间作牧草对茶园螨类群落多样性的影响

螨类是茶园生态系统中重要且复杂的类群之一.为了了解不同植物问作后对茶园螨类群落的组成结构和多样性的影响,2006年3月至2008年4月,在武夷山市星村镇大坪洲茶园通过间作百喜草(Paspalum notatum)或圆叶决明(Cassia rotundifolia)、留养杂草和除杂草4种不同处理,对茶园茶冠层(采用盆拍法及剪枝条法)和凋落层(采用捡取凋落物法)的螨类进行系统采样、标本鉴定和统计分析.结果表明:与留养杂草对照相比,间作百喜草或圆叶决明均显著增加了茶冠层和凋落层捕食螨的物种丰富度(S)、有效多样性指数(eH')、个体数(M和绝对丰度(-/n).与留养杂草和除杂草这两种对照相比,间作百喜草或圆叶决明均显著增加了茶冠层和凋落层优势种圆果大赤螨(Anystis baccarum)的个体数(N).荼冠层植食螨和腐食螨及凋落层腐食螨的所有群落指标在不同处理茶园间均无显著差异.茶冠层和凋落层螨类群落物种丰富度(S)和个体数(N)季节性变化明显,物种组成相似性高.间作茶园和留养杂草茶园茶冠层的螨类总个体数与其对应的凋落层螨类总个体数呈显著正相关.多样化茶园有利于保护和利用捕食螨,从而对茶园有害生物进行生态控制,促进有机茶叶可持续生产.     

Evolutionary tracking is determined by differential selection on demographic rates and density dependence

Recent ecological forecasts predict that ~25% of species worldwide will go extinct by 2050. However, these estimates are primarily based on environmental changes alone and fail to incorporate important biological mechanisms such as genetic adaptation via evolution. Thus, environmental change can affect population dynamics in ways that classical frameworks can neither describe nor predict. Furthermore, often due to a lack of data, forecasting models commonly describe changes in population demography by summarizing changes in fecundity and survival concurrently with the intrinsic growth rate (r). This has been shown to be an oversimplification as the environment may impose selective pressure on specific demographic rates (birth and death) rather than directly on r (the difference between the birth and death rates). This differential pressure may alter population response to density, in each demographic rate, further diluting the information combined to produce r. Thus, when we consider the potential for persistence via adaptive evolution, populations with the same r can have different abilities to persist amidst environmental change. Therefore, we cannot adequately forecast population response to climate change without accounting for demography and selection on density dependence. Using a continuous‐time Markov chain model to describe the stochastic dynamics of the logistic model of population growth and allow for trait evolution via mutations arising during birth events, we find persistence via evolutionary tracking more likely when environmental change alters birth rather than the death rate. Furthermore, species that evolve responses to changes in the strength of density dependence due to environmental change are less vulnerable to extinction than species that undergo selection independent of population density. By incorporating these key demographic considerations into our predictive models, we can better understand how species will respond to climate change.     

Evolution of the TIR domain-containing adaptors in humans: swinging between constraint and adaptation

Natural selection is expected to act strongly on immune system genes as hosts adapt to novel, diverse, and coevolving pathogens. Population genetic studies of host defense genes with parallel functions in model organisms have revealed distinct evolutionary histories among the different components-receptors, adaptors, and effectors-of the innate immune system. In humans, however, detailed evolutionary studies have been mainly confined to the receptors and in particular to Toll-like receptors (TLRs). By virtue of a toll/interleukin-1 receptor (TIR) domain, TLRs activate distinct signaling pathways, which are mediated by the five TIR-containing adaptors: myeloid differentiation factor-88 (MyD88), myeloid differentiation factor-88 adaptor-like protein (MAL), toll/interleukin-1 receptor domain-containing adaptor protein inducing interferon (IFN)β (TRIF), toll/interleukin-1 receptor domain-containing adaptor protein inducing IFNβ-related adaptor molecule (TRAM), and sterile α- and armadillo motif-containing protein (SARM). Here, we have examined the extent to which natural selection has affected immune adaptors in humans, using as a paradigm the TIR-containing adaptors. To do so, we characterized their levels of naturally occurring genetic variation in various human populations. We found that MyD88 and TRIF have mainly evolved under purifying selection, suggesting that their role in the early stages of signal transduction is essential and nonredundant for host survival. In addition, the adaptors have been targeted by multiple episodes of positive selection, differing in timing and spatial location. MyD88 and SARM display signatures of a selective sweep that has occurred in all humans, whereas for the other three adaptors, we detected signatures of adaptive evolution that are restricted to specific populations. Our study provides evidence that the contemporary diversity of the five TIR-containing adaptors results from the intermingling of different selective events, swinging between constraint and adaptation.     

Surveys reveal a complex association of phytoplasmas and viruses with the blueberry stunt disease on Canadian blueberry farms

Surveys for phytoplasmas and viruses were conducted during September 2014 and 2015 on highbush blueberry farms in the Région Montérégie, Quebec. Total DNA and RNA were extracted from blueberry bushes showing blueberry stunt (BBS) symptoms and from symptomless blueberry bushes, and utilised as templates for PCR and RT‐PCR assays, respectively. Phytoplasma DNA was amplified with universal phytoplasma primers that target the 16S rRNA, secA and secY genes from 12 out of 40 (30%) plants tested. Based on 16S rRNA, secA and secY gene sequence identity, phylogenetic clustering, actual and in silico RFLP analyses, phytoplasma strains associated with BBS disease in Quebec were identified as ‘Candidatus Phytoplasma asteris’‐related strains, closely related to the BBS Michigan phytoplasma strain (16SrI‐E). The secY gene sequence‐based single nucleotide polymorphism analysis revealed that one of the BBS phytoplasma strains associated with a leaf marginal yellowing is a secY‐I RFLP variant of the subgroup 16SrI‐E. Two viruses were detected in blueberry bushes. The Blueberry Red Ringspot Virus (BRRV) was found in a single infection in the cultivar Bluecrop with no apparent typical BRRV symptoms. The Tobacco Ringspot Virus (TRSV) was found singly infecting blueberry plants and co‐infecting a BBS phytoplasma‐infected blueberry cv. Bluecrop plant. This is the first report of TRSV in the cv. Bluecrop in Quebec. The Quebec BBS phytoplasma strain was identified in the leafhopper Graphocephala fennahi, which suggests that G. fennahi may be a potential vector for the BBS phytoplasma. The BBS disease shows a complex aetiology and epidemiology; therefore, prompt actions must be developed to support focused BBS integrated management strategies.     

Implication for DNA methylation involved in the host transfer of diamondback moth,Plutella xylostella (L.)

DNA methylation exerts extensive impacts on gene expression of various living organisms exposed to environmental variation. However, little is known whether DNA methylation is involved in the host transfer of diamondback moth, Plutella xylostella (L.), a worldwide destructive pest of crucifers. In this study, we found that P. xylostella genome exhibited a relatively low level of DNA methylation on the basis of the CpG O/E prediction and experimental validation. A significant positive linear correlation was observed between the stage‐specific expressions of PxDNMT1 and DNA methylation levels (5mC content). Particularly, high levels of DNA methylation and gene expression of PxDNMT1 were observed in eggs and mature females of P. xylostella. After host transfer of P. xylostella from Raphanus sativus to Arabidopsis thaliana, we identified some potential genomic loci that might have changed methylation levels. Using the method of fluorescence‐labeled methylation‐sensitive amplified polymorphism (F‐MSAP), we also found the corresponding genes primarily involved in neural system and signaling. The expressions of six candidate genes were verified by qRT‐PCR. One of the genes, Px009600, might be regulated by a DNA methylation‐mediated mechanism in response to host transfer. Our study provides evidence for a functional system of DNA methylation in P. xylostella and its possible role in adaptation during host transfer. Further studies should examine methylation as responsive factors to different host plants and environmental cues in insect pests.     

Opportunities for behavioral rescue under rapid environmental change

Laboratory measurements of physiological and demographic tolerances are important in understanding the impact of climate change on species diversity; however, it has been recognized that forecasts based solely on these laboratory estimates overestimate risk by omitting the capacity for species to utilize microclimatic variation via behavioral adjustments in activity patterns or habitat choice. The complex, and often context‐dependent nature, of microclimate utilization has been an impediment to the advancement of general predictive models. Here, we overcome this impediment and estimate the potential impact of warming on the fitness of ectotherms using a benefit/cost trade‐off derived from the simple and broadly documented thermal performance curve and a generalized cost function. Our framework reveals that, for certain environments, the cost of behavioral thermoregulation can be reduced as warming occurs, enabling behavioral buffering (e.g., the capacity for behavior to ameliorate detrimental impacts) and “behavioral rescue” from extinction in extreme cases. By applying our framework to operative temperature and physiological data collected at an extremely fine spatial scale in an African lizard, we show that new behavioral opportunities may emerge. Finally, we explore large‐scale geographic differences in the impact of behavior on climate‐impact projections using a global dataset of 38 insect species. These multiple lines of inference indicate that understanding the existing relationship between thermal characteristics (e.g., spatial configuration, spatial heterogeneity, and modal temperature) is essential for improving estimates of extinction risk.     

Increased temperature variation poses a greater risk to species than climate warming

Increases in the frequency, severity and duration of temperature extremes are anticipated in the near future. Although recent work suggests that changes in temperature variation will have disproportionately greater effects on species than changes to the mean, much of climate change research in ecology has focused on the impacts of mean temperature change. Here, we couple fine-grained climate projections (2050–2059) to thermal performance data from 38 ectothermic invertebrate species and contrast projections with those of a simple model. We show that projections based on mean temperature change alone differ substantially from those incorporating changes to the variation, and to the mean and variation in concert. Although most species show increases in performance at greater mean temperatures, the effect of mean and variance change together yields a range of responses, with temperate species at greatest risk of performance declines. Our work highlights the importance of using fine-grained temporal data to incorporate the full extent of temperature variation when assessing and projecting performance.