An empirical relationship between rotational correlation time and solvent accessible surface area

Structure–dynamics interrelationships are important in understanding protein function. We have explored the empirical relationship between rotational correlation times (_c and the solvent accessible surface areas (SASA) of 75 proteins with known structures. The theoretical correlation between SASA and _c through the equation SASA = K_rc ^(2/3) is also considered. SASA was determined from the structure, _c ^calc was determined from diffusion tensor calculations, and _c ^expt was determined from NMR backbone¹³ C or ¹⁵N relaxation rate measurements. The theoretical and experimental values of _c correlate with SASA with regression analyses values of K_r as 1696 and 1896 m²s^-(2/3), respectively, and with corresponding correlation coefficients of 0.92 and 0.70.     

Environmental change and the phenology of European aphids

Aphids, because of their short generation time and low developmental threshold temperatures, are an insect group expected to respond particularly strongly to environmental changes. Forty years of standardized, daily data on the abundance of flying aphids have been brought together from countries throughout Europe, through the EU Thematic Network 'EXAMINE'. Relationships between phenology, represented by date of first appearance in a year in a suction trap, of 29 aphid species and environmental data have been quantified using the residual maximum likelihood (REML) methodology. These relationships have been used with climate change scenario data to suggest plausible changes in aphid phenology. In general, the date of first record of aphid species in suction traps is expected to advance, the rate of advance varying with location and species, but averaging 8 days over the next 50 years. Strong relationships between aphid phenology and environmental variables have been found for many species, but they are notably weaker in species living all year on trees. Canonical variate analysis and principal coordinate analysis were used to determine ordinations of the 29 species on the basis of the presence/absence of explanatory variables in the REML models. There was strong discrimination between species with different life cycle strategies and between species feeding on herbs and trees, suggesting the possible value of trait-based groupings in predicting responses to environmental changes.     

Deciphering preferential interactions within supramolecular protein complexes: the proteasome case

In eukaryotic cells, intracellular protein breakdown is mainly performed by the ubiquitin–proteasome system. Proteasomes are supramolecular protein complexes formed by the association of multiple sub-complexes and interacting proteins. Therefore, they exhibit a very high heterogeneity whose function is still not well understood. Here, using a newly developed method based on the combination of affinity purification and protein correlation profiling associated with high-resolution mass spectrometry, we comprehensively characterized proteasome heterogeneity and identified previously unknown preferential associations within proteasome sub-complexes. In particular, we showed for the first time that the two main proteasome subtypes, standard proteasome and immunoproteasome, interact with a different subset of important regulators. This trend was observed in very diverse human cell types and was confirmed by changing the relative proportions of both 20S proteasome forms using interferon-γ. The new method developed here constitutes an innovative and powerful strategy that could be broadly applied for unraveling the dynamic and heterogeneous nature of other biologically relevant supramolecular protein complexes.     

Variability in reproductive traits in Jatropha curcas L. accessions during early developmental stages under warm subtropical conditions

Variability in floral, fruit, and seed characteristics, and oil content of 15 accession of Jatropha curcas during early development were assessed during two flowering periods in south Florida subtropical climate. The two flowering periods had leaf flushing in March. Field evaluation using 18 quantitative traits showed significant variation among accessions. The number of female flowers and female : male flower ratio ranged from 1 to 15 and 1 : 8.8 to 1 : 67.8, respectively. Fruit set by natural pollination was 89 and 66% during the first (1st) and second (2nd) flowering periods, respectively. A higher number of female‐type inflorescences were observed during summer. There were significant differences in seed traits, except for number of seeds per fruit. Accession TREC 31 had the highest individual seed dry weight and 100‐seed weight (0.83 g and 79.7 g, respectively). The oil content varied from 19.30% to 35.62%. Seed dry weight had positive correlation with seed fresh weight, seed length, seed thickness, seed width, and 100‐seed weight, but negative correlation with oil content. Based on the cluster analysis using 15 morphological traits, jatropha accessions were grouped into five main clusters and accessions from different geographic regions grouped together in a cluster. Principal component analyses (PCA) revealed morphological variation. The first three components explained 73.5% of the total variation and seed dry weight, 100‐seed weight, total flowers per inflorescence, male flowers per inflorescence and fruit set can be used to distinguish accessions. The PCA also indicated that flowering traits were more influenced by seed origin while seed traits were affected by flowering spans. Although evaluations were performed in plants during the juvenile phase, accessions TREC 31 and TREC 55 had superior averages for almost all characters evaluated. These results provide a preliminary assessment of the high variability in jatropha accessions evaluated and their potential for use in breeding and genetic improvement programs.     

A sensitive assay of mercury using fluorescence correlation spectroscopy of gold nanoparticles

We described a new and sensitive method for the determination of mercury ions (Hg²⁺) on the basis of fluorescence correlation spectroscopy (FCS) and recognition of oligonucleotides. In this assay, 30‐nm gold nanoparticles (GNPs) were modified with oligonucleotides containing thymine bases (T) as fluorescent probes, and the principle of this assay was based on the specific binding of Hg²⁺ by two DNA thymine bases. When two GNPs labelled with different oligonucleotides were mixed with a sample containing Hg²⁺, the T‐Hg²⁺‐T binding reaction should cause GNPs to form dimers (or oligomers), which would lead to a significant increase in the characteristic diffusion time of GNPs in the detection volume. The FCS method is a single molecule detection method and can sensitively detect the change in the characteristic diffusion time of GNPs before and after binding reactions. The quantitative analysis was performed according to the relation between the change in the characteristic diffusion time of GNPs and the concentration of Hg²⁺. Under optimal conditions, the linear range of this method was from 0.3 nM to 100 nM, and the detection limit was 0.14 nM for Hg²⁺. This new method was successfully applied for direct determination of Hg²⁺ levels in water and cosmetics samples. Copyright © 2014 John Wiley & Sons, Ltd.     

Are we underestimating the genetic variances of dimorphic traits?

Populations often contain discrete classes or morphs (e.g., sexual dimorphisms, wing dimorphisms, trophic dimorphisms) characterized by distinct patterns of trait expression. In quantitative genetic analyses, the different morphs can be considered as different environments within which traits are expressed. Genetic variances and covariances can then be estimated independently for each morph or in a combined analysis. In the latter case, morphs can be considered as separate environments in a bivariate analysis or entered as fixed effects in a univariate analysis. Although a common approach, we demonstrate that the latter produces downwardly biased estimates of additive genetic variance and heritability unless the quantitative genetic architecture of the traits concerned is perfectly correlated between the morphs. This result is derived for four widely used quantitative genetic variance partitioning methods. Given that theory predicts the evolution of genotype‐by‐environment (morph) interactions as a consequence of selection favoring different trait combinations in each morph, we argue that perfect correlations between the genetic architectures of the different morphs are unlikely. A sampling of the recent literature indicates that the majority of researchers studying traits expressed in different morphs recognize this and do estimate morph‐specific quantitative genetic architecture. However, ca. 16% of the studies in our sample utilized only univariate, fixed‐effects models. We caution against this approach and recommend that it be used only if supported by evidence that the genetic architectures of the different morphs do not differ.     

Indirect selection of thermal tolerance during experimental evolution of Drosophila melanogaster

Natural selection alters the distribution of a trait in a population and indirectly alters the distribution of genetically correlated traits. Long‐standing models of thermal adaptation assume that trade‐offs exist between fitness at different temperatures; however, experimental evolution often fails to reveal such trade‐offs. Here, we show that adaptation to benign temperatures in experimental populations of Drosophila melanogaster resulted in correlated responses at the boundaries of the thermal niche. Specifically, adaptation to fluctuating temperatures (16–25°C) decreased tolerance of extreme heat. Surprisingly, flies adapted to a constant temperature of 25°C had greater cold tolerance than did flies adapted to other thermal conditions, including a constant temperature of 16°C. As our populations were never exposed to extreme temperatures during selection, divergence of thermal tolerance likely reflects indirect selection of standing genetic variation via linkage or pleiotropy. We found no relationship between heat and cold tolerances in these populations. Our results show that the thermal niche evolves by direct and indirect selection, in ways that are more complicated than assumed by theoretical models.     

棉田非靶标害虫发生丰度与气象因子的关联性分析

【背景】近年来,全球气候条件不断变化,其对农田生态系统和病虫草害发生的影响较大。【方法】于2009~2013年在河南安阳田间小区系统调查了转基因棉田和非转基因棉田主要害虫种群丰度,结合5年间本地气象因素,分段分析了影响棉田主要害虫发生的关键气象因子及其关键影响时期。【结果】不同害虫发生危害的关键气象因子及其关键影响时期不同,且不同害虫种群丰度与气象因子及其影响时期有不同的相关性。影响棉蚜的关键性气象因子是1~8月的平均气温,与相对湿度和降雨量相关性较低;影响棉叶蝉的关键气象因子是1~4月的降雨量,其次是1~8月的相对湿度,而平均气温与其相关性很低;5~8月降雨量对烟粉虱有一定的抑制作用,平均气温和相对湿度对其无显著影响;影响棉蓟马的关键气象因子是平均气温,其次是5~8月相对湿度,降雨量与棉蓟马丰度相关性较低;平均气温、相对湿度和降雨量与盲蝽种群丰度的相关性很低,其发生危害可能是多种气象因子协同作用的结果。【结论与意义】本研究结果可为气候变化条件下棉田主要害虫的预测预报和防御提供理论依据。     

13种栎属植物叶片的气孔特征及其相关性分析和分类学意义

以13种栎属(Quercus Linn.)植物〔包括产自辽宁省的槲栎组(Sect. Quercus)8种和麻栎组(Sect. Aegilops)2种以及引自北美洲的沼生栎组(Sect. Erythobalanus)2种和引自波兰的白栎组(Sect. Lepidabalanus)1种〕为试材,观察了这些种类叶片的气孔形态,并分析了气孔器和气孔的形态参数,还对各形态参数间的相关性进行了分析;在此基础上,对13种栎属植物进行了聚类分析。结果表明：栎属植物叶片的气孔仅分布于下表皮;气孔器排列属无规则型;气孔保卫细胞呈肾形,内壁加厚;气孔下陷,呈椭圆形或狭长椭圆形。供试种类的气孔和气孔器的形态参数差异明显,变异系数差异较大;气孔器的长轴长度、短轴长度和面积分别为18.24~27.46μm、14.63~23.18μm和221.56~501.70μm2,变异系数分别为7.73%~15.90%、7.10%~17.44%和14.13%~32.73%,气孔器指数为0.73~0.85;气孔的长轴长度、短轴长度、面积和密度分别为8.69~15.41μm、1.94~8.49μm、15.15~104.93μm2和462.32~984.44 mm-2,变异系数分别为12.03%~22.17%、13.65%~34.10%、27.95%~54.13%和8.10%~16.99%,气孔指数为0.22~0.57;总体上,按照多数气孔器和气孔参数从大至小的变化趋势依次排序为沼生栎组、白栎组、麻栎组、槲栎组。相关性分析结果表明：供试种类的气孔密度与气孔器和气孔的长轴及短轴长度均呈极显著(P<0.01)负相关;气孔器面积与气孔器指数和气孔指数分别呈极显著和显著(P<0.05)正相关;气孔面积与气孔器和气孔的长轴和短轴长度、气孔器指数和气孔指数呈极显著正相关,但与气孔密度呈显著负相关。聚类分析结果表明：在欧氏距离10处可将13种栎属植物分为3类,第Ⅰ类包含槲栎组的8种,第Ⅱ类包含麻栎组和白栎组的3种,第Ⅲ类包含沼生栎组的2种。研究结果显示：栎属植物叶片的气孔特征具有一定的稳定性,可作为栎属植物组间分类及亲缘关系分析的依据之一。