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1.
Jonathan Schneider Jade Atallah Joel D. Levine 《Biological reviews of the Cambridge Philosophical Society》2017,92(2):1027-1038
The social environment modulates gene expression, physiology, behaviour and patterns of inheritance. For more than 50 years, this concept has been investigated using approaches that include partitioning the social component out of behavioural heritability estimates, studying maternal effects on offspring, and analysing dominance hierarchies. Recent advances have formalized this ‘social environment effect’ by providing a more nuanced approach to the study of social influences on behaviour while recognizing evolutionary implications. Yet, in most of these formulations, the dynamics of social interactions are not accounted for. Also, the reciprocity between individual behaviour and group‐level interactions has been largely ignored. Consistent with evolutionary theory, the principles of social interaction are conserved across a broad range of taxa. While noting parallels in diverse organisms, this review uses Drosophila melanogaster as a case study to revisit what is known about social interaction paradigms. We highlight the benefits of integrating the history and pattern of interactions among individuals for dissecting molecular mechanisms that underlie social modulation of behaviour. 相似文献
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目的:评价小鼠许旺细胞体外复合改性聚乳酸\聚羟基乙酸(PLA\PGA)的细胞活性及生物相容性。方法:转绿色荧光蛋白基
因(GFP)小鼠的许旺细胞传代培养至第2 代,然后通过MTT 检测在不同改性技术(H2O2、NaOH、NaClO4、K2CrO4及超声波)处理
的PLA\PGA 浸提液中许旺细胞的增殖情况,检测许旺细胞在PLA\PGA表面的黏附及其细胞形态。结果:于培养1 d,3 d测得在
不同改性技术处理的PLA\PGA浸提液OD值,1 天时,各浸提液组和对照组相比无显著性差异,许旺细胞的活力及增殖无影响。3
天时,经NaClO4及K2CrO4处理的PLA\PGA 与对照组相比具有统计学差异,影响许旺细胞的增殖,对许旺细胞有毒性;荧光显微
镜下观察到许旺细胞在改性PLA\PGA 表面逐渐伸展,形成伪足,最终粘附在材料表面。结论:经H2O2、NaOH 及超声波改性
PLA\PGA无细胞毒性,具有良好的生物相容性和黏附性,可以用于组织工程化神经的构筑。 相似文献
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Martin I. Lind Kylie Yarlett Julia Reger Mauricio J. Carter Andrew P. Beckerman 《Proceedings. Biological sciences / The Royal Society》2015,282(1816)
Phenotypic plasticity is the ability of a genotype to produce more than one phenotype in order to match the environment. Recent theory proposes that the major axis of genetic variation in a phenotypically plastic population can align with the direction of selection. Therefore, theory predicts that plasticity directly aids adaptation by increasing genetic variation in the direction favoured by selection and reflected in plasticity. We evaluated this theory in the freshwater crustacean Daphnia pulex, facing predation risk from two contrasting size-selective predators. We estimated plasticity in several life-history traits, the G matrix of these traits, the selection gradients on reproduction and survival, and the predicted responses to selection. Using these data, we tested whether the genetic lines of least resistance and the predicted response to selection aligned with plasticity. We found predator environment-specific G matrices, but shared genetic architecture across environments resulted in more constraint in the G matrix than in the plasticity of the traits, sometimes preventing alignment of the two. However, as the importance of survival selection increased, the difference between environments in their predicted response to selection increased and resulted in closer alignment between the plasticity and the predicted selection response. Therefore, plasticity may indeed aid adaptation to new environments. 相似文献
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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. 相似文献
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Sabine C. Mueller Bj?rn Sommer Christina Backes Jan Haas Benjamin Meder Eckart Meese Andreas Keller 《The Journal of biological chemistry》2016,291(4):1582-1590
Understanding the role of genetics in disease has become a central part of medical research. Non-synonymous single nucleotide variants (nsSNVs) in coding regions of human genes frequently lead to pathological phenotypes. Beyond single variations, the individual combination of nsSNVs may add to pathogenic processes. We developed a multiscale pipeline to systematically analyze the existence of quantitative effects of multiple nsSNVs and gene combinations in single individuals on pathogenicity. Based on this pipeline, we detected in a data set of 842 nsSNVs discovered in 76 genes related to cardiomyopathies, associated nsSNV combinations in seven genes present in at least 70% of all 639 patient samples, but not in a control cohort of healthy humans. Structural analyses of these revealed primarily an influence on the protein stability. For amino acid substitutions located at the protein surface, we generally observed a proximity to putative binding pockets. To computationally analyze cumulative effects and their impact, pathogenicity methods are currently being developed. Our approach supports this process, as shown on the example of a cardiac phenotype but can be likewise applied to other diseases such as cancer. 相似文献