@misc{9786, author = {Ruess, Jakob and Pleska, Maros and Guet, Calin C and Tkačik, Gašper}, publisher = {Public Library of Science}, title = {{Supporting text and results}}, doi = {10.1371/journal.pcbi.1007168.s001}, year = {2019}, } @misc{9789, author = {Pokusaeva, Victoria and Usmanova, Dinara R. and Putintseva, Ekaterina V. and Espinar, Lorena and Sarkisyan, Karen and Mishin, Alexander S. and Bogatyreva, Natalya S. and Ivankov, Dmitry and Akopyan, Arseniy and Avvakumov, Sergey and Povolotskaya, Inna S. and Filion, Guillaume J. and Carey, Lucas B. and Kondrashov, Fyodor}, publisher = {Public Library of Science}, title = {{Multiple alignment of His3 orthologues}}, doi = {10.1371/journal.pgen.1008079.s010}, year = {2019}, } @misc{9790, author = {Pokusaeva, Victoria and Usmanova, Dinara R. and Putintseva, Ekaterina V. and Espinar, Lorena and Sarkisyan, Karen and Mishin, Alexander S. and Bogatyreva, Natalya S. and Ivankov, Dmitry and Akopyan, Arseniy and Avvakumov, Sergey and Povolotskaya, Inna S. and Filion, Guillaume J. and Carey, Lucas B. and Kondrashov, Fyodor}, publisher = {Public Library of Science}, title = {{A statistical summary of segment libraries and sequencing results}}, doi = {10.1371/journal.pgen.1008079.s011}, year = {2019}, } @misc{9797, author = {Pokusaeva, Victoria and Usmanova, Dinara R. and Putintseva, Ekaterina V. and Espinar, Lorena and Sarkisyan, Karen and Mishin, Alexander S. and Bogatyreva, Natalya S. and Ivankov, Dmitry and Akopyan, Arseniy and Povolotskaya, Inna S. and Filion, Guillaume J. and Carey, Lucas B. and Kondrashov, Fyodor}, publisher = {Public Library of Science}, title = {{A statistical summary of segment libraries and sequencing results}}, doi = {10.1371/journal.pgen.1008079.s011}, year = {2019}, } @misc{9801, author = {Merrill, Richard M. and Rastas, Pasi and Martin, Simon H. and Melo Hurtado, Maria C and Barker, Sarah and Davey, John and Mcmillan, W. Owen and Jiggins, Chris D.}, publisher = {Public Library of Science}, title = {{Raw behavioral data}}, doi = {10.1371/journal.pbio.2005902.s006}, year = {2019}, } @misc{9802, abstract = {This paper analyzes how partial selfing in a large source population influences its ability to colonize a new habitat via the introduction of a few founder individuals. Founders experience inbreeding depression due to partially recessive deleterious alleles as well as maladaptation to the new environment due to selection on a large number of additive loci. I first introduce a simplified version of the Inbreeding History Model (Kelly, 2007) in order to characterize mutation-selection balance in a large, partially selfing source population under selection involving multiple non-identical loci. I then use individual-based simulations to study the eco-evolutionary dynamics of founders establishing in the new habitat under a model of hard selection. The study explores how selfing rate shapes establishment probabilities of founders via effects on both inbreeding depression and adaptability to the new environment, and also distinguishes the effects of selfing on the initial fitness of founders from its effects on the long-term adaptive response of the populations they found. A high rate of (but not complete) selfing is found to aid establishment over a wide range of parameters, even in the absence of mate limitation. The sensitivity of the results to assumptions about the nature of polygenic selection are discussed.}, author = {Sachdeva, Himani}, publisher = {Dryad}, title = {{Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat}}, doi = {10.5061/dryad.8tp0900}, year = {2019}, } @misc{9803, abstract = {Understanding the mechanisms causing phenotypic differences between females and males has long fascinated evolutionary biologists. An extensive literature exists on animal sexual dimorphism but less is known about sex differences in plants, particularly the extent of geographical variation in sexual dimorphism and its life-cycle dynamics. Here, we investigate patterns of genetically-based sexual dimorphism in vegetative and reproductive traits of a wind-pollinated dioecious plant, Rumex hastatulus, across three life-cycle stages using open-pollinated families from 30 populations spanning the geographic range and chromosomal variation (XY and XY1Y2) of the species. The direction and degree of sexual dimorphism was highly variable among populations and life-cycle stages. Sex-specific differences in reproductive function explained a significant amount of temporal change in sexual dimorphism. For several traits, geographical variation in sexual dimorphism was associated with bioclimatic parameters, likely due to the differential responses of the sexes to climate. We found no systematic differences in sexual dimorphism between chromosome races. Sex-specific trait differences in dioecious plants largely result from a balance between sexual and natural selection on resource allocation. Our results indicate that abiotic factors associated with geographical context also play a role in modifying sexual dimorphism during the plant life cycle.}, author = {Puixeu Sala, Gemma and Pickup, Melinda and Field, David and Barrett, Spencer C.H.}, publisher = {Dryad}, title = {{Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics}}, doi = {10.5061/dryad.n1701c9}, year = {2019}, } @misc{9804, abstract = {Evolutionary studies are often limited by missing data that are critical to understanding the history of selection. Selection experiments, which reproduce rapid evolution under controlled conditions, are excellent tools to study how genomes evolve under selection. Here we present a genomic dissection of the Longshanks selection experiment, in which mice were selectively bred over 20 generations for longer tibiae relative to body mass, resulting in 13% longer tibiae in two replicates. We synthesized evolutionary theory, genome sequences and molecular genetics to understand the selection response and found that it involved both polygenic adaptation and discrete loci of major effect, with the strongest loci tending to be selected in parallel between replicates. We show that selection may favor de-repression of bone growth through inactivating two limb enhancers of an inhibitor, Nkx3-2. Our integrative genomic analyses thus show that it is possible to connect individual base-pair changes to the overall selection response.}, author = {Castro, João Pl and Yancoskie, Michelle N. and Marchini, Marta and Belohlavy, Stefanie and Hiramatsu, Layla and Kučka, Marek and Beluch, William H. and Naumann, Ronald and Skuplik, Isabella and Cobb, John and Barton, Nicholas H and Rolian, Campbell and Chan, Yingguang Frank}, publisher = {Dryad}, title = {{Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice}}, doi = {10.5061/dryad.0q2h6tk}, year = {2019}, } @misc{9805, abstract = {The spread of adaptive alleles is fundamental to evolution, and in theory, this process is well‐understood. However, only rarely can we follow this process—whether it originates from the spread of a new mutation, or by introgression from another population. In this issue of Molecular Ecology, Hanemaaijer et al. (2018) report on a 25‐year long study of the mosquitoes Anopheles gambiae (Figure 1) and Anopheles coluzzi in Mali, based on genotypes at 15 single‐nucleotide polymorphism (SNP). The species are usually reproductively isolated from each other, but in 2002 and 2006, bursts of hybridization were observed, when F1 hybrids became abundant. Alleles backcrossed from A. gambiae into A. coluzzi, but after the first event, these declined over the following years. In contrast, after 2006, an insecticide resistance allele that had established in A. gambiae spread into A. coluzzi, and rose to high frequency there, over 6 years (~75 generations). Whole genome sequences of 74 individuals showed that A. gambiae SNP from across the genome had become common in the A. coluzzi population, but that most of these were clustered in 34 genes around the resistance locus. A new set of SNP from 25 of these genes were assayed over time; over the 4 years since near‐fixation of the resistance allele; some remained common, whereas others declined. What do these patterns tell us about this introgression event?}, author = {Barton, Nicholas H}, publisher = {Dryad}, title = {{Data from: The consequences of an introgression event}}, doi = {10.5061/dryad.2kb6fh4}, year = {2019}, } @misc{9806, abstract = {1. Hosts can alter their strategy towards pathogens during their lifetime, i.e., they can show phenotypic plasticity in immunity or life history. Immune priming is one such example, where a previous encounter with a pathogen confers enhanced protection upon secondary challenge, resulting in reduced pathogen load (i.e. resistance) and improved host survival. However, an initial encounter might also enhance tolerance, particularly to less virulent opportunistic pathogens that establish persistent infections. In this scenario, individuals are better able to reduce the negative fitness consequences that result from a high pathogen load. Finally, previous exposure may also lead to life history adjustments, such as terminal investment into reproduction. 2. Using different Drosophila melanogaster host genotypes and two bacterial pathogens, Lactococcus lactis and Pseudomonas entomophila, we tested if previous exposure results in resistance or tolerance and whether it modifies immune gene expression during an acute-phase infection (one day post-challenge). We then asked if previous pathogen exposure affects chronic-phase pathogen persistence and longer-term survival (28 days post-challenge). 3. We predicted that previous exposure would increase host resistance to an early stage bacterial infection while it might come at a cost to host fecundity tolerance. We reasoned that resistance would be due in part to stronger immune gene expression after challenge. We expected that previous exposure would improve long-term survival, that it would reduce infection persistence, and we expected to find genetic variation in these responses. 4. We found that previous exposure to P. entomophila weakened host resistance to a second infection independent of genotype and had no effect on immune gene expression. Fecundity tolerance showed genotypic variation but was not influenced by previous exposure. However, L. lactis persisted as a chronic infection, whereas survivors cleared the more pathogenic P. entomophila infection. 5. To our knowledge, this is the first study that addresses host tolerance to bacteria in relation to previous exposure, taking a multi-faceted approach to address the topic. Our results suggest that previous exposure comes with transient costs to resistance during the early stage of infection in this host-pathogen system and that infection persistence may be bacterium-specific.}, author = {Kutzer, Megan and Kurtz, Joachim and Armitage, Sophie A.O.}, publisher = {Dryad}, title = {{Data from: A multi-faceted approach testing the effects of previous bacterial exposure on resistance and tolerance}}, doi = {10.5061/dryad.9kj41f0}, year = {2019}, } @misc{9839, abstract = {More than 100 years after Grigg’s influential analysis of species’ borders, the causes of limits to species’ ranges still represent a puzzle that has never been understood with clarity. The topic has become especially important recently as many scientists have become interested in the potential for species’ ranges to shift in response to climate change—and yet nearly all of those studies fail to recognise or incorporate evolutionary genetics in a way that relates to theoretical developments. I show that range margins can be understood based on just two measurable parameters: (i) the fitness cost of dispersal—a measure of environmental heterogeneity—and (ii) the strength of genetic drift, which reduces genetic diversity. Together, these two parameters define an ‘expansion threshold’: adaptation fails when genetic drift reduces genetic diversity below that required for adaptation to a heterogeneous environment. When the key parameters drop below this expansion threshold locally, a sharp range margin forms. When they drop below this threshold throughout the species’ range, adaptation collapses everywhere, resulting in either extinction or formation of a fragmented metapopulation. Because the effects of dispersal differ fundamentally with dimension, the second parameter—the strength of genetic drift—is qualitatively different compared to a linear habitat. In two-dimensional habitats, genetic drift becomes effectively independent of selection. It decreases with ‘neighbourhood size’—the number of individuals accessible by dispersal within one generation. Moreover, in contrast to earlier predictions, which neglected evolution of genetic variance and/or stochasticity in two dimensions, dispersal into small marginal populations aids adaptation. This is because the reduction of both genetic and demographic stochasticity has a stronger effect than the cost of dispersal through increased maladaptation. The expansion threshold thus provides a novel, theoretically justified, and testable prediction for formation of the range margin and collapse of the species’ range.}, author = {Polechova, Jitka}, publisher = {Dryad}, title = {{Data from: Is the sky the limit? On the expansion threshold of a species' range}}, doi = {10.5061/dryad.5vv37}, year = {2019}, } @misc{9890, abstract = {Distribution of OGs with mosaic phyletic patterns across species (complete genomes only). (CSV 7 kb)}, author = {Sigalova, Olga M. and Chaplin, Andrei V. and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.}, publisher = {Springer Nature}, title = {{Additional file 15 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}}, doi = {10.6084/m9.figshare.9808802.v1}, year = {2019}, } @misc{9892, abstract = {Distribution of OGs with mosaic phyletic patterns across species (all genomes). (CSV 10 kb)}, author = {Sigalova, Olga M. and Chaplin, Andrei V and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.}, publisher = {Springer Nature}, title = {{Additional file 16 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}}, doi = {10.6084/m9.figshare.9808814.v1}, year = {2019}, } @misc{9893, abstract = {Summary of peripheral genesa phyletic patterns and tree concordance. (CSV 26 kb)}, author = {Sigalova, Olga M. and Chaplin, Andrei V. and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.}, publisher = {Springer Nature}, title = {{Additional file 17 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}}, doi = {10.6084/m9.figshare.9808820.v1}, year = {2019}, } @misc{9894, abstract = {Orthologous families (OFs) derived by MCL clustering of OGs. (CSV 189 kb)}, author = {Sigalova, Olga M. and Chaplin, Andrei V. and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.}, publisher = {Springer Nature}, title = {{Additional file 18 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}}, doi = {10.6084/m9.figshare.9808826.v1}, year = {2019}, } @misc{9895, abstract = {Additional information on proteins from OG1. (CSV 30 kb)}, author = {Sigalova, Olga M. and Chaplin, Andrei V. and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.}, publisher = {Springer Nature}, title = {{Additional file 19 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}}, doi = {10.6084/m9.figshare.9808835.v1}, year = {2019}, } @misc{9896, abstract = {Summary of the analysed genomes. (CSV 24 kb)}, author = {Sigalova, Olga M. and Chaplin, Andrei V. and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.}, publisher = {Springer Nature}, title = {{Additional file 1 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}}, doi = {10.6084/m9.figshare.9808841.v1}, year = {2019}, } @misc{9897, abstract = {Frameshift and nonsense mutations near homopolymeric tracts of OG1 genes. Only 374 genes with typical length and domain composition were considered. (CSV 6 kb)}, author = {Sigalova, Olga M. and Chaplin, Andrei V. and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.}, publisher = {Springer Nature}, title = {{Additional file 20 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}}, doi = {10.6084/m9.figshare.9808850.v1}, year = {2019}, } @misc{9898, abstract = {All polyN tracts of length 5 or more nucleotides in sequences of genes from OG1. Sequences were extracted and scanned prior to automatic correction for frameshifts implemented in the RAST pipeline. (CSV 133 kb)}, author = {Sigalova, Olga M. and Chaplin, Andrei V. and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.}, publisher = {Springer Nature}, title = {{Additional file 21 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}}, doi = {10.6084/m9.figshare.9808859.v1}, year = {2019}, } @misc{9899, abstract = {Summary of orthologous groups (OGs) for 227 genomes of genus Chlamydia. (CSV 362 kb)}, author = {Sigalova, Olga M. and Chaplin, Andrei V. and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.}, publisher = {Springer Nature}, title = {{Additional file 2 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}}, doi = {10.6084/m9.figshare.9808865.v1}, year = {2019}, }