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Long, A. D.

Publications and source records attributed to Long, A. D..

15 recordsLinked to original sources

Selection on cuticle color produces a genome-wide response that does not localize to known major genes in Drosophila

Complex traits are often deemed highly polygenic when a mapping study fails to localize the loci underlying them, but a result that fails to identify major genes can also reflect a lack of power. Cuticle color in Drosophila offers a natural test of this distinction, since genes of large effect segregate in natural populations. We selected for dark and light thoracic trident color for 16 generations in two populations of D. melanogaster and two of D. simulans, then used pooled sequencing to scan each genome for allele-frequency differentiation between selected and control lines. Selection produced a strong, genome-wide shift in allele frequencies in every population, exceeding the expectation under drift. Simulations demonstrate that our design has low power to detect major-effect genes, which may explain why we do not observe peaks localizing to known color genes. We further show that a highly significant peak in each genome, on chromosome 3L, is an artifact of chorion-gene amplification in the pooled adult females. A source of false signal in pool-seq studies that has not been reported before. Cosmopolitan inversions shifted in frequency under selection in the one population that carried them, but direct testing showed they did not inflate genome-wide noise, contradicting a common assumption in the field. Together, these results demonstrate that a diffuse, polygenic-type response can arise from a trait with known large-effect genes, and provide a quantitative account of why an evolve-and-resequence design can fail to localize even a well-characterized genetic architecture.

genetics↗

Xist expression in male Peromyscus leucopus is associated with restricted chromatin repression and incomplete X-to-autosome dosage compensation

X-chromosome inactivation (XCI) equalizes X-linked gene dosage between XX females and XY males in eutherian mammals and is canonically initiated by the long noncoding RNA Xist, which coats one X chromosome and recruits Polycomb-mediated chromatin silencing. Xist expression has therefore been considered female-specific and central to balancing gene dosage between two X chromosomes in females and a single X chromosome in males. However, emerging evidence suggests that Xist can also be expressed in male cells in both healthy and pathogenic contexts, raising fundamental questions about the scope and constraints of Xist function. Here, we identify robust Xist expression in somatic cells of male white-footed deermice (Peromyscus leucopus), a placental mammal with a conventional XY karyotype. Unlike the chromosome-wide Xist RNA coating observed in females, male Xist RNA localizes as discrete nuclear puncta and is detected across multiple tissues by RNA-seq, RT-qPCR, and RNA fluorescence in situ hybridization. Integrative transcriptomic and chromatin profiling using CUT&Tag and single-nucleus Paired-Tag reveals that male Xist expression is not merely incidental but has measurable regulatory consequences. In females, Xist expression is associated with chromosome-wide enrichment of the repressive histone mark H3K27me3 and transcriptional silencing of X-linked genes. In males, although Xist transcription is also associated with H3K27me3, this interaction does not induce global X-chromosome inactivation. Instead, Xist selectively represses a subset of dosage-sensitive neural and mitochondrial X-linked genes, while the majority of X-linked genes remain largely active. Notably, with persistent Xist activity, neither males nor females achieve complete X-to-autosome dosage compensation in P. leucopus. These findings establish P. leucopus as a mammalian system in which male Xist operates outside the canonical female-specific XCI pathway, revealing a gene-selective model of X-chromosome regulation. Our results challenge the universality of prevailing XCI models and suggest that partial, context-dependent Xist activity represents a viable and evolutionarily stable dosage compensation strategy in mammals. Author SummaryIn mammals, females and males differ in their sex chromosome: females have two X chromosomes, while males have one. This difference creates a potential imbalance in gene dosage, which can disrupt development if not properly controlled. Typically, females compensate by turning off one chromosome through a process called X-chromosome inactivation (XCI), which is triggered by the long noncoding RNA Xist. In parallel, a process known as X-to-autosome dosage compensation balances X-linked gene expression relative to the rest of the genome. Because XCI occurs in females, Xist has long been considered to function only in female cells and be inactive in males. Here, we show that Xist is persistently expressed in male white-footed deermice (Peromyscus leucopus), a cricetid rodent with a conventional XY sex chromosome system. Unlike the large Xist RNA "cloud" that covers the inactive X chromosome in females, Xist RNA in males appears as small, discrete spots in the nucleus. By combining gene expression and chromatin profiling, we find that male Xist associates with the repressive histone mark H3K27me3 but does not switch off the entire X chromosome. Instead, Xist in males selectively reduces the activity of a limited set of X-linked genes, while most X-linked genes remain active. Surprisingly, we also find that neither male nor female P. leucopus achieves complete balance between X-linked and autosomal gene expression, despite the long-held view that such balance is essential for mammalian viability. By uncovering functional Xist activity in males of a non-model species and demonstrating incomplete dosage compensation in both sexes, this work challenges the traditional view of XCI as a strictly female-specific strategy and reveals an unexpected flexibility in how mammals regulate the X chromosome.

genetics↗

The Illusion of Polygenicity in Poolseq studies: Insufficient Power Can Mask Simple Genetic Architectures

Pool-seq (pooled sequencing) combines DNA from multiple individuals prior to sequencing, enabling population-level allele frequency estimation without individual genotyping. When employed in Genome Wide Association Studies (GWAS) pool-seq faces a fundamental power limitation in that errors on allele frequency estimates are proportional to sequence coverage. Although this power limitation is widely appreciated, pool-seq GWAS lacking unambiguous hits are often interpreted as showing a highly polygenic genetic architecture. We illustrate the limitation of inferring architecture from Manhattan plots using empirical data from a Drosophila zinc resistance mapping study. Despite achieving an average of >700x sequencing coverage in case and control pools, a directly ascertained SNP-based GWAS failed to reveal clear evidence for major-effect loci. A unique feature of the dataset is that an advanced intercross multiparent population, with known founders, was employed as the base population for the GWAS. We leverage this unique population structure to carry out a second GWAS using imputed haplotype frequency estimates, which in contrast revealed localized regions of major effect. A third reanalysis of the same data using imputed SNP genotypes derived from the founder haplotype frequency estimates uncovered a similar major gene architecture. The key difference between approaches lies in statistical power: directly ascertained SNP counts have errors proportional to sequencing coverage whereas known founder imputation-based approaches can be considerably more accurate. This work highlights that insufficiently powered GWAS studies can mask simple genetic architectures and create the illusion of polygenicity through statistical noise alone.

genetics↗

Dermal fibroblast cultures recapitulate differences between deermice and mice in responses to a Toll-like receptor agonist

The white-footed deermouse Peromyscus leucopus is a primary reservoir for the agents of Lyme disease and other zoonoses in North America and manifests infection tolerance for the bacteria, protozoa, and viruses it hosts. In previous in vivo studies P. leucopus and M. musculus differed in the degree of sickness and profiles of biomarkers after exposure to bacterial lipopolysaccharide, a TLR4 agonist. As an approach for assessing immunity of mammals in nature and for longitudinal studies of colony animals in the laboratory, we evaluated using bulk and single cell RNA-seq primary dermal fibroblast cultures of P. leucopus and M. musculus in their short-term responses to a TLR2 agonist lipopeptide. By single cell RNA-seq cultures of both species comprised at least two types of fibroblasts, which were further differentiated in their responses to TLR agonists. With continued passage the mouse cell population lost viability, while the deermouse cell population spontaneously transformed into a cell line stably maintained under standard conditions. Bulk RNA-seq revealed distinctive profiles for deermouse and mouse cells in arginine metabolism gene expression, high baseline transcription of the antioxidant transcription factor Nfe2l2 (Nrf2) in deermouse fibroblasts, and the transcription of the aging-associated cytokine interleukin-11 in agonist-treated mouse fibroblasts but not deermouse fibroblasts. In both species cultures there was increased transcription of several types of endogenous retrovirus (ERV) and transposable elements (TE) after exposure to the agonist. The transcribed ERV/TE sequences in M. musculus cells were generally longer in length and with greater potential for translation than sequences in treated P. leucopus cells. The results indicate feasibility of this in vitro model for both laboratory- and field-based studies and that inherent differences between deermice and mice in cell-autonomous innate immune responses and ERV/TE activation can be demonstrated in dermal fibroblasts as well as the animals themselves.

immunology↗

Haplomatic: A Deep-Learning Tool for Adaptively Scaling Resolution in Genetic Mapping Studies

Genomic mapping studies face a fundamental trade-off between accuracy and resolution: increasing resolution improves localization of genetic signals but typically reduces the accuracy of frequency estimates due to increased statistical noise. In pooled sequencing studies, this trade-off impacts the accuracy of haplotype frequency estimates, a primary statistic used to identify genetic associations.To mitigate this trade-off we introduce Haplomatic, a novel deep-learning-based tool that adaptively adjusts genomic resolution by predicting haplotype frequency estimation error. Haplomatic generates simulated population data from known recombinant inbred line populations, predicts error through a transformer-based neural network, and adjusts resolution until a target error is achieved. Haplomatic achieves significant resolution gains (15% on average) over previous methods without sacrificing accuracy across multiple evaluated sequencing depths (10x, 50x, and 100x). To our knowledge, this is the first instance of applying deep learning to directly predict estimation error and dynamically scale resolution in trait mapping studies.

bioinformatics↗

High-throughput genetic mapping discovers novel zinc toxicity response loci in Drosophila melanogaster

Heavy metals are a widespread environmental contaminant, and even low levels of some metals can disrupt cellular processes and result in DNA damage. However, the consequences of metal exposure are variable among individuals, with susceptibility to metal toxicity representing a complex trait influenced by genetic and non-genetic factors. To uncover toxicity response genes, and better understand responses to metal toxicity, we sought to dissect resistance to zinc, a metal required for normal cellular function, which can be toxic at high doses. To facilitate efficient, powerful discovery of Quantitative Trait Loci (QTL) we employed extreme, or X-QTL mapping, leveraging a multiparental, recombinant Drosophila melanogaster population. Our approach involved bulk selection of zinc-resistant individuals, sequencing several replicate pools of selected and control animals, and identified QTL as genomic positions showing consistent allele frequency shifts between treatments. We successfully identified seven regions segregating for resistance/susceptibility alleles, and implicated several strong candidate genes. Phenotypic characterization of populations derived from selected or control animals revealed that our selection procedure resulted in greater egg-to-adult emergence, and a reduced developmental delay on zinc media. We subsequently measured emergence and development time for a series of midgut-specific RNAi gene knockdowns and matched genetic controls raised in both zinc-supplemented and normal media. This identified ten genes with significant genotype-by-treatment effects, including pHCl-2, which encodes a zinc sensor protein. Our work highlights recognized and novel contributors to zinc toxicity resistance in flies, and provides a pathway to a broader understanding of the biological impact of metal toxicity. ARTICLE SUMMARYStarting with an outbred Drosophila melanogaster population we repeatedly selected for groups of individuals showing high resistance to toxic levels of zinc during development. Pooled sequencing of these groups, along with matched groups of control individuals, enabled the identification of seven genomic regions - or QTL - contributing to zinc toxicity resistance. Midgut-specific RNAi of genes implicated by these QTL yielded ten genes impacting developmental traits in zinc-supplemented media, including MTF-1 (a metal response transcription factor) and pHCl-2 (a zinc sensor protein).

genetics↗

Discovery of malathion resistance QTL in Drosophila melanogaster using a bulked phenotyping approach

Drosophila melanogaster has proven an effective system with which to understand the evolutionary genetics and molecular mechanisms of insecticide resistance. Insecticide use has left signatures of selection in the fly genome, and both functional and quantitative genetics studies in the system have identified genes and variants associated with resistance. Here, we use D. melanogaster and leverage a bulk phenotyping and pooled sequencing "extreme QTL" approach to genetically dissect variation in resistance to malathion, an organophosphate insecticide. We resolve two QTL (Quantitative Trait Loci), one of which implicates allelic variation at the cytochrome P450 gene Cyp6g1, a strong candidate based on previous work. The second shows no overlap with hits from a previous genomewide association study (GWAS) for malathion resistance, recapitulating other studies showing that different strategies for complex trait dissection in flies can yield apparently different architectures. Notably, we see no genetic signal at the Ace gene. Ace encodes the target of organophosphate insecticide inhibition, and GWAS have identified strong Ace-linked associations with resistance. The absence of QTL implicating Ace here is most likely because our mapping population does not segregate for several of the known functional polymorphisms impacting resistance at Ace, perhaps because our population is derived from flies collected prior to the widespread use of organophosphate insecticides. Our fundamental approach can be an efficient, powerful strategy to dissect genetic variation in resistance traits. Nonetheless, studies seeking to interrogate contemporary insecticide resistance variation may benefit from deriving mapping populations from more recently collected strains.

genetics↗

Powerful, efficient QTL mapping in Drosophila melanogaster using bulked phenotyping and pooled sequencing

Despite the value of Recombinant Inbred Lines (RILs) for the dissection of complex traits, large panels can be difficult to maintain, distribute, and phenotype. An attractive alternative to RILs for many traits leverages selecting phenotypically-extreme individuals from a segregating population, and subjecting pools of selected and control individuals to sequencing. Under a bulked or extreme segregant analysis paradigm, genomic regions contributing to trait variation are revealed as frequency differences between pools. Here we describe such an extreme quantitative trait locus, or X-QTL mapping strategy that builds on an existing multiparental population, the DSPR (Drosophila Synthetic Population Resource), and involves phenotyping and genotyping a population derived by mixing hundreds of DSPR RILs. Simulations demonstrate that challenging, yet experimentally tractable X-QTL designs (>=4 replicates, >=5000 individuals/replicate, and a selection intensity of 5-10%) yield at least the same power as traditional RIL-based QTL mapping, and can localize variants with sub-centimorgan resolution. We empirically demonstrate the effectiveness of the approach using a 4-fold replicated X-QTL experiment that identifies 7 QTL for caffeine resistance. Two mapped X-QTL factors replicate loci previously identified in RILs, 6/7 are associated with excellent candidate genes, and RNAi knock-downs support the involvement of 4 genes in the genetic control of trait variation. For many traits of interest to drosophilists a bulked phenotyping/genotyping X-QTL design has considerable advantages.

genetics↗

The utility of a closed breeding colony of Peromyscus leucopus for dissecting complex traits

Although Peromyscus leucopus (deermouse) is not considered a genetic model system, its genus is well suited for addressing several questions of biologist interest, including the genetic bases of longevity, behavior, physiology, adaptation, and its ability to serve as a disease vector. Here we explore a diversity outbred approach for dissecting complex traits in Peromyscus leucopus, a non-traditional genetic model system. We take advantage of a closed colony of deer-mice founded from 38 individuals between 1982 and 1985 and subsequently maintained for 35+ years ([~]40-60 generations). From 405 low-pass ([~]1X) short-read sequenced deermice we accurately imputed genotypes at 17,751,882 SNPs. Conditional on observed genotypes for a subset of 297 individuals, simulations were conducted in which a QTL contributes 5% to a complex trait under three different genetic models. The power of either a haplotype- or marker-based statistical test was estimated to be 15-25% to detect the hidden QTL. Although modest, this power estimate is consistent with that of DO/HS mice and rat experiments for an experiment with [~]300 individuals. This limitation in QTL detection is mostly associated with the stringent significance threshold required to hold the genome-wide false positive rate low, as in all cases we observe considerable linkage signal at the location of simulated QTL, suggesting a larger panel would exhibit greater power. For the subset of cases where a QTL was detected, localization ability appeared very desirable at [~]1-2Mb. We finally carried out a GWAS on a demonstration trait, bleeding time. No tests exceeded the threshold for genome-wide significance, but one of four suggestive regions co-localizes with Von Willebrand factor. Our work suggests that complex traits can be dissected in founders-unknown P. leucopus colony mice in much the same manner as founders-known DO/HS mice and rats, with genotypes obtained from low pass sequencing data. Our results further suggest that the DO/HS approach can be powerfully extended to any system in which a founders-unknown closed colony has been maintained for several dozen generations.

genetics↗

The genetic basis of Drosophila melanogaster defense against Beauveria bassiana explored through evolve and resequence and quantitative trait locus mapping

Many of the molecular mechanisms for antifungal immunity in Drosophila melanogaster have been defined, but relatively little is known about the genetic basis for variation in antifungal immunity in natural populations. Using two population genetic approaches, Quantitative Trait Locus (QTL) Mapping and Evolve and Resequence (E&R), we explored the genetics underlying D. melanogaster immune defense against infection with the fungus Beauveria bassiana. Immune defense was highly variable both in the recombinant inbred lines from the Drosophila Synthetic Population Resource used for our QTL Mapping and in the synthetic outbred populations used in our E&R study. Survivorship of infection improved dramatically over just 10 generations in the E&R study, and continued to increase for an additional 9 generations, revealing a trade-off with uninfected longevity. Populations selected for increased defense against B. bassiana evolved cross resistance to a second, distinct B. bassiana strain but not to bacterial pathogens. The QTL mapping study revealed that sexual dimorphism in defense depends on host genotype, and the E&R study indicated that dimorphism also depends on the specific pathogen to which the host is exposed. Both the QTL Mapping and E&R experiments generated lists of potentially causal candidate genes, although these lists were non-overlapping.

genomics↗

HapSolo: An optimization approach for removing secondary haplotigs during diploid genome assembly and scaffolding.

BackgroundDespite marked recent improvements in long-read sequencing technology, the assembly of diploid genomes remains a difficult task. A major obstacle is distinguishing between alternative contigs that represent highly heterozygous regions. If primary and secondary contigs are not properly identified, the primary assembly will overrepresent both the size and complexity of the genome, which complicates downstream analysis such as scaffolding. ResultsHere we illustrate a new method, which we call HapSolo, that identifies secondary contigs and defines a primary assembly based on multiple pairwise contig alignment metrics. HapSolo evaluates candidate primary assemblies using BUSCO scores and then distinguishes among candidate assemblies using a cost function. The cost function can be defined by the user but by default considers the number of missing, duplicated and single BUSCO genes within the assembly. HapSolo performs hill climbing to minimize cost over thousands of candidate assemblies. We illustrate the performance of HapSolo on genome data from three species: the Chardonnay grape (Vitis vinifera), with a genome of 490Mb, a mosquito (Anopheles funestus; 200Mb) and the Thorny Skate (Amblyraja radiata; 2,650 Mb). ConclusionsHapSolo rapidly identified candidate assemblies that yield improvements in assembly metrics, including decreased genome size and improved N50 scores. Contig N50 scores improved by 35%, 9% and 9% for Chardonnay, mosquito and the thorny skate, respectively, relative to unreduced primary assemblies. The benefits of HapSolo were amplified by down-stream analyses, which we illustrated by scaffolding with Hi-C data. We found, for example, that prior to the application of HapSolo, only 52% of the Chardonnay genome was captured in the largest 19 scaffolds, corresponding to the number of chromosomes. After the application of HapSolo, this value increased to ~84%. The improvements for mosquito scaffolding were similar to that of Chardonnay (from 61% to 86%), but even more pronounced for thorny skate. We compared the scaffolding results to assemblies that were based on another published method for identifying secondary contigs, with generally superior results for HapSolo.

bioinformatics↗

Two synthetic 18-way outcrossed populations of diploid budding yeast with utility for complex trait dissection

Advanced generation multi-parent populations (MPPs) are a valuable tool for dissecting complex traits, having more power than GWAS to detect rare variants, and higher resolution than F2 linkage mapping. To extend the advantages of MPPs in budding yeast, we describe the creation and characterization of two outbred MPPs derived from eighteen genetically diverse founding strains. We carried out de novo assemblies of the genomes of the eighteen founder strains, such that virtually all variation segregating between these strains is known and represent those assemblies as Santa Cruz Genome Browser tracks. We discover complex patterns of structural variation segregating amongst the founders, including a large deletion within the vacuolar ATPase VMA1, several different deletions within the osmosensor MSB2, a series of deletions and insertions at PRM7 and the adjacent BSC1, as well as copy number variation at the dehydrogenase ALD2. Resequenced haploid recombinant clones from the two MPPs have a median unrecombined block size of 66kb, demonstrating the population are highly recombined. We pool sequenced the two MPPs to 3270X and 2226X coverage and demonstrate that we can accurately estimate local haplotype frequencies using pooled data. We further down-sampled the poolseq data to ~20-40X and show that local haplotype frequency estimates remain accurate, with median error rate 0.8% and 0.6% at 20X and 40X, respectively. Haplotypes frequencies are estimated much more accurately than SNP frequencies obtained directly from the same data. Deep sequencing of the two populations revealed that ten or more founders are present at a detectable frequency for over 98% of the genome, validating the utility of this resource for the exploration of the role of standing variation in the architecture of complex traits.

genetics↗

Structural variants exhibit allelic heterogeneity and shape variation in complex traits

Despite extensive effort to reveal the genetic basis of complex phenotypic variation, studies typically explain only a fraction of trait heritability. It has been hypothesized that individually rare hidden structural variants (SVs) could account for a significant fraction of variation in complex traits. To investigate this hypothesis, we assembled 14 Drosophila melanogaster genomes and systematically identified more than 20,000 euchromatic SVs, of which [~]40% are invisible to high specificity short read genotyping approaches. SVs are common in Drosophila genes, with almost one third of diploid individuals harboring an SV in genes larger than 5kb, and nearly a quarter harboring multiple SVs in genes larger than 10kb. We show that SV alleles are rarer than amino acid polymorphisms, implying that they are more strongly deleterious. A number of functionally important genes harbor previously hidden structural variants that likely affect complex phenotypes (e.g., Cyp6g1, Drsl5, Cyp28d1&2, InR, and Gss1&2).Furthermore, SVs are overrepresented in quantitative trait locus candidate genes from eight Drosophila Synthetic Population Resource (DSPR) mapping experiments. We conclude that SVs are pervasive in genomes, are frequently present as heterogeneous allelic series, and can act as rare alleles of large effect.

genomics↗

A new standard for crustacean genomes: the highly contiguous, annotated genome assembly of the clam shrimp Eulimnadia texana reveals HOX gene order and identifies the sex chromosome

Vernal pool clam shrimp (Eulimnadia texana) are a promising model system due to their ease of lab culture, short generation time, modest sized genome, a somewhat rare stable androdioecious sex determination system, and a requirement to reproduce via desiccated diapaused eggs. We generated a highly contiguous genome assembly using 46X of PacBio long read data and 216X of Illumina short reads, and annotated using Illumina RNAseq obtained from adult males or hermaphrodites. 85% of the 120Mb genome is contained in the largest 8 contigs, the smallest of which is 4.6Mb. The assembly contains 98% of transcripts predicted via RNAseq. This assembly is qualitatively different from scaffolded Illumina assemblies: it is produced from long reads that contain sequence data along their entire length, and is thus gap free. The contiguity of the assembly allows us to order the HOX genes within the genome, identifying two loci that contain HOX gene orthologs, and which approximately maintain the order observed in other arthropods. We identified a partial duplication of the Antennapedia gene adjacent to the few genes homologous to the Bithorax locus. Because the sex chromosome of an androdioecious species is of special interest, we used existing allozyme and microsatellite markers to identify the E. texana sex chromosome, and find that it comprises nearly half of the genome of this species. Linkage patterns indicate that recombination is extremely rare and perhaps absent in hermaphrodites, and as a result the location of the sex determining locus will be difficult to refine using recombination mapping.

genomics↗

Pooled population resequencing of clam shrimp (Eulimnadia texana) from different vernal pools reveals signatures of local adaptation

Vernal pool clam shrimp (Eulimnadia texana) are a promising model due to ease of culturing, short generation time, modest genome size, and obligate desiccated diapaused eggs. We collected Illumina data (Poolseq) from eleven pooled wild vernal pool clam shrimp populations. We hypothesized that restricted gene flow between vernal pools, separated by distances of 0.36 to 253 km, in concert with Poolseq data from each population, could be used to identify genes important in local adaptation. We adapted Bayenv2 to genome-wide Poolseq data and detected thirteen genomic regions showing a strong excess of population subdivision relative to a genome-wide background. We identified a set of regions that appear to be significantly diverged in allele frequency, above what is expected based on the relationships amongst the populations. Regions identified as significant were on average 9.5 kb in size and harbored 3.8 genes. We attempted to identify correlations between allele frequencies at each genomic region and environmental variables that may influence local adaptation in the sequences populations, but found that there were too many confounding environmental variables to draw strong conclusions. One such genomic region harbored an ortholog of Drosophila melanogaster CG10413, a gene predicted to have sodium/potassium/chloride activity. Finally, we demonstrate that the identified regions could not have been found with less powerful statistics, i.e. FST, or with a less contiguous genome assembly.

evolutionary biology↗