柠条锦鸡儿肌动蛋白基因的克隆和表达稳定性分析

以几种豆科植物中肌动蛋白的氨基酸保守序列设计简并引物,采用RT—PCR结合RACE扩增技术,从柠条锦鸡儿叶片中克隆到一个编码肌动蛋白的基因,命名为CkACT。该基因cDNA全长为1655bp,开放阅读框1134bp,编码377个氨基酸。氨基酸比对分析表明,该基因编码的氨基酸与其他植物肌动蛋白基因具有较高的同源性。不同组织中的表达基本上一致,不同发育时期的基因表达相似,低温、NaCl、干旱和ABA处理后的表达强度没有明显差异,说明CkACT基因表达稳定。     

A PCA-based method for ancestral informative markers selection in structured populations

Identification of population structure can help trace population histories and identify disease genes. Structured association (SA) is a commonly used approach for population structure identification and association mapping. A major issue with SA is that its performance greatly depends on the informativeness and the numbers of ancestral informative markers (AIMs). Present major AIM selection methods mostly require prior individual ancestry information, which is usually not available or uncertain in practice. To address this potential weakness, we herein develop a novel approach for AIM selection based on principle component analysis (PCA), which does not require prior ancestry information of study subjects. Our simulation and real genetic data analysis results suggest that, with equivalent AIMs, PCA-based selected AIMs can significantly increase the accuracy of inferred individual ancestries compared with traditionally randomly selected AIMs. Our method can easily be applied to whole genome data to select a set of highly informative AIMs in population structure, which can then be used to identify potential population structure and correct possible statistical biases caused by population stratification.     

三峡库区消涨带特有濒危植物丰都车前Plantago fengdouensis的迁地保护

丰都车前(Plantago fengdouensis)为近年在三峡库区消涨带发现的一特有植物。通过多年的调查,发现该种仅分布于重庆市忠县、丰都县和巴南区等3个长江江心岛上,总共290株。随着三峡水库的逐步蓄水,丰都车前的自然分布区将于2006年全部水淹,使其成为因三峡工程建设而导致自然生境和野生居群全部毁灭的唯一的草本植物。为保护这一即将野外灭绝的稀有植物,在对其地理分布、生态学和群落学调查的基础上,对其形态特征、年生长周期和生殖值与同属植物车前(P.asiatica)和北美车前(P.virginica)进行了调查、试验和比较研究,表明丰都车前果期长、种子不适宜长距离传播和生殖值低以及长江水淹干扰是其狭域分布和数量稀少的主要原因。同时探讨了其迁地保护策略,并提出了下一步的研究和保护建议。     

湖北后河国家级自然保护区生物多样性及其保护对策Ⅱ.生物多样性保护现状、威胁及其对策

湖北后河自然保护区拥有丰富的生物多样性。为中国生物多样性三大关键地区之一的川东-湘鄂西关键地区的重要组成部分。但所处的贫困山区少数民族县长期以来以森工产业为其县域经济的主要支柱,长期的木材采伐和狩猎习俗曾对该保护区的生物多样性带来了严重破坏。自然保护区的建立使其生物多样性逐渐得到了有效保护,特别是升为国家级自然保护区后,生物多样性保护进入了一个新阶段。但该保护区的生物多样性依然面临多种威胁。保护区自身科学研究力量的薄弱和保护区面积相对较小,限制着该区域生物多样性的进一步研究和保护。进一步扩充保护区面积、引进科研力量并提升自身人员科研素质、协调并增强区内外社区共管是该区生物多样性得到进一步保护和恢复的当务之急。     

Ten polymorphic microsatellite markers in Michelia maudiae (Magnoliaceae)

? Premise of the study: Michelia maudiae is a threatened species in the Magnoliaceae. Microsatellite markers were developed and characterized in M. maudiae for further investigation of its conservation genetics. ? Methods and Results: Microsatellite markers were developed in M. maudiae using the Fast Isolation by AFLP of Sequences Containing Repeats protocol. Ten polymorphic microsatellites were assessed in two populations of M. maudiae. The number of alleles detected per locus varied from 1 to 8. Observed and expected heterozygosities ranged from 0.000 to 0.792 and from 0.000 to 0.826, respectively. Six primer pairs showed transferability in the two related species Michelia foveolata and Michelia chapensis. ? Conclusions: This set of microsatellite markers provides a useful tool for future studies of the conservation genetics of M. maudiae and other congeneric species.     

Non-covalent interaction of 2', 4', 5', 7'-tetrabromo-4, 5, 6, 7-tetrachlorofluorescein with proteins and its application

The interactions of 2', 4', 5', 7'-tetrabromo-4, 5, 6, 7-tetrachlorofluorescein (TBTCF) with BSA, ovalbumin (OVA) and poly-L-lysine (PLYS) at pH 3.70 have been investigated by combination of the spectral correction technique and the Langmuir isothermal adsorption. The active connection actions such as ion pairs, van der Waals' force, hydrogen bond, hydrophobic bond were proposed to explain the non-covalent interaction between TBTCF and BSA, OVA and PLYS. Effects of the electrolyte and high temperature indicated that union of the active connections between TBTCF and BSA and OVA was too firm to be destroyed. The relationship between the binding number of TBTCF and variety fraction of the amino acid residues was analyzed. The binding number of TBTCF depended on the number of positively charged amino acid residues. The other amino acid residues surrounded and seized TBTCF by hydrogen bonds and hydrophobic bonds when the electrostatic attraction pulled TBTCF to link protein. In addition, a novel method named the absorbance ratio difference was established for determination of protein in trace level and was applied with much higher sensitivity than the ordinary method.     

LOD Score Exclusion Analyses for Candidate QTLs using Random Population Samples

While extensive analyses have been conducted to test for, no formal analyses have been conducted to test against, the importance of candidate genes as putative QTLs using random population samples. Previously, we developed an LOD score exclusion mapping approach for candidate genes for complex diseases. Here, we extend this LOD score approach for exclusion analyses of candidate genes for quantitative traits. Under this approach, specific genetic effects (as reflected by heritability) and inheritance models at candidate QTLs can be analyzed and if an LOD score is < or = -2.0, the locus can be excluded from having a heritability larger than that specified. Simulations show that this approach has high power to exclude a candidate gene from having moderate genetic effects if it is not a QTL and is robust to population admixture. Our exclusion analysis complements association analysis for candidate genes as putative QTLs in random population samples. The approach is applied to test the importance of Vitamin D receptor (VDR) gene as a potential QTL underlying the variation of bone mass, an important determinant of osteoporosis.     

THE DETERMINATION OF GENETIC COVARIANCES AND PREDICTION OF EVOLUTIONARY TRAJECTORIES BASED ON A GENETIC CORRELATION MATRIX

There is much interest in measuring selection, quantifying evolutionary constraints, and predicting evolutionary trajectories in natural populations. For these studies, genetic (co)variances among fitness traits play a central role. We explore the conditions that determine the sign of genetic covariances and demonstrate a critical role of selection in shaping genetic covariances. In addition, we show that genetic covariance matrices rather than genetic correlation matrices should be characterized and studied in order to infer genetic basis of population differentiation and/or to predict evolutionary trajectories.     

Linkage exclusion analysis of two important chromosomal regions for height

Adult height (stature), as an important parameter of human physical development, has been studied in many populations. Recently, we reported a whole genome scan of height on a sample of 630 Caucasian subjects from 53 human pedigrees. Two chromosome regions, 6q24-25 and 7q31.3-36, achieved low linkage signals (multipoint LOD score 0.5), but gained significant results in the linkage studies of height by other groups. In addition, the region 6q24-25 harbors the ER-alpha gene, an important candidate gene for linear growth. To resolve the controversies over these two regions for height, linkage exclusion analyses were performed in an extended sample of 79 pedigrees with 1816 subjects, which include the 53 pedigrees containing 630 subjects for our previous whole genome study and additional 128 new subjects, and 26 new pedigrees containing 1058 subjects. The two regions, 6q24-25 and 7q31.3-36, were excluded at a relative effect size of 10% or greater (p value < 0.0005) and 5% or greater (p value < 0.0018), respectively. Our results suggest that the two regions may not contribute substantially to height variation in our Caucasian population.     

Linkage exclusion analysis of two candidate regions on chromosomes 7 and 11: leptin and UCP2/UCP3 are not QTLs for obesity in US Caucasians

Leptin (LEP) and the uncoupling proteins 2 and 3 (UCP2/UCP3) are key molecules involved in the regulation of food intake and energy expenditure. However, their contribution to variation of obesity phenotypes in the general population remains controversial. The present study is to investigate whether chromosomal regions 7q and 11q, which contain LEP and UCP2/UCP3, respectively, can be excluded for linkage with obesity phenotypes. The obesity phenotypes include body mass index (BMI), fat mass, and percentage fat mass (PFM), with the latter two measured by dual-energy X-ray absorptiometry. We conducted exclusion linkage analyses using a variance component approach in a sample of 1816 individuals coming from 79 extended Caucasian pedigrees. In this study, we were able to exclude chromosomal region 7q containing LEP as having an effect on fat mass and PFM at effect sizes of 5% or greater, and on BMI at effect sizes of 10% or greater. We were able to exclude chromosomal region 11q containing UCP2/UCP3 as having an effect on fat mass and PFM at effect sizes of 10% or greater, and on BMI at effect sizes of 5% or greater. Our results suggest that the LEP and UCP2/UCP3 genes are unlikely to have a substantial effect on variation in obesity phenotypes in this particular US Caucasian population.