Worldwide allele frequencies of the human apolipoprotein E gene: Climate,local adaptations,and evolutionary history

The ?4 allele of the apolipoprotein E (APOE) gene is associated with increased cholesterol levels and heart disease. Population allele frequencies of APOE have previously been shown to vary, with ?4 frequencies generally increasing with latitude. We hypothesize that this trend resulted from natural selection protecting against low‐cholesterol levels. In high‐latitude cold environments and low‐latitude hot environments, metabolic rate is elevated, which could require higher cholesterol levels. To explore this hypothesis, we compiled APOE allele frequencies, latitude, temperature, and elevation from populations around the world. ?4 allele frequencies show a curvilinear relationship with absolute latitude, with lowest frequencies found in the mid‐latitudes where temperatures generally require less expenditure on cooling/thermogenesis. Controlling for population structure in a subset of populations did not appreciably change this pattern of association, consistent with selection pressures that vary by latitude shaping ?4 allele frequencies. Temperature records also predict APOE frequency in a curvilinear fashion, with lowest ?4 frequencies at moderate temperatures. The model fit between historical temperatures and ?4 is less than between latitude and ?4, but strengthened after correcting for estimated temperature differences during the Paleolithic. Contrary to our hypothesis, we find that elevation did not improve predictive power, and an integrated measure of the cholesterol effect of multiple APOE alleles was less related to latitude than was ?4 alone. Our results lend mixed support for a link between past temperature and human APOE allele distribution and point to the need to develop better models of past climate in future analyses. Am J Phys Anthropol 143:13–20, 2010. © 2010 Wiley‐Liss, Inc.     

Novel SNPs of the Caprine Growth Hormone Secretagogue Receptor (GHSR) Gene and Their Association with Growth Traits in Goats

Growth hormone secretagogue receptor (GHSR), a G protein-coupled receptor that binds ghrelin, plays an important role in the central regulation of pituitary growth hormone secretion, food intake, and energy homeostasis. This study analyzed polymorphism of the caprine GHSR gene as a genetic marker candidate for growth traits in goats. Two single nucleotide polymorphisms (GU014697:g.165G→A and GU014697:g.548T→C) were identified in exon 2 of the caprine GHSR gene by PCR-single-strand conformation polymorphism and DNA sequencing methods. Their associations with growth traits were analyzed in 313 Xuhuai goats. The results indicated that GU014697:g.548T→C had significant effects on growth traits. Body length and body length index were significantly higher in individuals with genotype TT than CC and CT in (P < 0.05). TT individuals also tended to have better performance in other traits, such as body height and chest circumference, although there were no statistical differences (P > 0.05). This suggests that GHSR is a strong candidate gene that affects growth traits in goats.     

Trace detection of picloram using an electrochemical immunosensor based on three-dimensional gold nanoclusters

Picloram, a herbicide widely used for broadleaf weed control, is persistent and mobile in soil and water with adverse health and environmental effects. It is important to develop a sensitive method for accurate detection of trace picloram in the environment. In this article, a type of ordered three-dimensional (3D) gold (Au) nanoclusters obtained by two-step electrodeposition using the spatial obstruction/direction of the polycarbonate membrane is reported. Bovine serum albumin (BSA)-picloram was immobilized on the 3D Au nanoclusters by self-assembly, and then competitive immunoreaction with picloram antibody and target picloram was executed. The horseradish peroxidase (HRP)-labeled secondary antibody was applied for enzyme-amplified amperometric measurement. The electrodeposited Au nanoclusters built direct electrical contact and immobilization interface with protein molecules without postmodification and positioning. Under the optimal conditions, the linear range for picloram determination was 0.001-10 μg/ml with a correlation coefficient of 0.996. The detection and quantification limits were 5.0 × 10⁻⁴ and 0.0021 μg/ml, respectively. Picloram concentrations in peach and excess sludge supernatant extracts were tested by the proposed immunosensor, which exhibited good precision, sensitivity, selectivity, and storage stability.     

Ecological and geographic modes of species divergence in wild tomatoes

Understanding the role of geography and ecology in species divergence is central to the study of evolutionary diversification. We used climatic, geographic, and biological data from nine wild Andean tomato species to describe each species' ecological niche and to evaluate the likely ecological and geographical modes of speciation in this clade. Using data from >1000 wild accessions and publicly available data derived from geographic information systems for various environmental variables, we found most species pairs were significantly differentiated for one or more environmental variables. By comparing species' predicted niches generated by species distribution modeling (SDM), we found significant niche differentiation among three of four sister-species pairs, suggesting ecological divergence is consistently associated with recent divergence. In comparison, based on age-range correlation (ARC) analysis, there was no evidence for a predominant geographical (allopatric vs. sympatric) context for speciation in this group. Overall, our results suggest an important role for environmentally mediated differentiation, rather than simply geographical isolation, in species divergence.     

Linear Mixed Model Selection for False Discovery Rate Control in Microarray Data Analysis

Summary In a microarray experiment, one experimental design is used to obtain expression measures for all genes. One popular analysis method involves fitting the same linear mixed model for each gene, obtaining gene‐specific p‐values for tests of interest involving fixed effects, and then choosing a threshold for significance that is intended to control false discovery rate (FDR) at a desired level. When one or more random factors have zero variance components for some genes, the standard practice of fitting the same full linear mixed model for all genes can result in failure to control FDR. We propose a new method that combines results from the fit of full and selected linear mixed models to identify differentially expressed genes and provide FDR control at target levels when the true underlying random effects structure varies across genes.     

腹腔镜诊断子宫内膜异位症并联合药物治疗不孕症157例分析

目的:探讨运用腹腔镜诊断子宫内膜异位症,并观察通过手术联合药物治疗子宫内膜异位症的临床疗效.方法:回顾性分析157例子宫内膜异位症患者腹腔镜手术联合药物治疗后的临床资料.结果:不同期别子宫内膜位异症患者术后联合用药后完全缓解率为84.7%,半年复发率为1.9%,半年妊娠率为59.2%.结论:子宫内膜异位症腹腔镜手术后联合用药可有效降低复发率,提高受孕率.     

胃泌素释放肽受体与妇科肿瘤的诊断与治疗

胃泌素释放肽GRP(gastrin-releasing peptide,GRP)作为一种生长因子可以在许多肿瘤组织表达,GRP与肿瘤中的受体GRPR结合后,可启动一系列信号传导通路及基因调控机制,从而促进肿瘤细胞的增殖.GRPR在正常组织和肿瘤组织中的激活作用有重要的生长效应.且在恶性肿瘤中的表达比在正常的人体组织更为普遍.以GRPR作为靶向治疗已有一定的理论支持,但临床研究不多.本文着重要阐述的是关于GRPR与妇科肿瘤的诊断与治疗的关系并展望了其前景.     

'Genome order index' should not be used for defining compositional constraints in nucleotide sequences - a case study of the Z-curve

Background  

The Z-curve is a three dimensional representation of DNA sequences proposed over a decade ago and has been extensively applied to sequence segmentation, horizontal gene transfer detection, and sequence analysis. Based on the Z-curve, a "genome order index," was proposed, which is defined as S = a ²+ c ²+t ²+g ², where a, c, t, and g are the nucleotide frequencies of A, C, T, and G, respectively. This index was found to be smaller than 1/3 for almost all tested genomes, which was taken as support for the existence of a constraint on genome composition. A geometric explanation for this constraint has been suggested. Each genome was represented by a point P whose distance from the four faces of a regular tetrahedron was given by the frequencies a, c, t, and g. They claimed that an inscribed sphere of radius r = 1/ contains almost all points corresponding to various genomes, implying that S <r ². The distribution of the points P obtained by S was studied using the Z-curve.     

Detection of <Emphasis Type="Italic">Babesia divergens</Emphasis> in southern Norway by using an immunofluorescence antibody test in cow sera

Background  

The incidence of bovine babesiosis, caused by Babesia divergens (Apicomplexa: Piroplasmida) has decreased markedly since the 1930 s, but may re-emerge as a consequence of climate change and changes in legislation and pasturing practices. This is a potentially serious disease, with both economical and animal welfare consequences. Therefore, there is a need to survey the distribution of B. divergens.