isolation with migration
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2022 ◽  
Author(s):  
Lili Li ◽  
Pascal Milesi ◽  
Mathieu Tiret ◽  
Jun Chen ◽  
Janek Sendrowski ◽  
...  

Vast population movements induced by recurrent climatic cycles have shaped the genetic structure of plant species. This is especially true in Scandinavia that was repeatedly glaciated. During glacial periods trees were confined to refugia, south and east of the ice sheet, from which they recolonized Scandinavia as the ice melted away. This multi-pronged recolonization led to large contact zones in most species. We leverage large genomic data from 5000 trees to reconstruct the demographic history of Norway spruce (Picea abies) and test for the presence of natural selection during the recolonization process and the establishment of the contact zone. Sweden is today made up of two large genetic clusters, a southern one originating from the Baltics and a Northern one originating from Northern Russia. The contact zone delineating these two clusters closely matches the limit between two major climatic regions. This suggests that natural selection contributed to the establishment and the maintenance of the contact zone. To test this hypothesis we first used Approximate Bayesian Computation; an Isolation-with migration model with genomewide linked selection fits the data better than a purely neutral one. Secondly, we identified loci characterized by both extreme allele frequency differences between geographic regions and association to the variables defining the climatic zones. These loci, many of which are related to phenology, form clusters present on all linkage groups. Altogether, the current genetic structure reflects the joint effect of climatic cycles, recolonization and selection on the establishment of strong local adaptation and con-tact zones.


2021 ◽  
Author(s):  
Kieran Samuk ◽  
Mohamed A.F. Noor

Accurate estimates of the rate of recombination are key to understanding a host of evolutionary processes as well as the evolution of recombination rate itself. Model-based population genetic methods that infer recombination rates from patterns of linkage disequilibrium (LD) in the genome have become a popular method to estimate rates of recombination. However, these LD-based methods make a variety of simplifying assumptions about the populations of interest that are often not met in natural populations. One such assumption is the absence of gene flow from other populations. Here, we use forward-time population genetic simulations of isolation-with-migration scenarios to explore how gene flow affects the accuracy of LD-based estimators of recombination rate. We find that moderate levels of gene flow can result in either the overestimation or underestimation of recombination rates by up to 20-50% depending on the timing of divergence. We also find that these biases can affect the detection of interpopulation differences in recombination rate, causing both false positive and false negatives depending on the scenario. We discuss future possibilities for mitigating these biases and recommend that investigators exercise caution and confirm that their study populations meet assumptions before deploying these methods.


2021 ◽  
Author(s):  
Brandon Legried ◽  
Jonathan Terhorst

AbstractA number of powerful demographic inference methods have been developed in recent years, with the goal of fitting rich evolutionary models to genetic data obtained from many populations. In this paper we investigate the statistical performance of these methods in the specific case where there is continuous migration between populations. Compared with earlier work, migration significantly complicates the theoretical analysis and demands new techniques. We employ the theories of phase-type distributions and concentration of measure in order to study the two-island and isolation-with-migration models, resulting in both upper and lower bounds. For the upper bounds, we consider inferring rates of coalescent and migration on the basis of directly observing pairwise coalescent times, and, more realistically, when (conditionally) Poisson-distributed mutations dropped on latent trees are observed. We complement these upper bounds with information-theoretic lower bounds which establish a limit, in terms of sample size, below which inference is effectively impossible.


2021 ◽  
Author(s):  
Emily E. Bendall ◽  
Robin Bagley ◽  
Catherine R. Linnen ◽  
Vitor C. Sousa

AbstractEmpirical data from diverse taxa indicate that the hemizygous portions of the genome (X/Z chromosomes) evolve more rapidly than their diploid counterparts. Faster-X theory predicts increased rates of adaptive substitutions between isolated species, yet little is known about species experiencing gene flow. Here we investigate how hemizygosity impacts genome-wide patterns of differentiation during adaptive divergence with gene flow, combining simulations under isolation-with-migration models, a meta-analysis of autosomes and sex-chromosomes from diverse taxa, and analysis of haplodiploid species. First, using deterministic and stochastic simulations, we show that elevated differentiation at hemizygous loci occurs when there is gene flow, irrespective of dominance. This faster-X adaptive differentiation stems from more efficient selection resulting in reduced probability of losing the beneficial allele, greater migration-selection threshold, greater allele frequency differences at equilibrium, and a faster time to equilibrium. Second, by simulating neutral variation linked to selected loci, we show that faster-X differentiation affects linked variation due to reduced opportunities for recombination between locally adaptive and maladaptive immigrant haplotypes. Third, after correcting for expected differences in effective population size, we find that most taxon pairs (24 out of 28) exhibit faster-X differentiation in the meta-analysis. Finally, using a novel approach combining demographic modeling and simulations, we found evidence for faster-X differentiation in haplodiploid pine-feeding hymenopteran species adapted to different host plants. Together, our results indicate that divergent selection with gene flow can lead to higher differentiation at selected and linked variation in hemizygous loci (i.e., faster-X adaptive differentiation), both in X/Z-chromosomes and haplodiploid species.


Author(s):  
Paolo Momigliano ◽  
Ann-Britt Florin ◽  
Juha Merilä

Abstract Testing among competing demographic models of divergence has become an important component of evolutionary research in model and non-model organisms. However, the effect of unaccounted demographic events on model choice and parameter estimation remains largely unexplored. Using extensive simulations, we demonstrate that under realistic divergence scenarios, failure to account for population size (Ne) changes in daughter and ancestral populations leads to strong biases in divergence time estimates as well as model choice. We illustrate these issues reconstructing the recent demographic history of North Sea and Baltic Sea turbots (Schopthalmus maximus) by testing 16 Isolation with Migration (IM) and 16 Secondary Contact (SC) scenarios, modelling changes in Ne as well as the effects of linked selection and barrier loci. Failure to account for changes in Ne resulted in selecting SC models with long periods of isolation and divergence times preceding the formation of the Baltic Sea. In contrast, models accounting for Ne changes suggest recent (<6 kya) divergence with constant gene flow. We further show how interpreting genomic landscapes of differentiation can help discerning among competing models. For example, in the turbots data islands of differentiation show signatures of recent selective sweeps, rather than old divergence resisting secondary introgression. The results have broad implications for the study of population divergence by high-lighting the potential effects of unmodeleld changes in Ne on demographic inference. Tested models should aim at representing realistic divergence scenarios for the target taxa, and extreme caution should always be exercised when interpreting results of demographic modelling.


2021 ◽  
Vol 11 ◽  
Author(s):  
Yu-Juan Zhao ◽  
Gen-Shen Yin ◽  
Yue-Zhi Pan ◽  
Bo Tian ◽  
Xun Gong

Himalaya and Hengduan Mountains (HHM) is a biodiversity hotspot, and very rich in endemic species. Previous phylogeographical studies proposed different hypotheses (vicariance and climate-driven speciation) in explaining diversification and the observed pattern of extant biodiversity, but it is likely that taxa are forming in this area in species-specific ways. Here, we reexplored the phylogenetic relationship and tested the corresponding hypotheses within Paeonia subsect. Delavayanae composed of one widespread species (Paeonia delavayi) and the other geographically confined species (Paeonia ludlowii). We gathered genetic variation data at three chloroplast DNA fragments and one nuclear gene from 335 individuals of 34 populations sampled from HHM. We performed a combination of population genetic summary statistics, isolation-with-migration divergence models, isolation by environment, and demographic history analyses. We found evidence for the current taxonomic treatment that P. ludlowii and P. delavayi are two different species with significant genetic differentiation. The significant isolation by environment was revealed within all sampled populations but genetic distances only explained by geographical distances within P. delavayi populations. The results of population divergence models and demographic history analyses indicated a progenitor–derivative relationship and the Late Quaternary divergence without gene flow between them. The coalescence of all sampled cpDNA haplotypes could date to the Late Miocene, and P. delavayi populations probably underwent a severe bottleneck in population size during the last glacial period. Genetic variation in Paeonia subsect. Delavayanae is associated with geographical and environmental distances. These findings point to the importance of geological and climatic changes as causes of the speciation event and lineage diversification within Paeonia subsect. Delavayanae.


Author(s):  
Peiwen Li ◽  
Peter van Coeverden de Groot ◽  
Rute Clemente-Carvalho ◽  
Stephen C. Lougheed

Contemporary intraspecific patterns of genetic variation reflect the historical effects of population subdivision/expansion and forces like drift, gene flow and selection. We investigated the population structure of anadromous Arctic char in the Lower Northwest Passage (LNWP), Nunavut, using 3,074 genome-wide single nucleotide polymorphisms markers (SNPs). Overall, the genetic differentiation was weak to moderate among 18 sampling locales (global F<sub>ST</sub>=0.037). Populations were structured hierarchically, with a deeper genetic division between King William Island (global F<sub>ST</sub>=0.018) and mainland populations ~ 200 km away to the south (global F<sub>ST</sub>=0.018), and some evidence of genetic subgroups within the former. These findings suggest a role for char migratory behaviour in shaping contemporary genetic population structure, with demographic modelling favouring an isolation with migration over a strict isolation scenario. Twenty-two SNPs were identified as potentially under divergent selection with putative functions including neurotransmission and bone development and growth during late embryogenesis. Our study is the first survey of Arctic char in the LNWP using genomics, and provides baseline data for the development of a sustainable fishery within this region.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Megan Phifer-Rixey ◽  
Bettina Harr ◽  
Jody Hey

Abstract Background The three main subspecies of house mice, Mus musculus castaneus, Mus musculus domesticus, and Mus musculus musculus, are estimated to have diverged ~ 350-500KYA. Resolution of the details of their evolutionary history is complicated by their relatively recent divergence, ongoing gene flow among the subspecies, and complex demographic histories. Previous studies have been limited to some extent by the number of loci surveyed and/or by the scope of the method used. Here, we apply a method (IMa3) that provides an estimate of a population phylogeny while allowing for complex histories of gene exchange. Results Results strongly support a topology with M. m. domesticus as sister to M. m. castaneus and M. m. musculus. In addition, we find evidence of gene flow between all pairs of subspecies, but that gene flow is most restricted from M. m. musculus into M. m. domesticus. Estimates of other key parameters are dependent on assumptions regarding generation time and mutation rate in house mice. Nevertheless, our results support previous findings that the effective population size, Ne, of M. m. castaneus is larger than that of the other two subspecies, that the three subspecies began diverging ~ 130 - 420KYA, and that the time between divergence events was short. Conclusions Joint demographic and phylogenetic analyses of genomic data provide a clearer picture of the history of divergence in house mice.


Author(s):  
Zhanpeng Wang ◽  
Jiaping Wang ◽  
Michael Kourakos ◽  
Nhung Hoang ◽  
Hyong Hark Lee ◽  
...  

AbstractPopulation genetics relies heavily on simulated data for validation, inference, and intuition. In particular, since real data is always limited, simulated data is crucial for training machine learning methods. Simulation software can accurately model evolutionary processes, but requires many hand-selected input parameters. As a result, simulated data often fails to mirror the properties of real genetic data, which limits the scope of methods that rely on it. In this work, we develop a novel approach to estimating parameters in population genetic models that automatically adapts to data from any population. Our method is based on a generative adversarial network that gradually learns to generate realistic synthetic data. We demonstrate that our method is able to recover input parameters in a simulated isolation-with-migration model. We then apply our method to human data from the 1000 Genomes Project, and show that we can accurately recapitulate the features of real data.


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