Maternal predator‐exposure affects offspring size at birth but not telomere length in a live‐bearing fish

The perception of predation risk could affect prey phenotype both within and between generations (via parental effects). The response to predation risk could involve modifications in physiology, morphology, and behavior and can ultimately affect long‐term fitness. Among the possible modifications mediated by the exposure to predation risk, telomere length could be a proxy for investigating the response to predation risk both within and between generations, as telomeres can be significantly affected by environmental stress. Maternal exposure to the perception of predation risk can affect a variety of offspring traits but the effect on offspring telomere length has never been experimentally tested. Using a live‐bearing fish, the guppy (Poecilia reticulata), we tested if the perceived risk of predation could affect the telomere length of adult females directly and that of their offspring with a balanced experimental setup that allowed us to control for both maternal and paternal contribution. We exposed female guppies to the perception of predation risk during gestation using a combination of both visual and chemical cues and we then measured female telomere length after the exposure period. Maternal effects mediated by the exposure to predation risk were measured on offspring telomere length and body size at birth. Contrary to our predictions, we did not find a significant effect of predation‐exposure neither on female nor on offspring telomere length, but females exposed to predation risk produced smaller offspring at birth. We discuss the possible explanations for our findings and advocate for further research on telomere dynamics in ectotherms.     

Disentangling the spatial and temporal causes of decline in a bird population

The difficulties in understanding the underlying reasons of a population decline lie in the typical short duration of field studies, the often too small size already reached by a declining population or the multitude of environmental factors that may influence population trend. In this difficult context, useful demographic tools such as integrated population models (IPM) may help disentangling the main reasons for a population decline. To understand why a hoopoe Upupa epops population has declined, we followed a three step model analysis. We built an IPM structured with respect to habitat quality (approximated by the expected availability of mole crickets, the main prey in our population) and estimated the contributions of habitat‐specific demographic rates to population variation and decline. We quantified how much each demographic rate has decreased and investigated whether habitat quality influenced this decline. We tested how much weather conditions and research activities contributed to the decrease in the different demographic rates. The decline of the hoopoe population was mainly explained by a decrease in first‐year apparent survival and a reduced number of fledglings produced, particularly in habitats of high quality. Since a majority of pairs bred in habitats of the highest quality, the decrease in the production of locally recruited yearlings in high‐quality habitat was the main driver of the population decline despite a homogeneous drop of recruitment across habitats. Overall, the explanatory variables we tested only accounted for 19% of the decrease in the population growth rate. Among these variables, the effects of spring temperature (49% of the explained variance) contributed more to population decline than spring precipitation (36%) and research activities (maternal capture delay, 15%). This study shows the power of IPMs for identifying the vital rates involved in population declines and thus paves the way for targeted conservation and management actions.     

In silico and empirical evaluation of twelve metabarcoding primer sets for insectivorous diet analyses

During the most recent decade, environmental DNA metabarcoding approaches have been both developed and improved to minimize the biological and technical biases in these protocols. However, challenges remain, notably those relating to primer design. In the current study, we comprehensively assessed the performance of ten COI and two 16S primer pairs for eDNA metabarcoding, including novel and previously published primers. We used a combined approach of in silico, in vivo‐mock community (33 arthropod taxa from 16 orders), and guano‐based analyses to identify primer sets that would maximize arthropod detection and taxonomic identification, successfully identify the predator (bat) species, and minimize the time and financial costs of the experiment. We focused on two insectivorous bat species that live together in mixed colonies: the greater horseshoe bat (Rhinolophus ferrumequinum) and Geoffroy's bat (Myotis emarginatus). We found that primer degeneracy is the main factor that influences arthropod detection in silico and mock community analyses, while amplicon length is critical for the detection of arthropods from degraded DNA samples. Our guano‐based results highlight the importance of detecting and identifying both predator and prey, as guano samples can be contaminated by other insectivorous species. Moreover, we demonstrate that amplifying bat DNA does not reduce the primers' capacity to detect arthropods. We therefore recommend the simultaneous identification of predator and prey. Finally, our results suggest that up to one‐third of prey occurrences may be unreliable and are probably not of primary interest in diet studies, which may decrease the relevance of combining several primer sets instead of using a single efficient one. In conclusion, this study provides a pragmatic framework for eDNA primer selection with respect to scientific and methodological constraints.     

Tracking unstable states: ecosystem dynamics in a changing world

Ecological systems can show complex and sometimes abrupt responses to environmental change, with important implications for their resilience. Theories of alternate stable states have been used to predict regime shifts of ecosystems as equilibrium responses to sufficiently slow environmental change. The actual rate of environmental change is a key factor affecting the response, yet we are still lacking a non-equilibrium theory that explicitly considers the influence of this rate of environmental change. We present a metacommunity model of predator–prey interactions displaying multiple stable states, and we impose an explicit rate of environmental change in habitat quality (carrying capacity) and connectivity (dispersal rate). We study how regime shifts depend on the rate of environmental change and compare the outcome with a stability analysis in the corresponding constant environment. Our results reveal that in a changing environment, the community can track states that are unstable in the constant environment. This tracking can lead to regime shifts, including local extinctions, that are not predicted by alternative stable state theory. In our metacommunity, tracking unstable states also controls the maintenance of spatial heterogeneity and spatial synchrony. Tracking unstable states can also lead to regime shifts that may be reversible or irreversible. Our study extends current regime shift theories to integrate rate-dependent responses to environmental change. It reveals the key role of unstable states for predicting transient dynamics and long-term resilience of ecological systems to climate change.     

假结核耶尔森氏菌中Phd-Doc毒素-抗毒素系统的功能鉴定

【背景】毒素-抗毒素系统在微生物体内广泛存在,在微生物对抗外界不良环境方面发挥重要作用。【目的】以模式细菌假结核耶尔森氏菌(Yersinia pseudotuberculosis,Yptb)为材料,探究其编码的Phd-Doc毒素-抗毒素系统的作用机制和生物学功能。【方法】通过生物信息学方法预测Yptb中编码的Phd-Doc毒素-抗毒素系统,通过毒性分析、基因表达分析及蛋白相互作用对其进行鉴定;通过抗生素胁迫、氧胁迫、生物被膜形成等实验研究Phd-Doc在体内发挥的生物学功能。【结果】生物信息学分析鉴定出一对Phd-Doc毒素-抗毒素系统,发现二者共转录且相互作用;毒素蛋白Doc能够引起大肠杆菌形态发生变化并抑制其生长,抗毒素蛋白Phd能中和Doc的毒性;Phd-Doc毒素-抗毒素系统具有自调控抑制效应;phd-doc的缺失对Yptb自身的生长无影响,而且毒素蛋白Doc在野生型Yptb内过表达并未显示毒性;phd-doc在转录水平上响应了抗生素胁迫和氧胁迫,其中,对氯霉素胁迫最为敏感,但并不影响Yptb的生长;同时,Phd-Doc能够影响Yptb的生物被膜形成能力。【结论】Yptb中Phd-Doc毒素-抗毒素系统的功能鉴定对于更好地了解在多变的外部环境下微生物的定殖和响应机制具有重要意义。     

全球变化格局下重要传粉昆虫大蜜蜂的潜在适生区变化

【目的】当前全球气候变化、土地利用改变、人类活动加剧等正威胁着传粉昆虫的多样性及分布;蜜蜂是生态系统中重要的传粉昆虫类群,对气候、环境变化响应敏感。本研究以重要的传粉昆虫大蜜蜂Apis dorsata为对象,探讨全球变化格局下其潜在适生区变化以及影响其分布的关键因子。【方法】通过文献、馆藏和野外调查系统收集了全球范围内大蜜蜂的物种分布数据,使用13个环境变量通过MaxEnt模型模拟了大蜜蜂当前的潜在适生区;使用9个气候变量并结合公共地球系统模型(CCSM4)模拟了大蜜蜂过去、当前和未来的潜在适生区。【结果】AUC比率显示MaxEnt模型对大蜜蜂的潜在适生区模拟具有较高的准确性,模拟结果表明大蜜蜂的中高潜在适生区主要分布在南亚和东南亚湿润的热带雨林、热带季节性雨林和低地雨林。人类影响、温度季节性变化、等温性、最冷季均温和海拔是影响大蜜蜂潜在适生区的5个最主要因子;在人类影响下大蜜蜂的潜在适生区向山区和连片的湿润常绿森林区收缩,中高潜在适生区显著减少且呈破碎化趋势。基于9个气候变量和CCSM4气候模型对过去、当前和未来的模拟结果显示：在过去的末次冰盛期,东南亚地区可能是大蜜蜂的避难所;在未来,广布于热带地区的大蜜蜂适生区与当前的相近,且部分地区适生指数升高。【结论】基于气候的模拟结果显示大蜜蜂能积极应对未来气候变暖,但随人类活动的加剧及全球气候变化,大蜜蜂仍然面临较大的威胁,需要加强其在南亚和东南亚的中高潜在适生区的重视和保护。     

喀斯特地区土壤温度变化特征及其与环境因子的关系

喀斯特地区土壤温度变化特征对研究该区土壤活性及小气候变化具有重要意义。为探明喀斯特地区土壤温度变化特征及其与环境因子的关系,以喀斯特高原峡谷区四种典型土地类型（花椒地、金银花地、火龙果地、荒地）为研究对象,采用土壤含水量监测系统（ECH2O）对各样地土壤温度变化进行连续定点监测,分析土壤温度的动态变化特征及其与环境因子的关系。结果表明：10 cm处土壤温度日变幅最大,土层越深日变幅越小;土壤温度日变幅为夏季较大,秋、冬季较小。火龙果地、金银花地土壤温度日变幅明显大于花椒地、荒地;随着土层加深,土壤温度日变化出现滞后现象;不同季节土壤温度均为火龙果地 > 荒地 > 花椒地 > 金银花地。夏季土层越深,土壤温度越低;秋、冬季土层越深,土壤温度越高;土壤垂直温度变异系数表现为冬季大于夏季。相关分析表明,土壤温度与气温、太阳辐射及土壤含水量均呈显著正相关（P<0.05）,土壤温度变化与容重、孔隙度、土壤质地、有机碳等土壤理化性质相关性显著。花椒地土壤温度日变幅最小,与其较高的土壤含水量和总孔隙度、容重小、土壤持水性强密切相关。综上,花椒地对土壤温度的调节效果较好,因此,在喀斯特地区生态恢复的过程中,种植花椒能在一定程度上改善土壤性质,提升土壤肥力。本研究为喀斯特地区的生态恢复提供了科学依据,为植被生态效益评价提供一定参考。     

Can we manage fisheries with the inherent uncertainty from eDNA?

Environmental (e)DNA, as a general approach in aquatic systems, seeks to connect the presence of species' genetic material in the water and hence to infer the species' physical presence. However, fisheries managers face making decisions with risk and uncertainty when eDNA indicates a fish is present but traditional methods fail to capture the fish. In comparison with traditional methods such as nets, electrofishing and piscicides, eDNA approaches have more sources of underlying error that could give rise to false positives. This has resulted in some managers to question whether eDNA can be used to make management decisions because there is no fish in hand. As a relatively new approach, the methods and techniques have quickly evolved to improve confidence in eDNA. By evaluating an eDNA based research programmes through the pattern of the eDNA signal, assay design, experimental design, quality assurance and quality control checks, data analyses and concurrent search for fish using traditional gears, the evidence for fish presence can be evaluated to build confidence in the eDNA approach. The benefits for fisheries management from adopting an eDNA approach are numerous but include cost effectiveness, broader geographic coverage of habitat occupancy, early detection of invasive species, non-lethal stock assessments, exploration of previously inaccessible aquatic environments and discovery of new species hidden beneath the water's surface. At a time when global freshwater and marine fisheries are facing growing threats from over-harvest, pollution and climate change, we anticipate that growing confidence in eDNA will overcome the inherent uncertainty of not having a fish in hand and will empower the informed management actions necessary to protect and restore our fisheries.     

At Palmyra Atoll,the fish-community environmental DNA signal changes across habitats but not with tides

At Palmyra Atoll, the environmental DNA (eDNA) signal on tidal sand flats was associated with fish biomass density and captured 98%–100% of the expected species diversity there. Although eDNA spilled over across habitats, species associated with reef habitat contributed more eDNA to reef sites than to sand-flat sites, and species associated with sand-flat habitat contributed more eDNA to sand-flat sites than to reef sites. Tides did not disrupt the sand-flat habitat signal. At least 25 samples give a coverage >97.5% at this diverse, tropical, marine system.