tumor slice models ex vivo. The murine surrogate for ASP9801 significantly reduced tumor volumes in treated and abscopal tumors in two different CRC models in vivo (MC38 and RO100). Treatment efficacy was accentuated when combined with anti-PD1 treatment, and single-cell RNA sequencing analysis revealed depletion of tumor cells and increased T cell infiltration and activation in both treated and abscopal tumors. However, human tissue analysis ex vivo (E-slices) using PDX models and patient samples showed that ASP9801 is not effective in CRC, consistent with clinical trial results. On the other hand, ASP9801 was highly effective in GBM, indicating indication-specific efficacy of ASP9801, and how E-slice assays can be used to identify treatment-sensitive indications. This study demonstrates the superiority of E-slices over mouse models for predicting clinical response and its utility in planning clinical trials.

cancer biology↗

bioRxiv2026

Triplex DNA and inverted repeats cause long-read sequencing bias against simple satellite DNA

We recently showed that Oxford Nanopore Technologies (ONT) and Pacific Biosciences (PacBio) have very strong sequencing bias against simple satellites, probably caused by single-stranded DNA folding into non-canonical (non-B) structures during sequencing. Here we extend these observations by computational and experimental approaches in the Drosophila and human genomes. We found that (i) only a small subset of simple satellites cause sequencing bias; many satellites (e.g., (ACTGGG)n) are benign and easily sequenced. (ii) The biases most likely are caused by two distinct non-B DNA structures: triplex DNA formed by some, but not all, AG-rich satellites (only those predicted to form strong mirror repeats), and hairpins formed by some, but not all, AT-rich satellites (only those predicted to form fairly strong inverted repeats). (iii) The correlation between the predicted stability of these non-B structures, and the strength of sequencing bias indicates that non-B DNA is indeed the culprit. (iv) The likely source of these non-B structures is single-stranded DNA formed during ONT and PacBio sequencing, and hence its removal might solve the bias. We tested this by adding single-strand binding protein to ONT sequencing, and found that it irreversibly kills the flow cells. (v) A recent sequencing effort in Drosophila melanogaster using very high depth Ultra-Long ONT sequencing (967x) still failed to assemble many genes located near satellite blocks. Brute-force will not solve the problem; instead, further investment is needed by the sequencing companies to achieve truly unbiased sequencing.

genomics↗

bioRxiv2026

Long-term isolation and introgression shape the genomic distinctiveness of Rice's Whale

Species complex demographic history, including population size changes, isolation and gene flow, shapes patterns of genetic variation and deleterious load. In small and declining populations, understanding these processes is critical for predicting inbreeding depression and extinction risk. The Rices whale (Balaenoptera ricei) is a newly described baleen whale species resident to the heavily industrialized Gulf of Mexico, with a current abundance estimate of 51 (95 % CI: 20-130) individuals, making it one of the most endangered baleen whales globally. Using whole-genome sequences from 25 individuals, we reconstructed the evolutionary and demographic history of Rices whale and assessed its genomic health. Our analyses reinforce its distinctiveness from Brydes whales, and suggest that Rices whale has persisted as a small and isolated population in the Gulf of Mexico for tens of thousands of years. Despite its long-term small effective population size, genomes show modest impacts of inbreeding, including few long runs of homozygosity. We detected a distinct pulse of introgression [~]350 years ago from a Brydes whale-like lineage that resulted in windows of elevated heterozygosity in Rices whale, though it did not alter the burden of deleterious variation. Forward simulations indicate that a recent population collapse to [~]100 breeding individuals places the species at high risk of future inbreeding and genomic erosion unless population growth occurs. These findings highlight that while gene flow can increase genetic diversity, demographic recovery is essential to mitigate long-term genomic risks, underscoring the importance of management actions that promote sustained population growth.

genomics↗

bioRxiv2025

Manual validation finds only ultra-long long-read sequencing enables faithful, population-level structural variant calling in Drosophila melanogaster euchromatin

The increasing accessibility of long-read sequencing and the rapid development of automated variant callers are promoting the generation of population-level structural variation data. However, the effect of the length of long-reads on automated variant callers is not well understood, especially for non-human species. Here we show that only ultra-long long-reads, with read N50s greater than 50kb, are capable of accurately calling structural variants of any size in Drosophila melanogaster euchromatin. We used Oxford Nanopore Technologies to long-read sequence eight, inbred D. melanogaster strains to extremely high coverage (mean 238x), and we then downsampled the reads to create read pools of different length distributions. We assembled genomes from these different read-length pools and used both read-based and assembly-based structural variant callers to call variants in each strain before merging the calls into population-level datasets. We manually validated over 2,300 putative structural variants to assess the accuracy of the variant calls across the different read-length distributions and to determine the cause and rates of false positive errors. We found that more than half of all structural-variant-calling errors stem from misaligned reads that contain mobile elements or are located in repetitive and complex regions. Overall, our results show that long reads need to be at least three times longer than the repetitive and mobile elements found in the genome in order to accurately call structural variants at the population level.

genomics↗

bioRxiv2025

Predicting the functional impact of single nucleotide variants in Drosophila melanogaster with FlyCADD

Understanding how genetic variants drive phenotypic differences is a major challenge in molecular biology. Single nucleotide polymorphisms form the vast majority of genetic variation and play critical roles in complex, polygenic phenotypes, yet their functional impact is poorly understood from traditional gene-level analyses. In-depth knowledge about the impact of single nucleotide polymorphisms has broad applications in health and disease, population genomic and evolution studies. The wealth of genomic data and available functional genetic tools make Drosophila melanogaster an ideal model species for studies at single nucleotide resolution. However, to leverage these resources for genotype-phenotype research and potentially combine it with the power of functional genetics, it is essential to develop techniques to predict functional impact and causality of single nucleotide variants. Here, we present FlyCADD, a functional impact prediction tool for single nucleotide variants in D. melanogaster. FlyCADD, based on the Combined Annotation-Dependent Depletion (CADD) framework, integrates over 650 genomic features - including conservation scores, GC content, and DNA secondary structure - into a single metric reflecting a variants predicted impact on evolutionary fitness. FlyCADD provides impact prediction scores for any single nucleotide variant on the D. melanogaster genome. We demonstrate the power of FlyCADD for typical applications, such as the ranking of phenotype-associated variants to prioritize variants for follow-up studies, evaluation of naturally occurring polymorphisms, and refining of CRISPR-Cas9 experimental design. FlyCADD provides a powerful framework for interpreting the functional impact of any single nucleotide variant in D. melanogaster, thereby improving our understanding of genotype-phenotype connections. Article summarySingle nucleotide polymorphisms (SNPs), the most common form of genomic variation, drive micro-evolution and adaptation. In Drosophila melanogaster, many SNPs are associated with phenotypes, yet functional validation is rare and experimentally challenging. FlyCADD is a new impact prediction tool that integrates D. melanogaster genome annotations into a single score predicting SNP impact. FlyCADD can be applied to distinguish causal from neutral variants, prioritize variants prior to functional studies, and to interpret natural variation, thereby improving understanding of genotype-phenotype relationships.

genomics↗

bioRxiv2025

Strong sequencing bias in Nanopore and PacBio prevents assembly of Drosophila melanogaster Y-linked genes

Nanopore and PacBio are generally considered free from sequence composition bias, a key factor - alongside read length - that explains their success in producing high quality genome assemblies. However, our study reveals a systematic failure of both technologies to sequence and assemble specific exons of Drosophila melanogaster genes, indicating an overlooked limitation. Namely, multiple Y-linked exons are nearly or completely absent from raw reads produced by deep sequencing with state-of-the-art Nanopore (10.4 flow cells, 200x coverage) and PacBio (HiFi 50x). The same exons are accurately assembled using Illumina 65x coverage. We found that these missing exons are consistently located near simple satellite sequences, where sequencing fails at multiple levels: read initiation (very few reads start within satellite regions), read elongation (satellite-containing reads are shorter on average), and base-calling (quality scores drop as sequencing enters a satellite sequence). These findings challenge the assumption that long-read technologies is unbiased and reveal a critical barrier to assembling sequences near repetitive regions. As large-scale sequencing projects move towards telomere-to-telomere assemblies in a wide range of organisms, recognizing and addressing these biases will be important to achieving truly complete and accurate genomes. Additionally, the underrepresented Y-linked exons provides a valuable benchmark for refining those sequencing technologies while improving the assembly of the highly heterochromatic and often neglected Drosophila Y chromosome.

genomics↗

bioRxiv2024

Evolutionary consequences of domestication on the selective effects of new amino acid changing mutations in canids

The domestication of wild canids led to dogs no longer living in the wild but instead residing alongside humans. Extreme changes in behavior and diet associated with domestication may have led to the relaxation of the selective pressure on traits that may be less important in the domesticated context. Thus, here we hypothesize that strongly deleterious mutations may have become less deleterious in domesticated populations. We test this hypothesis by estimating the distribution of fitness effects (DFE) for new amino acid changing mutations using whole-genome sequence data from 24 gray wolves and 61 breed dogs. We find that the DFE is strikingly similar across canids, with 26-28% of new amino acid changing mutations being neutral/nearly neutral (|s| < 1e-5), and 41-48% under strong purifying selection (|s| > 1e-2). Our results are robust to different model assumptions suggesting that the DFE is stable across short evolutionary timescales, even in the face of putative drastic changes in the selective pressure caused by artificial selection during domestication and breed formation. On par with previous works describing DFE evolution, our data indicate that the DFE of amino acid changing mutations depends more strongly on genome structure and organismal characteristics, and less so on shifting selective pressures or environmental factors. Given the constant DFE and previous data showing that genetic variants that differentiate wolf and dog populations are enriched in regulatory elements, we speculate that domestication may have had a larger impact on regulatory variation than on amino acid changing mutations. Significance StatementDomestication of dogs to live alongside humans resulted in a dramatic shift in the pressures of natural selection. Thus, comparing dogs and wolves offers a unique opportunity to assess how these shifts in selective pressures have impacted the fitness effects of individual mutations. In this project, we use patterns of genetic variation in dogs and wolves to estimate the distribution of fitness effects (DFE), or the proportions of amino acid changing mutations with varying fitness effects throughout the genome. Overall, we find that the DFE for amino acid changing mutations is similar between dogs and wolves. Even genes thought to be most affected by domestication show a similar DFE, suggesting that the DFE has remained stable over evolutionary time.

genetics↗

bioRxiv2024

Evolutionary adaptation under climate change: Aedes sp. demonstrates potential to adapt to warming

Climate warming is expected to shift the distributions of mosquitoes and mosquito-borne diseases, facilitating expansions at cool range edges and contractions at warm range edges. However, whether mosquito populations could maintain their warm edges through evolutionary adaptation remains unknown. Here, we investigate the potential for thermal adaptation in Aedes sierrensis, a congener of the major disease vector species that experiences large thermal gradients in its native range, by assaying tolerance to prolonged and acute heat exposure, and its genetic basis in a diverse, field-derived population. We found pervasive evidence of heritable genetic variation in acute heat tolerance, which phenotypically trades off with tolerance to prolonged heat exposure. A simple evolutionary model based on our data shows that the estimated maximum rate of evolutionary adaptation in mosquito heat tolerance typically exceeds that of projected climate warming under idealized conditions. Our findings indicate that natural mosquito populations may have the potential to track projected warming via genetic adaptation. Prior climate-based projections may thus underestimate the range of mosquito and mosquito-borne disease distributions under future climate conditions. Significance StatementGlobal change may have profound impacts on the distribution of mosquito-borne diseases, which collectively cause nearly one million deaths each year. Accurately predicting these impacts is critical for disease control preparedness, and will depend, in part, on whether mosquitoes can adapt to warming--a key open question. Using experimental and genomic data from a relative of major vector species that already experiences a wide thermal gradient, we find that natural mosquito populations have high levels of genetically-based variation in heat tolerance that could enable adaptation on pace with warming. Incorporating the potential for adaptive responses may therefore be necessary for accurate predictions of mosquito-borne disease distributions under warming, which is critical for preparing mosquito control interventions.

evolutionary biology↗

bioRxiv2024

Retracing the horizontal transfer of a novel innate immune factor in Drosophila

Immune systems are among the most dynamically evolving traits across the tree of life, and long-lived macroparasites play an outsized role in shaping animal immunity. Even without adaptive immunity, insects have evolved potent innate immune strategies to neutralize such enemies, including nematodes and parasitoid wasps. One such strategy relies on endosymbioses between insects and toxin-expressing bacteria. Here, we use genome editing in Drosophila melanogaster to retrace the evolution of two of such toxins -- cytolethal distending toxin B (cdtB) and apoptosis inducing protein of 56kDa (aip56) -- that were horizontally transferred from bacteriophages to insects. We found that a cdtB::aip56 fusion gene (fusionB), which is conserved in Drosophila ananassae subgroup species, dramatically promoted fly survival and suppressed wasp development when expressed in D. melanogaster immune tissues. FusionB, a functional nuclease, was secreted into the host hemolymph where it targeted the parasitoid embryos serosal tissue and is to our knowledge the first humoral anti-parasitoid toxin in Drosophila. When expressed ubiquitously, fusionB slowed development in late stage fly larvae and eventually killed flies, pointing to the salience of regulatory constraint in preventing autoimmunity. Our findings demonstrate how horizontal gene transfer, in the right regulatory context, can instantly provide new and potent innate immune modules in animals.

evolutionary biology↗

bioRxiv2024

Complex structural variation and behavioral interactions underpin a balanced sexual mimicry polymorphism

How phenotypic diversity originates and persists within populations are classic puzzles in evolutionary biology. While polymorphisms hypothesized to be under balancing selection segregate within many species, it remains rare for the genetic basis and the selective forces to both be known for the same trait, leading to an incomplete understanding of many classes of polymorphisms. Here, we uncover the genetic architecture of a balanced sexual mimicry polymorphism and identify behavioral mechanisms that may be involved in its maintenance in the swordtail fish Xiphophorus birchmanni. We find that [~]40% of X. birchmanni males develop a "false gravid spot", a melanic pigmentation pattern that mimics the "pregnancy spot" associated with sexual maturity in female live-bearing fish. Using genome-wide association mapping, we detect a single intergenic region associated with variation in the false gravid spot, which is upstream of kitlga, a gene involved in melanophore patterning. By performing long-read sequencing within and across populations, we identify complex structural rearrangements between alternate alleles at this locus. The false gravid spot haplotype drives increased allele-specific expression of kitlga, which provides a mechanistic explanation for the increased melanophore abundance that causes the spot. By studying social interactions in the laboratory and in nature, we find that males with the false gravid spot experience less aggression; however, they also receive increased attention from other males and are disdained by females. These behavioral interactions may play a role in maintaining this phenotypic polymorphism in natural populations. We speculate that structural variants affecting gene regulation may be an underappreciated driver of balanced polymorphisms across diverse species.

evolutionary biology↗

bioRxiv2023

Single-fly assemblies fill major phylogenomic gaps across the Drosophilidae Tree of Life

Long-read sequencing is driving rapid progress in genome assembly across all major groups of life, including species of the family Drosophilidae, a longtime model system for genetics, genomics, and evolution. We previously developed a cost-effective hybrid Oxford Nanopore (ONT) long-read and Illumina short-read sequencing approach and used it to assemble 101 drosophilid genomes from laboratory cultures, greatly increasing the number of genome assemblies for this taxonomic group. The next major challenge is to address the laboratory culture bias in taxon sampling by sequencing genomes of species that cannot easily be reared in the lab. Here, we build upon our previous methods to perform amplification-free ONT sequencing of single wild flies obtained either directly from the field or from ethanol-preserved specimens in museum collections, greatly improving the representation of lesser studied drosophilid taxa in whole-genome data. Using Illumina Novaseq X Plus and ONT P2 sequencers with R10.4.1 chemistry, we set a new benchmark for inexpensive hybrid genome assembly at US $150 per genome while assembling genomes from as little as 35 ng of genomic DNA from a single fly. We present 183 new genome assemblies for 179 species as a resource for drosophilid systematics, phylogenetics, and comparative genomics. Of these genomes, 62 are from pooled lab strains and 121 from single adult flies. Despite the sample limitations of working with small insects, most single-fly diploid assemblies are comparable in contiguity (>1Mb contig N50), completeness (>98% complete dipteran BUSCOs), and accuracy (>QV40 genome-wide with ONT R10.4.1) to assemblies from inbred lines. We present a well-resolved multi-locus phylogeny for 360 drosophilid and 4 outgroup species encompassing all publicly available (as of August 2023) genomes for this group. Finally, we present a Progressive Cactus whole-genome, reference-free alignment built from a subset of 298 suitably high-quality drosophilid genomes. The new assemblies and alignment, along with updated laboratory protocols and computational pipelines, are released as an open resource and as a tool for studying evolution at the scale of an entire insect family.

evolutionary biology↗

bioRxiv2023

Decoupled evolution of the Sex Peptide gene family and Sex Peptide Receptor in Drosophilidae

Across internally fertilising species, males transfer ejaculate proteins that trigger wide-ranging changes in female behaviour and physiology. Much theory has been developed to explore the drivers of ejaculate protein evolution. The accelerating availability of high-quality genomes now allows us to test how these proteins are evolving at fine taxonomic scales. Here, we use genomes from 264 species to chart the evolutionary history of Sex Peptide (SP), a potent regulator of female post-mating responses in Drosophila melanogaster. We infer that SP first evolved in the Drosophilinae subfamily and has followed markedly different evolutionary trajectories in different lineages. Outside of the Sophophora-Lordiphosa, SP exists largely as a single-copy gene with independent losses in several lineages. Within the Sophophora-Lordiphosa, the SP gene family has repeatedly and independently expanded. Up to seven copies, collectively displaying extensive sequence variation, are present in some species. Despite these changes, SP expression remains restricted to the male reproductive tract. Alongside, we document considerable interspecific variation in the presence and morphology of seminal microcarriers that, despite the critical role SP plays in microcarrier assembly in D. melanogaster, appear to be independent of changes in the presence/absence or sequence of SP. We end by providing evidence that SPs evolution is decoupled from that of its receptor, SPR, in which we detect no evidence of correlated diversifying selection. Collectively, our work describes the divergent evolutionary trajectories that a novel gene has taken following its origin and finds a surprisingly weak coevolutionary signal between a supposedly sexually antagonistic protein and its receptor. SignificanceIn insects, seminal fluid proteins (SFPs) induce dramatic changes in female behaviour and physiology. How this degree of male influence evolves remains a central question in sexual selection research. Here, we map the origin and diversification of the posterchild insect SFP, the Drosophila Sex Peptide (SP), across 264 Diptera species. We show that SP first evolved at the base of the subfamily Drosophilinae and followed markedly different evolutionary trajectories in different lineages, including accelerated change in sequence, copy number, and genomic position in the lineage leading to D. melanogaster. By contrast, we find only limited, uncorrelated change in the sequence of its receptor, SPR, arguing against a sexually antagonistic coevolutionary arms race between these loci on macroevolutionary time scales.

evolutionary biology↗

bioRxiv2023

Enrichment of hard sweeps on the X chromosome compared to autosomes in six Drosophila species

The X chromosome, being hemizygous in males, is exposed one third of the time increasing the visibility of new mutations to natural selection, potentially leading to different evolutionary dynamics than autosomes. Recently, we found an enrichment of hard selective sweeps over soft selective sweeps on the X chromosome relative to the autosomes in a North American population of Drosophila melanogaster. To understand whether this enrichment is a universal feature of evolution on the X chromosome, we analyze diversity patterns across six commonly studied Drosophila species. We find an increased proportion of regions with steep reductions in diversity and elevated homozygosity on the X chromosome compared to autosomes. To assess if these signatures are consistent with positive selection, we simulate a wide variety of evolutionary scenarios spanning variations in demography, mutation rate, recombination rate, background selection, hard sweeps, and soft sweeps, and find that the diversity patterns observed on the X are most consistent with hard sweeps. Our findings highlight the importance of sex chromosomes in driving evolutionary processes and suggest that hard sweeps have played a significant role in shaping diversity patterns on the X chromosome across multiple Drosophila species.

evolutionary biology↗

bioRxiv2023

Unraveling the Genomic Diversity and Evolutionary History of Captive Tigers in the United States

Genomic studies of rare and endangered species have focused broadly on describing diversity patterns and resolving phylogenetic relationships, with the overarching goal of informing conservation efforts. However, few studies have investigated the genomic diversity potentially housed in captive populations. For tigers (Panthera tigris) in particular, captive individuals vastly outnumber those in the wild, yet the diversity of the captive population remains largely unexplored. Here, we present the first large-scale genetic study of the private (non-zoo) captive tiger population in the United States (U.S.), also known as Generic tigers. We find that the U.S. Generic tiger population has an admixture fingerprint comprising all six extant wild tiger subspecies (P. t. altaica, Amur; P. t. tigris, Bengal; P. t. corbetti, Indochinese; P. t. jacksoni, Malayan; P. t. amoyensis, South China; P. t. sumatrae, Sumatran). We show that the Generic tiger population has a comparable amount of genetic diversity to most wild subspecies, relatively few private variants, and fewer deleterious mutations. We also observe inbreeding coefficients that are similar to wild populations, suggesting that inbreeding in captive populations is not pervasive, although there are some individuals within the Generic population that are substantially inbred. Our results elucidate the admixture history of the Generic tiger population in the U.S. Additionally, we develop a reference panel for tigers and show that it can be used with imputation to accurately distinguish individuals and assign ancestry even with ultra-low coverage (0.25x) data. The study and reference panel will provide a resource to assist in tiger conservation efforts.

evolutionary biology↗

bioRxiv2023

Antigenic diversity in malaria parasites is maintained on extrachromosomal DNA

Sequence variation among antigenic var genes enables Plasmodium falciparum malaria parasites to evade host immunity. Using long sequence reads from haploid clones from a mutation accumulation experiment, we detect var diversity inconsistent with simple chromosomal inheritance. We discover putatively circular DNA that is strongly enriched for var genes, which exist in multiple alleles per locus separated by recombination and indel events. Extrachromosomal DNA likely contributes to rapid antigenic diversification in P. falciparum.

genetics↗

bioRxiv2022

MaLAdapt reveals novel targets of adaptive introgression from Neanderthals and Denisovans in worldwide human populations

Adaptive introgression (AI) facilitates local adaptation in a wide range of species. Many state-of-the-art methods detect AI with ad-hoc approaches that identify summary statistic outliers or intersect scans for positive selection with scans for introgressed genomic regions. Although widely used, these outlier-based approaches are vulnerable to a high false-negative rate as the power of different methods vary, especially for complex introgression events. Moreover, population genetic processes unrelated to AI, such as background selection or heterosis, may create similar genomic signals as AI, compromising the reliability of methods that rely on neutral null distributions. In recent years, machine learning (ML) methods have been increasingly applied to population genetic questions. Here, we present an ML-based method called MaLAdapt for identifying AI loci from genome-wide sequencing data. Using an Extra-Trees Classifier algorithm, our method combines information from a large number of biologically meaningful summary statistics to capture a powerful composite signature of AI across the genome. In contrast to existing methods, MaLAdapt is especially well-powered to detect AI with mild beneficial effects, including selection on standing archaic variation, and is robust to non-AI selection sweeps, heterosis, and demographic misspecifications. Further, MaLAdapt outperforms existing methods for detecting AI based on the analysis of simulated data and on a validation of empirical signals through visual impaction of haplotype patterns. We apply MaLAdapt to the 1000 Genomes Project human genomic data, and discover novel AI candidate regions in non-African populations, including genes that are enriched in functionally important biological pathways regulating metabolism and immune responses.

evolutionary biology↗

bioRxiv2022

Secondary reversion to sexual monomorphism associated with tissue-specific loss of doublesex expression

Animal evolution is characterized by frequent turnover of sexually dimorphic traits - new sex- specific characters are gained, and some ancestral sex-specific characters are lost, in many lineages. In insects, sexual differentiation is predominantly cell-autonomous and depends on the expression of the doublesex (dsx) transcription factor. In most cases, cells that transcribe dsx have the potential to undergo sex-specific differentiation, while those that lack dsx expression do not. Consistent with this mode of development, comparative research has shown that the origin of new sex-specific traits can be associated with the origin of new spatial domains of dsx expression. In this report, we examine the opposite situation - a secondary loss of the sex comb, a male-specific grasping structure that develops on the front legs of some drosophilid species. We show that, while the origin of the sex comb is linked to an evolutionary gain of dsx expression in the leg, sex comb loss in a newly identified species of Lordiphosa (Drosophilidae) is associated with a secondary loss of dsx expression. We discuss how the developmental control of sexual dimorphism affects the mechanisms by which sex-specific traits can evolve.

evolutionary biology↗