Using multiple biomarkers and determinants to obtain a better measurement of oxidative stress: a latent variable structural equation model approach

Purpose: Since oxidative stress involves a variety of cellular changes, no single biomarker can serve as a complete measure of this complex biological process. The analytic technique of structural equation modeling (SEM) provides a possible solution to this problem by modelling a latent (unobserved) variable constructed from the covariance of multiple biomarkers.

Methods: Using three pooled datasets, we modelled a latent oxidative stress variable from five biomarkers related to oxidative stress: F₂-isoprostanes (FIP), fluorescent oxidation products, mitochondrial DNA copy number, γ-tocopherol (Gtoc) and C-reactive protein (CRP, an inflammation marker closely linked to oxidative stress). We validated the latent variable by assessing its relation to pro- and anti-oxidant exposures.

Results: FIP, Gtoc and CRP characterized the latent oxidative stress variable. Obesity, smoking, aspirin use and β-carotene were statistically significantly associated with oxidative stress in the theorized directions; the same exposures were weakly and inconsistently associated with the individual biomarkers.

Conclusions: Our results suggest that using SEM with latent variables decreases the biomarker-specific variability, and may produce a better measure of oxidative stress than do single variables. This methodology can be applied to similar areas of research in which a single biomarker is not sufficient to fully describe a complex biological phenomenon.     

物种多样性和系统发育多样性对阔叶红松林生产力的影响

生物多样性与生态系统功能间的关系已成为生态学研究的热点问题之一,其中植物多样性对森林生产力的驱动作用受到广泛关注,而其潜在驱动机制还存在很大争议.本研究依托黑龙江凉水国家级自然保护区典型阔叶红松林9 hm^2森林动态监测样地,利用2005年和2015年的调查数据,采用线性回归和结构方程模型探究不同空间尺度下物种多样性和系统发育多样性对森林生产力的影响.结果表明:物种多样性和系统发育多样性与生产力均呈正相关,随着空间尺度的增大,物种多样性对生产力的作用强度逐渐增强,而系统发育多样性对生产力的作用逐渐减弱;小尺度下系统发育多样性对生产力的影响大于物种多样性.生产力还受到非生物因素影响,在不同尺度下土壤因子与生产力均呈显著正相关,并且随着尺度的增大,土壤因子对生产力的作用逐渐占据主导地位.在今后研究中应将进化信息与生态系统功能相联系,可为其他多样性度量提供额外的解释力,同时还应考虑空间尺度及非生物因素的影响,为深入了解森林生产力的驱动机制提供科学依据.     

基于结构方程模型分析荒漠啮齿动物优势种对不同放牧干扰的响应

放牧被认为是草地生态系统的主要干扰之一。许多研究表明,放牧影响了啮齿动物的个体条件、繁殖、种群动态、群落组成及群落多样性等多个方面。由于受传统统计学方法的限制,这些研究只是单独的对放牧作用进行假设检验,而没有将多个假设放在同一个框架内进行验证。2006—2011年,采用标志重捕法对内蒙古阿拉善荒漠区不同放牧生境中啮齿动物优势种的数量进行研究并使用结构方程建模的方法将可能影响荒漠啮齿动物优势种的环境因子(气候条件、土壤硬度、植物隐蔽、植物生物量等19个指标)与啮齿动物优势种种群动态结合后进行多假设检验,旨在找出不同放牧干扰下制约优势啮齿动物环境因子的发生途径。结果表明:气候条件对五趾跳鼠和三趾跳鼠有直接不利影响,隐蔽对于两足活动的五趾跳鼠有负效应,而对四足活动的子午沙鼠有正效应。植物生物量对五趾跳鼠有正效应,但对子午沙鼠有负效应。土壤硬度的增加间接的有利于五趾跳鼠,对子午沙鼠有直接的正效应。因此荒漠啮齿动物优势种种群动态是多个过程共同作用的结果,气候条件是驱动啮齿动物种群动态的根本原因,而放牧会因为改变植物隐蔽而影响啮齿动物在群落中的组成。     

Relationships between hormones and aggressive behavior in green anole lizards: an analysis using structural equation modeling

We investigated the relationship between aggressive behavior and circulating androgens in the context of agonistic social interaction and examined the effect of this interaction on the androgen-aggression relationship in response to a subsequent social challenge in male Anolis carolinensis lizards. Individuals comprising an aggressive encounter group were exposed to an aggressive conspecific male for 10 min per day during a 5-day encounter period, while controls were exposed to a neutral stimulus for the same period. On the sixth day, their responses to an intruder test were observed. At intervals, individuals were sacrificed to monitor plasma androgen levels. Structural equation modeling (SEM) was used to test three a priori interaction models of the relationship between social stimulus, aggressive behavior, and androgen. Model 1 posits that exposure to a social stimulus influences androgen and aggressive behavior independently. In Model 2, a social stimulus triggers aggressive behavior, which in turn increases circulating levels of androgen. In Model 3, exposure to a social stimulus influences circulating androgen levels, which in turn triggers aggressive behavior. During the 5 days of the encounter period, circulating testosterone (T) levels of the aggressive encounter group followed the same pattern as their aggressive behavioral responses, while the control group did not show significant changes in their aggressive behavior or T level. Our SEM results supported Model 2. A means analysis showed that during the intruder test, animals with 5 days of aggressive encounters showed more aggressive responses than did control animals, while their circulating androgen levels did not differ. This further supports Model 2, suggesting that an animal's own aggressive behavior may trigger increases in levels of plasma androgen.     

林隙（Gap）模型研究进展

林隙（Ｇａｐ）模型研究进展于振良赵士洞（中国科学院自然资源综合考察委员会,北京１００１０１）ＡｄｖａｎｃｅｓｏｆＧａｐＭｏｄｅｌ．ＹｕＺｈｅｎｌｉａｎｇ,ＺｈａｏＳｈｉｄｏｎｇ（ＣｏｍｍｉｓｉｏｎｆｏｒＩｎｔｅｇｒａｔｅｄＳｕｒｖｅｙｏｆＮａｔｕｒａ...     

鼎湖山南亚热带常绿阔叶林植物功能性状变异与不同垂直层次个体生长的关联

建立植物功能性状与群落动态之间的关联是功能生态学的核心问题之一。本文基于鼎湖山1.44 ha塔吊样地的两次调查数据, 通过采集样地内所有4,142株个体的6种植物功能性状, 对比分析了个体水平植物功能性状和物种水平功能性状均值对不同垂直层次(灌木层、亚冠层和林冠层)个体生长的影响差异。首先, 分析了不同垂直层次下各植物功能性状的变化趋势; 其次, 计算了不同垂直层次下各植物功能性状的种内和种间变异水平; 最后, 运用结构方程模型探讨了植物功能性状、光竞争以及地下竞争对不同垂直层次树木生长的影响。结果表明: (1)不同垂直层次下的植物功能性状表现出明显的分异, 由灌木层至林冠层, 叶面积、比叶面积和能量供求关系指数显著降低, 而叶片厚度和叶片干物质含量显著升高; (2)不同垂直层次下植物功能性状的种间变异均大于种内变异, 且林冠层的种内功能性状变异均大于灌木层和亚冠层; (3)基于个体水平植物功能性状的结构方程模型较物种水平功能性状均值对生长具有更高的解释程度, 且个体水平植物功能性状的引入更有利于提高对灌木层个体生长的预测能力; (4)光竞争和地下竞争主要通过影响功能性状间接影响植物生长。由灌木层至林冠层, 同种间的相互作用逐渐减弱, 异种间的相互作用逐渐增强。综上, 将个体水平植物功能性状纳入分析有助于更好地理解群落的结构和动态。     

Using L-systems for modeling source-sink interactions, architecture and physiology of growing trees: the L-PEACH model

Functional-structural plant models simulate the development of plant structure, taking into account plant physiology and environmental factors. The L-PEACH model is based on the development of peach trees. It demonstrates the usefulness of L-systems in constructing functional-structural models. L-PEACH uses L-systems both to simulate the development of tree structure and to solve differential equations for carbohydrate flow and allocation. New L-system-based algorithms are devised for simulating the behavior of dynamically changing structures made of hundreds of interacting, time-varying, nonlinear components. L-PEACH incorporates a carbon-allocation model driven by source-sink interactions between tree components. Storage and mobilization of carbohydrates during the annual life cycle of a tree are taken into account. Carbohydrate production in the leaves is simulated based on the availability of water and light. Apices, internodes, leaves and fruit grow according to the resulting local carbohydrate supply. L-PEACH outputs an animated three-dimensional visual representation of the growing tree and user-specified statistics that characterize selected stages of plant development. The model is applied to simulate a tree's response to fruit thinning and changes in water stress. L-PEACH may be used to assist in horticultural decision-making processes after being calibrated to specific trees.     

Fine-scale spatial variation in plant species richness and its relationship to environmental conditions in coastal marshlands

Previous studies have shown that variations in environmental conditions play a major role in explaining variations in plant species richness at community and landscape scales. In this study, we considered the degree to which fine-scale spatial variations in richness could be related to fine-scale variations in abiotic and biotic factors. To examine spatial variation in richness, grids of 1 m² plots were laid out at five sites within a coastal riverine wetland landscape. At each site, a 5 × 7 array of plots was established adjacent to the river’s edge with plots one meter apart. In addition to the estimation of species richness, environmental measurements included sediment salinity, plot microelevation, percent of plot recently disturbed, and estimated community biomass. Our analysis strategy was to combine the use of structural equation modeling (path modeling) with an assessment of spatial association. Mantel’s tests revealed significant spatial autocorrelation in species richness at four of the five sites sampled, indicating that richness in a plot correlated with the richness of nearby plots. We subsequently considered the degree to which spatial autocorrelations in richness could be explained by spatial autocorrelations in environmental conditions. Once data were corrected for environmental correlations, spatial autocorrelation in residual species richness could not be detected at any site. Based on these results, we conclude that in this coastal wetland, there appears to be a fine-scale mapping of diversity to microgradients in environmental conditions.     

滨海盐渍农田土壤硝化势特征及其影响因素

明确滨海盐渍农田土壤的硝化能力,探究土壤环境中影响硝化过程的主要因子,对调控农田土壤硝化作用和提高氮肥利用率具有重要意义。通过野外调查和室内分析相结合的方法,研究了滨海淤泥质滩涂盐渍区域(东营市和东台市)农田土壤硝化势和土壤物理、化学、生物学性质,运用多元逐步回归分析和结构方程模型(SEM)建立了土壤性质与土壤硝化势的相关关系。结果表明:滨海盐渍农田土壤除pH值较稳定外,其他土壤性质和土壤硝化势变化差异较大。土壤硝化势范围为0.04～10.42 mg·kg^-1·d^-1,随土壤盐渍化程度增加而降低。相关分析表明,土壤硝化势与土壤有机质、阳离子交换量和Cl^-的相关性最强,相关系数分别为0.409、0.397和-0.337;而多元逐步回归分析表明,Na⁺、粉粒、阳离子交换量、CO₃^2-+HCO₃^-为土壤硝化势的主要影响因子。SEM分析结果表明,Na⁺、粉粒、阳离子交换量、CO₃^2-+HCO₃^-为影响土壤硝化势的直接因子,有机质、黏粒、Cl^-、SO₄^2-为影响土壤硝化势的间接因子。总之,土壤Na⁺和阳离子交换量是影响硝化作用的两个主要因素,在该区域调控土壤NaCl含量和阳离子交换量为调节土壤硝化过程的有效手段。     

The effect of historical legacy on adaptation: do closely related species respond to the environment in the same way?

The many documented examples of parallel and convergent evolution in similar environments are strong evidence for the role of natural selection in the evolution of trait variation. However, species may respond to selection in different ways; idiosyncrasies of their evolutionary history may affect how different species respond to the same selective pressure. To determine whether evolutionary history affects trait-environment associations in a recently diverged lineage, we investigated within-species trait-environment associations in the white proteas, a closely related monophyletic group. We first used manovas to determine the relative importance of shared response to selection, evolutionary history and unique responses to selection on trait variation. We found that on average, similar associations to the environment across species explained trait variation, but that the species had different mean trait values. We also detected species-specific associations of traits with the environmental gradients. To identify the traits associated uniquely with the environment, we used a structural equation model. Our analysis showed that the species differed in how their traits were associated with each of the environmental variables. Further, in the cases of two root traits (root mass and root length/mass ratio), two species differed in the direction of their associations (e.g. populations in one species had heavier roots in warmer areas, and populations in the other species had lighter roots in warmer areas). Our study shows that even in a closely related group of species, evolutionary history may have an effect on both the size and direction of adaptations to the environment.     

人脑功能连通性研究进展

对人脑结构和功能的深入研究,已经要求脑成像技术不能仅仅局限于研究简单的脑功能定位问题,即寻找和定位与特定认知任务相关的某一块或者一组大脑皮层功能区,而必须研究分析各功能区间的动态功能连通和整合问题,即描述特定脑功能区域间的交互作用以及这些交互作用如何受认知任务的影响.已有几种非常规的脑成像技术和数据分析方法,包括时间相关性分析、心理生理交互作用(PPI)、结构方程模型(SEM)、动态因果模型(DCM)、弥散张量成像(DTI)等等,被成功用于人脑功能连通性和有效连通性的研究.脑功能连通性研究的发展,有利于深入理解人脑在系统水平上的动态运作方式,是今后认知神经科学发展的一个重要方向.     

林隙干扰和升温对小兴安岭红松和臭冷杉径向生长的影响

通过建立小兴安岭阔叶红松(Pinus koraiensis)林内林隙与非林隙红松、臭冷杉(Abies nephrolepis)轮宽年表,分析林隙干扰(微环境差异)和1980年后显著升温对树木径向生长的影响。结果表明:升温减缓了非林隙红松生长,却加快了林隙红松生长;升温后,非林隙红松受温度影响减弱,而林隙红松则增强,林隙和非林隙红松径向生长与帕默尔干旱指数(Palmer drought severity index,PDSI)均由负相关变为正相关;林隙干扰导致臭冷杉径向生长减缓,升温导致林隙与非林隙臭冷杉年生长量均下降了约50%,非林隙木对温度的负响应要高于林隙木;升温后,5—10月温度对非林隙木抑制作用明显,非生长季(1—5月)降水对非林隙臭冷杉的抑制作用加强,而对林隙臭冷杉则由抑制变为促进;PDSI与非林隙臭冷杉由升温前的负相关变为升温后的正相关,而林隙臭冷杉则负相关更显著;林隙干扰减少耐荫喜湿树木径向生长,而对阳性树种影响不大或略有增加;林隙木比非林隙木更易受外界环境变化的影响,林隙干扰可使喜湿耐荫树种提前适应暖干环境,以提高了对升温适应性;升温导致林隙木与非林隙木年轮气候响应差异变大。