scholarly journals A map of climate change-driven natural selection in Arabidopsis thaliana

2018 ◽  
Author(s):  
Moises Exposito-Alonso ◽  
Hernán A. Burbano ◽  
Oliver Bossdorf ◽  
Rasmus Nielsen ◽  
Detlef Weigel ◽  
...  

Through the lens of evolution, climate change is an agent of natural selection that forces populations to change and adapt, or face extinction. Current assessments of the risk of biodiversity associated with climate change1, however, do not typically take into account the genetic makeup of populations and how natural selection impacts it2. We made use of the extensive genome information in Arabidopsis thaliana and measured how rainfall-manipulation affected the fitness of 517 natural lines grown in Spain and Germany. This allowed us to directly infer selection along the genome3. Natural selection was particularly strong in the hot-dry Spanish location, killing 63% of lines and significantly changing the frequency of ~5% of all genome-wide variants. A significant portion of this climate-driven natural selection over variants was predictable from signatures of local adaptation (R2=29-52%), as genetic variants found in geographic areas with climates more similar to the experimental sites were positively selected. Field-validated predictions across the species range indicated that Mediterranean and Western Siberian populations — at the edges of the species’ environmental limits — currently experience the strongest climate-driven selection. With more frequent droughts and rising temperatures in Europe4, we forecast an increase in directional natural selection moving northwards from the southern end, and putting many native A. thaliana populations at evolutionary risk.

2017 ◽  
Author(s):  
Moises Exposito-Alonso ◽  
François Vasseur ◽  
Wei Ding ◽  
George Wang ◽  
Hernán A. Burbano ◽  
...  

Because earth is currently experiencing unprecedented climate change, it is important to predict how species will respond to it. However, geographically-explicit predictive studies frequently ignore that species are comprised of genetically diverse individuals that can vary in their degree of adaptation to extreme local environments; properties that will determine the species’ ability to withstand climate change. Because an increase in extreme drought events is expected to challenge plant communities with global warming, we carried out a greenhouse experiment to investigate which genetic variants predict surviving an extreme drought event and how those variants are distributed across Eurasian Arabidopsis thaliana individuals. Genetic variants conferring higher drought survival showed signatures of polygenic adaptation, and were more frequently found in Mediterranean and Scandinavian regions. Using geoenvironmental models, we predicted that Central European populations might lag behind in adaptation by the end of the 21st century. Further analyses showed that a population decline could nevertheless be compensated by natural selection acting efficiently over standing variation or by migration of adapted individuals from populations at the margins of the species’ distribution. These findings highlight the importance of within-species genetic heterogeneity in facilitating an evolutionary response to a changing climate.One-sentence summary“Future genetic changes in A. thaliana populations can be forecast by combining climate change models with genomic predictions based on experimental phenotypic data.”


2014 ◽  
Vol 17 (11) ◽  
pp. 1351-1364 ◽  
Author(s):  
Fernando Valladares ◽  
Silvia Matesanz ◽  
François Guilhaumon ◽  
Miguel B. Araújo ◽  
Luis Balaguer ◽  
...  

2018 ◽  
Author(s):  
Yann XC Bourgeois ◽  
Joris AM Bertrand ◽  
Boris Delahaie ◽  
Hélène Holota ◽  
Christophe Thébaud ◽  
...  

AbstractRecently diverged taxa showing marked phenotypic and ecological diversity are optimal systems to test the relative importance of two major evolutionary mechanisms, adaptation to local ecological conditions by natural selection, or mechanisms of reproductive isolation such as assortative mating mediated by sexually selected mating signals or post-zygotic incompatibilities. Whereas local adaptation is expected to affect many loci throughout the genome, traits acting as mating signals are expected to be located on sex chromosomes and have a simple genetic basis. We used genome-wide markers to test these predictions in Reunion Island’s gray-white eye (Zosterops borbonicus), which has recently diversified into five distinct plumage forms. Two of them correspond to a polymorphic highland population that is separated by a steep ecological gradient from three distinct lowland forms that show narrow contact zones in plumage color traits, yet no association with environmental variables. An analysis of population structure using genome-wide SNP loci revealed two major clades corresponding to highland and lowland forms, respectively, with the latter separated further into three independent lineages corresponding to plumage forms. Coalescent tests of alternative demographic scenarios provided support for divergence of highland and lowland lineages with an intensification of gene flow in the last 60,000 years. Landscapes of genomic variation revealed that signatures of selection associated with elevation are found at multiple regions across the genome, whereas most loci associated with the lowland forms are located on the Z sex chromosome. A gene ontology analysis identified TYRP1, a Z-linked color gene, as a likely candidate locus underlying color variation among lowland forms. Our results are consistent with the role of natural selection in driving the divergence of locally adapted highland populations, and the role of sexual selection in differentiating lowland forms through reproductive isolation mechanisms, showing that both modes of lineage divergence can take place at very small geographic scales in birds.


Author(s):  
Moritz A. Ehrlich ◽  
Dominique N. Wagner ◽  
Marjorie F. Oleksiak ◽  
Douglas L. Crawford

AbstractEvolution by natural selection may be effective enough to allow for recurrent, rapid adaptation to distinct niche environments within a well-mixed population. For this to occur, selection must act on standing genetic variation such that mortality i.e. genetic load, is minimized while polymorphism is maintained. Selection on multiple, redundant loci of small effect provides a potentially inexpensive solution. Yet, demonstrating adaptation via redundant, polygenic selection in the wild remains extremely challenging because low per-locus effect sizes and high genetic redundancy severely reduce statistical power. One approach to facilitate identification of loci underlying polygenic selection is to harness natural replicate populations experiencing similar selection pressures that harbor high within-, yet negligible among-population genetic variation. Such populations can be found among the teleost Fundulus heteroclitus. F. heteroclitus inhabits salt marsh estuaries that are characterized by high environmental heterogeneity e.g. tidal ponds, creeks, coastal basins. Here, we sample four of these heterogeneous niches (one coastal basin and three replicate tidal ponds) at two time points from among a single, panmictic F. heteroclitus population. We identify 10,861 single nucleotide polymorphisms using a genotyping-by-sequencing approach and quantify temporal allele frequency change within, as well as spatial divergence among subpopulations residing in these niches. We find a significantly elevated number of concordant allele frequency changes among all subpopulations, suggesting ecosystem-wide adaptation to a common selection pressure. Remarkably, we also find an unexpected number of temporal allele frequency changes that generate fine-scale divergence among subpopulations, suggestive of local adaptation to distinct niche environments. Both patterns are characterized by a lack of large-effect loci yet an elevated total number of significant loci. Adaptation via redundant, polygenic selection offers a likely explanation for these patterns as well as a potential mechanism for polymorphism maintenance in the F. heteroclitus system.Author SummaryEvolution by adaptation to local environmental conditions may occur more rapidly than previously thought. Recent studies show that natural selection is extremely effective when acting on, not one, but multiple genetic variants that are already present in a population. Here, we show that polygenic selection can lead to adaptation within a single generation by studying a wild, well-mixed population of mud minnows inhabiting environmentally distinct locations or niches (i.e. tidal ponds and coastal basins). We monitor allele proportions at over 10,000 genetic variants over time within a single generation and find a significant number to be changing substantially in every niche, suggestive of natural selection. We further demonstrate this genetic change to be non-random, generating mild, yet significant divergence between residents inhabiting distinct niches, indicative of local adaptation. We corroborate a previous study which discovered similar genetic divergence among niches during a different year, suggesting that local adaptation via natural selection occurs every generation. We show polygenic selection on standing genetic variation to be an effective and evolutionarily inexpensive mechanism, allowing organisms to rapidly adapt to their environments even at extremely short time scales. Our study provides valuable insights into the rate of evolution and the ability of organisms to respond to environmental change.


2019 ◽  
Author(s):  
James S. Borrell ◽  
Jasmin Zohren ◽  
Richard A. Nichols ◽  
Richard J. A. Buggs

AbstractWhen populations of a rare species are small, isolated and declining under climate change, some populations may become locally maladapted. Detecting this maladaptation may allow effective rapid conservation interventions, even if based on incomplete knowledge. Population maladaptation may be estimated by finding genome-environment associations (GEA) between allele frequencies and environmental variables across a local species range, and identifying populations whose allele frequencies do not fit with these trends. We can then design assisted gene flow strategies for maladapted populations, to adjust their allele frequencies, entailing lower levels of intervention than with undirected conservation action. Here, we investigate this strategy in Scottish populations of the montane plant dwarf birch (Betula nana). In genome-wide single nucleotide polymorphism (SNP) data we found 267 significant associations between SNP loci and environmental variables. We ranked populations by maladaptation estimated using allele frequency deviation from the general trends at these loci; this gave a different prioritization for conservation action than the Shapely Index, which seeks to preserve rare neutral variation. Populations estimated to be maladapted in their allele frequencies at loci associated with annual mean temperature were found to have reduced catkin production. Using an environmental niche modelling (ENM) approach, we found annual mean temperature (35%), and mean diurnal range (15%), to be important predictors of the dwarf birch distribution. Intriguingly, there was a significant correlation between the number of loci associated with each environmental variable in the GEA, and the importance of that variable in the ENM. Together, these results suggest that the same environmental variables determine both adaptive genetic variation and species range in Scottish dwarf birch. We suggest an assisted gene flow strategy that aims to maximize the local adaptation of dwarf birch populations under climate change by matching allele frequencies to current and future environments.


2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Valentina Tsartsianidou ◽  
Enrique Sánchez-Molano ◽  
Vanessa Varvara Kapsona ◽  
Zoitsa Basdagianni ◽  
Dimitrios Chatziplis ◽  
...  

Abstract Background The management of farm animal genetic resources and the adaptation of animals to climate change will probably have major effects on the long-term sustainability of the livestock sector. Genomic data harbour useful relevant information that needs to be harnessed for effectively managing genetic resources. In this paper, we report the genome characterization of the highly productive Mediterranean Chios dairy sheep and focus on genetic diversity measures related with local adaptation and selection and the genetic architecture of animal resilience to weather fluctuations as a novel adaptative trait linked to climate change. Results We detected runs of homozygosity (ROH) and heterozygosity (ROHet) that revealed multiple highly homozygous and heterozygous hotspots across the Chios sheep genome. A particularly highly homozygous region was identified on chromosome 13 as a candidate of directional genetic selection associated with milk traits, which includes annotated genes that were previously shown to be linked to local adaptation to harsh environmental conditions. Favourable heterozygosity related with a potentially protective role against livestock diseases and enhanced overall fitness was revealed in heterozygous-rich regions on sheep chromosomes 3, 10, 13 and 19. Furthermore, genomic analyses were conducted on sheep resilience phenotypes that display changes in milk production in response to weather variation. Sheep resilience to heat stress was a significantly heritable trait (h2 = 0.26) and genetically antagonistic to milk production. Genome-wide association and regional heritability mapping analyses revealed novel genomic markers and regions on chromosome 5 that were significantly associated with sheep resilience to climate change. Subsequently, an annotation analysis detected a set of genes on chromosome 5 that were associated with olfactory receptor complexes that could participate in heat stress mitigation through changes in respiration rate and respiratory evaporation. Other genes were grouped in previously reported biological processes relevant to livestock heat dissipation, including stress and immune response. Conclusions Our results may contribute to the optimal management of sheep genetic resources and inform modern selective breeding programmes that aim at mitigating future environmental challenges towards sustainable farming, while better balancing animal adaptation and productivity. Our results are directly relevant to the studied breed and the respective environmental conditions; however, the methodology may be extended to other livestock species of interest.


2019 ◽  
Vol 25 (9) ◽  
pp. 3151-3162 ◽  
Author(s):  
Deanne Cummins ◽  
W. Jason Kennington ◽  
Tabitha Rudin‐Bitterli ◽  
Nicola J. Mitchell

2019 ◽  
Author(s):  
Niek Verweij ◽  
Jan-Walter Benjamins ◽  
Michael P. Morley ◽  
Yordi van de Vegte ◽  
Alexander Teumer ◽  
...  

AbstractSince its original description in 1893 by Willem van Einthoven, the electrocardiogram (ECG) has been instrumental in the recognition of a wide array of cardiac disorders1,2. Although many electrocardiographic patterns have been well described, the underlying biology is incompletely understood. Genetic associations of particular features of the ECG have been identified by genome wide studies. This snapshot approach only provides fragmented information of the underlying genetic makeup of the ECG. Here, we follow the effecs of individual genetic variants through the complete cardiac cycle the ECG represents. We found that genetic variants have unique morphological signatures not identfied by previous analyses. By exploiting identified abberations of these morphological signatures, we show that novel genetic loci can be identified for cardiac disorders. Our results demonstrate how an integrated approach to analyse high-dimensional data can further our understanding of the ECG, adding to the earlier undertaken snapshot analyses of individual ECG components. We anticipate that our comprehensive resource will fuel in silico explorations of the biological mechanisms underlying cardiac traits and disorders represented on the ECG. For example, known disease causing variants can be used to identify novel morphological ECG signatures, which in turn can be utilized to prioritize genetic variants or genes for functional validation. Furthermore, the ECG plays a major role in the development of drugs, a genetic assessment of the entire ECG can drive such developments.


2021 ◽  
Author(s):  
Rik Kooke ◽  
Willem Kruijer ◽  
Henriette D.L.M. van Eekelen ◽  
Frank F.M. Becker ◽  
Ron Wehrens ◽  
...  

AbstractThe biosynthesis, structure and accumulation of secondary metabolites in plants are largely controlled by genetic factors, which can vary substantially among genotypes within a species. Here we studied a global population of Arabidopsis thaliana accessions for qualitative and quantitative variation in volatile and non-volatile secondary metabolites using essentially untargeted metabolomics. Genome-wide association (GWA) mapping revealed that metabolic variation mainly traces back to genetic variation in dedicated biosynthesis genes. Effect sizes of genetic variants, estimated by a Bayesian procedure, indicate that most of the genetic variation in the accumulation of secondary metabolites is explained by large-effect genes and defined by multiple polymorphisms. The various genetic variants resulted from independent mutation events and combined into distinctive haplotypes, which are representative for specific geographical regions. A strong relationship between the effect-size of regulatory loci, their allele frequencies and fixation index indicates that selection forces discriminate between haplotypes, resulting in different phytochemical profiles. Finally, we demonstrate that haplotype frequencies deviate from neutral theory predictions, suggesting that metabolic profiles are shaped by local adaptation and co-evolution of independent loci.


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