@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},
}

@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},
}

@article{9383,
  abstract     = {A primary roadblock to our understanding of speciation is that it usually occurs over a timeframe that is too long to study from start to finish. The idea of a speciation continuum provides something of a solution to this problem; rather than observing the entire process, we can simply reconstruct it from the multitude of speciation events that surround us. But what do we really mean when we talk about the speciation continuum, and can it really help us understand speciation? We explored these questions using a literature review and online survey of speciation researchers. Although most researchers were familiar with the concept and thought it was useful, our survey revealed extensive disagreement about what the speciation continuum actually tells us. This is due partly to the lack of a clear definition. Here, we provide an explicit definition that is compatible with the Biological Species Concept. That is, the speciation continuum is a continuum of reproductive isolation. After outlining the logic of the definition in light of alternatives, we explain why attempts to reconstruct the speciation process from present‐day populations will ultimately fail. We then outline how we think the speciation continuum concept can continue to act as a foundation for understanding the continuum of reproductive isolation that surrounds us.},
  author       = {Stankowski, Sean and Ravinet, Mark},
  issn         = {1558-5646},
  journal      = {Evolution},
  number       = {6},
  pages        = {1256--1273},
  publisher    = {Oxford University Press},
  title        = {{Defining the speciation continuum}},
  doi          = {10.1111/evo.14215},
  volume       = {75},
  year         = {2021},
}

@article{9392,
  abstract     = {Humans conceptualize the diversity of life by classifying individuals into types we call ‘species’1. The species we recognize influence political and financial decisions and guide our understanding of how units of diversity evolve and interact. Although the idea of species may seem intuitive, a debate about the best way to define them has raged even before Darwin2. So much energy has been devoted to the so-called ‘species problem’ that no amount of discourse will ever likely solve it2,3. Dozens of species concepts are currently recognized3, but we lack a concrete understanding of how much researchers actually disagree and the factors that cause them to think differently1,2. To address this, we used a survey to quantify the species problem for the first time. The results indicate that the disagreement is extensive: two randomly chosen respondents will most likely disagree on the nature of species. The probability of disagreement is not predicted by researcher experience or broad study system, but tended to be lower among researchers with similar focus, training and who study the same organism. Should we see this diversity of perspectives as a problem? We argue that we should not.},
  author       = {Stankowski, Sean and Ravinet, Mark},
  issn         = {1879-0445},
  journal      = {Current Biology},
  number       = {9},
  pages        = {R428--R429},
  publisher    = {Cell Press},
  title        = {{Quantifying the use of species concepts}},
  doi          = {10.1016/j.cub.2021.03.060},
  volume       = {31},
  year         = {2021},
}

@article{9394,
  abstract     = {Chromosomal inversions have long been recognized for their role in local adaptation. By suppressing recombination in heterozygous individuals, they can maintain coadapted gene complexes and protect them from homogenizing effects of gene flow. However, to fully understand their importance for local adaptation we need to know their influence on phenotypes under divergent selection. For this, the marine snail Littorina saxatilis provides an ideal study system. Divergent ecotypes adapted to wave action and crab predation occur in close proximity on intertidal shores with gene flow between them. Here, we used F2 individuals obtained from crosses between the ecotypes to test for associations between genomic regions and traits distinguishing the Crab‐/Wave‐adapted ecotypes including size, shape, shell thickness, and behavior. We show that most of these traits are influenced by two previously detected inversion regions that are divergent between ecotypes. We thus gain a better understanding of one important underlying mechanism responsible for the rapid and repeated formation of ecotypes: divergent selection acting on inversions. We also found that some inversions contributed to more than one trait suggesting that they may contain several loci involved in adaptation, consistent with the hypothesis that suppression of recombination within inversions facilitates differentiation in the presence of gene flow.},
  author       = {Koch, Eva L. 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.},
  issn         = {2056-3744},
  journal      = {Evolution Letters},
  number       = {3},
  pages        = {196--213},
  publisher    = {Wiley},
  title        = {{Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis}},
  doi          = {10.1002/evl3.227},
  volume       = {5},
  year         = {2021},
}

@article{9410,
  abstract     = {Antibiotic concentrations vary dramatically in the body and the environment. Hence, understanding the dynamics of resistance evolution along antibiotic concentration gradients is critical for predicting and slowing the emergence and spread of resistance. While it has been shown that increasing the concentration of an antibiotic slows resistance evolution, how adaptation to one antibiotic concentration correlates with fitness at other points along the gradient has not received much attention. Here, we selected populations of Escherichia coli at several points along a concentration gradient for three different antibiotics, asking how rapidly resistance evolved and whether populations became specialized to the antibiotic concentration they were selected on. Populations selected at higher concentrations evolved resistance more slowly but exhibited equal or higher fitness across the whole gradient. Populations selected at lower concentrations evolved resistance rapidly, but overall fitness in the presence of antibiotics was lower. However, these populations readily adapted to higher concentrations upon subsequent selection. Our results indicate that resistance management strategies must account not only for the rates of resistance evolution but also for the fitness of evolved strains.},
  author       = {Lagator, Mato and Uecker, Hildegard and Neve, Paul},
  issn         = {1744-957X},
  journal      = {Biology letters},
  number       = {5},
  publisher    = {Royal Society of London},
  title        = {{Adaptation at different points along antibiotic concentration gradients}},
  doi          = {10.1098/rsbl.2020.0913},
  volume       = {17},
  year         = {2021},
}

