Biology subjects

Welch, J. J.

Publications and source records attributed to Welch, J. J..

17 recordsLinked to original sources

bioRxiv2026

Evolutionary genomics of a natural Wolbachia superinfection in the dengue mosquito Aedes albopictus

Aedes albopictus, an invasive mosquito vector of human pathogens, is naturally infected by two strains of the endosymbiotic bacterium Wolbachia, wAlbA and wAlbB. Here, we present a comprehensive genomic analysis of these Wolbachia strains, their associated plasmids, and host mitochondrial DNA (mtDNA). We observed extensive variation in Wolbachia densities--spanning over three orders of magnitude--indicating that infections often exist at extremely low levels and this variation is largely driven by environmental factors. Phylogenetic analyses revealed concordant evolutionary histories among mitochondrial, Wolbachia, and plasmid genomes, with no strong evidence for horizontal or paternal transmission. We estimate that the common ancestor of the superinfection existed [~]6,000--9,000 years ago. Patterns of genetic structure and divergence indicate that the subsequent geographical spread of Wolbachia has mirrored host population history. Comparative rate analyses revealed that wAlbA evolves more slowly than wAlbB, consistent with a reduced mutation rate. Despite the close relationship between wAlbB lineages, gene content in this strain is highly variable, with 184 genes exhibiting presence-absence or copy number variation across strains, including genes involved in inducing cytoplasmic incompatibility. Several of these genes reside in repetitive or prophage regions, indicating that transposable elements appear to drive structural genomic variation in Wolbachia populations. Together, our results highlight extensive natural diversity within Wolbachia populations and provide a foundation for understanding symbiont dynamics in nature and to inform the selection of strains for Wolbachia-based vector control programs.

evolutionary biology↗

bioRxiv2025

Ancient metagenomics reveals subglacial microbiomes driven by oxygen availability

Beneath Earths glaciers and ice sheets lies an aquatic realm where ice, water, rock, and microbial life interact, driving chemical reactions that can collectively influence the global carbon cycle, polar oceans, and climate. Efforts to describe subglacial microbiomes have been limited by the challenge of cleanly drilling through hundreds of meters of ice, such that only a few sites have ever been directly sampled. Here we use ancient metagenomics to present the first spatiotemporal characterization of subglacial bacteria and archaea. We extracted DNA from 25 subglacial precipitate samples, sedimentary accumulations of minerals that form in subglacial waters prior to exposure on the surface. The precipitates studied here formed between 16,000 and 570,000 years ago beneath the Antarctic and Laurentide Ice Sheets. We show that postmortem DNA damage patterns can reliably distinguish between ancient subglacial and modern surface taxa, and that this approach can enable reconstruction of subglacial microbiomes across poles and ice ages. Our analysis suggests that subglacial microbiomes are dominated by chemolithoautotrophs, ultra-small microbes, and taxa closely related to those found in deep subsurface or extreme cold and hypersaline environments. These microbiomes split into two distinct clusters distinguished by oxygen availability and redox conditions, irrespective of geography or age. Geochemical measurements of subglacial redox state, measured either indirectly via precipitate calcite Fe and Mn concentrations or directly via water reduction potential, reproduce these same two clusters exactly. Our findings describe how subglacial water redox states are held in balance by microbes, hydrology, and oxygen input from fresh subglacial meltwater, that we interpret to be controlled by the ice sheet response to past climate variations.

genomics↗

bioRxiv2025

Predicting Hybrid Fitness: the Effects of Ploidy and Complex Ancestry

Hybridization between divergent populations places alleles in novel genomic contexts. This can inject adaptive variation - which is useful for breeders and conservationists - or reduce fitness, leading to reproductive isolation. Most theoretical work on hybrids involves haploid or diploid hybrids between two parental lineages, but real-world hybridization is often more complex. We introduce a simple fitness landscape model to predict hybrid fitness with arbitrary ploidy and an arbitrary number of hybridizing lineages. We test our model on published data from maize (Zea mays) and rye (Secale cereale), including hybrids between multiple inbred lines, both as diploids and synthetic tetraploids. Quantitative predictions for the effects of inbreeding, and the strength of progressive heterosis, are well supported. This suggests that the model captures the important properties of dosage and genetic interactions, and may help to unify theories of heterosis and reproductive isolation.

evolutionary biology↗

bioRxiv2025

When will hybridization bring long-term benefits?

Hybridization between distinct populations injects genetic variation, which can bring fitness benefits. However, these benefits often appear as F1 heterosis, and might not persist into later generations; especially since, as emphasized by classical theories, heterosis can be caused in several different ways. Here, we study the long-term outcomes of hybridization, using a model that allows us to tune several properties of the genetic variation, including the strength and architecture of heterosis, thereby unifying the classical theories. Results suggest that long-term outcomes depend mainly on the variance in epistasis, which determines the ruggedness of the fitness landscape, but without affecting the heterosis. Together, results suggest that the study of heterosis may tell us relatively little about the long-term outcomes of hybridization, and that hybridization might bring benefits more often than has been assumed.

evolutionary biology↗

bioRxiv2023

Transient overdominance, coadaptation, and the fixability of heterosis

Many species pairs form F1 hybrids that are fitter than their parents. Such heterosis can arise if the parents carry recessive deleterious mutations; and in this case, the heterosis should be fixable, because selecting out the deleterious mutations yields a high-fitness homozygous hybrid. However, heterosis might not be fixable if caused by overdominance (an intrinisic advantage to heterozygosity) or if the parents contain coadapted gene complexes. These alternatives have been tested with introgression lines, where small regions of genome are scored in the heterospecific background. We develop predictions for introgression line data under a simple model of phenotypic selection, where parents diverge by fixing deleterious mutations via genetic drift. We show that this simple process can generate complex patterns in the data, misleading tests for both overdominance and coadaptation. We also suggest new ways to analyse the data to overcome these difficulties. Reanalyses of published data from Solanum and Gossypium suggest that the model can account for the qualitative patterns observed, though not the extent of apparent overdominance.

evolutionary biology↗

bioRxiv2022

Absence of Staphylococcus aureus in wild populations of fish supports a spillover hypothesis

Staphylococcus aureus is a human commensal and opportunistic pathogen that can also colonise and cause disease in other animal species. In humans and livestock, where S. aureus is most studied, there is evidence that strains have different host specialisms. Recent studies have found S. aureus in many wild animals, including fish, whose physiologies and ecologies are very different to humans. However, it remains unclear whether S. aureus is adapted to and persisting within these species, or if its presence is due to repeated spillover from a source population. Distinguishing between these two scenarios is important for both public health and conservation. In this study we looked for evidence to support the hypothesis that the presence of S. aureus in fish is the result of spillover, through testing for the presence of S. aureus in fish that are isolated from likely source populations. We sampled 123 brown trout and their environment from 16 sites in the Scottish Highlands. All these sites are remote and have very low populations density of wild animal species known to carry S. aureus, but were selected to represent variable levels of exposure to humans, avian and livestock species. While our sampling methods readily detected S. aureus from the external and internal organs of a farmed fish, we did not detect S. aureus in any wild trout or their environment from any of the 16 sites. We sequenced 12 S. aureus isolates from the farmed fish. While they were all from clonal-complex 45, the genomic diversity was high enough to indicate repeated acquisition from a source population. In addition, the presence of a {varphi}Sa3 prophage containing a human immune evasion cluster indicates a recent history of these isolates within human populations. Taken together, our results support the presence of S. aureus in fish being due to spillover from other host populations, rather than the adaptation of S. aureus to aquaculture or fish populations. Given predictions that fish consumption will increase, more whole genome sequencing of S. aureus in aquaculture is needed to understand the presence of S. aureus in these environments and to mitigate the risk to fish and human health.

microbiology↗

bioRxiv2022

How does the mode of evolutionary divergence affect reproductive isolation?

When divergent populations interbreed, the outcome will be affected by the genomic and phenotypic differences that they have accumulated. In this way, the mode of evolutionary divergence between populations may have predictable consequences for the fitness of their hybrids, and so for the progress of speciation. To investigate these connections, we present a new analysis of hybridization under Fishers geometric model, making few assumptions about the allelic effects that differentiate the hybridizing populations. Results show that the strength and form of postzygotic reproductive isolation (RI) depend on just two properties of the evolutionary changes, which we call the "total amount" and "net effect" of change, and whose difference quantifies the similarity of the changes at different loci, or their tendency to act in the same phenotypic direction. It follows from our results that identical patterns of RI can arise in different ways, since different evolutionary histories can lead to the same total amount and net effect of change. Nevertheless, we show how these estimable quantities do contain some information about the history of divergence, and that - thanks to Haldanes Sieve - the dominance and additive effects contain complementary information. Impact SummaryWhen populations of animals or plants evolve differences in their genomes or traits, the nature of the differences will help to determine whether they can continue to interbreed. For example, the hybrid offspring may be infertile, or unlikely to survive to reproductive age, meaning that the two populations remain distinct from one another even after mating. However, in some cases the hybrids may be more fertile than their parents or have some other reproductive advantage. In this study, we use a mathematical model to relate hybrid fitness to the evolved differences separating the parents. We find that the outcome depends on just two properties of these differences, which capture the "total amount" and the "net effect" of evolutionary change. We then show that different evolutionary divergence scenarios or modes can lead to the exact same hybrid fitness. On the other hand, we can still make some inferences about the history of divergence by observing certain properties of hybrid fitness. Determining the relationship between hybrid fitness and the mode of evolutionary divergence will help to understand how new species form, to plan conservation interventions such as moving individuals between isolated populations to increase their adaptive potential, and to understand how existing species might interact when their habitats overlap, for example due to climate change or other human impacts.

evolutionary biology↗

bioRxiv2020

Genome reduction is associated with bacterial pathogenicity across different scales of temporal and ecological divergence

Emerging bacterial pathogens threaten global health and food security, and so it is important to ask whether these transitions to pathogenicity have any common features. We present a systematic study of the claim that pathogenicity is associated with genome reduction and gene loss. We compare broad-scale patterns across all bacteria, with detailed analyses of Streptococcus suis, a zoonotic pathogen of pigs, which has undergone multiple transitions between disease and carriage forms. We find that pathogenicity is consistently associated with reduced genome size across three scales of divergence (between species within genera, and between and within genetic clusters of S. suis). While genome reduction is most often associated with bacterial endosymbionts, other correlates of symbiosis (reduced metabolic capacity, GC content, and the expansion of non-coding elements) are not found consistently in pathogens, and genome reduction in pathogens cannot be attributed to changes in intracellularity or host restriction. Together, our results indicate that genome reduction is a predictive marker of pathogenicity in bacteria, and that the causes and consequences of genome reduction in pathogens are sometimes distinct from those in endosymbionts.

evolutionary biology↗

bioRxiv2020

Linking phenotype, genotype and ecology: antimicrobial resistance in the zoonotic pathogen Streptococcus suis

Antimicrobial resistance (AMR) is among the gravest threats to human health and food security worldwide. Pigs receive more antimicrobials than most other livestock, and are a known source of zoonotic disease. We studied AMR in Streptococcus suis, a commensal found in most pigs, but which can also cause serious disease in both pigs and humans. We obtained replicated measures of Minimum Inhibitory Concentration (MIC) for 16 antibiotics, across a panel of 678 isolates, from the major pig-producing regions of the world. For several drugs, there was no natural separation into "resistant" and "susceptible", highlighting the need to treat MIC as a quantitative trait. We found differences in MICs between countries, consistent with their patterns of antimicrobial usage. AMR levels were high even for drugs not used to treat S. suis, with many multi-drug resistant isolates. And similar levels of resistance were found in pigs and humans from zoonotic regions. We next used whole genome sequences for each isolate to identify 43 candidate resistance determinants, 22 of which were novel in S. suis. The presence of these determinants explained most of the variation in MIC. But there were also complications, including epistatic interactions, where known resistance alleles had no effect in some genetic backgrounds. Beta-lactam resistance involved many variants of small effect, appearing in a characteristic order. Our results confirm the potential for genomic data to aid in the fight against AMR, but also demonstrate that it cannot be tackled one species or one drug at a time.

microbiology↗

bioRxiv2019

The Geometry and Genetics of Hybridization

We develop an analytical framework for predicting the fitness of hybrid genotypes, based on Fishers geometric model. We first show that all of the model parameters have a simple geometrical and biological interpretation. Hybrid fitness decomposes into intrinsic effects of hybridity and heterozygosity, and extrinsic measures of the (local) adaptedness of the parental lines; and all of these correspond to distances in a phenotypic space. We also show how these quantities change over the course of divergence, with convergence to a characteristic pattern of intrinsic isolation. Using individual-based simulations, we then show that the predictions apply to a wide range of population genetic regimes, and divergence conditions, including allopatry and parapatry, local adaptation and drift. We next connect our results to the quantitative genetics of line crosses in variable or patchy environments. This relates the geometrical distances to quantities that can be estimated from cross data, and provides a simple interpretation of the "composite effects" in the quantitative genetics partition. Finally, we develop extensions to the model, involving selectively-induced disequilibria, and variable phenotypic dominance. The geometry of fitness landscapes provides a unifying framework for understanding speciation, and wider patterns of hybrid fitness.

evolutionary biology↗

bioRxiv2019

Local introgression at two spatial scales in mosaichybrid zones of mussels

The Mytilus complex of marine mussel species forms a mosaic of hybrid zones, found across temperate regions of the globe. This allows us to study "replicated" instances of secondary contact between closely-related species. Previous work on this complex has shown that local introgression is both widespread and highly heterogeneous, and has identified SNPs that are outliers of differentiation between lineages. Here, we developed an ancestry-informative panel of such SNPs. We then compared their frequencies in newly-sampled populations, including samples from within the hybrid zones, and parental populations at different distances from the contact. Results show that close to the hybrid zones, some outlier loci are near to fixation for the heterospecific allele, suggesting enhanced local introgression, or the local sweep of a shared ancestral allele. Conversely, genomic cline analyses, treating local parental populations as the reference, reveal a globally high concordance among loci, albeit with a few signals of asymmetric introgression. Enhanced local introgression at specific loci is consistent with the early transfer of adaptive variants after contact, possibly including asymmetric bistable variants (Dobzhansky-Muller incompatibilities), or haplotypes loaded with fewer deleterious mutations. Having escaped one barrier, however, these variants can be trapped or delayed at the next barrier, confining the introgression locally. These results shed light on the decay of species barriers during phases of contact.

evolutionary biology↗

bioRxiv2019

Structure of herpes simplex virus pUL7:pUL51, a conserved complex required for efficient herpesvirus assembly

Herpesviruses are an ancient family of highly-prevalent human and animal pathogens that acquire their membrane envelopes in the cytoplasm of infected cells. While multiple conserved viral proteins are known to be required for efficient herpesvirus production, many of these proteins lack identifiable structural homologues and the molecular details of herpesvirus assembly remain unclear. We have characterized the complex of assembly proteins pUL7 and pUL51 from herpes simplex virus (HSV)-1, an -herpesvirus, using multi-angle light scattering and small-angle X-ray scattering with chemical crosslinking. HSV-1 pUL7 and pUL51 form a stable 1:2 complex that is capable of higher-order oligomerization in solution. We solved the crystal structure of this complex, revealing a core heterodimer comprising pUL7 bound to residues 41-125 of pUL51. While pUL7 adopts a previously-unseen compact fold, the extended helix-turn-helix conformation of pUL51 resembles the cellular endosomal complex required for transport (ESCRT)-III component CHMP4B, suggesting a direct role for pUL51 in promoting membrane scission during virus assembly. We demonstrate that the interaction between pUL7 and pUL51 homologues is conserved across human -, {beta}- and {gamma}-herpesviruses, as is their association with trans-Golgi membranes in cultured cells. However, pUL7 and pUL51 homologues do not form complexes with their respective partners from different virus families, suggesting that the molecular details of the interaction interface have diverged. Our results demonstrate that the pUL7:pUL51 complex is conserved across the herpesviruses and provide a structural framework for understanding its role in herpesvirus assembly.\n\nSignificance StatementHerpesviruses are extremely common human pathogens that cause diseases ranging from cold sores to cancer. Herpesvirus acquire their membrane envelope in the cytoplasm via a conserved pathway, the molecular details of which remain unclear. We have solved the structure of a complex between herpes simplex virus (HSV)-1 proteins pUL7 and pUL51, two proteins that are required for efficient HSV-1 assembly. We show that formation of this complex is conserved across distantly-related human herpesviruses, as is the association of these homologues with cellular membranes that are used for virion assembly. While pUL7 adopts a previously-unseen fold, pUL51 resembles key cellular membrane-remodeling complex components, suggesting that the pUL7:pUL51 complex may play a direct role in deforming membranes to promote virion assembly.

microbiology↗

bioRxiv2019

Replicated anthropogenic hybridisations reveal parallel patterns of admixture in marine mussels.

Human-mediated transport creates secondary contacts between genetically differentiated lineages, bringing new opportunities for gene exchange. When similar introductions occur in different places, they provide informally replicated experiments for studying hybridisation. We here examined 4279 Mytilus mussels, sampled in Europe and genotyped with 77 ancestry informative markers. We identified a type of introduced mussels, called dock mussels, associated with port habitats and displaying a particular genetic signal of admixture between M. edulis and the Mediterranean lineage of M. galloprovincialis. These mussels exhibit similarities in their ancestry compositions, regardless of the local native genetic backgrounds and the distance separating colonised ports. We observed fine-scale genetic shifts at the port entrance, at scales below natural dispersal distance. Such sharp clines do not fit with migration-selection tension zone models, and instead suggest habitat choice and early stage adaptation to the port environment, possibly coupled with connectivity barriers. Variations in the spread and admixture patterns of dock mussels seem to be influenced by the local native genetic backgrounds encountered. We next examined departures from the average admixture rate at different loci, and compared human-mediated admixture events, to naturally admixed populations and experimental crosses. When the same M. galloprovincialis background was involved, positive correlations in the departures of loci across locations were found; but when different backgrounds were involved, no or negative correlations were observed. While some observed positive correlations might be best explained by a shared history and saltatory colonisation, others are likely produced by parallel selective events. Altogether, genome-wide effect of admixture seems repeatable, and more dependent on genetic background than environmental context. Our results pave the way towards further genomic analyses of admixture, and monitoring of the spread of dock mussels both at large and fine spacial scales.

evolutionary biology↗

bioRxiv2018

The distribution of epistasis on simple fitness landscapes

Fitness interactions between mutations can influence a populations evolution in many different ways. While epistatic effects are difficult to measure precisely, important information about the overall distribution is captured by the mean and variance of log fitnesses for individuals carrying different numbers of mutations. We derive predictions for these quantities from simple fitness landscapes, based on models of optimizing selection on quantitative traits. We also explore extensions to the models, including modular pleiotropy, variable effects sizes, mutational bias, and maladaptation of the wild-type. We illustrate our approach by reanalysing a large data set of mutant effects in a yeast snoRNA. Though characterized by some strong epistatic interactions, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have little effect on the evolutionary dynamics in this system. We also show how the amount of epistasis depends on both the underlying fitness landscape, and the distribution of mutations, and so it is expected to vary in consistent ways between new mutations, standing variation, and fixed mutations.

evolutionary biology↗

bioRxiv2018

Wolbachia, Cardinium and climate: an analysis of global data

Bacterial secondary symbionts are very common in terrestrial arthropods, but infection levels vary widely among populations. Experiments and within-species comparisons both suggest that environmental temperature might be important in explaining this variation. To investigate the importance of temperature, at broad geographical and taxonomic scales, we extended a global database of terrestrial arthropods screened for Wolbachia and Cardinium. Our final data set contained data from 114,297 arthropods (>2,500 species) screened for Wolbachia and 17,011 arthropods (>800 species) screened for Cardinium, including population samples from 137 different countries, and with mean temperatures varying from - 6.5 to 29.2{degrees}C. In insects and relatives, Cardinium infection showed a clear and consistent tendency to increase with temperature. For Wolbachia, a tendency to increase with temperature in temperate climates, is counteracted by reduced prevalence in the tropics, resulting in a weak negative trend overall. We discuss the implications of these results for natural and introduced symbionts, in regions affected by climate change.

ecology↗

bioRxiv2018

Assessing the impact of high-throughput sequencing strategy and model complexity on ABC-inferred demographic history in mussels

Genome-scale diversity data are increasingly available in a variety of biological systems, and can be used to reconstruct the past evolutionary history of species divergence. However, extracting the full demographic information from these data is not trivial, and requires inferential methods that account for the diversity of coalescent histories throughout the genome. Here, we evaluate the potential and limitations of one such approach. We reexamine a well-known system of mussel sister species, using the joint site frequency spectrum (jSFS) of synonymous mutations computed either from exome capture or RNA-seq, in an Approximate Bayesian Computation (ABC) framework. We first assess the best sampling strategy (number of: individuals, loci, and bins in the jSFS), and show that model selection is robust to variation in the number of individuals and loci. In contrast, different binning choices when summarizing the joint site frequency spectrum, strongly affect the results: including classes of low and high frequency shared polymorphisms can more effectively reveal recent migration events. We then take advantage of the flexibility of ABC to compare more realistic models of speciation, including variation in migration rates through time (i.e. periodic connectivity) and across genes (i.e. genome-wide heterogeneity in migration rates). We show that these models were consistently selected as the most probable, suggesting that mussels have experienced a complex history of gene flow during divergence and that the species boundary is semi-permeable. Our work provides a comprehensive evaluation of ABC demographic inference in mussels based on the coding site frequency spectrum, and supplies guidelines for employing different sequencing techniques and sampling strategies. We emphasize, perhaps surprisingly, that inferences are less limited by the volume of data, than by the way in which they are analyzed.

evolutionary biology↗

bioRxiv2017

Coadapted genomes and selection on hybrids: Fisher’s geometric model explains a variety of empirical patterns

Natural selection plays a variety of roles in hybridization, speciation and admixture. Most research has focused on two extreme cases: crosses between closely-related inbred lines, where hybrids are fitter than their parents, or crosses between effectively isolated species, where hybrids suffer severe breakdown. Many natural populations must fall into intermediate regimes, with multiple types of gene interaction, but these are more difficult to study. Here, we develop a simple fitness landscape model, and show that it naturally interpolates between previous modeling approaches, involving mildly deleterious recessives, or discrete hybrid incompatibilities. The model yields several new predictions, which we test with genomic data from Mytilus mussels, and published data from plants (Zea, Populus and Senecio) and animals (Mus, Teleogryllus and Drosophila). The predictions are generally supported, and the model explains surprising empirical patterns that have been observed in both extreme regimes. Our approach enables novel and complementary uses of genome-wide datasets, which do not depend on identifying outlier loci, or \"speciation genes\" with anomalous effects. Given its simplicity and flexibility, and its predictive successes with a wide range of data, the approach should be readily extendable to other outstanding questions in the study of hybridization.

evolutionary biology↗