Pervasive selection or is it…? why are FST outliers sometimes so frequent?

It is now common for population geneticists to estimate F_ST for a large number of loci across the genome, before testing for selected loci as being outliers to the F_ST distribution. One surprising result of such F_ST scans is the often high proportion (>1% and sometimes >10%) of outliers detected, and this is often interpreted as evidence for pervasive local adaptation. In this issue of Molecular Ecolog, Fourcade et al. ( 2013 ) observe that a particularly high rate of F_ST outliers has often been found in river organisms, such as fishes or damselflies, despite there being no obvious reason why selection should affect a larger proportion of the genomes of these organisms. Using computer simulations, Fourcade et al. ( 2013 ) show that the strong correlation in co‐ancestry produced in long one‐dimensional landscapes (such as rivers, valleys, peninsulas, oceanic ridges or coastlines) greatly increases the neutral variance in F_ST, especially when the landscape is further reticulated into fractal networks. As a consequence, outlier tests have a high rate of false positives, unless this correlation can be taken into account. Fourcade et al.'s study highlights an extreme case of the general problem, first noticed by Robertson ( 1975a , b ) and Nei & Maruyama ( 1975 ), that correlated co‐ancestry inflates the neutral variance in F_ST when compared to its expectation under an island model of population structure. Similar warnings about the validity of outlier tests have appeared regularly since then but have not been widely cited in the recent genomics literature. We further emphasize that F_ST outliers can arise in many different ways and that outlier tests are not designed for situations where the genetic architecture of local adaptation involves many loci.     

Divergence in coloration and ecological speciation in the Anolis marmoratus species complex

Adaptive divergence in coloration is expected to produce reproductive isolation in species that use colourful signals in mate choice and species recognition. Indeed, many adaptive radiations are characterized by differentiation in colourful signals, suggesting that divergent selection acting on coloration may be an important component of speciation. Populations in the Anolis marmoratus species complex from the Caribbean island of Guadeloupe display striking divergence in the colour and pattern of adult males that occurs over small geographic distances, suggesting strong divergent selection. Here we test the hypothesis that divergence in coloration results in reduced gene flow among populations. We quantify variation in adult male coloration across a habitat gradient between mesic and xeric habitats, use a multilocus coalescent approach to infer historical demographic parameters of divergence, and examine gene flow and population structure using microsatellite variation. We find that colour variation evolved without geographic isolation and in the face of gene flow, consistent with strong divergent selection and that both ecological and sexual selection are implicated. However, we find no significant differentiation at microsatellite loci across populations, suggesting little reproductive isolation and high levels of contemporary gene exchange. Strong divergent selection on loci affecting coloration probably maintains clinal phenotypic variation despite high gene flow at neutral loci, supporting the notion of a porous genome in which adaptive portions of the genome remain fixed whereas neutral portions are homogenized by gene flow and recombination. We discuss the impact of these findings for studies of colour evolution and ecological speciation.     

A road map for molecular ecology

The discipline of molecular ecology has undergone enormous changes since the journal bearing its name was launched approximately two decades ago. The field has seen great strides in analytical methods development, made groundbreaking discoveries and experienced a revolution in genotyping technology. Here, we provide brief perspectives on the main subdisciplines of molecular ecology, describe key questions and goals, discuss common challenges, predict future research directions and suggest research priorities for the next 20 years.     

A heuristic model on the role of plasticity in adaptive evolution: plasticity increases adaptation,population viability and genetic variation

An ongoing new synthesis in evolutionary theory is expanding our view of the sources of heritable variation beyond point mutations of fixed phenotypic effects to include environmentally sensitive changes in gene regulation. This expansion of the paradigm is necessary given ample evidence for a heritable ability to alter gene expression in response to environmental cues. In consequence, single genotypes are often capable of adaptively expressing different phenotypes in different environments, i.e. are adaptively plastic. We present an individual-based heuristic model to compare the adaptive dynamics of populations composed of plastic or non-plastic genotypes under a wide range of scenarios where we modify environmental variation, mutation rate and costs of plasticity. The model shows that adaptive plasticity contributes to the maintenance of genetic variation within populations, reduces bottlenecks when facing rapid environmental changes and confers an overall faster rate of adaptation. In fluctuating environments, plasticity is favoured by selection and maintained in the population. However, if the environment stabilizes and costs of plasticity are high, plasticity is reduced by selection, leading to genetic assimilation, which could result in species diversification. More broadly, our model shows that adaptive plasticity is a common consequence of selection under environmental heterogeneity, and hence a potentially common phenomenon in nature. Thus, taking adaptive plasticity into account substantially extends our view of adaptive evolution.     

Switching between apparently redundant iron-uptake mechanisms benefits bacteria in changeable environments

Bacteria often possess multiple siderophore-based iron uptake systems for scavenging this vital resource from their environment. However, some siderophores seem redundant, because they have limited iron-binding efficiency and are seldom expressed under iron limitation. Here, we investigate the conundrum of why selection does not eliminate this apparent redundancy. We focus on Pseudomonas aeruginosa, a bacterium that can produce two siderophores—the highly efficient but metabolically expensive pyoverdine, and the inefficient but metabolically cheap pyochelin. We found that the bacteria possess molecular mechanisms to phenotypically switch from mainly producing pyoverdine under severe iron limitation to mainly producing pyochelin when iron is only moderately limited. We further show that strains exclusively producing pyochelin grew significantly better than strains exclusively producing pyoverdine under moderate iron limitation, whereas the inverse was seen under severe iron limitation. This suggests that pyochelin is not redundant, but that switching between siderophore strategies might be beneficial to trade off efficiencies versus costs of siderophores. Indeed, simulations parameterized from our data confirmed that strains retaining the capacity to switch between siderophores significantly outcompeted strains defective for one or the other siderophore under fluctuating iron availabilities. Finally, we discuss how siderophore switching can be viewed as a form of collective decision-making, whereby a coordinated shift in behaviour at the group level emerges as a result of positive and negative feedback loops operating among individuals at the local scale.     

Competitive and demographic leverage points of community shifts under climate warming

Accelerating rates of climate change and a paucity of whole-community studies of climate impacts limit our ability to forecast shifts in ecosystem structure and dynamics, particularly because climate change can lead to idiosyncratic responses via both demographic effects and altered species interactions. We used a multispecies model to predict which processes and species'' responses are likely to drive shifts in the composition of a space-limited benthic marine community. Our model was parametrized from experimental manipulations of the community. Model simulations indicated shifts in species dominance patterns as temperatures increase, with projected shifts in composition primarily owing to the temperature dependence of growth, mortality and competition for three critical species. By contrast, warming impacts on two other species (rendering them weaker competitors for space) and recruitment rates of all species were of lesser importance in determining projected community changes. Our analysis reveals the importance of temperature-dependent competitive interactions for predicting effects of changing climate on such communities. Furthermore, by identifying processes and species that could disproportionately leverage shifts in community composition, our results contribute to a mechanistic understanding of climate change impacts, thereby allowing more insightful predictions of future biodiversity patterns.     

土壤有机质转化及CO2释放的温度效应研究进展

土壤有机质转化对温度变化的响应,是气候变暖与全球碳循环关系中的核心问题.掌握土壤有机质对温度变化的响应规律,对准确评价气候变暖背景下,全球土壤有机质的转化至关重要.综述了国内外大量研究成果,对基质成分、基质损耗、测试方法、微生物、水分含量等因素,对土壤有机质转化与温度关系的影响机理与影响规律以及Q10的变化规律进行了探讨.提出稳定有机质与不稳定有机质温度敏感性异同问题,应作为土壤有机质转化与温度关系中的核心问题进行深入研究.同时通过分析,提出室内短期培养是首选测试方法.分析认为微生物生长温度曲线与微生物呼吸之间不存在必然联系,而在过低和过高之间,水分含量是否会影响土壤呼吸,有待进一步试验验证.提出随着城市热岛效应这一环境问题的加剧,研究及评价更大温度区间内的城市土壤有机质对温度变化的响应规律十分重要.     

岩溶区不同植被下土壤水溶解无机碳含量及其稳定碳同位素组成特征

自2010年7月至2011年7月对重庆青木关岩溶区典型植被下的土壤水进行了月动态取样,分析了土壤水溶解无机碳含量(DIC浓度)及其稳定碳同位素组成(δ13CDIC值)的时空变化特征,以揭示岩溶土壤系统碳酸盐岩溶蚀作用及其碳汇效应。研究结果表明:草地和针叶林地土壤水的DIC浓度和δ13CDIC值相对较低,分别为59.12 mg/L和-17.22‰,31.47 mg/L和-16.37‰;而旱地、灌丛地、退耕还林地土壤水具有较高的DIC浓度和δ13CDIC值,分别达153.88 mg/L和-12.2‰,221.82 mg/L和-11.9‰,97.30 mg/L和-11.23‰,其中灌丛和退耕还林地的δ13CDIC值与DIC浓度呈正比,且雨季较旱季偏高约4‰—5‰。根据δ13CDIC值,结合各植被类型下土壤水DIC浓度与其相应的土壤碳酸盐含量呈正相关,判断旱地、灌丛地、退耕还林地等岩溶土壤水中的DIC主要来自土壤中碳酸盐岩矿物的碳酸溶蚀,即岩溶土壤中存在着碳酸盐岩碳酸溶蚀作用,从而在一定程度上减少了土壤系统向大气排放的CO2量。     

太湖流域生态风险评价

随着城镇的急剧扩张和经济的快速增长,流域生态环境遭到极大冲击和破坏,致使生态系统出现资源退化、环境恶化与灾害风险加剧的趋势,生态环境面临前所未有的挑战.从复合生态系统入手,深入分析流域内各生态系统要素之间的相互作用与影响机制,综合考虑多风险源、多风险受体和生态终点共存情况下的风险大小,从风险源危险度、生境脆弱度及受体损失度三方面构建了流域生态风险评价技术体系,并选取太湖流域为实证区域,对太湖流域2000年、2008年两个时期生态风险的时空演化特征进行评价与分析.结果表明:太湖流域生态风险指数介于0.015-0.253之间,以中等和较低生态风险为主.至2008年,高、较高生态风险所占面积逐渐扩大,已由2000年的5.66％、13.42％增加至6.05％、18.42％,主要集中在流域北部的常州市区、江阴市大部分地区以及无锡市区.