Principal component analysis of gene frequencies of Chinese populations

Principal components (PCs) were calculated based on gene frequencies of 130 alleles at 38 loci in Chinese populations, and geographic PC maps were constructed. The first PC map of the Han shows the genetic difference between Southern and Northern Mongoloids, while the second PC indicates the gene flow between Caucasoid and Mongoloids. The first PC map of the Chinese ethnic minorities is similar to that of the second PC map of the Han, while their second PC map is similar to the first PC map of the Han. When calculating PC with the gene frequency data from both the Han and ethnic minorities, the first and second PC maps most resemble those of the ethnic minorities alone. The third and fourth PC maps of Chinese populations may reflect historical events that allowed the expansion of the populations in the highly civilized regions. A clear-cut boundary between Southern and Northern Mongoloids in the synthetic map of the Chinese populations was observed in the zone of the Yangtze River. We suggest that the ancestors of Southern and Northern Mongoloids had already separated before reaching Asia. The ancestors of the Southern Mongoloids may result from the initial expansion from Africa or the Middle East, via the south coast of Asia, toward Southeast Asia, and ultimately South China. Upon reaching the Yangtze River, they might even have crossed the river to occupy the nearby regions for a period of time. The ancestors of the Northern Mongoloids probably expanded from Africa via the Northern Pamirs, first went eastward, then towards the south to reach the Yangtze River. The expansion of the Northern Mongoloids toward the south of the Yangtze River happened only in the last 2 or 3 thousand years.     

Principal component analysis of gene frequencies and the origin of Basques

The genetic peculiarity of the Basque population has long been noted. We aim to describe Basque distinctiveness in space and assess the internal Basque heterogeneity. All these aspects are relevant to the question of the origin of Basques. After a thorough literature search, a data base was created containing all the available data on gene frequencies in the Iberian Peninsula and France. Twenty-nine systems, comprising 71 alleles, were used to carry out a principal component (PC) analysis. The results show a sharp peak in the first PC in the Basque area, which remains even when the geographic scope is widened to include western Europe. As demonstrated by “wombling” analysis, the steeper slope in the first PC is found to the east of the Basque area, along the Pyrenees. Measures of genetic heterogeneity (such as F_ST values) within the Basque country, as compared to those for non-Basques, do not show a particular internal substructuration in the Basque population. The genetic results support a scenario in which the Basques are the product of in situ differentiation around the time of the Last Glacial Maximum (18,000 B .P .), in agreement with archaeological and linguistic data. Isolation from the surrounding populations has allowed the differentiation to last for millennia, but has erased the differences existing among Basques. © 1994 Wiley-Liss, Inc.     

Genetic distances between Chinese populations calculated on gene frequencies of 38 loci

Genetic distances were calculated for Han subpopulations in different provinces, cities and au-tonomous regions and ethnic minorities in China by using gene frequency data of 38 loci, and genetic trees were con-structed. The results showed that, among both Han and ethnic minorities, there were two types, i.e. southern and northern Mongoloids, with Yangtze River as boundary. Therefore, both African origin theory and local origin theory about the modern man should answer the question; when did these two types separate and how did they develop. This paper also conclusively proved genetically that the Han subpopulations in different regions are genetically close to the lo-cal ethnic minorities, which indicates that much blood of ethnic minorities has mixed into Han, at the same time, some blood of Han also has mixed into the local ethnic minorities.     

Methylenetetrahydrofolate reductase gene polymorphisms in 13 Chinese ethnic populations

It has been shown that the polymorphisms of Methylenetetrahydrofolate reductase (MTHFR) gene are associated with susceptibility to several disorders including hyperhomocysteinemia, vascular disease, birth defect, and certain cancers, and exhibit great diversities among various populations. The aim of this study was to investigate the prevalence of two common non-synonymous single nucleotide polymorphisms (i.e., C677T and A1298C) at MTHFR gene in 13 Chinese populations. A total of 1015 healthy individuals from 13 populations distributed widely from north to south in China were studied. DNA samples were isolated from peripheral blood samples and genotyped using polymerase chain reaction-restriction fragment length polymorphism. For C677T polymorphism, the frequency in Chinese of CC homozygous was 42.4%; CT heterozygous was 49.8%; and TT homozygous was 7.9%. For A1298C, AA homozygous was 39.2%; AC heterozygous was 38.6%; and CC homozygous was 22.2%. The allelic frequency of 677T and 1298C was 32.8 and 41.5%, respectively, and each allele frequency had significant variance in 13 Chinese populations. The frequency of the 677T allele among southern populations was 30.7% compared to 38.0% among northeastern and 30.5% among northwestern populations. The difference was statistically significant (p < 0.01). The frequency of 1298C mutation in southerns was 58.9% whereas in northeasterns it was 24.0% and 37.6% in northwesterns. This was also statistically significant (p < 0.01). The MTHFR C677T and A1298C sites were in linkage disequilibrium in the Chinese population revealed by our data.     

Principal component analysis for protein folding dynamics

Protein folding is considered here by studying the dynamics of the folding of the triple β-strand WW domain from the Formin-binding protein 28. Starting from the unfolded state and ending either in the native or nonnative conformational states, trajectories are generated with the coarse-grained united residue (UNRES) force field. The effectiveness of principal components analysis (PCA), an already established mathematical technique for finding global, correlated motions in atomic simulations of proteins, is evaluated here for coarse-grained trajectories. The problems related to PCA and their solutions are discussed. The folding and nonfolding of proteins are examined with free-energy landscapes. Detailed analyses of many folding and nonfolding trajectories at different temperatures show that PCA is very efficient for characterizing the general folding and nonfolding features of proteins. It is shown that the first principal component captures and describes in detail the dynamics of a system. Anomalous diffusion in the folding/nonfolding dynamics is examined by the mean-square displacement (MSD) and the fractional diffusion and fractional kinetic equations. The collisionless (or ballistic) behavior of a polypeptide undergoing Brownian motion along the first few principal components is accounted for.     

Principal component analysis of complex multijoint coordinative movements

Principal components analysis (PCA) has not been very much in vogue within the field of movement coordination even though it is useful to reduce data dimensionality and to reveal underlying data structures. Traditionally, studies of coordination between two joints have predominantly made use of relative phase analyses. This has resulted in the identification of principal constraints that govern the Central Nervous System’s organization and the control of coordination patterns. However, relative phase analyses on pairwise joints have some drawbacks because they are not optimal for revealing convergent patterns among multijoint coordination modes and for unraveling generic control strategies.In this paper, we present a method to analyze multijoint coordination based on the properties of PC, more specifically the eigenvalues and eigenvectors of the covariance matrix.The comparison between relative phase analysis and PCA shows that both provide similar and consistent results, underscoring the latter technique’s sensitivity to the study of coordination performance. In addition, it provides a method for automatic pattern detection as well as an index of performance for each joint within the context of the global coordination pattern.Finally, the merit of the PCA technique within the context of central pattern generators (CPG) will be discussed.     

Melanocortin－1 receptor gene variants in four Chinese ethnic populations

INTRODUCTIONThe variation in human hall and skin color in~ geographic regions of the world is the result Of differences in two Principal forms Of melanin,the red-yellow phaeomelalilns and the bldebrowneUmelanins, which are present in the epidermallayer of hUman skin and hair[1, 2]. The type ofmelanin Produced is under the control of two genes,identified initially by the mouse mutation, extension and agouti. The eXtension gene is expressedin melanocytes, Producillg the melanocyte stimul…     

Principal axis analysis of gene frequency data

When a set of populations are compared in respect of gene frequencies, and the chi-square test of heterogeneity is found to be significant, it is pertinent to find out whether the heterogeneity can be explained by a few linear combinations of the gene frequencies, and the total heterogeneity chi-square value can be partitioned as the sum of heterogeneity chi-square values contributed by the linear combinations. The present report describes such a method, and the linear combination that explains the maximum heterogeneity is called the principal axis. An application of this method is presented to find clusters of 31 Mongoloid tribal populations of eastern India using ABO gene frequency data.     

Principal component analysis for clustering gene expression data

MOTIVATION: There is a great need to develop analytical methodology to analyze and to exploit the information contained in gene expression data. Because of the large number of genes and the complexity of biological networks, clustering is a useful exploratory technique for analysis of gene expression data. Other classical techniques, such as principal component analysis (PCA), have also been applied to analyze gene expression data. Using different data analysis techniques and different clustering algorithms to analyze the same data set can lead to very different conclusions. Our goal is to study the effectiveness of principal components (PCs) in capturing cluster structure. Specifically, using both real and synthetic gene expression data sets, we compared the quality of clusters obtained from the original data to the quality of clusters obtained after projecting onto subsets of the principal component axes. RESULTS: Our empirical study showed that clustering with the PCs instead of the original variables does not necessarily improve, and often degrades, cluster quality. In particular, the first few PCs (which contain most of the variation in the data) do not necessarily capture most of the cluster structure. We also showed that clustering with PCs has different impact on different algorithms and different similarity metrics. Overall, we would not recommend PCA before clustering except in special circumstances.     

鹅膏属真菌形态特征的主成分与聚类分析

本研究选取了《中国真菌志·第二十七卷·鹅膏科》中27个物种及变种,对这些分类单元的菌托形状、菌褶颜色、担子大小等形态学特征进行统计,依据这些形态学特征进行主成分和聚类分析,得到各物种及变种与各个形态学特征之间的关联程度。通过聚类分析将27个物种及变种分为四大类,最终结果与鹅膏属分类情况一致,验证了上述分析方法在鹅膏属分类研究领域具有可行性与准确性。     

Multivariate analysis of intraspecific responses to UV-B radiation in white clover (Trifolium repens L.)

White clover (Trifolium repens L.) is experiencing increased levels of ultraviolet‐B (UV‐B) radiation in temperate pastures due to the depletion of the stratospheric ozone layer. Based on 17 morphological, morphogenetic and physiological attributes, this study analysed the consequences of enhanced UV‐B on 26 white clover populations using principal components analysis (PCA). After 18 d of exposure to 13·3 kJ m ^{? 2} d ^{? 1} UV‐B in controlled environments, UV‐B significantly decreased above‐ground and below‐ground plant growth attributes, epidermal cell surface area and maximum quantum efficiency of photosystem II photochemistry (F_v/F_m). Aspects of cell division and cell expansion both were negatively affected by UV‐B. Stomatal density, specific leaf mass, root‐to‐shoot ratio and levels of UV‐B‐absorbing compounds increased in response to UV‐B. In the multivariate analysis, the main dimension of UV‐B sensitivity was characterized by changes in plant growth attributes. Alterations in partitioning within and between plant organs constituted a secondary tier of UV‐B responsiveness. Plant characteristics related to UV‐B tolerance included lower growth rate, smaller epidermal cell surface area and higher UV‐B‐induced levels of UV‐B‐absorbing compounds. The results suggest overall UV‐B tolerance for slower‐growing populations from less productive habitats with higher natural UV‐B irradiance.     

8个合成群体改良玉米杂交种郑单958的育种潜力分析

玉米群体含有有利等位基因, 可作为改良杂交种的优异种质。针对持续改良我国主要玉米杂交种郑单958产量性状和商品品质的需求, 文章以8个合成群体为供体, 郑单958亲本自交系为受体, 组配16个测交组合。2009和2010年分别在北京顺义和河南新乡测量产量和籽粒容重。4个遗传参数评价显示, 合成群体可以作为新的有利等位基因供体改良杂交种性状, 其中WBMC-4和陕综3号两个群体具有同时改良杂交种产量和籽粒容重的潜力, 可分别用于改良亲本自交系郑58和昌7-2, 以及拓宽我国主要玉米类群PA和四平头的种质基础。     

Genetic relationship of Chinese ethnic populations revealed by mtDNA sequence diversity

The origin and demographic history of the ethnic populations of China have not been clearly resolved. In this study, we examined the hypervariable segment I sequences (HVSI) of the mitochondrial DNA control region in 372 individuals from nine Chinese populations and one northern Thai population. A relatively high percentage of individuals was found to share sequences with those from other populations of the same ethnogenesis. In general, the populations of southern or Pai-Yuei tribal origin showed high haplotype diversity and nucleotide diversity compared with the populations of northern or Di-Qiang tribal origin. Mismatch distributions from these populations showed concordant features. All except the northern groups Nu, Lisu, Tibetan, and Mongolian showed typical signatures of ancient population expansions in the mismatch distributions and neutrality tests. Episodes of extreme size reduction in the past are one of the likely explanations for the absence of evidence of expansion in northern populations. Small sample sizes as well as samples from isolated subpopulations contributed to the bumpy mismatch distributions observed. Phylogenetic analysis and haplotype sharing among populations suggest that current mtDNA variation in these ethnic populations could reveal their ethnohistory to some extent, but in general, linguistic and geographic classifications of the populations did not agree well with classification by mtDNA variation.     

Principal components analysis of protein structure ensembles calculated using NMR data

One important problem when calculating structures of biomolecules from NMR data is distinguishing converged structures from outlier structures. This paper describes how Principal Components Analysis (PCA) has the potential to classify calculated structures automatically, according to correlated structural variation across the population. PCA analysis has the additional advantage that it highlights regions of proteins which are varying across the population. To apply PCA, protein structures have to be reduced in complexity and this paper describes two different representations of protein structures which achieve this. The calculated structures of a 28 amino acid peptide are used to demonstrate the methods. The two different representations of protein structure are shown to give equivalent results, and correct results are obtained even though the ensemble of structures used as an example contains two different protein conformations. The PCA analysis also correctly identifies the structural differences between the two conformations.     

Comparing the frequencies of restriction fragment length polymorphisms for dystrophin gene in Chinese with those from Japanese and Caucasian populations

The restriction fragment length polymorphisms distribution and frequency of dystrophin gene in Chinese were studied by using 14 subclones of the entire 14kb cDNA for the dystrophin as hybridization probes. Allelic fragments were detected in hybridization patterns of PvuⅡ/la, Taq Ⅰ/2b-3, Taq Ⅰ/5b-7, and Xba Ⅰ/10. Among them, the allelic fragments (26kb and 3.8kb) in PvuⅡ/2b-3 pattern and the allelic fragments (10.0kb and 8.4kb) in Taq Ⅰ/5b-7 patterns had never been reported previously. Compared with the data from Caucasians and Japanese, it indicated that there was a significant difference (P<0.01) of the allelic fragment frequency in Taq Ⅰ/2b-3 and Xba Ⅰ/10 patterns between Chinese and Caucasians. The frequencies of allelic fragments A2 (5.6kb) in Taq Ⅰ/8 and A2 (10.Tkb) in EcoR Ⅴ/9 were high in Caucasians, yet had not been detected in Chinese, the differences were also highly significant. But in Chinese and Caucasians, the B1B2 allelic frequencies in Taq Ⅰ/5b-7 are the same. As to the frequency of the allelic fragments A1A2 and B1B2 in Pvu Ⅱ/la, there was no significant difference between Chinese and Japanese.     

河北省侧蒴藓类植物区系的主成分分析

根据较系统全面地野外调查、标本鉴定和整理,采用植物区系谱的主成分分析方法,对河北省侧蒴藓类植物区系进行了研究。结果表明;河北省侧蒴藓类植物共计196种(包括种以下单位),隶属于17科,66属。其中,北温带地理分布类型占主导地位,共计98种,占总种数的50．79％;东亚地理分布类型54种,占总种数的27．77％;中国特有分布类型16种,占总种数的8．38％;东亚—北美分布类型9种,占总种数的4．71％;旧世界温带分布类型9种,占总种数的4．71％;热带分布类型(包括泛热带分布类型和热带亚洲分布类型)仅有3种,占总种数的1．57％。运用植物区系谱的主成分分析对河北省与我国相邻地区侧蒴藓类植物关系的研究表明：西藏和横断山为一组,相异系数分别为31．9和43．5,与河北的联系相差最远;河北—东北—秦岭—内蒙古—山东为一组,内蒙古和山东在地理位置上与河北接壤,但相异系数分别达21．0和15．6,而河北与东北、秦岭相异系数分别为6．4和12．0,它们在区系关系上更为接近。分析结果对吴鹏程(1998)关于中国苔藓植物分布路线的观点以有力的支持,即存在喜马拉雅南麓地区—秦岭—东北的苔藓植物迁移路线;同时,说明大的山脉是苔藓植物进行扩散和传播的重要通道。