Natural selection and climate change: temperature-linked spatial and temporal trends in gene frequency in Fagus sylvatica

Rapid increases in global temperature are likely to impose strong directional selection on many plant populations, which must therefore adapt if they are to survive. Within populations, microgeographic genetic differentiation of individuals with respect to climate suggests that some populations may adapt to changing temperatures in the short-term through rapid changes in gene frequency. We used a genome scan to identify temperature-related adaptive differentiation of individuals of the tree species Fagus sylvatica. By combining molecular marker and dendrochronological data we assessed spatial and temporal variation in gene frequency at the locus identified as being under selection. We show that gene frequency at this locus varies predictably with temperature. The probability of the presence of the dominant marker allele shows a declining trend over the latter half of the 20th century, in parallel with rising temperatures in the region. Our results show that F. sylvatica populations may show some capacity for an in situ adaptive response to climate change. However as reported ongoing distributional changes demonstrate, this response is not enough to allow all populations of this species to persist in all of their current locations.     

Beyond MHC: signals of elevated selection pressure on Atlantic salmon (Salmo salar) immune‐relevant loci

Using Atlantic salmon (Salmo salar) as a model system, we investigated whether 18 microsatellites tightly linked to immune‐relevant genes have experienced different selection pressures than 76 loci with no obvious association with immune function. Immune‐relevant loci were identified as outliers by two outlier tests significantly more often than nonimmune linked loci (22% vs. 1.6%). In addition, the allele frequencies of immune relevant markers were more often correlated with latitude and temperature. Combined, these results support the hypothesis that immune‐relevant loci more frequently exhibit footprints of selection than other loci. They also indicate that the correlation between immune‐relevant loci and latitude may be due to temperature‐induced differences in pathogen‐driven selection or some other environmental factor correlated with latitude.     

Evidence for selection at cytokine loci in a natural population of field voles (Microtus agrestis)

Individuals in natural populations are frequently exposed to a wide range of pathogens. Given the diverse profile of gene products involved in responses to different types of pathogen, this potentially results in complex pathogen-specific selection pressures acting on a broad spectrum of immune system genes in wild animals. Thus far, studies into the evolution of immune genes in natural populations have focused almost exclusively on the Major Histocompatibility Complex (MHC). However, the MHC represents only a fraction of the immune system and there is a need to broaden research in wild species to include other immune genes. Here, we examine the evidence for natural selection in a range of non-MHC genes in a natural population of field voles (Microtus agrestis). We concentrate primarily on genes encoding cytokines, signalling molecules critical in eliciting and mediating immune responses and identify signatures of natural selection acting on several of these genes. In particular, genetic diversity within Interleukin 1 beta and Interleukin 2 appears to have been maintained through balancing selection. Taken together with previous findings that polymorphism within these genes is associated with variation in resistance to multiple pathogens, this suggests that pathogen-mediated selection may be an important force driving genetic diversity at cytokine loci in voles and other natural populations. These results also suggest that, along with the MHC, preservation of genetic variation within cytokine genes should be a priority for the conservation genetics of threatened wildlife populations.     

Evolutionary and ecological genomics of non-model plants

Dissecting evolutionary dynamics of ecologically important traits is a long-term challenge for biologists.Attempts to understand natural variation and molecular mechanisms have motivated a move from laboratory model systems to non-model systems in diverse natural environments.Next generation sequencing methods,along with an expansion of genomic resources and tools,have fostered new links between diverse disciplines,including molecular biology,evolution,ecology,and genomics.Great progress has been made in a few non-model wild plants,such as Arabidopsis relatives,monkey flowers,and wild sunflowers.Until recently,the lack of comprehensive genomic information has limited evolutionary and ecological studies to larger QTL (quantitative trait locus) regions rather than single gene resolution,and has hindered recognition of general patterns of natural variation and local adaptation.Further efforts in accumulating genomic data and developing bioinformatic and biostatistical tools are now poised to move this field forward.Integrative national and international collaborations and research communities are needed to facilitate development in the field of evolutionary and ecological genomics.     

Population‐genomic approach reveals adaptive floral divergence in discrete populations of a hawk moth‐pollinated violet

Local adaptation to contrasting biotic or abiotic environments is an important evolutionary step that presumably precedes floral diversification at the species level, yet few studies have demonstrated the adaptive nature of intraspecific floral divergence in wild plant populations. We combine a population‐genomic approach with phenotypic information on floral traits to examine whether the differentiation in metric floral traits exhibited by 14 populations of the southern Spanish hawk moth‐pollinated violet Viola cazorlensis reflects adaptive divergence. Screening of many amplified fragment length polymorphism (AFLP) loci using a multiple‐marker‐based neutrality test identified nine outlier loci (2.6% of the total) that departed from neutral expectations and were potentially under selection. Generalized analysis of molecular variance revealed significant relationships between genetic distance and population divergence in three floral traits when genetic distance was based on outlier loci, but not when it was based on neutral ones. Population means of floral traits were closely correlated with population scores on the first principal coordinate axis of the genetic distance matrix using outlier loci, and with the allelic frequencies of four of the outlier loci. Results strongly support the adaptive nature of intraspecific floral divergence exhibited by V. cazorlensis and illustrate the potential of genome scans to identify instances of adaptive divergence when used in combination with phenotypic information.     

AFLPMax: a user-friendly application for computing the optimal number of amplified fragment length polymorphism markers needed in phylogenetic reconstruction

Amplified fragment length polymorphisms (AFLPs) are widely used for phylogenetic inference especially in non-model species. Frequently, trees obtained with other nuclear or mitochondrial markers or with morphological information need additional resolution, increased branch support, or independent data sources (i.e. unlinked loci). In such cases, the use of AFLPs is a quick and cheap option. Computer simulation has shown that dominant AFLP markers lead to less accurate tree topologies than bi-allelic codominant markers such as SNPs, but this difference becomes negligible for shallow trees when using AFLP data sets that include a sufficiently large number of characters. Thus, determining how many AFLP characters are required to recover a given phylogeny is a key issue regarding the appropriateness of AFLPs for phylogenetic reconstruction. Here, we present a user-friendly, java-based graphical interface, AFLPMax, which executes an automatic pipeline of different programs providing the user with the optimal number of AFLP characters needed to recover a given phylogeny with high accuracy and support. Executables for Windows, linux and MacOS X operating systems, source code and user manual are available from: http://webs.uvigo.es/acraaj/AFLPMax.htm.     

Simulated climate change provokes rapid genetic change in the Mediterranean shrub Fumana thymifolia

Rapid climate change will impose strong directional selection pressures on natural plant populations. Climate-linked genetic variation in natural populations indicates that an evolutionary response is possible. We investigated such a response by comparing individuals subjected to elevated drought and warming treatments with individuals establishing in an unmanipulated climate within the same population. We report that reduction in seedling establishment in response to climate manipulations is nonrandom and results from the selection pressure imposed by artificially warmed and droughted conditions. When compared against control samples, high single-locus genetic divergence occurred in drought and warming treatment samples, with genetic differentiation up to 37 times higher than background (mean neutral locus) genetic differentiation. These loci violate assumptions of selective neutrality, indicating the signature of natural selection by drought. Our results demonstrate that rapid evolution in response to climate change may be widespread in natural populations, based on genetic variation already present within the population.     

Conditional neutrality at two adjacent NBS-LRR disease resistance loci in natural populations of Arabidopsis lyrata

We examined patterns of nucleotide diversity at a genomic region containing two linked candidate disease resistance (NBS-LRR) genes in seven populations of the outcrossing plant Arabidopsis lyrata. In comparison with two adjacent control genes and neutral reference genes across the genome, the NBS-LRR genes exhibited elevated nonsynonymous variation and a large number of major-effect polymorphisms causing early stop codons and/or frameshift mutations. In contrast, analysis of synonymous diversity provided no evidence that the region was subject to long-term balancing selection or recent selective sweeps in any of the seven populations surveyed. Also in contrast with earlier surveys of one of these R genes, there was no evidence that the resistance genes or the major-effect mutations were subject to elevated differentiation between populations. We suggest that conditional neutrality in the absence of the corresponding pathogen, rather than long-term balancing selection or local adaptation, may in some circumstances be a significant cause of elevated functional polymorphism at R genes. In contrast with the R genes, analysis of diversity and differentiation at the flanking FERONIA locus showed high population divergence, suggesting local adaptation on this locus controlling male-female signalling during fertilization.     

Retracted: MHC diversity and differential exposure to pathogens in kestrels (Aves: Falconidae)

Pathogen diversity is thought to drive major histocompatibility complex (MHC) polymorphism given that host’s immune repertories are dependent on antigen recognition capabilities. Here, we surveyed an extensive community of pathogens (n = 35 taxa) and MHC diversity in mainland versus island subspecies of the Eurasian kestrel Falco tinnunculus and in a sympatric mainland population of the phylogenetically related lesser kestrel Falco naumanni. Insular subspecies are commonly exposed to impoverished pathogen communities whilst different species’ ecologies and contrasting life‐history traits may lead to different levels of pathogen exposure. Although specific host traits may explain differential particular infections, overall pathogen diversity, richness and prevalence were higher in the truly cosmopolitan, euriphagous and long‐distance disperser Eurasian kestrel than in the estenophagous, steppe‐specialist, philopatric but long‐distance migratory lesser kestrel. Accordingly, the continental population of Eurasian kestrels displayed a higher number (64 vs. 49) as well as more divergent alleles at both MHC class I and class II loci. Detailed analyses of amino acid diversity revealed that significant differences between both species were exclusive to those functionally important codons comprising the antigen binding sites. The lowest pathogen burdens and the smallest but still quite divergent set of MHC alleles (n = 16) were found in island Eurasian kestrels, where the rates of allele fixation at MHC loci seem to have occurred faster than at neutral markers. The results presented in this study would therefore support the role of pathogen diversity and abundance in shaping patterns of genetic variation at evolutionary relevant MHC genes.