@article{17207, author = {Fouqueau, Louise and Polechova, Jitka}, issn = {1420-9101}, journal = {Journal of evolutionary biology}, number = {6}, pages = {579--587}, publisher = {Oxford University Press}, title = {{Eco-evolutionary dynamics in changing environments: Integrating theory with data}}, doi = {10.1093/jeb/voae067}, volume = {37}, year = {2024}, } @article{17237, abstract = {The impact of climate change on populations will be contingent upon their contemporary adaptive evolution. In this study, we investigated the contemporary evolution of 4 populations of the cold-water kelp Laminaria digitata by analyzing their spatial and temporal genomic variations using ddRAD-sequencing. These populations were sampled from the center to the southern margin of its north-eastern Atlantic distribution at 2 time points, spanning at least 2 generations. Through genome scans for local adaptation at a single time point, we identified candidate loci that showed clinal variation correlated with changes in sea surface temperature (SST) along latitudinal gradients. This finding suggests that SST may drive the adaptive response of these kelp populations, although factors such as species’ demographic history should also be considered. Additionally, we performed a simulation approach to distinguish the effect of selection from genetic drift in allele frequency changes over time. This enabled the detection of loci in the southernmost population that exhibited temporal differentiation beyond what would be expected from genetic drift alone: these are candidate loci which could have evolved under selection over time. In contrast, we did not detect any outlier locus based on temporal differentiation in the population from the North Sea, which also displayed low and decreasing levels of genetic diversity. The diverse evolutionary scenarios observed among populations can be attributed to variations in the prevalence of selection relative to genetic drift across different environments. Therefore, our study highlights the potential of temporal genomics to offer valuable insights into the contemporary evolution of marine foundation species facing climate change.}, author = {Reynes, Lauric and Fouqueau, Louise and Aurelle, Didier and Mauger, Stephane and Destombe, Christophe and Valero, Myriam}, issn = {1420-9101}, journal = {Journal of Evolutionary Biology}, number = {6}, pages = {677--692}, publisher = {Oxford University Press}, title = {{Temporal genomics help in deciphering neutral and adaptive patterns in the contemporary evolution of kelp populations}}, doi = {10.1093/jeb/voae048}, volume = {37}, year = {2024}, } @article{17238, abstract = {We know that heritable variation is abundant, and that selection causes all but the smallest populations to rapidly shift beyond their original trait distribution. So then, what limits the range of a species? There are physical constraints and also population genetic limits to the effectiveness of selection, ultimately set by population size. Global adaptation, where the same genotype is favoured over the whole range, is most efficient when based on a multitude of weakly selected alleles and is effective even when local demes are small, provided that there is some gene flow. In contrast, local adaptation is sensitive to gene flow and may require alleles with substantial effect. How can populations combine the advantages of large effective size with the ability to specialise into local niches? To what extent does reproductive isolation help resolve this tension? I address these questions using eco-evolutionary models of polygenic adaptation, contrasting discrete demes with continuousspace.}, author = {Barton, Nicholas H}, issn = {1420-9101}, journal = {Journal of Evolutionary Biology}, number = {6}, pages = {605--615}, publisher = {Oxford University Press}, title = {{Limits to species' range: The tension between local and global adaptation}}, doi = {10.1093/jeb/voae052}, volume = {37}, year = {2024}, } @misc{17344, abstract = {This file contains the Mathematica notebook associated with the paper Effect of assortative mating and sexual selection on polygenic barriers to gene flow. It contains the numerical approximations, analyses, and simulations used in the study. }, author = {Surendranadh, Parvathy and Sachdeva, Himani}, publisher = {Institute of Science and Technology Austria}, title = {{Mathematica notebook for 'Effect of assortative mating and sexual selection on polygenic barriers to gene flow'}}, doi = {10.15479/AT:ISTA:17344}, year = {2024}, } @article{17888, abstract = {Context: Biotic resource exploitation is a critical determinant of species’ distributions. However, quantifying resource exploitation patterns through space and time can be difficult, complicating their incorporation in spatial ecology studies. Therefore, understanding the local drivers of spatial patterns of resource exploitation may contribute to better large-scale species distribution models. Objectives: We investigated (1) how the resource exploitation patterns of two trophic interactions (plant–insect) are explained by insect behaviour, resource aggregation, and potential insect-insect interactions. We also analyzed how (2) resource patch size and (3) resource accessibility in a heterogeneous landscape affected host exploitation patterns. Methods: We quantified nectar robbing by insects in the genus Bombus (bumblebees) and seed predation by Brachypterolus vestitus larvae (Antirrhinum beetle) on Antirrhinum majus L. (wild snapdragons) in the Pyrenees Mountains, Catalonia, Spain. We tested hypotheses about resource exploitation by integrating spatial analyses at multiple scales. Results: Both trophic interactions were aggregated, explained by the aggregation of their resource. At some scales, nectar robbing is more aggregated than the resource. Trophic interaction abundance is proportional to resource patch size, following the ideal free distribution model. Landscape features do not explain the locations exploited. Nectar robbing and seed predation occur together more often than expected. Conclusions: Our findings suggest that multiple biotic and ecological spatial factors may simultaneously affect resource exploitation at a local scale. These findings should be considered when developing agricultural projects, management plans and conservation policies.}, author = {Pocull Belles, Guillem and Baskett, Carina and Barton, Nicholas H}, issn = {1572-9761}, journal = {Landscape Ecology}, number = {9}, publisher = {Springer Nature}, title = {{Multiscale spatial analysis of two plant–insect interactions: Effects of landscape, resource distribution, and other insects}}, doi = {10.1007/s10980-024-01899-9}, volume = {39}, year = {2024}, } @article{18525, abstract = {As their statistical power grows, genome-wide association studies (GWAS) have identified an increasing number of loci underlying quantitative traits of interest. These loci are scattered throughout the genome and are individually responsible only for small fractions of the total heritable trait variance. The recently proposed omnigenic model provides a conceptual framework to explain these observations by postulating that numerous distant loci contribute to each complex trait via effect propagation through intracellular regulatory networks. We formalize this conceptual framework by proposing the “quantitative omnigenic model” (QOM), a statistical model that combines prior knowledge of the regulatory network topology with genomic data. By applying our model to gene expression traits in yeast, we demonstrate that QOM achieves similar gene expression prediction performance to traditional GWAS with hundreds of times less parameters, while simultaneously extracting candidate causal and quantitative chains of effect propagation through the regulatory network for every individual gene. We estimate the fraction of heritable trait variance in cis- and in trans-, break the latter down by effect propagation order, assess the trans- variance not attributable to transcriptional regulation, and show that QOM correctly accounts for the low-dimensional structure of gene expression covariance. We furthermore demonstrate the relevance of QOM for systems biology, by employing it as a statistical test for the quality of regulatory network reconstructions, and linking it to the propagation of nontranscriptional (including environmental) effects.}, author = {Ruzickova, Natalia and Hledik, Michal and Tkačik, Gašper}, issn = {1091-6490}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, number = {44}, publisher = {National Academy of Sciences}, title = {{Quantitative omnigenic model discovers interpretable genome-wide associations}}, doi = {10.1073/pnas.2402340121}, volume = {121}, year = {2024}, } @article{14796, abstract = {Key innovations are fundamental to biological diversification, but their genetic basis is poorly understood. A recent transition from egg-laying to live-bearing in marine snails (Littorina spp.) provides the opportunity to study the genetic architecture of an innovation that has evolved repeatedly across animals. Individuals do not cluster by reproductive mode in a genome-wide phylogeny, but local genealogical analysis revealed numerous small genomic regions where all live-bearers carry the same core haplotype. Candidate regions show evidence for live-bearer–specific positive selection and are enriched for genes that are differentially expressed between egg-laying and live-bearing reproductive systems. Ages of selective sweeps suggest that live-bearer–specific alleles accumulated over more than 200,000 generations. Our results suggest that new functions evolve through the recruitment of many alleles rather than in a single evolutionary step.}, author = {Stankowski, Sean and Zagrodzka, Zuzanna B. and Garlovsky, Martin D. and Pal, Arka and Shipilina, Daria and Garcia Castillo, Diego Fernando and Lifchitz, Hila and Le Moan, Alan and Leder, Erica and Reeve, James and Johannesson, Kerstin and Westram, Anja M and Butlin, Roger K.}, issn = {1095-9203}, journal = {Science}, number = {6678}, pages = {114--119}, publisher = {American Association for the Advancement of Science}, title = {{The genetic basis of a recent transition to live-bearing in marine snails}}, doi = {10.1126/science.adi2982}, volume = {383}, year = {2024}, } @article{11479, abstract = {Understanding population divergence that eventually leads to speciation is essential for evolutionary biology. High species diversity in the sea was regarded as a paradox when strict allopatry was considered necessary for most speciation events because geographical barriers seemed largely absent in the sea, and many marine species have high dispersal capacities. Combining genome-wide data with demographic modelling to infer the demographic history of divergence has introduced new ways to address this classical issue. These models assume an ancestral population that splits into two subpopulations diverging according to different scenarios that allow tests for periods of gene flow. Models can also test for heterogeneities in population sizes and migration rates along the genome to account, respectively, for background selection and selection against introgressed ancestry. To investigate how barriers to gene flow arise in the sea, we compiled studies modelling the demographic history of divergence in marine organisms and extracted preferred demographic scenarios together with estimates of demographic parameters. These studies show that geographical barriers to gene flow do exist in the sea but that divergence can also occur without strict isolation. Heterogeneity of gene flow was detected in most population pairs suggesting the predominance of semipermeable barriers during divergence. We found a weak positive relationship between the fraction of the genome experiencing reduced gene flow and levels of genome-wide differentiation. Furthermore, we found that the upper bound of the ‘grey zone of speciation’ for our dataset extended beyond that found before, implying that gene flow between diverging taxa is possible at higher levels of divergence than previously thought. Finally, we list recommendations for further strengthening the use of demographic modelling in speciation research. These include a more balanced representation of taxa, more consistent and comprehensive modelling, clear reporting of results and simulation studies to rule out nonbiological explanations for general results.}, author = {De Jode, Aurélien and Le Moan, Alan and Johannesson, Kerstin and Faria, Rui and Stankowski, Sean and Westram, Anja M and Butlin, Roger K. and Rafajlović, Marina and Fraisse, Christelle}, issn = {1752-4571}, journal = {Evolutionary Applications}, number = {2}, pages = {542--559}, publisher = {Wiley}, title = {{Ten years of demographic modelling of divergence and speciation in the sea}}, doi = {10.1111/eva.13428}, volume = {16}, year = {2023}, } @article{12166, abstract = {Kerstin Johannesson is a marine ecologist and evolutionary biologist based at the Tjärnö Marine Laboratory of the University of Gothenburg, which is situated in the beautiful Kosterhavet National Park on the Swedish west coast. Her work, using marine periwinkles (especially Littorina saxatilis and L. fabalis) as main model systems, has made a remarkable contribution to marine evolutionary biology and our understanding of local adaptation and its genetic underpinnings.}, author = {Westram, Anja M and Butlin, Roger}, issn = {1365-294X}, journal = {Molecular Ecology}, keywords = {Genetics, Ecology, Evolution, Behavior and Systematics}, number = {1}, pages = {26--29}, publisher = {Wiley}, title = {{Professor Kerstin Johannesson–winner of the 2022 Molecular Ecology Prize}}, doi = {10.1111/mec.16779}, volume = {32}, year = {2023}, } @article{12514, abstract = {The concept of a “speciation continuum” has gained popularity in recent decades. It emphasizes speciation as a continuous process that may be studied by comparing contemporary population pairs that show differing levels of divergence. In their recent perspective article in Evolution, Stankowski and Ravinet provided a valuable service by formally defining the speciation continuum as a continuum of reproductive isolation, based on opinions gathered from a survey of speciation researchers. While we agree that the speciation continuum has been a useful concept to advance the understanding of the speciation process, some intrinsic limitations exist. Here, we advocate for a multivariate extension, the speciation hypercube, first proposed by Dieckmann et al. in 2004, but rarely used since. We extend the idea of the speciation cube and suggest it has strong conceptual and practical advantages over a one-dimensional model. We illustrate how the speciation hypercube can be used to visualize and compare different speciation trajectories, providing new insights into the processes and mechanisms of speciation. A key strength of the speciation hypercube is that it provides a unifying framework for speciation research, as it allows questions from apparently disparate subfields to be addressed in a single conceptual model.}, author = {Bolnick, Daniel I. and Hund, Amanda K. and Nosil, Patrik and Peng, Foen and Ravinet, Mark and Stankowski, Sean and Subramanian, Swapna and Wolf, Jochen B.W. and Yukilevich, Roman}, issn = {1558-5646}, journal = {Evolution: International journal of organic evolution}, number = {1}, pages = {318--328}, publisher = {Oxford University Press}, title = {{A multivariate view of the speciation continuum}}, doi = {10.1093/evolut/qpac004}, volume = {77}, year = {2023}, } @misc{12933, abstract = {Datasets of the publication "Sex-specific estimation of cis and trans regulation of gene expression in heads and gonads of Drosophila melanogaster".}, author = {Puixeu Sala, Gemma}, publisher = {Institute of Science and Technology Austria}, title = {{Data from: Sex-specific estimation of cis and trans regulation of gene expression in heads and gonads of Drosophila melanogaster}}, doi = {10.15479/AT:ISTA:12933}, year = {2023}, } @misc{12949, abstract = {The classical infinitesimal model is a simple and robust model for the inheritance of quantitative traits. In this model, a quantitative trait is expressed as the sum of a genetic and a non-genetic (environmental) component and the genetic component of offspring traits within a family follows a normal distribution around the average of the parents’ trait values, and has a variance that is independent of the trait values of the parents. Although the trait distribution across the whole population can be far from normal, the trait distributions within families are normally distributed with a variance-covariance matrix that is determined entirely by that in the ancestral population and the probabilities of identity determined by the pedigree. Moreover, conditioning on some of the trait values within the pedigree has predictable effects on the mean and variance within and between families. In previous work, Barton et al. (2017), we showed that when trait values are determined by the sum of a large number of Mendelian factors, each of small effect, one can justify the infinitesimal model as limit of Mendelian inheritance. It was also shown that under some forms of epistasis, trait values within a family are still normally distributed.}, author = {Barton, Nicholas H}, keywords = {Quantitative genetics, infinitesimal model}, publisher = {Institute of Science and Technology Austria}, title = {{The infinitesimal model with dominance}}, doi = {10.15479/AT:ISTA:12949}, year = {2023}, } @phdthesis{14058, abstract = {Females and males across species are subject to divergent selective pressures arising from di↵erent reproductive interests and ecological niches. This often translates into a intricate array of sex-specific natural and sexual selection on traits that have a shared genetic basis between both sexes, causing a genetic sexual conflict. The resolution of this conflict mostly relies on the evolution of sex-specific expression of the shared genes, leading to phenotypic sexual dimorphism. Such sex-specific gene expression is thought to evolve via modifications of the genetic networks ultimately linked to sex-determining transcription factors. Although much empirical and theoretical evidence supports this standard picture of the molecular basis of sexual conflict resolution, there still are a few open questions regarding the complex array of selective forces driving phenotypic di↵erentiation between the sexes, as well as the molecular mechanisms underlying sexspecific adaptation. I address some of these open questions in my PhD thesis. First, how do patterns of phenotypic sexual dimorphism vary within populations, as a response to the temporal and spatial changes in sex-specific selective forces? To tackle this question, I analyze the patterns of sex-specific phenotypic variation along three life stages and across populations spanning the whole geographical range of Rumex hastatulus, a wind-pollinated angiosperm, in the first Chapter of the thesis. Second, how do gene expression patterns lead to phenotypic dimorphism, and what are the molecular mechanisms underlying the observed transcriptomic variation? I address this question by examining the sex- and tissue-specific expression variation in newly-generated datasets of sex-specific expression in heads and gonads of Drosophila melanogaster. I additionally used two complementary approaches for the study of the genetic basis of sex di↵erences in gene expression in the second and third Chapters of the thesis. Third, how does intersex correlation, thought to be one of the main aspects constraining the ability for the two sexes to decouple, interact with the evolution of sexual dimorphism? I develop models of sex-specific stabilizing selection, mutation and drift to formalize common intuition regarding the patterns of covariation between intersex correlation and sexual dimorphism in the fourth Chapter of the thesis. Alltogether, the work described in this PhD thesis provides useful insights into the links between genetic, transcriptomic and phenotypic layers of sex-specific variation, and contributes to our general understanding of the dynamics of sexual dimorphism evolution.}, author = {Puixeu Sala, Gemma}, isbn = {978-3-99078-035-0}, issn = {2663-337X}, pages = {230}, publisher = {Institute of Science and Technology Austria}, title = {{The molecular basis of sexual dimorphism: Experimental and theoretical characterization of phenotypic, transcriptomic and genetic patterns of sex-specific adaptation}}, doi = {10.15479/at:ista:14058}, year = {2023}, } @article{14077, abstract = {The regulatory architecture of gene expression is known to differ substantially between sexes in Drosophila, but most studies performed so far used whole-body data and only single crosses, which may have limited their scope to detect patterns that are robust across tissues and biological replicates. Here, we use allele-specific gene expression of parental and reciprocal hybrid crosses between 6 Drosophila melanogaster inbred lines to quantify cis- and trans-regulatory variation in heads and gonads of both sexes separately across 3 replicate crosses. Our results suggest that female and male heads, as well as ovaries, have a similar regulatory architecture. On the other hand, testes display more and substantially different cis-regulatory effects, suggesting that sex differences in the regulatory architecture that have been previously observed may largely derive from testis-specific effects. We also examine the difference in cis-regulatory variation of genes across different levels of sex bias in gonads and heads. Consistent with the idea that intersex correlations constrain expression and can lead to sexual antagonism, we find more cis variation in unbiased and moderately biased genes in heads. In ovaries, reduced cis variation is observed for male-biased genes, suggesting that cis variants acting on these genes in males do not lead to changes in ovary expression. Finally, we examine the dominance patterns of gene expression and find that sex- and tissue-specific patterns of inheritance as well as trans-regulatory variation are highly variable across biological crosses, although these were performed in highly controlled experimental conditions. This highlights the importance of using various genetic backgrounds to infer generalizable patterns.}, author = {Puixeu Sala, Gemma and Macon, Ariana and Vicoso, Beatriz}, issn = {2160-1836}, journal = {G3: Genes, Genomes, Genetics}, keywords = {Genetics (clinical), Genetics, Molecular Biology}, number = {8}, publisher = {Oxford University Press}, title = {{Sex-specific estimation of cis and trans regulation of gene expression in heads and gonads of Drosophila melanogaster}}, doi = {10.1093/g3journal/jkad121}, volume = {13}, year = {2023}, } @article{14452, abstract = {The classical infinitesimal model is a simple and robust model for the inheritance of quantitative traits. In this model, a quantitative trait is expressed as the sum of a genetic and an environmental component, and the genetic component of offspring traits within a family follows a normal distribution around the average of the parents’ trait values, and has a variance that is independent of the parental traits. In previous work, we showed that when trait values are determined by the sum of a large number of additive Mendelian factors, each of small effect, one can justify the infinitesimal model as a limit of Mendelian inheritance. In this paper, we show that this result extends to include dominance. We define the model in terms of classical quantities of quantitative genetics, before justifying it as a limit of Mendelian inheritance as the number, M, of underlying loci tends to infinity. As in the additive case, the multivariate normal distribution of trait values across the pedigree can be expressed in terms of variance components in an ancestral population and probabilities of identity by descent determined by the pedigree. Now, with just first-order dominance effects, we require two-, three-, and four-way identities. We also show that, even if we condition on parental trait values, the “shared” and “residual” components of trait values within each family will be asymptotically normally distributed as the number of loci tends to infinity, with an error of order 1/M−−√⁠. We illustrate our results with some numerical examples.}, author = {Barton, Nicholas H and Etheridge, Alison M. and Véber, Amandine}, issn = {1943-2631}, journal = {Genetics}, number = {2}, publisher = {Oxford University Press}, title = {{The infinitesimal model with dominance}}, doi = {10.1093/genetics/iyad133}, volume = {225}, year = {2023}, } @article{14552, abstract = {Interactions between plants and herbivores are central in most ecosystems, but their strength is highly variable. The amount of variability within a system is thought to influence most aspects of plant-herbivore biology, from ecological stability to plant defense evolution. Our understanding of what influences variability, however, is limited by sparse data. We collected standardized surveys of herbivory for 503 plant species at 790 sites across 116° of latitude. With these data, we show that within-population variability in herbivory increases with latitude, decreases with plant size, and is phylogenetically structured. Differences in the magnitude of variability are thus central to how plant-herbivore biology varies across macroscale gradients. We argue that increased focus on interaction variability will advance understanding of patterns of life on Earth.}, author = {Robinson, M. L. and Hahn, P. G. and Inouye, B. D. and Underwood, N. and Whitehead, S. R. and Abbott, K. C. and Bruna, E. M. and Cacho, N. I. and Dyer, L. A. and Abdala-Roberts, L. and Allen, W. J. and Andrade, J. F. and Angulo, D. F. and Anjos, D. and Anstett, D. N. and Bagchi, R. and Bagchi, S. and Barbosa, M. and Barrett, S. and Baskett, Carina and Ben-Simchon, E. and Bloodworth, K. J. and Bronstein, J. L. and Buckley, Y. M. and Burghardt, K. T. and Bustos-Segura, C. and Calixto, E. S. and Carvalho, R. L. and Castagneyrol, B. and Chiuffo, M. C. and Cinoğlu, D. and Cinto Mejía, E. and Cock, M. C. and Cogni, R. and Cope, O. L. and Cornelissen, T. and Cortez, D. R. and Crowder, D. W. and Dallstream, C. and Dáttilo, W. and Davis, J. K. and Dimarco, R. D. and Dole, H. E. and Egbon, I. N. and Eisenring, M. and Ejomah, A. and Elderd, B. D. and Endara, M. J. and Eubanks, M. D. and Everingham, S. E. and Farah, K. N. and Farias, R. P. and Fernandes, A. P. and Fernandes, G. W. and Ferrante, M. and Finn, A. and Florjancic, G. A. and Forister, M. L. and Fox, Q. N. and Frago, E. and França, F. M. and Getman-Pickering, A. S. and Getman-Pickering, Z. and Gianoli, E. and Gooden, B. and Gossner, M. M. and Greig, K. A. and Gripenberg, S. and Groenteman, R. and Grof-Tisza, P. and Haack, N. and Hahn, L. and Haq, S. M. and Helms, A. M. and Hennecke, J. and Hermann, S. L. and Holeski, L. M. and Holm, S. and Hutchinson, M. C. and Jackson, E. E. and Kagiya, S. and Kalske, A. and Kalwajtys, M. and Karban, R. and Kariyat, R. and Keasar, T. and Kersch-Becker, M. F. and Kharouba, H. M. and Kim, T. N. and Kimuyu, D. M. and Kluse, J. and Koerner, S. E. and Komatsu, K. J. and Krishnan, S. and Laihonen, M. and Lamelas-López, L. and Lascaleia, M. C. and Lecomte, N. and Lehn, C. R. and Li, X. and Lindroth, R. L. and Lopresti, E. F. and Losada, M. and Louthan, A. M. and Luizzi, V. J. and Lynch, S. C. and Lynn, J. S. and Lyon, N. J. and Maia, L. F. and Maia, R. A. and Mannall, T. L. and Martin, B. S. and Massad, T. J. and Mccall, A. C. and Mcgurrin, K. and Merwin, A. C. and Mijango-Ramos, Z. and Mills, C. H. and Moles, A. T. and Moore, C. M. and Moreira, X. and Morrison, C. R. and Moshobane, M. C. and Muola, A. and Nakadai, R. and Nakajima, K. and Novais, S. and Ogbebor, C. O. and Ohsaki, H. and Pan, V. S. and Pardikes, N. A. and Pareja, M. and Parthasarathy, N. and Pawar, R. R. and Paynter, Q. and Pearse, I. S. and Penczykowski, R. M. and Pepi, A. A. and Pereira, C. C. and Phartyal, S. S. and Piper, F. I. and Poveda, K. and Pringle, E. G. and Puy, J. and Quijano, T. and Quintero, C. and Rasmann, S. and Rosche, C. and Rosenheim, L. Y. and Rosenheim, J. A. and Runyon, J. B. and Sadeh, A. and Sakata, Y. and Salcido, D. M. and Salgado-Luarte, C. and Santos, B. A. and Sapir, Y. and Sasal, Y. and Sato, Y. and Sawant, M. and Schroeder, H. and Schumann, I. and Segoli, M. and Segre, H. and Shelef, O. and Shinohara, N. and Singh, R. P. and Smith, D. S. and Sobral, M. and Stotz, G. C. and Tack, A. J.M. and Tayal, M. and Tooker, J. F. and Torrico-Bazoberry, D. and Tougeron, K. and Trowbridge, A. M. and Utsumi, S. and Uyi, O. and Vaca-Uribe, J. L. and Valtonen, A. and Van Dijk, L. J.A. and Vandvik, V. and Villellas, J. and Waller, L. P. and Weber, M. G. and Yamawo, A. and Yim, S. and Zarnetske, P. L. and Zehr, L. N. and Zhong, Z. and Wetzel, W. C.}, issn = {1095-9203}, journal = {Science}, number = {6671}, pages = {679--683}, publisher = {AAAS}, title = {{Plant size, latitude, and phylogeny explain within-population variability in herbivory}}, doi = {10.1126/science.adh8830}, volume = {382}, year = {2023}, } @article{14556, abstract = {Inversions are structural mutations that reverse the sequence of a chromosome segment and reduce the effective rate of recombination in the heterozygous state. They play a major role in adaptation, as well as in other evolutionary processes such as speciation. Although inversions have been studied since the 1920s, they remain difficult to investigate because the reduced recombination conferred by them strengthens the effects of drift and hitchhiking, which in turn can obscure signatures of selection. Nonetheless, numerous inversions have been found to be under selection. Given recent advances in population genetic theory and empirical study, here we review how different mechanisms of selection affect the evolution of inversions. A key difference between inversions and other mutations, such as single nucleotide variants, is that the fitness of an inversion may be affected by a larger number of frequently interacting processes. This considerably complicates the analysis of the causes underlying the evolution of inversions. We discuss the extent to which these mechanisms can be disentangled, and by which approach.}, author = {Berdan, Emma L. and Barton, Nicholas H and Butlin, Roger and Charlesworth, Brian and Faria, Rui and Fragata, Inês and Gilbert, Kimberly J. and Jay, Paul and Kapun, Martin and Lotterhos, Katie E. and Mérot, Claire and Durmaz Mitchell, Esra and Pascual, Marta and Peichel, Catherine L. and Rafajlović, Marina and Westram, Anja M and Schaeffer, Stephen W. and Johannesson, Kerstin and Flatt, Thomas}, issn = {1420-9101}, journal = {Journal of Evolutionary Biology}, number = {12}, publisher = {Wiley}, title = {{How chromosomal inversions reorient the evolutionary process}}, doi = {10.1111/jeb.14242}, volume = {36}, year = {2023}, } @misc{14579, abstract = {This is associated with our paper "Plant size, latitude, and phylogeny explain within-population variability in herbivory" published in Science. }, author = {Wetzel, William}, publisher = {Zenodo}, title = {{HerbVar-Network/HV-Large-Patterns-MS-public: v1.0.0}}, doi = {10.5281/ZENODO.8133117}, year = {2023}, } @phdthesis{14651, abstract = {For self-incompatibility (SI) to be stable in a population, theory predicts that sufficient inbreeding depression (ID) is required: the fitness of offspring from self-mated individuals must be low enough to prevent the spread of self-compatibility (SC). Reviews of natural plant populations have supported this theory, with SI species generally showing high levels of ID. However, there is thought to be an under-sampling of self-incompatible taxa in the current literature. In this thesis, I study inbreeding depression in the SI plant species Antirrhinum majus using both greenhouse crosses and a large collected field dataset. Additionally, the gametophytic S-locus of A. majus is highly heterozygous and polymorphic, thus making assembly and discovery of S-alleles very difficult. Here, 206 new alleles of the male component SLFs are presented, along with a phylogeny showing the high conservation with alleles from another Antirrhinum species. Lastly, selected sites within the protein structure of SLFs are investigated, with one site in particular highlighted as potentially being involved in the SI recognition mechanism.}, author = {Arathoon, Louise S}, issn = {2663-337X}, pages = {96}, publisher = {Institute of Science and Technology Austria}, title = {{Investigating inbreeding depression and the self-incompatibility locus of Antirrhinum majus}}, doi = {10.15479/at:ista:14651}, year = {2023}, } @unpublished{14732, abstract = {Fragmented landscapes pose a significant threat to the persistence of species as they are highly susceptible to heightened risk of extinction due to the combined effects of genetic and demographic factors such as genetic drift and demographic stochasticity. This paper explores the intricate interplay between genetic load and extinction risk within metapopulations with a focus on understanding the impact of eco-evolutionary feedback mechanisms. We distinguish between two models of selection: soft selection, characterised by subpopulations maintaining carrying capacity despite load, and hard selection, where load can significantly affect population size. Within the soft selection framework, we investigate the impact of gene flow on genetic load at a single locus, while also considering the effect of selection strength and dominance coefficient. We subsequently build on this to examine how gene flow influences both population size and load under hard selection as well as identify critical thresholds for metapopulation persistence. Our analysis employs the diffusion, semi-deterministic and effective migration approximations. Our findings reveal that under soft selection, even modest levels of migration can significantly alleviate the burden of load. In sharp contrast, with hard selection, a much higher degree of gene flow is required to mitigate load and prevent the collapse of the metapopulation. Overall, this study sheds light into the crucial role migration plays in shaping the dynamics of genetic load and extinction risk in fragmented landscapes, offering valuable insights for conservation strategies and the preservation of diversity in a changing world.}, author = {Olusanya, Oluwafunmilola O and Khudiakova, Kseniia and Sachdeva, Himani}, booktitle = {bioRxiv}, title = {{Genetic load, eco-evolutionary feedback and extinction in a metapopulation}}, doi = {10.1101/2023.12.02.569702}, year = {2023}, }