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648 results for “Local adaptation”
From common gardens to candidate genes: Exploring local adaptation to climate in red spruce
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Data from: Seascape genomics of red abalone: Limited range-wide population structure and evidence for local adaptation
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Potential local adaptation in populations of invasive reed canary grass (Phalaris arundinacea) across an urbanization gradient
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Local Adaptation to Freezing in High and Low Latitude Populations of L. tridentata (Sevilleta National Wildlife Refuge, New Mexico; Higuerillas, Mexico) and L. divaricata (Bajada del Diablo and Chamical, Argentina) (2006-2009))
If freezing limits establishment of warm desert shrubs at high latitudes, shrubland distributions may be altered as a result of rising global temperatures. However, variation in plant physiology and morphology can be observed across climate gradients and may be acted on by selection to produce adaptation to local climate conditions, thereby ameliorating low temperature stress. Freezing damage in evergreens is closely linked to vessel size distribution because larger xylem conduits are more likely to become air-filled during freezing. In addition, plastic variation, rather than genetic, may be responsible for differences in freezing tolerance among populations. In order to determine if local adaptation to freezing is present in two species of the genus Larrea, L. tridentata and L. divaricata, we investigated xylem vessel size distributions in field grown L. tridentata adults and saplings grown in a common garden from high latitude (Sevilleta National Wildlife Refuge) and low latitude (Higuerillas, Mexico) sites in the Chihuahuan Desert in North America. High latitude (Bajada del Diablo, Argentina) and low latitude (Chamical, Argentina) populations of Larrea divaricata were selected for investigation from the Monte Desert in South America.
Data from: Foundation species promote local adaptation and fine-scale distribution of herbaceous plants
<p><span><span><span>1) Interactions among neighbors can alter demography and traits of commingled species via adaptation or plasticity in phenotypic expression and understanding these two mechanisms in diverse communities is important for determining the ecological and evolutionary consequences of plant–plant interactions. </span></span></span></p> <p><span><span><span>2) We reciprocally transplanted perennial species (<i>Arenaria armerina</i> and <i>Festuca indigesta</i>) among patches of two foundation shrub species and open ground to assess whether origin microsite (defined as the spatially distinct abiotic and biotic conditions associated with the two shrubs and open ground) determines germination, recruitment and growth that, in turn, promotes fine-scale distribution of species among microsites. In addition, we tested the effect of origin microsite on traits, competitive ability, drought tolerance and outlier loci to assess whether origin microsite conditions drove differences in traits, strategies and adaptive loci.</span></span></span></p> <p><span><span><span>3) Germination was consistently greater for seeds planted back into their origin microsite relative to seeds sourced from foreign microsites, although this effect was weakened for recruitment. Plant growth was best in open sites regardless of origin microsite. In the greenhouse, <i>A.</i> <i>armerina</i> had conserved traits within origin microsite but distinct trait values among microsite conditions, specifically for plants originating from the most productive microsite (e.g. sufficient light and high nutrients and water availability). <i>Festuca indigesta</i> had conserved trait responses among microsites while within microsite, individuals had significant trait plasticity to different environmental conditions. The combined field and greenhouse results suggest that fine-scale distributions are supported by local adaptation among microsites of <i>A.</i> <i>armerina </i>and phenotypic plasticity of <i>F.</i> <i>indigesta</i>.</span></span></span></p> <p><span><span><span><i>Synthesis </i>Adaptation or plasticity in phenotypic expression have different implications for demographic rate and persistence of species in changing environments. Local adaptation to neighbors suggests that reductions in foundation species diversity could concomitantly lead to reduced genetic diversity of commingled species while a plastic response indicates a more robust and broad response to changing climatic and biotic conditions.</span></span></span></p>
Data from: The effectiveness of pseudomagic traits in promoting divergence and enhancing local adaptation
<p>The first file contains the code necessary to generate figures in the style of Fig 1 of the associated manuscript. These figures show the divergence between both ecological traits and mating traits by the strength of mating preference. Different panels correspond to different rates of recombination between these loci that control these types of traits. Files S1 and S2 are Mathematica versions of the corresponding files in the Supplementary Information of the paper.</p>
Data from: Does local adaptation along a latitudinal cline shape plastic responses to combined thermal and nutritional stress?
<p>Thermal and nutritional stress are commonly experienced by animals. This will become increasingly so with climate change. Whether populations can plastically respond to such changes will determine their survival. Plasticity can vary among populations depending on the extent of environmental heterogeneity. However, theory conflicts as to whether environmental heterogeneity should increase or decrease plasticity. Using three locally-adapted populations of Drosophila melanogaster sampled from a latitudinal gradient, we investigated whether plastic responses to combinations of nutrition and temperature increase or decrease with latitude for four traits: egg-adult viability, egg-adult development time, and two body size traits. Employing nutritional geometry, we reared larvae on 25 diets varying in protein and carbohydrate content at two temperatures: 18ºC and 25ºC. Plasticity varied among traits and across the three populations. Viability was highly canalized in all three populations. The tropical population showed the least plasticity for development time, the sub-tropical showed the highest plasticity for wing area, and the temperate population showed the highest plasticity for femur length. We found no evidence of latitudinal plasticity gradients in either direction. Our data highlight that differences in thermal variation and resource predictability experienced by populations along a latitudinal cline are not sufficient to predict their plasticity. </p>
Data from: Contrasting patterns of local adaptation along climatic gradients between a sympatric parasitic and autotrophic tree species
<p>Sympatric tree species are subject to similar climatic drivers, posing a question as to whether they display comparable adaptive responses. However, no study has explicitly examined local adaptation of co-occurring parasitic and autotrophic plant species to the abiotic environment. Here we test the hypotheses that a generalist parasitic tree would display a weaker signal of selection and genomic variation would associate with fewer climatic variables (particularly precipitation) but have similar spatial patterns to a sympatric autotrophic tree species. To test these hypotheses, we collected samples from 17 sites across the range of two tree species, the hemi-parasite <i>Nuytsia floribunda</i> (<i>n</i>=264) and sympatric autotroph<i> Melaleuca rhaphiophylla </i>(<i>n</i>=272). We obtained 5,531 high-quality genome-wide single nucleotide polymorphisms (SNPs) for <i>M. rhaphiophylla</i> and 6,727 SNPs for <i>N. floribunda</i> using DArTseq™ genome scan technology. Population differentiation and environmental association approaches were used to identify signals of selection. Generalized dissimilarly modelling was used to detect climatic and spatial patterns of local adaptation across climatic gradients. Overall, 322 SNPs were identified as putatively adaptive for the autotroph, while only 57 SNPs were identified for the parasitic species. We found genomic variation to associate with different sets of bioclimatic variables for each species, with precipitation relatively less important for the parasite. Spatial patterns of predicted adaptive variability were different and indicate that co-occurring species with disparate life history traits may not respond equally to selective pressures (i.e. temperature and precipitation). Together, these findings provide insight into local adaptation of sympatric parasitic and autotrophic tree species to abiotic environments.</p>
Data from: Post‐glacial establishment of locally adapted fish populations over a steep salinity gradient
<p>Studies of colonization of new habitats that appear from rapidly changing environments are interesting and highly relevant to our understanding of divergence and speciation. Here, we analyse phenotypic and genetic variation involved in the successful establishment of a marine fish (sand goby, Pomatoschistus minutus) over a steep salinity drop from 35 PSU in the North Sea (NE Atlantic) to two PSU in the inner parts of the post-glacial Baltic Sea. We first show that populations are adapted to local salinity in a key reproductive trait, the proportion of motile sperm. Thereafter, we show that genome variation at 22,190 single nucleotide polymorphisms (SNPs) shows strong differentiation among populations along the gradient. Sequences containing outlier SNPs and transcriptome sequences, mapped to a draft genome, reveal associations with genes with relevant functions for adaptation in this environment but without overall evidence of functional enrichment. The many contigs involved suggest polygenic differentiation. We trace the origin of this differentiation using demographic modelling and find the most likely scenario is that at least part of the genetic differentiation is older than the Baltic Sea and is a result of isolation of two lineages prior to the current contact over the North Sea–Baltic Sea transition zone.</p>
Footprints of local adaptation span hundreds of linked genes in the Atlantic silverside genome
The study of local adaptation in the presence of ongoing gene flow is the study of natural selection in action, revealing the functional genetic diversity most relevant to contemporary pressures. In addition to individual genes, genome-wide architecture can itself evolve to enable adaptation. Distributed across a steep thermal gradient along the east coast of North America, Atlantic silversides (Menidia menidia) exhibit an extraordinary degree of local adaptation in a suite of traits, and the capacity for rapid adaptation from standing genetic variation, but we know little about the patterns of genomic variation across the species range that enable this remarkable adaptability. Here we use low-coverage, whole-transcriptome sequencing of Atlantic silversides sampled along an environmental cline to show marked signatures of divergent selection across a gradient of neutral differentiation. Atlantic silversides sampled across 1,371 km of the southern section of its distribution have very low genome-wide differentiation (median FST=0.006 across 1.9 million variants), consistent with historical connectivity and observations of recent migrants. Yet almost 14,000 single nucleotide polymorphisms (SNPs) are nearly fixed (FST>0.95) for alternate alleles. Highly differentiated SNPs cluster into four tight linkage disequilibrium blocks (LD) that span hundreds of genes and several megabases. Variants in these LD blocks are disproportionately non-synonymous and concentrated in genes enriched for multiple functions related to known adaptations in silversides, including variation in lipid storage, metabolic rate, and spawning behavior. Elevated levels of absolute divergence and demographic modeling suggest selection maintaining divergence across these blocks under gene flow. These findings represent an extreme case of heterogeneity in levels of differentiation across the genome, and highlight how gene flow shapes genomic architecture in continuous populations. Locally adapted alleles may be common features of populations distributed along environmental gradients, and will likely be key to conserving variation to enable future responses to environmental change.
Genomic differentiation and local adaptation on a microgeographic scale in a resident songbird
<p>Elucidating forces capable of driving species diversification in the face of gene flow remains a key goal in evolutionary biology. Song sparrows, Melospiza melodia, occur as 25 subspecies in diverse habitats across North America, are among the continent's most widespread vertebrate species, and are exemplary of many highly variable species for which the conservation of locally adapted populations may be critical to their range-wide persistence. We focus here on six morphologically distinct subspecies resident in the San Francisco Bay region, including three salt-marsh endemics and three residents in upland and riparian habitats adjacent to the Bay. We used reduced-representation sequencing to generate 2,773 SNPs to explore genetic differentiation, spatial population structure, and demographic history. Clustering separated individuals from each of the six subspecies, indicating subtle differentiation at microgeographic scales. Evidence of limited gene flow and low nucleotide diversity across all six subspecies further supports a hypothesis of isolation among locally adapted populations. We suggest that natural selection for genotypes adapted to salt marsh environments and changes in demography over the past century have acted in concert to drive the patterns of diversification reported here. Our results offer evidence of microgeographic specialization in a highly polytypic bird species long discussed as a model of sympatric speciation and rapid adaptation, and they support the hypothesis that conserving locally adapted populations may be critical to the range-wide persistence of similarly highly variable species.</p>
Local adaptation from afar: migratory bird populations diverge in the initiation of reproductive timing while wintering in sympatry
<p><span>The initiation of reproduction in many seasonally breeding animals is controlled by photoperiod and tends to be clinal: populations at higher latitudes breed later than those at lower latitudes, often reflecting a higher photoperiodic threshold. Migratory animals presumably time reproduction to match conditions at their breeding grounds at least in part by cues perceived</span> on their wintering grounds<span>. </span>We asked how closely related dark-eyed junco (<i>Junco hyemalis</i>) populations that overwinter in sympatry but breed in allopatry respond to their shared winter environment by comparing early spring indices of readiness to migrate and breed (baseline and elevated testosterone). We measured stable hydrogen isotopes from feathers grown the preceding year and claws grown during winter to estimate breeding and wintering latitudes, respectively. We predicted that if reproductive initiation is adapted to the emergence of resources at their respective breeding destinations, then birds migrating to higher latitudes (slate-colored junco; <i>J. h. hyemalis</i>) should delay breeding as compared to those migrating to lower latitudes (pink-sided junco; <i>J. h. mearnsi</i>) despite a common overwinter environment. We found higher testosterone in pink-sided juncos consistent with earlier reproductive initiation, suggesting local adaptation in reproductive phenology achieved through differential responses to predictive environmental cues.</p>
Social learning by mate-choice copying increases dispersal and reduces local adaptation
<p class="MsoPlainText">1. In heterogeneous environments, dispersal may be hampered not only by direct costs, but also because immigrants may be locally maladapted. While maladaptation affects both sexes, this cost may be modulated in females if they express mate preferences that are either adaptive or maladaptive in the new local population.</p> <p class="MsoPlainText">2. Dispersal costs under local adaptation may be mitigated if it is possible to switch to expressing traits of locally adapted residents. In a sexual selection context, immigrant females may learn to mate with locally favoured males. Mate-choice copying is a type of social learning, where individuals, usually females, update their mating preferences after observing others mate. If it allows immigrant females to switch from maladapted to locally adapted preferences, their dispersal costs are mitigated as mate choice helps them create locally adapted offspring.</p> <p class="MsoPlainText">3. To study if copying can promote the evolution of dispersal, we created an individual-based model to simulate the coevolution of four traits: copying, dispersal, a trait relevant for local adaptation, and female preference. We contrast two scenarios with copying — either unconditional, or conditional such that only dispersers copy — with a control scenario that lacks any copying.</p> <p class="MsoPlainText">4. We show copying to lead to higher dispersal, especially if copying is conditionally expressed. This leads to an increase in gene flow between patches and, consequently, a decrease in local adaptation and trait-preference correlations.</p> <p class="MsoPlainText">5. While our study is phrased with female preference as the learned trait, one may generally expect social learning to mitigate dispersal costs, with consequent feedback effects on the spatial dynamics of adaptation.</p>
Intraspecific genomic variation and local adaptation in a young hybrid species
<p>Hybridization increases genetic variation, hence hybrid species may have greater evolutionary potential once their admixed genomes have stabilized and incompatibilities have been purged. Yet, little is known about how such hybrid lineages evolve at the genomic level following their formation, in particular their adaptive potential. Here we investigate how the Italian sparrow (<i>Passer italiae</i>), a homoploid hybrid species, has evolved and locally adapted to its variable environment. Using restriction site-associated DNA sequencing (RAD-seq) on several populations across the Italian peninsula, we evaluate how genomic constraints and novel genetic variation have influenced population divergence and adaptation. We show that population divergence within this hybrid species has evolved in response to climatic variation, suggesting ongoing local adaptation. As found previously in other non-hybrid species, climatic differences appear to increase population differentiation. We also report strong population divergence in a gene known to affect beak morphology. Most of the strongly divergent loci among Italian sparrow populations do not seem to be differentiated between its parent species, the house and Spanish sparrows. Unlike in the hybrid, population divergence within each of the parental taxa has occurred mostly at loci with high allele frequency difference between the parental species, suggesting that novel combinations of parental alleles in the hybrid have not necessarily enhanced its evolutionary potential. Rather, our study suggests that constraints linked to incompatibilities may have restricted the evolution of this admixed genome, both during and after hybrid species formation.</p>
Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe
Context: Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. Aims: We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. Methods: Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samada and LFMM. Results: Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K=3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. Conclusions: Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability, and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment.
Local adaptation to biotic interactions: a meta-analysis across latitudes
<p>Adaptation to local conditions can increase species' geographic distributions and rates of diversification, but which components of the environment commonly drive local adaptation—particularly the importance of biotic interactions—is unclear. Biotic interactions should drive local adaptation when they impose consistent divergent selection; if this is common we expect transplant experiments to detect more frequent and stronger local adaptation when biotic interactions are left intact. We tested this hypothesis using a meta-analysis of transplant experiments from >125 studies (mostly on plants). Overall, local adaptation was common and biotic interactions affected fitness. Nevertheless, local adaptation was neither more common nor stronger when biotic interactions were left intact, either between experimental treatments within studies (control vs. biotic interactions experimentally manipulated) or between studies that used natural vs. biotically-altered transplant environments. However, the effect of ameliorating negative interactions varied with latitude, suggesting that interactions may promote local adaptation more often in tropical vs. temperate ecosystems, though few tropical studies were available to test this. Our results suggest that biotic interactions often fail to drive local adaptation even though they strongly affect fitness, perhaps because temperate biotic environments are unpredictable at the spatiotemporal scales required for local adaptation.</p>
Data from: Parallel changes in gut microbiome composition and function during colonization, local adaptation and ecological speciation
<p>The processes of local adaptation and ecological speciation are often strongly shaped by biotic interactions such as competition and predation. One of the strongest lines of evidence that biotic interactions drive evolution comes from repeated divergence of lineages in association with repeated changes in the community of interacting species. Yet, relatively little is known about the repeatability of changes in gut microbial communities and their role in adaptation and divergence of host populations in nature. Here we utilize three cases of rapid, parallel adaptation and speciation in freshwater threespine stickleback to test for parallel changes in associated gut microbiomes. We find that features of the gut microbial communities have shifted repeatedly in the same direction in association with parallel divergence and speciation of stickleback hosts. These results suggest that changes to gut microbiomes can occur rapidly and predictably in conjunction with host evolution, and that host-microbe interactions might play an important role in host adaptation and diversification.</p>
Local adaptation across a complex bioclimatic landscape in two montane bumble bee species
<p>Understanding evolutionary responses to variation in temperature and precipitation across species ranges is of fundamental interest given ongoing climate change. The importance of temperature and precipitation for multiple aspects of bumble bee (<i>Bombus</i>) biology, combined with large geographic ranges that expose populations to diverse environmental pressures, make these insects well-suited for studying local adaptation. We analyzed genome-wide sequence data from two widespread bumble bees, <i>Bombus vosnesenskii </i>and <i>Bombus vancouverensis</i>, using multiple Environmental Association Analysis methods to investigate climate adaptation across latitude and altitude. The strongest signatures of selection were observed in <i>B. </i><i>vancouverensis</i>, but despite unique responses between species for most loci, we detected several shared responses. Genes relating to neural and neuromuscular function and ion transport are especially evident with respect to temperature variables, while genes relating to cuticle formation, tracheal and respiratory system development, and homeostasis were associated with precipitation variables. Our data thus suggest that adaptive responses for tolerating abiotic variation are likely to be complex, but that several parallels among species can emerge even for these complex traits and landscapes. Results provide the framework for future work into mechanisms of thermal and desiccation tolerance in bumble bees and a set of genomic targets that might be monitored for future conservation efforts.</p>
Data from: Incorporating herders' knowledge and ecosystem-based adaptation strategies in local decision-making
<p class="CxSpFirst"> 1. Ecosystem-based adaptation (EbA) relies upon the capacity of ecosystems to buffer communities against the adverse impacts of climate change. Maintaining ecosystems that deliver critical services to communities can also provide co-benefits beyond adaptation, such as climate mitigation and protection of biological diversity and livelihoods. EbA has to a limited extent drawn upon indigenous-and local knowledge (ILK) for defining critical services and for implementing EbA in decision-making. This is a paradox given that the primary focus of EbA is to enable communities to adapt to climate change.<br> 2. The purpose of this study was to elucidate EbA strategies that take into account the knowledge of Sámi reindeer herders about pastures in tundra regions. We first examined what constitutes critical services as perceived by Sámi reindeer herders through a synthesis of data and literature. We thereafter used content analysis of 91 land use cases from 2010-2018 to investigate to what extent the herders' knowledge and maps over seasonal pastures and migratory routes are used in local decision-making. Finally, we propose EbA strategies of relevance to Sámi communities and pastoral communities elsewhere.<br> 3. Our analysis revealed that reindeer herders and organizations representing their interests perceived threats from green energy development, tourism, recreation, public road construction and powerlines. These threats included the loss of key habitats and the loss of connectivity for migration between seasonal pastures. Herders' knowledge is incorporated through participatory tools to protect the ecosystems and services crucial for herders, but multiple competing land uses result in incremental loss of pastures regardless. <br> 4. Synthesis and application. Pastoralists need access to diverse resources on seasonal pastures and the ability to move between pastures when snow, ice, rainfall and the timing of critical service supplies changes. Drawing on herders' knowledge to elicit EbA strategies is vital for buffering the adverse effects of climate change. EbA that incorporates indigenous perspectives cannot purely rely on co-benefit approaches. Fundamental trade-offs exist between adaptation needs and other land uses, such as infrastructure, tourism and green energy development</p>
Data from: Local environment, not local adaptation, drives leaf-out phenology in common gardens along an elevational gradient in Acadia National Park, Maine
PREMISE OF THE STUDY: Climate-driven changes in phenology are substantially affecting ecological relationships and ecosystem processes. The role of variation among species has received particular attention; for example, variation among species' phenological responses to climate can disrupt trophic interactions and can influence plant performance. Variation within species in phenological responses to climate, however, has received much less attention, despite its potential role in ecological interactions and local adaptation to climate change. METHODS: We constructed three common gardens across an elevation gradient on Cadillac Mountain in Acadia National Park, Maine to test population-level responses in leaf-out phenology in a reciprocal transplant experiment. The experiment included three native species: low bush blueberry (Vaccinium angustifolium), sheep's laurel (Kalmia angustifolia), and three-toothed cinquefoil (Sibbaldiopsis tridentata). KEY RESULTS: Evidence for local adaptation of phenological response to temperature varied among the species, but was weak for all three. Rather, variation in phenological response to temperature appeared to be driven by local microclimate at each garden site and year-to-year variation in temperature. CONCLUSIONS: Population-level adaptations in leaf-out phenology appear to be relatively unimportant for these species in Acadia National Park, perhaps a reflection of strong genetic mixing across elevations, or weak differences in selection on phenological response to spring temperatures at different elevations. These results concur with other observational data in Acadia and highlight the utility of experimental approaches to understand the importance of annual and local site variation in affecting phenology both among and within plant species.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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