Biology subjects

Barry, P.

Publications and source records attributed to Barry, P..

8 recordsLinked to original sources

bioRxiv2026

Inversions support both parallel and location-specific adaptations in snail ecotypes

Replicated hybrid zones between ecotypes established over within shore environmental gradients provide an opportunity to study the genomic architecture of barriers to gene flow. The marine snail Littorina fabalis segregates locally into dwarf and large ecotypes over wave-exposure gradients on northwestern European shores. Previous work focusing on a hybrid zone in Sweden revealed strong genetic differentiation between the ecotypes, concentrated in 12 putative chromosomal inversions. Here we compare the Swedish hybrid zone with samples from France distributed across a similar wave-exposed gradient. Our aims were to test if similar exposure gradients promote parallel ecotype distributions and hybrid zones, and if similar genomic architectures contribute to divergence and adaptation across the gradients. Unpredictably, we found that the shell size cline was reversed in France compared to Sweden, with small individuals occupying the more-sheltered end of the environmental gradient in Sweden but the more-exposed end in France. We also observed a cline in shell colour in France, whereas nearly all Swedish snails were yellow. Using whole-genome sequencing, we found similar levels of genetic differentiation between ecotypes in both places. Most of the differences were accounted for by the same 15 inversions, and the arrangement clines showed similar associations to the wave-exposure gradient in both hybrid zones. These inversions were enriched in SNPs differentiating the ecotypes that were either specific to one hybrid zone or showed reversed cline patterns between zones. Genome-wide association studies (GWAS) detected significant associations between genomic regions within inversions and shell size in Sweden, while one inversion was associated with colour in France. Our results show that the same inversions play a dual role: they support ecotype differences across similar environmental gradients in distant locations, while also contribute site-specific variation contributing to local adaptation.

evolutionary biology↗

bioRxiv2024

Ecotype formation in the European anchovy fuelled by structural variants of different origins and genetic interactions with a southern lineage

The formation of ecotypes is shaped by mechanisms that reduce gene flow through complex interactions between ecological, historical, and genomic factors. In the European anchovy (Engraulis encrasicolus), marine and coastal ecotypes have been identified in the North-East Atlantic and Mediterranean Sea, yet the genomic basis of their divergence remains unclear. Here, we present the first genome-scale analysis of this species complex, integrating whole-genome sequencing (WGS) and RAD-seq data from populations across its distribution range. In addition to the marine and coastal ecotypes, we identify a previously undetected lineage which is present in southern Morocco, the Canary Islands and even in South Africa. This southern Atlantic lineage exhibits a gradient of admixture with northern populations near the Atlantic-Mediterranean transition zone. Genomic differentiation landscapes reveal large regions of high linkage disequilibrium, likely corresponding to thirteen structural variants (SVs) segregating within or between the lineages. Notably, three of the six SVs contributing to the gene flow barrier between northern ecotypes originated in the southern lineage, supporting a partially shared evolutionary history between the coastal ecotype and the southern lineage. Our findings suggest that anchovy ecotype divergence has been shaped by a combination of ancient structural variation, admixture, and local adaptation. This study highlights how SVs that arose between geographically isolated lineages can act as key genetic elements in ecotype formation, reinforcing reproductive isolation through distinct evolutionary pathways.

evolutionary biology↗

bioRxiv2023

Divergence and gene flow history at two large chromosomal inversions involved in long-snouted seahorse ecotype formation

Chromosomal inversions can play an important role in divergence and reproductive isolation by building and maintaining distinct allelic combinations between evolutionary lineages. Alternatively, they can take the form of balanced polymorphisms that segregate within populations over time until one arrangement becomes fixed. Many questions remain about how these different inversion polymorphisms arise, how the mechanisms responsible for their long-term maintenance interact, and ultimately how they contribute to speciation. The long-snouted seahorse (Hippocampus guttulatus) is known to be subdivided into partially isolated lineages and marine-lagoon ecotypes differentiated by structural variation. Here, we aim to characterise these differences along the entire genome, and to reconstruct their history and role in ecotype formation. We generated a near chromosome-level reference genome assembly and described genome-wide patterns of diversity and divergence through the analysis of 112 whole-genome sequences from Atlantic, Mediterranean, and Black Sea populations. Combined with linked-read sequencing data, we found evidence for two megabase-scale chromosomal inversions showing contrasted allele frequency patterns across the species range. We reveal that these inversions represent ancient intraspecific polymorphisms, one being likely maintained by divergent selection, and the other by associative overdominance. Haplotype combinations characterising Mediterranean ecotypes also suggest the existence of potential interactions between the two inversions, possibly driven by environment-dependent fitness effects. Lastly, we detected gene flux eroding divergence between inverted alleles at varying levels between the two inversions, with a likely impact on their long-term dynamics.

genomics↗

bioRxiv2021

Leveraging eDNA metabarcoding to characterize nearshore fish communities in Southeast Alaska: Do habitat and tide matter?

Nearshore marine habitats are critical for a variety of commercially important fish species, but assessing fish communities in these habitats is costly and time-intensive. Here, we leverage eDNA metabarcoding to characterize nearshore fish communities near Juneau, Alaska, USA, a high-latitude environment with large tidal swings, strong currents, and significant freshwater input. We investigated whether species richness and community composition differed across three habitat types (sand beaches, eelgrass beds, and rocky shorelines) and between high and low tides. Additionally, we tested whether replication of field samples and PCR reactions influenced either species richness or composition. We amplified a 12S mitochondrial locus in our samples and identified 188 fish amplicon sequence variants (ASVs), corresponding to 21 unique taxa, with approximately half of these resolved to single species. Species richness and composition inferred from eDNA differed substantially among habitats, with rock habitats containing fewer taxa and fewer overall detections than sand and eelgrass habitats. The effect of tide was more subtle and suggested a habitat-tide interaction, with differences in taxa between tides largely isolated to sand habitats. Power analyses indicated that additional field sampling is useful to detect subtle changes in species richness such as those due to tide. PCR replicates typically identified a small number of additional taxa. The most notable result from our study was that shore morphology appeared to substantially influence community structure. Rocky shorelines sloped quickly into deep water, while sand and eelgrass habitats descended much more gradually. We hypothesize that differences in taxa observed among habitats were largely due to lack of mixing between bottom and surface water, providing further evidence that eDNA transport is minimal and that many marine eDNA detections are derived from highly localized sampling locations. We suggest that future studies could explore the extent to which habitat and nearshore physical processes influence eDNA detections.

genomics↗

bioRxiv2020

Life tables shape genetic diversity in marine fishes

Genetic diversity varies among species due to a range of eco-evolutionary processes that are not fully understood. The neutral theory predicts that the amount of variation in the genome sequence between different individuals of the same species should increase with its effective population size (Ne). In real populations, multiple factors that modulate the variance in reproductive success among individuals cause Ne to differ from the total number of individuals (N). Among these, age-specific mortality and fecundity rates are known to have a direct impact on the [Formula] ratio. However, the extent to which vital rates account for differences in genetic diversity among species remains unknown. Here, we addressed this question by comparing genome-wide genetic diversity across 16 marine fish species with similar geographic distributions but contrasted lifespan and age-specific survivorship and fecundity curves. We sequenced the whole genome of 300 individuals to high coverage and assessed their genome-wide heterozygosity with a reference-free approach. Genetic diversity varied from 0.2 to 1.4% among species, and showed a negative correlation with adult lifespan, with a large negative effect (slope = - 0.089 per additional year of lifespan) that was further increased when brooding species providing intense parental care were removed from the dataset (slope = -0.129 per additional year of lifespan). Using published vital rates for each species, we showed that the [Formula] ratio resulting simply from life tables parameters can predict the observed differences in genetic diversity among species. Using simulations, we further found that the extent of reduction in [Formula] with increasing adult lifespan is particularly strong under Type III survivorship curves (high juvenile and low adult mortality) and increasing fecundity with age, a typical characteristic of marine fishes. Our study highlights the importance of vital rates as key determinants of species genetic diversity levels in nature. Author SummaryUnderstanding how and why genetic diversity varies across species has important implications for evolutionary and conservation biology. Although genomics has vastly improved our ability to document intraspecific DNA sequence variation at the genome level, the range and determinants of genetic diversity remain partially understood. At a broad taxonomic scale in eukaryotes, the main determinants of diversity are reproductive strategies distributed along a trade-off between the quantity and the size of offspring, which likely affect the long-term effective population size. Long-lived species also tend to show lower genetic diversity, a result which has however not been reported by comparative studies of genetic diversity at lower taxonomic scales. Here, we compared genetic diversity across 16 European marine fish species showing marked differences in longevity. Adult lifespan was the best predictor of genetic diversity, with genome-wide average heterozygosity ranging from 0.2% in the black anglerfish (L. budegassa) to 1.4% in the European pilchard (S. pilchardus). Using life tables summarizing age-specific mortality and fecundity rates for each species, we showed that the variance in lifetime reproductive success resulting from age structure, iteroparity and overlapping generations can predict the range of observed differences in genetic diversity among marine fish species. We then used computer simulations to explore how combinations of vital rates characterizing different life histories affect the relationship between adult lifespan and genetic diversity. We found that marine fishes that display high juvenile but low adult mortality, and increasing fecundity with age, are typically expected to show reduced genetic diversity with increased adult lifespan. However, the impact of adult lifespan vanished using bird and mammal-like vital rates. Our study shows that variance in lifetime reproductive success can have a major impact on species genetic diversity and explains why this effect varies widely across taxonomic groups.

evolutionary biology↗

bioRxiv2019

Bayesian estimation of Lassa virus epidemiological parameters: implications for spillover prevention using wildlife vaccination

Lassa virus is a significant burden on human health throughout its endemic region in West Africa, with most human infections the result of spillover from the primary rodent reservoir of the virus, the natal multimammate mouse, M. natalensis. Here we develop a Bayesian methodology for estimating epidemiological parameters of Lassa virus within its rodent reservoir and for generating probabilistic predictions for the efficacy of rodent vaccination programs. Our approach uses Approximate Bayesian Computation (ABC) to integrate mechanistic mathematical models, remotely-sensed precipitation data, and Lassa virus surveillance data from rodent populations. Using simulated data, we show that our method accurately estimates key model parameters, even when surveillance data are available from only a relatively small number of points in space and time. Applying our method to previously published data from two villages in Guinea estimates the time-averaged R0 of Lassa virus to be 1.658 and 1.453 for rodent populations in the villages of Bantou and Tanganya, respectively. Using the posterior distribution for model parameters derived from these Guinean populations, we evaluate the likely efficacy of vaccination programs relying on distribution of vaccine-laced baits. Our results demonstrate that effective and durable reductions in the risk of Lassa virus spillover into the human population will require repeated distribution of large quantities of vaccine. Author SummaryLassa virus is a chronic source of illness throughout West Africa, and is considered to be a threat for widespread emergence. Because most human infections result from contact with infected rodents, interventions that reduce the number of rodents infected with Lassa virus represent promising opportunities for reducing the public health burden of this disease. Evaluating how well alternative interventions are likely to perform is complicated by our relatively poor understanding of viral epidemiology within the reservoir population. Here we develop a novel statistical approach that couples mathematical models and viral surveillance data from rodent populations to robustly estimate key epidemiological parameters. Applying our method to existing data from Guinea yields well-resolved parameter estimates and allows us to simulate a variety of rodent vaccination programs. Together, our results demonstrate that rodent vaccination alone is unlikely to be an effective tool for reducing that public health burden of Lassa fever within West Africa.

ecology↗

bioRxiv2017

Enhancers mapping uncovers phenotypic heterogeneity and evolution in patients with luminal breast cancer.

The degree of intrinsic and interpatient phenotypic heterogeneity and its role in tumour evolution is poorly understood. Phenotypic divergence can be achieved via the inheritance of alternative transcriptional programs1,2. Cell-type specific transcription is maintained through the activation of epigenetically-defined regulatory regions including promoters and enhancers1,3,4. In this work, we annotated the epigenome of 47 primary and metastatic oestrogen-receptor (ER)-positive breast cancer specimens from clinical samples, and developed strategies to deduce phenotypic heterogeneity from the regulatory landscape, identifying key regulatory elements commonly shared across patients. Highly shared regions contain a unique set of regulatory information including the motif for the transcription factor YY1. In vitro work shows that YY1 is essential for ER transcriptional activity and defines the critical subset of functional ER binding sites driving tumor growth in most luminal patients. YY1 also control the expression of genes that mediate resistance to endocrine treatment. Finally, we show that H3K27ac levels at active enhancer elements can be used as a surrogate of intra-tumor phenotypic heterogeneity, and to track expansion and contraction of phenotypic subpopulations throughout breast cancer progression. Tracking YY1 and SLC9A3R1 positive clones in primary and metastatic lesions, we show that endocrine therapies drive the expansion of phenotypic clones originally underrepresented at diagnosis. Collectively, our data show that epigenetic mechanisms significantly contribute to phenotypic heterogeneity and evolution in systemically treated breast cancer patients.

cancer biology↗

bioRxiv2017

Preexisting antibodies can protect against congenital cytomegalovirus infection in monkeys

Human cytomegalovirus (HCMV) is the most common congenital infection and a known cause of microcephaly, sensorineural hearing loss, and cognitive impairment among newborns worldwide. Natural maternal HCMV immunity reduces the incidence of congenital infection, but does not prevent the disease altogether. We employed a nonhuman primate model of congenital CMV infection to investigate the ability of preexisting antibodies to protect against placental CMV transmission. Pregnant, CD4+ T cell-depleted, rhesus CMV (RhCMV)-seronegative rhesus monkeys were treated with either standardly-produced hyperimmune globulin (HIG) from RhCMV-seropositive macaques or dose-optimized, potently RhCMV-neutralizing HIG prior to intravenous challenge with an RhCMV swarm. HIG passive infusion provided complete protection against fetal loss in both groups, and the potently-neutralizing HIG additionally inhibited placental transmission of RhCMV. Our findings suggest that antibody alone at the time of primary infection can prevent congenital CMV and therefore could be a primary target of vaccines to eliminate this neonatal infection.

immunology↗