Comparison of variance within and between sibships in anthropometric traits of mexican migrant and sedente families

Variance between and within sibships in anthropometric traits was ascertained in a sample of Mexican families in the U.S.A. (migrants) and in Mexico (sedentes), by sex. The factor of age was eliminated by standardization. The siblings intraclass coefficient of correlation for the various traits by means of the one-way variance analysis manifested differences between the sexes in various anthropometric traits. Variance between sibships was found to be significantly higher than within sibships in all the traits in each sex, and both migrant and sedente sibships. This result, also noted in other groups, would seem to reflect a general population phenomenon.     

Accurate prediction of protein–protein interactions from sequence alignments using a Bayesian method

Accurate and large‐scale prediction of protein–protein interactions directly from amino‐acid sequences is one of the great challenges in computational biology. Here we present a new Bayesian network method that predicts interaction partners using only multiple alignments of amino‐acid sequences of interacting protein domains, without tunable parameters, and without the need for any training examples. We first apply the method to bacterial two‐component systems and comprehensively reconstruct two‐component signaling networks across all sequenced bacteria. Comparisons of our predictions with known interactions show that our method infers interaction partners genome‐wide with high accuracy. To demonstrate the general applicability of our method we show that it also accurately predicts interaction partners in a recent dataset of polyketide synthases. Analysis of the predicted genome‐wide two‐component signaling networks shows that cognates (interacting kinase/regulator pairs, which lie adjacent on the genome) and orphans (which lie isolated) form two relatively independent components of the signaling network in each genome. In addition, while most genes are predicted to have only a small number of interaction partners, we find that 10% of orphans form a separate class of ‘hub’ nodes that distribute and integrate signals to and from up to tens of different interaction partners.     

Hypothesis testing with the similarity index

Multilocus DNA fingerprinting methods have been used extensively to address genetic issues in wildlife populations. Hypotheses concerning population subdivision and differing levels of diversity can be addressed through the use of the similarity index (S), a band-sharing coefficient, and many researchers construct hypothesis tests with S based on the work of Lynch. It is shown in the present study, through mathematical analysis and through simulations, that estimates of the variance of a mean S based on Lynch's work are downwardly biased. An unbiased alternative is presented and mathematically justified. It is shown further, however, that even when the bias in Lynch's estimator is corrected, the estimator is highly imprecise compared with estimates based on an alternative approach such as 'parametric bootstrapping' of allele frequencies. Also discussed are permutation tests and their construction given the interdependence of Ss which share individuals. A simulation illustrates how some published misuses of these tests can lead to incorrect conclusions in hypothesis testing.     

Over‐expression of the murine polymeric immunoglobulin receptor gene in the mammary gland of transgenic mice

The polymeric immunoglobulin receptor (pIgR), a transmembrane protein, transports dimeric IgA (dIgA) across the epithelial cells of the mucosal surfaces into the external secretions, for example milk from the mammary glands. The pIgR is consumed during the transcytosis of dIgA and is cleaved at the apical side of the epithelial cells, regardless of the binding to its ligand (dIgA), to form secretory component (SC). We hypothesize that the expression level of the endogenous murine pIgR gene in the epithelial cells is ratelimiting for the transport of dIgA across the epithelial cells into the secretions. We address this key issue by generating transgenic mice overexpressing the pIgR gene in their mammary glands in order to examine the effect on dIgA levels in the milk. Here we report on the generation of transgenic mice and analysis of the expression level of pIgR in their mammary glands. We cloned and characterized the murine pIgR gene and constructed an expression cassette bearing the pIgR gene under the control of the regulatory sequences of the bovine _s1casein gene. Four transgenic lines were made, expressing the pIgR construct at RNA and protein level only in their mammary glands. The levels of the SC protein in the milk ranged from 0.1 to 2.7mg/ml during midlactation. These levels are 10–270 times higher than wildtype SC levels (0.01mg/ml).     

Effect of exercise modality on oxygen uptake kinetics during heavy exercise

The mechanisms responsible for the oxygen uptake (VO2) slow component during high-intensity exercise have yet to be established. In order to explore the possibility that the VO2 slow component is related to the muscle contraction regimen used, we examined the pulmonary VO2 kinetics during constant-load treadmill and cycle exercise at an exercise intensity that produced the same level of lactacidaemia for both exercise modes. Eight healthy subjects, aged 22-37 years, completed incremental exercise tests to exhaustion on both a cycle ergometer and a treadmill for the determination of the ventilatory threshold (defined as the lactate threshold, Th1a) and maximum VO2 (VO2max). Subsequently, the subjects completed two "square-wave" transitions from rest to a running speed or power output that required a VO2 that was halfway between the mode-specific Th1a and VO2max. Arterialised blood lactate concentration was determined immediately before and after each transition. The VO2 responses to the two transitions for each exercise mode were time-aligned and averaged. The increase in blood lactate concentration produced by the transitions was not significantly different between cycling [mean (SD) 5.9 (1.5) mM] and running [5.5 (1.6) mM]. The increase in VO2 between 3 and 6 min of exercise; (i.e. the slow component) was significantly greater in cycling than in running, both in absolute terms [290 (102) vs 200 (45) ml x min(-1); P<0.05] and as a proportion of the total VO2 response above baseline [10 (3)% vs 6 (1)%; P < 0.05]. These data indicate that: (a) a VO2 slow component does exist for high-intensity treadmill running, and (b) the magnitude of the slow component is less for running than for cycling at equivalent levels of lactacidaemia. The greater slow component observed in cycling compared to running may be related to differences in the muscle contraction regimen that is required for the two exercise modes.     

Staphylococcus aureus adhesion to bone matrix and bone-associated biomaterials

Staphylococcus aureus is a frequent cause of orthopedic infections in humans. The bacterium expresses several adhesins that facilitate bacterial binding to the bone matrix and to bone implant biomaterials coated with host plasma constituents. The relevant S. aureus adhesins are termed microbial surface components recognizing adhesive matrix molecules (MSCRAMMs) and specific MSCRAMMs are involved in bone and joint infections.     

Standard errors of heritabilities for forage breeding nurseries

Estimators for standard errors of heritability for two typical and complex forage breeding models are illustrated with estimates of variance and covariance components from least-squares and restricted maximum likelihood methods. The first experiment (Model 1) is a factorial design (two grazing management factors) with two layers of split plots (populations and grazing periods) and with plants within populations nested beneath the first split. The second model is for a sites pooling of randomized complete block experiments, with plants nested inside plots and with a split in time. One definition of heritability was applied to the plant habit character for both models in a red clover germplasm. Heritability estimates were statistically the same for the two methods for both models.     

福建山樱花形态多样性分化的研究

以闽、赣、粤、台4省13个种群292份福建山樱花种质为分析材料,对16个形态性状进行聚类分析和主成分分析。结果表明:福建山樱花不同个体间各性状均有明显差异,变异系数较大,优株选择潜力很大。系统聚类分析可将292份参试材料划分为2个表征群4个亚表征群,除重瓣型福建山樱花外,单瓣型福建山樱花的形态特征在种群间总体上无明显的分化规律,不同种群的个体交叉聚在同一个表征群内,但在同一亚表征群内,同一种群的多数个体常能聚在一起,表明种群之间在形态上发生了一定程度的分化,只是这种分化还不能清楚地区分不同的种群。主成分分析结果表明叶形、叶尖、叶缘、分枝能力、60 d苗高、花色和花形是造成福建山樱花形态分化的主要因素。     

Biplots for multifactorial analysis of distance

Many data sets in practice fit a multivariate analysis of variance (MANOVA) structure, but do not accord with MANOVA assumptions for their analysis. One way forward is to calculate the matrix of dissimilarities or distances between every pair of individuals, and then to conduct an analysis of distance on the resulting data. Various metric scaling plots can be used to interpret the results of the analysis. However, developments to date of this approach have focused mainly on the individuals in the sample, and little attention has been paid to the assessment of influence of the original variables on the results. The present article attempts to rectify this omission. We discuss the inclusion of biplots on all forms of metric scaling representations in the analysis of distance. Exact biplots will often be nonlinear so we propose a simple linear approximation, and contrast it with other simple linear possibilities. An example from ecology illustrates the methodology.