Predicting impacts of climate change on biodiversity: a role for semi‐mechanistic community‐level modelling

Aim Robust and reliable predictions of the effects of climate change on biodiversity are required in formulating conservation and management strategies that best retain biodiversity into the future. Significant challenges in modelling climate change impacts arise from limitations in our current knowledge of biodiversity. Community‐level modelling can complement species‐level approaches in overcoming these limitations and predicting climate change impacts on biodiversity as a whole. However, the community‐level approaches applied to date have been largely correlative, ignoring the key processes that influence change in biodiversity over space and time. Here, we suggest that the development of new ‘semi‐mechanistic’ community‐level models would substantially increase our capacity to predict climate change impacts on biodiversity. Location Global. Methods Drawing on an expansive review of biodiversity modelling approaches and recent advances in semi‐mechanistic modelling at the species level, we outline the main elements of a new semi‐mechanistic community‐level modelling approach. Results Our quantitative review revealed a sharp divide between mechanistic and non‐mechanistic biodiversity modelling approaches, with very few semi‐mechanistic models developed to date. Main conclusions We suggest that the conceptual framework presented here for combining mechanistic and non‐mechanistic community‐level approaches offers a promising means of incorporating key processes into predictions of climate change impacts on biodiversity whilst working within the limits of our current knowledge.     

The SAC1 domain in synaptojanin is required for autophagosome maturation at presynaptic terminals

Presynaptic terminals are metabolically active and accrue damage through continuous vesicle cycling. How synapses locally regulate protein homeostasis is poorly understood. We show that the presynaptic lipid phosphatase synaptojanin is required for macroautophagy, and this role is inhibited by the Parkinson's disease mutation R258Q. Synaptojanin drives synaptic endocytosis by dephosphorylating PI(4,5)P₂, but this function appears normal in Synaptojanin^RQ knock‐in flies. Instead, R258Q affects the synaptojanin SAC1 domain that dephosphorylates PI(3)P and PI(3,5)P₂, two lipids found in autophagosomal membranes. Using advanced imaging, we show that Synaptojanin^RQ mutants accumulate the PI(3)P/PI(3,5)P₂‐binding protein Atg18a on nascent synaptic autophagosomes, blocking autophagosome maturation at fly synapses and in neurites of human patient induced pluripotent stem cell‐derived neurons. Additionally, we observe neurodegeneration, including dopaminergic neuron loss, in Synaptojanin^RQ flies. Thus, synaptojanin is essential for macroautophagy within presynaptic terminals, coupling protein turnover with synaptic vesicle cycling and linking presynaptic‐specific autophagy defects to Parkinson's disease.     

Historical and event‐based bioclimatic suitability predicts regional forest vulnerability to compound effects of severe drought and bark beetle infestation

Vulnerability to climate change, and particularly to climate extreme events, is expected to vary across species ranges. Thus, we need tools to standardize the variability in regional climatic legacy and extreme climate across populations and species. Extreme climate events (e.g., droughts) can erode populations close to the limits of species' climatic tolerance. Populations in climatic‐core locations may also become vulnerable because they have developed a greater demand for resources (i.e., water) that cannot be enough satisfied during the periods of scarcity. These mechanisms can become exacerbated in tree populations when combined with antagonistic biotic interactions, such as insect infestation. We used climatic suitability indices derived from Species Distribution Models (SDMs) to standardize the climatic conditions experienced across Pinus edulis populations in southwestern North America, during a historical period (1972–2000) and during an extreme event (2001–2007), when the compound effect of hot drought and bark beetle infestation caused widespread die‐off and mortality. Pinus edulis climatic suitability diminished dramatically during the die‐off period, with remarkable variation between years. P. edulis die‐off occurred mainly not just in sites that experienced lower climatic suitability during the drought but also where climatic suitability was higher during the historical period. The combined effect of historically high climatic suitability and a marked decrease in the climatic suitability during the drought best explained the range‐wide mortality. Lagged effects of climatic suitability loss in previous years and co‐occurrence of Juniperus monosperma also explained P. edulis die‐off in particular years. Overall, the study shows that past climatic legacy, likely determining acclimation, together with competitive interactions plays a major role in responses to extreme drought. It also provides a new approach to standardize the magnitude of climatic variability across populations using SDMs, improving our capacity to predict population's or species' vulnerability to climatic change.     

Single organelle dynamics linked to 3D structure by correlative live‐cell imaging and 3D electron microscopy

Live‐cell correlative light‐electron microscopy (live‐cell‐CLEM) integrates live movies with the corresponding electron microscopy (EM) image, but a major challenge is to relate the dynamic characteristics of single organelles to their 3‐dimensional (3D) ultrastructure. Here, we introduce focused ion beam scanning electron microscopy (FIB‐SEM) in a modular live‐cell‐CLEM pipeline for a single organelle CLEM. We transfected cells with lysosomal‐associated membrane protein 1‐green fluorescent protein (LAMP‐1‐GFP), analyzed the dynamics of individual GFP‐positive spots, and correlated these to their corresponding fine‐architecture and immediate cellular environment. By FIB‐SEM we quantitatively assessed morphological characteristics, like number of intraluminal vesicles and contact sites with endoplasmic reticulum and mitochondria. Hence, we present a novel way to integrate multiple parameters of subcellular dynamics and architecture onto a single organelle, which is relevant to address biological questions related to membrane trafficking, organelle biogenesis and positioning. Furthermore, by using CLEM to select regions of interest, our method allows for targeted FIB‐SEM, which significantly reduces time required for image acquisition and data processing.      

A Switch in Microtubule Orientation during C. elegans Meiosis

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人体十二经原穴皮肤二氧化碳呼出量相关性的聚类分析

使用高灵敏度二氧化碳（CO_2）测定仪对30例健康人12经原穴的皮肤CO_2呼出量（SRC）进行了测定．对所测24个穴位的SRC进行两两相关计算,使用SAS统计软件对其距离矩阵进行聚类分析．类平均法聚类的结果表明,左右同名穴首先聚类,其次是表里经穴和同名经穴,伪t检验还支持将12经原穴分成两大类．Ward法聚类的结果与类平均法接近．同名穴组、表里经穴组、同名经穴组和非特异组的平均相关系数分别为0.814,0.65,0.514和0.379．秩和检验表明各组之间有显著性差异．本结果为传统中医经络理论中的同经左右相关、表里经相关和同名经相关原理提供了科学支持．     

Indole-3-acetic acid transport in apical dominance: a quantitative approach. Influence of endogenous and exogenous IAA apical source on inhibitory power of IAA transport

The relationship between the amount of indole-3-acetic acid transported (IAA transport) through the second node of 7-day-old pea seedlings and the degree of inhibition of axillary bud outgrowth at the same node was studied. For both the endogenous apical IAA source (leaves of apical bud) and the exogenous one (lanolin paste containing 0.25–1.0 mg mL^–1 IAA) the slope of linear dependence between inhibition and IAA transport was similar. However, the same IAA transport induced different inhibitions, which were higher for the endogenous source. Moreover, the apical bud induced higher inhibition at the same level of IAA transport when the 4th leaf was present than when it was absent. Apparently, the source of IAA also may regulate the inhibitory power of IAA transported from it. IAA transport appears to consists of active and slightly active one moving along different pathways.Abbreviations a and b coefficients of linear regression of the type y = a+bx; - confidence level of t-test - ELISA enzyme linked immunosorbent assay - GR_1,2 ^e/d growth rate of the lateral bud of experimental/decapitated (control) pea plants at the first and second days after treatment or decapitation - I degree of inhibition of lateral bud outgrowth - IAA indole-3-acetic acid - L_1,2,3 the lengths of lateral bud at 1, 2 or 3rd day after treatment or decapitation of pea plants - n data number - r correlation coefficient - T amount of IAA transported through the second node of pea plant for 3 hours - TIBA 2, 3, 5-triiodobenzoic acid - t-test statistical test used here to compare slopes of linear regressions (y = a+bx) calculated as % MathType!MTEF!2!1!+-% feaafiart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr% 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq-Jc9% vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x% fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaaeiDaiaabc% cacaqG9aGaaeiiaiaadkgadaWgaaWcbaGaaGymaaqabaGccaqGGaGa% aeylaiaabccacaWGIbWaaSbaaSqaaiaaikdaaeqaaOGaaeiiaiaab+% cacaqGGaWaaOaaaeaacaqGBbaaleqaaOGaaeikaiaabohacaqGLbGa% aeiiaiaadkgadaWgaaWcbaGaaGymaaqabaGccaqGPaWaaWbaaSqabe% aacaqGYaaaaOGaaeiiaiaabUcacaqGGaGaaeikaiaabohacaqGLbGa% aeiiaiaadkgadaWgaaWcbaGaaGOmaaqabaGccaqGPaWaaWbaaSqabe% aacaqGYaaaaOGaaeyxaiaab6caaaa!524A!\[{\text{t = }}b_1 {\text{ - }}b_2 {\text{ / }}\sqrt {\text{[}} {\text{(se }}b_1 {\text{)}}^{\text{2}} {\text{ + (se }}b_2 {\text{)}}^{\text{2}} {\text{]}}{\text{.}}\]