@misc{13066,
  abstract     = {Chromosomal inversions have been shown to play a major role in local adaptation by suppressing recombination between alternative arrangements and maintaining beneficial allele combinations. However, so far, their importance relative to the remaining genome remains largely unknown. Understanding the genetic architecture of adaptation requires better estimates of how loci of different effect sizes contribute to phenotypic variation. Here, we used three Swedish islands where the marine snail Littorina saxatilis has repeatedly evolved into two distinct ecotypes along a habitat transition. We estimated the contribution of inversion polymorphisms to phenotypic divergence while controlling for polygenic effects in the remaining genome using a quantitative genetics framework. We confirmed the importance of inversions but showed that contributions of loci outside inversions are of similar magnitude, with variable proportions dependent on the trait and the population. Some inversions showed consistent effects across all sites, whereas others exhibited site-specific effects, indicating that the genomic basis for replicated phenotypic divergence is only partly shared. The contributions of sexual dimorphism as well as environmental factors to phenotypic variation were significant but minor compared to inversions and polygenic background. Overall, this integrated approach provides insight into the multiple mechanisms contributing to parallel phenotypic divergence.},
  author       = {Koch, Eva and Ravinet, Mark and Westram, Anja M and Jonannesson, Kerstin and Butlin, Roger},
  publisher    = {Dryad},
  title        = {{Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution}},
  doi          = {10.5061/DRYAD.M905QFV4B},
  year         = {2022},
}

@article{10604,
  abstract     = {Maternally inherited Wolbachia transinfections are being introduced into natural mosquito populations to reduce the transmission of dengue, Zika, and other arboviruses. Wolbachia-induced cytoplasmic incompatibility provides a frequency-dependent reproductive advantage to infected females that can spread transinfections within and among populations. However, because transinfections generally reduce host fitness, they tend to spread within populations only after their frequency exceeds a critical threshold. This produces bistability with stable equilibrium frequencies at both 0 and 1, analogous to the bistability produced by underdominance between alleles or karyotypes and by population dynamics under Allee effects. Here, we analyze how stochastic frequency variation produced by finite population size can facilitate the local spread of variants with bistable dynamics into areas where invasion is unexpected from deterministic models. Our exemplar is the establishment of wMel Wolbachia in the Aedes aegypti population of Pyramid Estates (PE), a small community in far north Queensland, Australia. In 2011, wMel was stably introduced into Gordonvale, separated from PE by barriers to A. aegypti dispersal. After nearly 6 years during which wMel was observed only at low frequencies in PE, corresponding to an apparent equilibrium between immigration and selection, wMel rose to fixation by 2018. Using analytic approximations and statistical analyses, we demonstrate that the observed fixation of wMel at PE is consistent with both stochastic transition past an unstable threshold frequency and deterministic transformation produced by steady immigration at a rate just above the threshold required for deterministic invasion. The indeterminacy results from a delicate balance of parameters needed to produce the delayed transition observed. Our analyses suggest that once Wolbachia transinfections are established locally through systematic introductions, stochastic “threshold crossing” is likely to only minimally enhance spatial spread, providing a local ratchet that slightly—but systematically—aids area-wide transformation of disease-vector populations in heterogeneous landscapes.},
  author       = {Turelli, Michael and Barton, Nicholas H},
  issn         = {2056-3744},
  journal      = {Evolution Letters},
  keywords     = {genetics, ecology, evolution, behavior and systematics},
  number       = {1},
  pages        = {92--105},
  publisher    = {Wiley},
  title        = {{Why did the Wolbachia transinfection cross the road? Drift, deterministic dynamics, and disease control}},
  doi          = {10.1002/evl3.270},
  volume       = {6},
  year         = {2022},
}

@article{10658,
  abstract     = {We analyse how migration from a large mainland influences genetic load and population numbers on an island, in a scenario where fitness-affecting variants are unconditionally deleterious, and where numbers decline with increasing load. Our analysis shows that migration can have qualitatively different effects, depending on the total mutation target and fitness effects of deleterious variants. In particular, we find that populations exhibit a genetic Allee effect across a wide range of parameter combinations, when variants are partially recessive, cycling between low-load (large-population) and high-load (sink) states. Increased migration reduces load in the sink state (by increasing heterozygosity) but further inflates load in the large-population state (by hindering purging). We identify various critical parameter thresholds at which one or other stable state collapses, and discuss how these thresholds are influenced by the genetic versus demographic effects of migration. Our analysis is based on a ‘semi-deterministic’ analysis, which accounts for genetic drift but neglects demographic stochasticity. We also compare against simulations which account for both demographic stochasticity and drift. Our results clarify the importance of gene flow as a key determinant of extinction risk in peripheral populations, even in the absence of ecological gradients. This article is part of the theme issue ‘Species’ ranges in the face of changing environments (part I)’.},
  author       = {Sachdeva, Himani and Olusanya, Oluwafunmilola O and Barton, Nicholas H},
  issn         = {1471-2970},
  journal      = {Philosophical Transactions of the Royal Society B},
  number       = {1846},
  publisher    = {The Royal Society},
  title        = {{Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity}},
  doi          = {10.1098/rstb.2021.0010},
  volume       = {377},
  year         = {2022},
}

@article{10736,
  abstract     = {Predicting function from sequence is a central problem of biology. Currently, this is possible only locally in a narrow mutational neighborhood around a wildtype sequence rather than globally from any sequence. Using random mutant libraries, we developed a biophysical model that accounts for multiple features of σ70 binding bacterial promoters to predict constitutive gene expression levels from any sequence. We experimentally and theoretically estimated that 10–20% of random sequences lead to expression and ~80% of non-expressing sequences are one mutation away from a functional promoter. The potential for generating expression from random sequences is so pervasive that selection acts against σ70-RNA polymerase binding sites even within inter-genic, promoter-containing regions. This pervasiveness of σ70-binding sites implies that emergence of promoters is not the limiting step in gene regulatory evolution. Ultimately, the inclusion of novel features of promoter function into a mechanistic model enabled not only more accurate predictions of gene expression levels, but also identified that promoters evolve more rapidly than previously thought.},
  author       = {Lagator, Mato and Sarikas, Srdjan and Steinrück, Magdalena and Toledo-Aparicio, David and Bollback, Jonathan P and Guet, Calin C and Tkačik, Gašper},
  issn         = {2050-084X},
  journal      = {eLife},
  publisher    = {eLife Sciences Publications},
  title        = {{Predicting bacterial promoter function and evolution from random sequences}},
  doi          = {10.7554/eLife.64543},
  volume       = {11},
  year         = {2022},
}

@article{10787,
  abstract     = {A species distributed across diverse environments may adapt to local conditions. We ask how quickly such a species changes its range in response to changed conditions. Szép et al. (Szép E, Sachdeva H, Barton NH. 2021 Polygenic local adaptation in metapopulations: a stochastic eco-evolutionary model. Evolution75, 1030–1045 (doi:10.1111/evo.14210)) used the infinite island model to find the stationary distribution of allele frequencies and deme sizes. We extend this to find how a metapopulation responds to changes in carrying capacity, selection strength, or migration rate when deme sizes are fixed. We further develop a ‘fixed-state’ approximation. Under this approximation, polymorphism is only possible for a narrow range of habitat proportions when selection is weak compared to drift, but for a much wider range otherwise. When rates of selection or migration relative to drift change in a single deme of the metapopulation, the population takes a time of order m−1 to reach the new equilibrium. However, even with many loci, there can be substantial fluctuations in net adaptation, because at each locus, alleles randomly get lost or fixed. Thus, in a finite metapopulation, variation may gradually be lost by chance, even if it would persist in an infinite metapopulation. When conditions change across the whole metapopulation, there can be rapid change, which is predicted well by the fixed-state approximation. This work helps towards an understanding of how metapopulations extend their range across diverse environments.
This article is part of the theme issue ‘Species’ ranges in the face of changing environments (Part II)’.},
  author       = {Barton, Nicholas H and Olusanya, Oluwafunmilola O},
  issn         = {1471-2970},
  journal      = {Philosophical Transactions of the Royal Society B: Biological Sciences},
  keywords     = {General Agricultural and Biological Sciences, General Biochemistry, Genetics and Molecular Biology},
  number       = {1848},
  publisher    = {The Royal Society},
  title        = {{The response of a metapopulation to a changing environment}},
  doi          = {10.1098/rstb.2021.0009},
  volume       = {377},
  year         = {2022},
}

@phdthesis{11388,
  abstract     = {In evolve and resequence experiments, a population is sequenced, subjected to selection and
then sequenced again, so that genetic changes before and after selection can be observed at
the genetic level. Here, I use these studies to better understand the genetic basis of complex
traits - traits which depend on more than a few genes.
In the first chapter, I discuss the first evolve and resequence experiment, in which a population
of mice, the so-called "Longshanks" mice, were selected for tibia length while their body mass
was kept constant. The full pedigree is known. We observed a selection response on all
chromosomes and used the infinitesimal model with linkage, a model which assumes an infinite
number of genes with infinitesimally small effect sizes, as a null model. Results implied a very
polygenic basis with a few loci of major effect standing out and changing in parallel. There
was large variability between the different chromosomes in this study, probably due to LD.
In chapter two, I go on to discuss the impact of LD, on the variability in an allele-frequency
based summary statistic, giving an equation based on the initial allele frequencies, average
pairwise LD, and the first four moments of the haplotype block copy number distribution. I
describe this distribution by referring back to the founder generation. I then demonstrate
how to infer selection via a maximum likelihood scheme on the example of a single locus and
discuss how to extend this to more realistic scenarios.
In chapter three, I discuss the second evolve and resequence experiment, in which a small
population of Drosophila melanogaster was selected for increased pupal case size over 6
generations. The experiment was highly replicated with 27 lines selected within family and a
known pedigree. We observed a phenotypic selection response of over one standard deviation.
I describe the patterns in allele frequency data, including allele frequency changes and patterns
of heterozygosity, and give ideas for future work.},
  author       = {Belohlavy, Stefanie},
  isbn         = {978-3-99078-018-3},
  pages        = {98},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{The genetic basis of complex traits studied via analysis of evolve and resequence experiments}},
  doi          = {10.15479/at:ista:11388},
  year         = {2022},
}

@misc{12987,
  abstract     = {Chromosomal inversion polymorphisms, segments of chromosomes that are flipped in orientation and occur in reversed order in some individuals, have long been recognized to play an important role in local adaptation. They can reduce recombination in heterozygous individuals and thus help to maintain sets of locally adapted alleles. In a wide range of organisms, populations adapted to different habitats differ in frequency of inversion arrangements. However, getting a full understanding of the importance of inversions for adaptation requires confirmation of their influence on traits under divergent selection. Here, we studied a marine snail, Littorina saxatilis, that has evolved ecotypes adapted to wave exposure or crab predation. These two types occur in close proximity on different parts of the shore. Gene flow between them exists in contact zones. However, they exhibit strong phenotypic divergence in several traits under habitat-specific selection, including size, shape and behaviour. We used crosses between these ecotypes to identify genomic regions that explain variation in these traits by using QTL analysis and variance partitioning across linkage groups. We could show that previously detected inversion regions contribute to adaptive divergence. Some inversions influenced multiple traits suggesting that they contain sets of locally adaptive alleles. Our study also identified regions without known inversions that are important for phenotypic divergence. Thus, we provide a more complete overview of the importance of inversions in relation to the remaining genome.},
  author       = {Koch, Eva and Morales, Hernán E. and Larsson, Jenny and Westram, Anja M and Faria, Rui and Lemmon, Alan R. and Lemmon, E. Moriarty and Johannesson, Kerstin and Butlin, Roger K.},
  publisher    = {Dryad},
  title        = {{Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis}},
  doi          = {10.5061/DRYAD.ZGMSBCCB4},
  year         = {2021},
}

@misc{13062,
  abstract     = {This paper analyzes the conditions for local adaptation in a metapopulation with infinitely many islands under a model of hard selection, where population size depends on local fitness. Each island belongs to one of two distinct ecological niches or habitats. Fitness is influenced by an additive trait which is under habitat-dependent directional selection. Our analysis is based on the diffusion approximation and  accounts for both genetic drift and demographic stochasticity. By neglecting linkage disequilibria, it yields the joint distribution of allele frequencies and population size on each island. We find that under hard selection, the conditions for local adaptation in a rare habitat are more restrictive for more polygenic traits: even moderate migration load per locus at very many loci is sufficient for population sizes to decline. This further reduces the efficacy of selection at individual loci due to increased drift and because smaller populations are more prone to swamping due to migration, causing a positive feedback between increasing maladaptation and declining population sizes. Our analysis also highlights the importance of demographic stochasticity, which  exacerbates the decline in numbers of maladapted populations, leading to population collapse in the rare habitat at significantly lower migration than predicted by deterministic arguments.},
  author       = {Szep, Eniko and Sachdeva, Himani and Barton, Nicholas H},
  publisher    = {Dryad},
  title        = {{Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model}},
  doi          = {10.5061/DRYAD.8GTHT76P1},
  year         = {2021},
}

@inbook{14984,
  abstract     = {Hybrid zones are narrow geographic regions where different populations, races or interbreeding species meet and mate, producing mixed ‘hybrid’ offspring. They are relatively common and can be found in a diverse range of organisms and environments. The study of hybrid zones has played an important role in our understanding of the origin of species, with hybrid zones having been described as ‘natural laboratories’. This is because they allow us to study,in situ, the conditions and evolutionary forces that enable divergent taxa to remain distinct despite some ongoing gene exchange between them.},
  author       = {Stankowski, Sean and Shipilina, Daria and Westram, Anja M},
  booktitle    = {Encyclopedia of Life Sciences},
  isbn         = {9780470016176},
  publisher    = {Wiley},
  title        = {{Hybrid Zones}},
  doi          = {10.1002/9780470015902.a0029355},
  volume       = {2},
  year         = {2021},
}

@article{10535,
  abstract     = {Realistic models of biological processes typically involve interacting components on multiple scales, driven by changing environment and inherent stochasticity. Such models are often analytically and numerically intractable. We revisit a dynamic maximum entropy method that combines a static maximum entropy with a quasi-stationary approximation. This allows us to reduce stochastic non-equilibrium dynamics expressed by the Fokker-Planck equation to a simpler low-dimensional deterministic dynamics, without the need to track microscopic details. Although the method has been previously applied to a few (rather complicated) applications in population genetics, our main goal here is to explain and to better understand how the method works. We demonstrate the usefulness of the method for two widely studied stochastic problems, highlighting its accuracy in capturing important macroscopic quantities even in rapidly changing non-stationary conditions. For the Ornstein-Uhlenbeck process, the method recovers the exact dynamics whilst for a stochastic island model with migration from other habitats, the approximation retains high macroscopic accuracy under a wide range of scenarios in a dynamic environment.},
  author       = {Bod'ová, Katarína and Szep, Eniko and Barton, Nicholas H},
  issn         = {1553-7358},
  journal      = {PLoS Computational Biology},
  number       = {12},
  publisher    = {Public Library of Science},
  title        = {{Dynamic maximum entropy provides accurate approximation of structured population dynamics}},
  doi          = {10.1371/journal.pcbi.1009661},
  volume       = {17},
  year         = {2021},
}

@article{8708,
  abstract     = {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 bi‐stable 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.},
  author       = {Simon, Alexis and Fraisse, Christelle and El Ayari, Tahani and Liautard‐Haag, Cathy and Strelkov, Petr and Welch, John J and Bierne, Nicolas},
  issn         = {1420-9101},
  journal      = {Journal of Evolutionary Biology},
  number       = {1},
  pages        = {208--223},
  publisher    = {Wiley},
  title        = {{How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels}},
  doi          = {10.1111/jeb.13709},
  volume       = {34},
  year         = {2021},
}

@article{8743,
  abstract     = {Montane cloud forests are areas of high endemism, and are one of the more vulnerable terrestrial ecosystems to climate change. Thus, understanding how they both contribute to the generation of biodiversity, and will respond to ongoing climate change, are important and related challenges. The widely accepted model for montane cloud forest dynamics involves upslope forcing of their range limits with global climate warming. However, limited climate data provides some support for an alternative model, where range limits are forced downslope with climate warming. Testing between these two models is challenging, due to the inherent limitations of climate and pollen records. We overcome this with an alternative source of historical information, testing between competing model predictions using genomic data and demographic analyses for a species of beetle tightly associated to an oceanic island cloud forest. Results unequivocally support the alternative model: populations that were isolated at higher elevation peaks during the Last Glacial Maximum are now in contact and hybridizing at lower elevations. Our results suggest that genomic data are a rich source of information to further understand how montane cloud forest biodiversity originates, and how it is likely to be impacted by ongoing climate change.},
  author       = {Salces-Castellano, Antonia and Stankowski, Sean and Arribas, Paula and Patino, Jairo and Karger, Dirk N.  and Butlin, Roger and Emerson, Brent C.},
  issn         = {1558-5646},
  journal      = {Evolution},
  number       = {2},
  pages        = {231--244},
  publisher    = {Wiley},
  title        = {{Long-term cloud forest response to climate warming revealed by insect speciation history}},
  doi          = {10.1111/evo.14111},
  volume       = {75},
  year         = {2021},
}

@article{8928,
  abstract     = {Domestication is a human‐induced selection process that imprints the genomes of domesticated populations over a short evolutionary time scale and that occurs in a given demographic context. Reconstructing historical gene flow, effective population size changes and their timing is therefore of fundamental interest to understand how plant demography and human selection jointly shape genomic divergence during domestication. Yet, the comparison under a single statistical framework of independent domestication histories across different crop species has been little evaluated so far. Thus, it is unclear whether domestication leads to convergent demographic changes that similarly affect crop genomes. To address this question, we used existing and new transcriptome data on three crop species of Solanaceae (eggplant, pepper and tomato), together with their close wild relatives. We fitted twelve demographic models of increasing complexity on the unfolded joint allele frequency spectrum for each wild/crop pair, and we found evidence for both shared and species‐specific demographic processes between species. A convergent history of domestication with gene flow was inferred for all three species, along with evidence of strong reduction in the effective population size during the cultivation stage of tomato and pepper. The absence of any reduction in size of the crop in eggplant stands out from the classical view of the domestication process; as does the existence of a “protracted period” of management before cultivation. Our results also suggest divergent management strategies of modern cultivars among species as their current demography substantially differs. Finally, the timing of domestication is species‐specific and supported by the few historical records available.},
  author       = {Arnoux, Stéphanie and Fraisse, Christelle and Sauvage, Christopher},
  issn         = {1420-9101},
  journal      = {Journal of Evolutionary Biology},
  number       = {2},
  pages        = {270--283},
  publisher    = {Wiley},
  title        = {{Genomic inference of complex domestication histories in three Solanaceae species}},
  doi          = {10.1111/jeb.13723},
  volume       = {34},
  year         = {2021},
}

@article{9100,
  abstract     = {Marine environments are inhabited by a broad representation of the tree of life, yet our understanding of speciation in marine ecosystems is extremely limited compared with terrestrial and freshwater environments. Developing a more comprehensive picture of speciation in marine environments requires that we 'dive under the surface' by studying a wider range of taxa and ecosystems is necessary for a more comprehensive picture of speciation. Although studying marine evolutionary processes is often challenging, recent technological advances in different fields, from maritime engineering to genomics, are making it increasingly possible to study speciation of marine life forms across diverse ecosystems and taxa. Motivated by recent research in the field, including the 14 contributions in this issue, we highlight and discuss six axes of research that we think will deepen our understanding of speciation in the marine realm: (a) study a broader range of marine environments and organisms; (b) identify the reproductive barriers driving speciation between marine taxa; (c) understand the role of different genomic architectures underlying reproductive isolation; (d) infer the evolutionary history of divergence using model‐based approaches; (e) study patterns of hybridization and introgression between marine taxa; and (f) implement highly interdisciplinary, collaborative research programmes. In outlining these goals, we hope to inspire researchers to continue filling this critical knowledge gap surrounding the origins of marine biodiversity.},
  author       = {Faria, Rui and Johannesson, Kerstin and Stankowski, Sean},
  issn         = {1420-9101},
  journal      = {Journal of Evolutionary Biology},
  number       = {1},
  pages        = {4--15},
  publisher    = {Wiley},
  title        = {{Speciation in marine environments: Diving under the surface}},
  doi          = {10.1111/jeb.13756},
  volume       = {34},
  year         = {2021},
}

@article{9119,
  abstract     = {We present DILS, a deployable statistical analysis platform for conducting demographic inferences with linked selection from population genomic data using an Approximate Bayesian Computation framework. DILS takes as input single‐population or two‐population data sets (multilocus fasta sequences) and performs three types of analyses in a hierarchical manner, identifying: (a) the best demographic model to study the importance of gene flow and population size change on the genetic patterns of polymorphism and divergence, (b) the best genomic model to determine whether the effective size Ne and migration rate N, m are heterogeneously distributed along the genome (implying linked selection) and (c) loci in genomic regions most associated with barriers to gene flow. Also available via a Web interface, an objective of DILS is to facilitate collaborative research in speciation genomics. Here, we show the performance and limitations of DILS by using simulations and finally apply the method to published data on a divergence continuum composed by 28 pairs of Mytilus mussel populations/species.},
  author       = {Fraisse, Christelle and Popovic, Iva and Mazoyer, Clément and Spataro, Bruno and Delmotte, Stéphane and Romiguier, Jonathan and Loire, Étienne and Simon, Alexis and Galtier, Nicolas and Duret, Laurent and Bierne, Nicolas and Vekemans, Xavier and Roux, Camille},
  issn         = {1755-0998},
  journal      = {Molecular Ecology Resources},
  pages        = {2629--2644},
  publisher    = {Wiley},
  title        = {{DILS: Demographic inferences with linked selection by using ABC}},
  doi          = {10.1111/1755-0998.13323},
  volume       = {21},
  year         = {2021},
}

@article{9168,
  abstract     = {Interspecific crossing experiments have shown that sex chromosomes play a major role in reproductive isolation between many pairs of species. However, their ability to act as reproductive barriers, which hamper interspecific genetic exchange, has rarely been evaluated quantitatively compared to Autosomes. This genome-wide limitation of gene flow is essential for understanding the complete separation of species, and thus speciation. Here, we develop a mainland-island model of secondary contact between hybridizing species of an XY (or ZW) sexual system. We obtain theoretical predictions for the frequency of introgressed alleles, and the strength of the barrier to neutral gene flow for the two types of chromosomes carrying multiple interspecific barrier loci. Theoretical predictions are obtained for scenarios where introgressed alleles are rare. We show that the same analytical expressions apply for sex chromosomes and autosomes, but with different sex-averaged effective parameters. The specific features of sex chromosomes (hemizygosity and absence of recombination in the heterogametic sex) lead to reduced levels of introgression on the X (or Z) compared to autosomes. This effect can be enhanced by certain types of sex-biased forces, but it remains overall small (except when alleles causing incompatibilities are recessive). We discuss these predictions in the light of empirical data comprising model-based tests of introgression and cline surveys in various biological systems.},
  author       = {Fraisse, Christelle and Sachdeva, Himani},
  issn         = {1943-2631},
  journal      = {Genetics},
  number       = {2},
  publisher    = {Genetics Society of America},
  title        = {{The rates of introgression and barriers to genetic exchange between hybridizing species: Sex chromosomes vs autosomes}},
  doi          = {10.1093/genetics/iyaa025},
  volume       = {217},
  year         = {2021},
}

@misc{9192,
  abstract     = {Here are the research data underlying the publication " Effects of fine-scale population structure on inbreeding in a long-term study of snapdragons (Antirrhinum majus)." Further information are summed up in the README document.},
  author       = {Surendranadh, Parvathy and Arathoon, Louise S and Baskett, Carina and Field, David and Pickup, Melinda and Barton, Nicholas H},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus}},
  doi          = {10.15479/AT:ISTA:9192},
  year         = {2021},
}

@article{9252,
  abstract     = {This paper analyses the conditions for local adaptation in a metapopulation with infinitely many islands under a model of hard selection, where population size depends on local fitness. Each island belongs to one of two distinct ecological niches or habitats. Fitness is influenced by an additive trait which is under habitat‐dependent directional selection. Our analysis is based on the diffusion approximation and accounts for both genetic drift and demographic stochasticity. By neglecting linkage disequilibria, it yields the joint distribution of allele frequencies and population size on each island. We find that under hard selection, the conditions for local adaptation in a rare habitat are more restrictive for more polygenic traits: even moderate migration load per locus at very many loci is sufficient for population sizes to decline. This further reduces the efficacy of selection at individual loci due to increased drift and because smaller populations are more prone to swamping due to migration, causing a positive feedback between increasing maladaptation and declining population sizes. Our analysis also highlights the importance of demographic stochasticity, which exacerbates the decline in numbers of maladapted populations, leading to population collapse in the rare habitat at significantly lower migration than predicted by deterministic arguments.},
  author       = {Szep, Eniko and Sachdeva, Himani and Barton, Nicholas H},
  issn         = {1558-5646},
  journal      = {Evolution},
  keywords     = {Genetics, Ecology, Evolution, Behavior and Systematics, General Agricultural and Biological Sciences},
  number       = {5},
  pages        = {1030--1045},
  publisher    = {Wiley},
  title        = {{Polygenic local adaptation in metapopulations: A stochastic eco‐evolutionary model}},
  doi          = {10.1111/evo.14210},
  volume       = {75},
  year         = {2021},
}

@article{9374,
  abstract     = {If there are no constraints on the process of speciation, then the number of species might be expected to match the number of available niches and this number might be indefinitely large. One possible constraint is the opportunity for allopatric divergence. In 1981, Felsenstein used a simple and elegant model to ask if there might also be genetic constraints. He showed that progress towards speciation could be described by the build‐up of linkage disequilibrium among divergently selected loci and between these loci and those contributing to other forms of reproductive isolation. Therefore, speciation is opposed by recombination, because it tends to break down linkage disequilibria. Felsenstein then introduced a crucial distinction between “two‐allele” models, which are subject to this effect, and “one‐allele” models, which are free from the recombination constraint. These fundamentally important insights have been the foundation for both empirical and theoretical studies of speciation ever since.},
  author       = {Butlin, Roger K. and Servedio, Maria R. and Smadja, Carole M. and Bank, Claudia and Barton, Nicholas H and Flaxman, Samuel M. and Giraud, Tatiana and Hopkins, Robin and Larson, Erica L. and Maan, Martine E. and Meier, Joana and Merrill, Richard and Noor, Mohamed A. F. and Ortiz‐Barrientos, Daniel and Qvarnström, Anna},
  issn         = {1558-5646},
  journal      = {Evolution},
  keywords     = {Genetics, Ecology, Evolution, Behavior and Systematics, General Agricultural and Biological Sciences},
  number       = {5},
  pages        = {978--988},
  publisher    = {Wiley},
  title        = {{Homage to Felsenstein 1981, or why are there so few/many species?}},
  doi          = {10.1111/evo.14235},
  volume       = {75},
  year         = {2021},
}

@article{9375,
  abstract     = {Genetic variation segregates as linked sets of variants, or haplotypes. Haplotypes and linkage are central to genetics and underpin virtually all genetic and selection analysis. And yet, genomic data often lack haplotype information, due to constraints in sequencing technologies. Here we present “haplotagging”, a simple, low-cost linked-read sequencing technique that allows sequencing of hundreds of individuals while retaining linkage information. We apply haplotagging to construct megabase-size haplotypes for over 600 individual butterflies (Heliconius erato and H. melpomene), which form overlapping hybrid zones across an elevational gradient in Ecuador. Haplotagging identifies loci controlling distinctive high- and lowland wing color patterns. Divergent haplotypes are found at the same major loci in both species, while chromosome rearrangements show no parallelism. Remarkably, in both species the geographic clines for the major wing pattern loci are displaced by 18 km, leading to the rise of a novel hybrid morph in the centre of the hybrid zone. We propose that shared warning signalling (Müllerian mimicry) may couple the cline shifts seen in both species, and facilitate the parallel co-emergence of a novel hybrid morph in both co-mimetic species. Our results show the power of efficient haplotyping methods when combined with large-scale sequencing data from natural populations.},
  author       = {Meier, Joana I. and Salazar, Patricio A. and Kučka, Marek and Davies, Robert William and Dréau, Andreea and Aldás, Ismael and Power, Olivia Box and Nadeau, Nicola J. and Bridle, Jon R. and Rolian, Campbell and Barton, Nicholas H and McMillan, W. Owen and Jiggins, Chris D. and Chan, Yingguang Frank},
  issn         = {0027-8424},
  journal      = {Proceedings of the National Academy of Sciences of the United States of America},
  number       = {25},
  publisher    = {National Academy of Sciences},
  title        = {{Haplotype tagging reveals parallel formation of hybrid races in two butterfly species}},
  doi          = {10.1073/pnas.2015005118},
  volume       = {118},
  year         = {2021},
}

