Thermal responses of an insect subjected to temperature variations

Temperature responses of the cockroach, Blaberus craniifer, to rapid changes of ambient temperature (T_a) have been studied. In static conditions at T_a = 27°C the body-to-ambient temperature difference was only 0.10 ± 0.07°C. Two test situations were used, either a ramp increase of T_a from 27 to 31°C (0.1°C/min) or “step” changes from 27 to 28°C and back (0.5°C/min). In both cases body temperature closely followed Newtonian model, the body time constants measured in various conditions being very similar: 543 ± 99 sec in ramp tests, 550 ± 68 sec and 542 ± 124 sec in rising and falling step tests respectively. It is concluded that in spite of evident differences between the cockroach and an inert solid, the Newtonian model adequately represents the thermal responses of this insect to moderate changes in ambient temperature.     

Tropicality and abjection: What do we really mean by “Neglected Tropical Diseases”?

Neglected tropical diseases are defined operationally as diseases that prevail in “tropical” regions and are under‐researched, under‐funded, and under‐treated compared with their disease burden. By analysing the adjectives “tropical” and “neglected,” I expose and interrogate the discourses within which the term “neglected tropical disease” derives its meaning. First, I argue that the term “tropical” conjures the notion of “tropicality,” a form of Othering which erroneously explains the disease‐prevalence of “tropical” regions by reference to environmental determinism, rather than colonialism and neocolonialism. Second, I examine the way in which this Othering enables the abjection of tropical regions and their peoples, leading to neglect. I recommend that the term “neglected tropical diseases” be more carefully contextualised within health scholarship, education, and policy.     

胰腺癌患者血清CEA、CA242、CA199水平变化及联合诊断的ROC曲线分析

目的:探讨胰腺癌患者血清癌胚抗原(CEA)、糖类抗原242(CA242)、糖类抗原199(CA199)水平变化,并分析上述指标对胰腺癌的联合诊断价值,为胰腺癌的临床诊断提供参考。方法:选择2014年2月至2018年2月我院收治的186例胰腺癌患者(胰腺癌组)、89例胰腺炎患者(胰腺炎组)作为研究对象,并取同期来我院检查的268例健康人作为对照组。比较三组受试者的血清CEA、CA242、CA199水平变化,对比分析血清CEA、CA242、CA199的单一以及联合诊断的准确度、特异度以及灵敏度,并绘制ROC曲线以分析上述指标的诊断价值。结果:三组受试者血清CEA、CA242、CA199水平差异具有统计学意义(P<0.05)。且胰腺炎组和胰腺癌组的血清CEA、CA242、CA199水平明显高于对照组,胰腺癌组患者的血清CEA、CA242、CA199水平明显高于胰腺炎组,差异均有统计学意义(P<0.05)。ROC曲线结果显示,CEA诊断价值最大,CA199诊断价值最小。CEA是胰腺癌单项肿瘤标志物中敏感度最高的,为85.48%;特异度最高的为CA242(96.72%);三项肿瘤标志物联合诊断的准确度增加至92.27%,敏感度增加至95.16%,特异度相比略有下降。结论:与单一肿瘤标记物诊断胰腺癌相比,CEA、CA242、CA199联合诊断的敏感度和准确度均明显升高,可以明显改善胰腺癌的漏诊率,提高患者的生存率,具有较好的临床应用价值。     

Arthropod community composition along snowmelt gradients in snowbeds in the Snowy Mountains of south‐eastern Australia

Environmental gradients drive variation in community composition across a range of spatial scales. In alpine regions, areas of long‐lasting snow (‘snow patches’) create snowmelt gradients that drive considerable change in vegetation structure and composition over small spatial scales. This study examined whether there is parallel variation in arthropod communities using snowmelt gradients in the Australian Alps. Mites (Acarina) were the most common arthropods in snow patches, followed by springtails while, among the insects, the orders Hymenoptera (primarily Formicidae), Diptera, Coleoptera (primarily Carabidae) and Hemiptera (primarily Cicadellidae) dominated. Along the snowmelt gradient, arthropod assemblages changed from having equal proportions of predators and herbivores in early‐melting zones to being predator‐dominated in late‐melting zones, particularly early in the growing season. This followed a transition in vegetation cover and composition and was driven by higher numbers of predacious carabid beetles in later‐melting zones. Overall, however, our results suggest that snowbed arthropod communities in the Australian alpine zone are more sensitive to short‐term effects, such as time since snowmelt, than to differences in vegetation structure and composition or long‐term patterns of snowmelt. Continued advancement of snowmelt timing due to warmer spring temperatures is therefore likely to have more impact on the seasonality of snowbed arthropod communities than on the overall community composition.     

A process‐based metacommunity framework linking local and regional scale community ecology

The metacommunity concept has the potential to integrate local and regional dynamics within a general community ecology framework. To this end, the concept must move beyond the discrete archetypes that have largely defined it (e.g. neutral vs. species sorting) and better incorporate local scale species interactions and coexistence mechanisms. Here, we present a fundamental reconception of the framework that explicitly links local coexistence theory to the spatial processes inherent to metacommunity theory, allowing for a continuous range of competitive community dynamics. These dynamics emerge from the three underlying processes that shape ecological communities: (1) density‐independent responses to abiotic conditions, (2) density‐dependent biotic interactions and (3) dispersal. Stochasticity is incorporated in the demographic realisation of each of these processes. We formalise this framework using a simulation model that explores a wide range of competitive metacommunity dynamics by varying the strength of the underlying processes. Using this model and framework, we show how existing theories, including the traditional metacommunity archetypes, are linked by this common set of processes. We then use the model to generate new hypotheses about how the three processes combine to interactively shape diversity, functioning and stability within metacommunities.     

Between a rock and a hard place: adaptive sensing and site‐specific dispersal

Environmental variability can lead to dispersal: why stay put if it is better elsewhere? Without clues about local conditions, the optimal strategy is often to disperse a set fraction of offspring. Many habitats contain environmentally differing sub‐habitats. Is it adaptive for individuals to sense in which sub‐habitat they find themselves, using environmental clues, and respond plastically by altering the dispersal rates? This appears to be done by some plants which produce dimorphic seeds with differential dispersal properties in response to ambient temperature. Here we develop a mathematical model to show, that in highly variable environments, not only does sensing promote plasticity of dispersal morph ratio, individuals who can sense their sub‐habitat and respond in this way have an adaptive advantage over those who cannot. With a rise in environmental variability due to climate change, our understanding of how natural populations persist and respond to changes has become crucially important.     

Prospects for incorporation of epigenetic biomarkers in human health and environmental risk assessment of chemicals

Epigenetic mechanisms have gained relevance in human health and environmental studies, due to their pivotal role in disease, gene × environment interactions and adaptation to environmental change and/or contamination. Epigenetic mechanisms are highly responsive to external stimuli and a wide range of chemicals has been shown to determine specific epigenetic patterns in several organisms. Furthermore, the mitotic/meiotic inheritance of such epigenetic marks as well as the resulting changes in gene expression and cell/organismal phenotypes has now been demonstrated. Therefore, epigenetic signatures are interesting candidates for linking environmental exposures to disease as well as informing on past exposures to stressors. Accordingly, epigenetic biomarkers could be useful tools in both prospective and retrospective risk assessment but epigenetic endpoints are currently not yet incorporated into risk assessments. Achieving a better understanding on this apparent impasse, as well as identifying routes to promote the application of epigenetic biomarkers within environmental risk assessment frameworks are the objectives of this review. We first compile evidence from human health studies supporting the use of epigenetic exposure‐associated changes as reliable biomarkers of exposure. Then, specifically focusing on environmental science, we examine the potential and challenges of developing epigenetic biomarkers for environmental fields, and discuss useful organisms and appropriate sequencing techniques to foster their development in this context. Finally, we discuss the practical incorporation of epigenetic biomarkers in the environmental risk assessment of chemicals, highlighting critical data gaps and making key recommendations for future research within a regulatory context.