Estimating phylogenetic inertia in Tithonia (Asteraceae): a comparative approach

Abstract.— Phylogenetic inertia is a difficult issue in evolutionary biology because we have yet to reach a consensus about how to measure it. In this study a comparative approach is used to evaluate phylogenetic inertia in 14 demographic and morphological characters in 10 species and one subspecies of the genus Tithonia (Asteraceae). Three different methods, autocorrelational analysis, phylogenetic correlograms, and ancestor-state reconstruction, were used to evaluate phylogenetic inertia in these traits. Results were highly dependent on the method applied. Autoregression and phylogenetic eigenvector regression (PVR) methods found more inertia in morphological traits. In contrast, phylogenetic correlograms and ancestor-state reconstruction suggest that morphological characters exhibit less phylogenetic inertia than demographic ones. The differences between results are discussed and methods are compared in an effort to understand phylogenetic inertia more thoroughly.     

一种等分作物花粉扩散圆形源区的方法

【背景】转基因作物花粉在大气中扩散会引起基因漂流,从而可导致不可预知的环境风险,运用模型预测可评估其花粉扩散状况、定量确定可靠的安全扩散距离。为了应用高斯烟羽模型应用于模拟转基因作物花粉在大气中的扩散浓度,提出了一种如何将半径为R的圆形花粉源区划分成许多等面积小面元的方法。【方法】通过数学推导,首次提出了各等面积面元中心点坐标的计算公式。【结果】根据在中国东北地区吉林省公主岭玉米花粉扩散和基因漂流的试验观测资料,将该公式应用到高斯烟羽扩散模型中,模拟了玉米花粉扩散到源区外不同距离处的浓度,对比花粉扩散模拟值与实测值,两者具有较好的一致性,表明应用该公式模拟花粉扩散能取得令人满意的效果。【结论与意义】分析证明这种推导划分半径为R的圆形花粉源区各面元中心点坐标的计算公式是可靠的,该方法可为应用高斯烟羽模型计算花粉源区内不同位置点单个源强对源区外某一距离处的花粉浓度的贡献提供便利。     

The influence of non‐climate predictors at local and landscape resolutions depends on the autecology of the species

Species distribution models have come under criticism for being too simplistic for making robust future forecasts, partly because they assume that climate is the main determinant of geographical range at large spatial extents and coarse resolutions, with non‐climate predictors being important only at finer scales. We suggest that this paradigm might be obscured by species movement patterns. To explore this we used contrasting kangaroo (family Macropodidae) case studies: two species with relatively small, stable home ranges (Macropus giganteus and M. robustus) and three species with more extensive, adaptive ranging behaviour (M. antilopinus, M. fuliginosus and M. rufus). We predicted that non‐climate predictors will be most influential to model fit and predictive performance at local spatial resolution for the former species and at landscape resolution for the latter species. We compared residuals autocovariate – boosted regression tree (RAC‐BRT) model statistics with and without species‐specific non‐climate predictors (habitat, soil, fire, water and topography), at local‐ and landscape‐level spatial resolutions (5 and 50 km). As predicted, the influence of non‐climate predictors on model fit and predictive performance (compared with climate‐only models) was greater at 50 compared with 5 km resolution for M. rufus and M. fuliginosus and the opposite trend was observed for M. giganteus. The results for M. robustus and M. antilopinus were inconclusive. Also notable was the difference in inter‐scale importance of climate predictors in the presence of non‐climate predictors. In conclusion, differences in autecology, particularly relating to space use, may contribute to the importance of non‐climate predictors at a given scale, not model scale per se. Further exploration of this concept across a range of species is encouraged and findings may contribute to more effective conservation and management of species at ecologically meaningful scales.     

Sensitivity analysis of coexistence in ecological communities: theory and application

Sensitivity analysis, the study of how ecological variables of interest respond to changes in external conditions, is a theoretically well‐developed and widely applied approach in population ecology. Though the application of sensitivity analysis to predicting the response of species‐rich communities to disturbances also has a long history, derivation of a mathematical framework for understanding the factors leading to robust coexistence has only been a recent undertaking. Here we suggest that this development opens up a new perspective, providing advances ranging from the applied to the theoretical. First, it yields a framework to be applied in specific cases for assessing the extinction risk of community modules in the face of environmental change. Second, it can be used to determine trait combinations allowing for coexistence that is robust to environmental variation, and limits to diversity in the presence of environmental variation, for specific community types. Third, it offers general insights into the nature of communities that are robust to environmental variation. We apply recent community‐level extensions of mathematical sensitivity analysis to example models for illustration. We discuss the advantages and limitations of the method, and some of the empirical questions the theoretical framework could help answer.     

严重急性呼吸综合征动物模型中血清因子的检测

严重急性呼吸综合征是一种新近出现的严重传染性疾病,病原体为一种新的冠状病毒。但其免疫病理的发病机制尚未阐明,我们用SARS病毒感染了恒河猴和leiws大鼠,经PCR和抗体检测,证明病毒在动物体内有复制。用酶连免疫吸附试验测量动物血清中白介素(IL)-6,白介素(IL)-10,γ-干扰素(INF),肿瘤坏死因子(TNF)-α的含量。结果显示,血清中IL-10和INF-γ的含量在感染前后无显著性差异。感染后动物体内IL-6显著升高,其含量与肺部病变程度呈正相关。TNF-α的含量降低。动物模型中血清免疫因子的测定避免了临床病人由于使用抗病毒药物和激素造成的干扰,对于我们了解免疫因子在SARS免疫病理发病机制的作用有一定帮助。     

植物数量性状遗传体系的分离分析方法研究

在传统的数量性状多基因遗传模型基础上提出主基因-多基因遗传模型具普遍性,纯主基因或纯多基因遗传模型只是其特例。由此初步建立了植物数量性状遗传体系分离分析方法。目前该方法可以检验2～3个主基因的个别遗传效应、多基因整体的遗传效应和两者的遗传率。本文介绍这种分离分析方法的研究经过、主要进展及应用效果,并以实例说明其分析步骤、方法和效果。     

Living on the Edge: Viability of Moose in Northeastern Minnesota

ABSTRACT North temperate species on the southern edge of their distribution are especially at risk to climate-induced changes. One such species is the moose (Alces alces), whose continental United States distribution is restricted to northern states or northern portions of the Rocky Mountain cordillera. We used a series of matrix models to evaluate the demographic implications of estimated survival and reproduction schedules for a moose population in northeastern Minnesota, USA, between 2002 and 2008. We used data from a telemetry study to calculate adult survival rates and estimated calf survival and fertility of adult females by using results of helicopter surveys. Estimated age- and year-specific survival rates showed a sinusoidal temporal pattern during our study and were lower for younger and old-aged animals. Estimates of annual adult survival (when assumed to be constant for ages >1.7 yr old) ranged from 0.74 to 0.85. Annual calf survival averaged 0.40, and the annual ratio of calves born to radiocollared females averaged 0.78. Point estimates for the finite rate of increase (λ) from yearly matrices ranged from 0.67 to 0.98 during our 6-year study, indicative of a long-term declining population. Assuming each matrix to be equally likely to occur in the future, we estimated a long-term stochastic growth rate of 0.85. Even if heat stress is not responsible for current levels of survival, continuation of this growth rate will ultimately result in a northward shift of the southern edge of moose distribution. Population growth rate, and its uncertainty, was most sensitive to changes in estimated adult survival rates. The relative importance of adult survival to population viability has important implications for harvest of large herbivores and the collection of information on wildlife fertility.     

A deficiency in the B cell response of C57BL/6 mice correlates with loss of macrophage-mediated killing of Leishmania amazonensis

Infection of C3HeB/FeJ and C57BL/6 mice with Leishmania major stimulates a healing cell-mediated immune response, while Leishmania amazonensis infection leads to chronic disease. Here we show C3HeB/FeJ mice co-infected with both species of Leishmania heal, while co-infected C57BL/6 mice do not. Using an in vitro killing assay we determined B cells from infected C57BL/6 mice are ineffective in promoting parasite killing compared with B cells from infected C3HeB/FeJ mice. Furthermore, infected C57BL/6 mice produce less antigen-specific antibodies compared with infected C3HeB/FeJ mice. These findings suggest B cells play a required role in the cell-mediated immune response against L. amazonensis.     

EYA1 mutations associated with the branchio‐oto‐renal syndrome result in defective otic development in Xenopus laevis

Background information. The BOR (branchio‐oto‐renal) syndrome is a dominant disorder most commonly caused by mutations in the EYA1 (Eyes Absent 1) gene. Symptoms commonly include deafness and renal anomalies. Results. We have used the embryos of the frog Xenopus laevis as an animal model for early ear development to examine the effects of different EYA1 mutations. Four eya1 mRNAs encoding proteins correlated with congenital anomalies in human were injected into early stage embryos. We show that the expression of mutations associated with BOR, even in the presence of normal levels of endogenous eya1 mRNA, leads to morphologically abnormal ear development as measured by overall otic vesicle size, establishment of sensory tissue and otic innervation. The molecular consequences of mutant eya1 expression were assessed by QPCR (quantitative PCR) analysis and in situ hybridization. Embryos expressing mutant eya1 showed altered levels of multiple genes (six1, dach, neuroD, ngnr‐1 and nt3) important for normal ear development. Conclusions. These studies lend support to the hypothesis that dominant‐negative effects of EYA1 mutations may have a role in the pathogenesis of BOR.