Control of variability

Genetic variability is an important component of the phenotypic variation within populations; however, there are often many other contributing factors, which receive little attention. Randomization techniques or grouping factors known to contribute to variability can do much to isolate, or at least accommodate, this variability. The European Centre for the Validation of Alternative Methods addressed some of these approaches in 1998, and others are considered in this article. However, laboratory animals are living beings that respond to scientific procedures, or indeed to subtle variations in husbandry conditions, which our senses do not equip us to comprehend readily. These variations may either bias our experimental results or introduce sufficient background noise to mask differences arising from the scientific procedures. In planning an experiment, it is important to devote adequate time considering such factors and developing appropriate strategies to handle them.     

Intraspecific variability modulates interspecific variability in animal organismal stoichiometry

Interspecific differences in organismal stoichiometry (OS) have been documented in a wide range of animal taxa and are of significant interest for understanding evolutionary patterns in OS. In contrast, intraspecific variation in animal OS has generally been treated as analytical noise or random variation, even though available data suggest intraspecific variability in OS is widespread. Here, we assess how intraspecific variation in OS affects inferences about interspecific OS differences using two co‐occurring Neotropical fishes: Poecilia reticulata and Rivulus hartii. A wide range of OS has been observed within both species and has been attributed to environmental differences among stream systems. We assess the contributions of species identity, stream system, and the interactions between stream and species to variability in N:P, C:P, and C:N. Because predation pressure can impact the foraging ecology and life‐history traits of fishes, we compare predictors of OS between communities that include predators, and communities where predators are absent. We find that species identity is the strongest predictor of N:P, while stream or the interaction of stream and species contribute more to the overall variation in C:P and C:N. Interspecific differences in N:P, C:P, and C:N are therefore not consistent among streams. The relative contribution of stream or species to OS qualitatively changes between the two predation communities, but these differences do not have appreciable effects in interspecific patterns. We conclude that although species identity is a significant predictor of OS, intraspecific OS is sometimes sufficient to overwhelm or obfuscate interspecific differences in OS.     

心电波形变异性的研究

与心率变异性作类比,本文提出了心电波形变异性（ECWV）的概念。通过相关系数、KL变换指标、“棋盘”映射等波形指标对心电波形变异性进行了量化研究。本文研究表明,一些ECWV指标能够区分精神负荷和非负荷两种状态。心电波形变异性蕴含了丰富的信息,对它的深入研究有着积极的意义。     

Self-similarity in variability of human heart variability at various stages of ontogenesis

We consider the potential of applying wavelet analysis to fluctuations found in physiological systems. We focus on cardiac interbeat interval time series (RR-intervals) from a group of young adults and children and fetus heart beat rate time series (antepartum cardiotocography), because the wavelet analysis of these heart rate dynamics may provide important practical diagnostic and prognostic information not obtainable with current approaches. We show that all the signals analyzed are self-similar and propose a method for estimating this scaling feature.     

Determinants of expression variability

The amount of tissue-specific expression variability (EV) across individuals is an essential characteristic of a gene and believed to have evolved, in part, under functional constraints. However, the determinants and functional implications of EV are only beginning to be investigated. Our analyses based on multiple expression profiles in 41 primary human tissues show that a gene’s EV is significantly correlated with a number of features pertaining to the genomic, epigenomic, regulatory, polymorphic, functional, structural and network characteristics of the gene. We found that (i) EV of a gene is encoded, in part, by its genomic context and is further influenced by the epigenome; (ii) strong promoters induce less variable expression; (iii) less variable gene loci evolve under purifying selection against copy number polymorphisms; (iv) genes that encode inherently disordered or highly interacting proteins exhibit lower variability; and (v) genes with less variable expression are enriched for house-keeping functions, while genes with highly variable expression tend to function in development and extra-cellular response and are associated with human diseases. Thus, our analysis reveals a number of potential mediators as well as functional and evolutionary correlates of EV, and provides new insights into the inherent variability in eukaryotic gene expression.     

Increased brain signal variability accompanies lower behavioral variability in development

As the brain matures, its responses become optimized. Behavioral measures show this through improved accuracy and decreased trial-to-trial variability. The question remains whether the supporting brain dynamics show a similar decrease in variability. We examined the relation between variability in single trial evoked electrical activity of the brain (measured with EEG) and performance of a face memory task in children (8–15 y) and young adults (20–33 y). Behaviorally, children showed slower, more variable response times (RT), and less accurate recognition than adults. However, brain signal variability increased with age, and showed strong negative correlations with intrasubject RT variability and positive correlations with accuracy. Thus, maturation appears to lead to a brain with greater functional variability, which is indicative of enhanced neural complexity. This variability may reflect a broader repertoire of metastable brain states and more fluid transitions among them that enable optimum responses. Our results suggest that the moment-to-moment variability in brain activity may be a critical index of the cognitive capacity of the brain.     

Intraspecific variability of Brachionus plicatilis

An extensive study of frontal margins of the lorica of Brachionus plicatilis was undertaken in an attempt to define its variability within this species. Specimens from mass cultures and from the natural environment were examined.     

Regulatory variability of camalexin biosynthesis

The anthranilate synthase ASA1, CYP79B2 and CYP71B15 (PAD3) are biosynthetic genes of the Arabidopsis phytoalexin camalexin, which are induced after pathogen infection and abiotic treatments like silver nitrate spraying. The natural variation of camalexin biosynthesis in response to Pseudomonas syringae infection was determined in several ecotypes, and differential CYP71B15 regulation as a potential basis for this variation was investigated. The expression of camalexin biosynthetic genes was restricted to the tissue undergoing cell death. After droplet infection with Alternaria alternata, a potent camalexin inducer in the Col-0 ecotype, camalexin formation and the induction of ASA1, CYP79B2 and CYP71B15 were strictly co-localized with the infection site.     

Statistical measures of intrasample variability

We have implemented a multivariate statistical methodology to assess the degree and pattern of variability in skeletal samples. Specifically, it is designed to test whether variability in a skeletal sample exceeds that of a local breeding population, defined in the present instance as variability present among crania from an endogamous village. It involves the use of covariance matrices derived from hypothesis and reference samples. The methodology has been applied to subsamples of a Plains Indian craniometric database consisting of 80 variables taken on some 1000 individuals. The subsamples are assumed to reflect varying patterns and degrees of intrasample variability. The assumed group structures are assembled posthoc and subject to various analyses. The excellent results attest to the great potential of the methodology.