叶绿体基因工程研究进展

叶绿体是植物细胞和真核藻类执行光合作用的重要细胞器,在叶绿体中表达外源基因比在细胞核中表达具有一些独特优势。叶绿体基因工程涉及叶绿体的基因组特征、转化系统的优点、转化过程及方法等方面,叶绿体基因工程在提高植物光合效率、改良植物特性、生产生物药物及改善植物代谢途径等方面已得到应用。尽管叶绿体基因工程还存在同质化难度高、标记基因转化效率较低、宿主种类偏少等问题,但作为外源基因在高等植物中表达的良好平台其仍然具有广阔的发展和应用前景。     

革兰阴性菌引起的血培养阳性标本直接细菌鉴定和药敏的应用

目的 评估血培养阳性标本直接细菌鉴定和药敏可行性.方法 将血培养瓶放入Bact/Alert 3D 60血培养系统进行培养筛选.选取78份含革兰阴性杆菌的阳性血培养瓶进行试验.抽取培养液,用BD真空分离管离心血细胞.在收集到足量菌液后,用VITEK-32革兰阴性菌鉴定药敏卡做直接鉴定药敏试验.用标准方法及亚培养后的鉴定药敏试验对直接鉴定药敏试验进行评估.结果 VITEK-32直接鉴定试验,78株中的74株(94.9％)准确鉴定,直接药敏试验标准符合率95.6％.KB法血标本直接药敏试验标准符合率96.2％,但微小错误率高于VITEK-32直接药敏法.结论 Bact/Alert血培养阳性标本直接VITEK-32细菌鉴定和药敏对革兰阴性菌是切实可行的,可大幅度缩短时间,为临床及时修正用药提供依据,具有较高的应用价值.     

一VHL 家系致病基因突变的检测与分析*

目的:研究中枢神经系统血管母细胞瘤(VHL)基因突变的主要类型和发生情况,探讨VHL疾病发生的原因、临床特点等。方法:以基因组DNA为模板,PCR扩增VHL基因3个外显子及5’UTR区域,结合DNA直接测序的方法,对一个有多个小脑血管母细胞瘤患者的家系进行VHL基因突变检测。结果:发现该家系VHL基因5’UTR区、外显子1和外显子2正常,外显子3存在c.499C>G的改变,为一个错意突变,氨基酸改变为Arg-Gln(p.R167Q),该突变是导致这个家系的患者发病的直接原因。结论:VHL疾病的突变主要集中在VHL蛋白的α、β结构域,位于α结构域的p.R167Q突变为该VHL家系致病的主要原因。     

自杀行为的生物遗传因素研究

自杀是我国15-34岁人群首位重要的死亡原因。自杀行为的发生与生物学、心理学、社会学等多种因素有关。研究表明自杀行为确有一定的遗传学基础,近年来自杀行为的生物遗传因素研究发现5-HT系统相关基因、儿茶酚胺氧位甲基转移酶基因、精胺/精脒乙酰转移酶基因等候选基因单核甘酸多态性与自杀行为有明显关联。有学者认为,自杀行为的遗传学基础可能是附加于精神疾病的遗传或家庭环境诱导所致。本文就近年来国内外有关自杀的主要相关基因研究发现作一综述。     

Divergence and Polymorphism Under the Nearly Neutral Theory of Molecular Evolution

The nearly neutral theory attributes most nucleotide substitution and polymorphism to genetic drift acting on weakly selected mutants, and assumes that the selection coefficients for these mutants are drawn from a continuous distribution. This means that parameter estimation can require numerical integration, and this can be computationally costly and inaccurate. Furthermore, the leading parameter dependencies of important quantities can be unclear, making results difficult to understand. For some commonly used distributions of mutant effects, we show how these problems can be avoided by writing equations in terms of special functions. Series expansion then allows for their rapid calculation and, also, illuminates leading parameter dependencies. For example, we show that if mutants are gamma distributed, the neutrality index is largely independent of the effective population size. However, we also show that such results are not robust to misspecification of the functional form of distribution. Some implications of these findings are then discussed.     

Genetic Diversity of Pto-Like Serine/Threonine Kinase Disease Resistance Genes in Cultivated and Wild Strawberries

Degenerate oligonucleotide primers, designed based on conserved regions of several serine-threonine kinases (STK) previously cloned in tomato and Arabidopsis, were used to isolate STK candidates in wild and cultivated strawberries. Seven distinct classes of STKs were identified from three related wild species, i.e., Fragaria vesca, Fragaria chiloensis, and Potentilla tucumanensis, and seven different Fragaria x ananassa cultivars. Alignment of the deduced amino acid sequences and the Pto R protein from tomato revealed the presence of characteristic subdomains and conservation of the plant STK consensus and other residues that are crucial for Pto function. Based on identity scores and clustering in phylogenetic trees, five groups were recognized as Pto-like kinases. Strawberry Pto-like clones presented sequences that were clearly identified as the activation segments contained in the Pto, and some of them showed residues previously identified as being required for binding to AvrPto. Some of the non-Pto-like kinases presented a high degree of identity and grouped together with B-lectin receptor kinases that are also involved in disease resistance. Statistical studies carried out to evaluate departure from the neutral theory and nonsynonymous/synonymous substitutions suggest that the evolution of STK-encoding sequences in strawberries is subjected mainly to a purifying selection process. These results represent the first report of Pto-like STKs in strawberry.     

Population genetic structure of the ascidian Styela rustica at Kongsfjorden, Svalbard, Arctic

The actual Arctic biota shows a strong affinity with that of the Boreal Atlantic and Pacific ones, as a result of an active recolonization process after the Quaternary glaciations. The geographic distribution of sessile species is usually linked to larvae dispersive capabilities which can be directly related with time spent in the plankton. Ascidians larvae are lecitothorphic and short-lived, which suggest that ascidians could be not efficient dispersers. However, the solitary ascidian Styela rustica (Linnaeus, 1767) (Tunicata, Ascidiacea) shows a wide distribution pattern from the North Atlantic to the Arctic that, together with the relatively recent colonization of the Arctic system could indicate that this species efficiently disperses and colonizes new habitats. In this study we used ISSR-PCR markers to study the genetic structure of five populations of the ascidian Styela rustica at Kongsfjorden, west Spitsbergen (Svalbard archipelago). We analyzed whether this species presents a low genetic structure, as can be expected due to the historical process of recent post glaciations colonization, or if there is genetic differentiation at a local scale, caused by short-lived larvae and limited dispersal potential. The genetic diversity in each population assessed using the marker diversity index (M) ranged from 0.288 to 0.324. Population HN, situated close to a fast retreating glacier, showed the lowest diversity. Processes associated with deglatiation (icebergs calving from the glacier that scour the benthos and the increment of inorganic particulate matter on the water column) would drive to reduced population sizes and explain the reduced genetic variability observed in the HN population with respect to the others in the fjord. This suggests a possible linkage with the global warming process. Although the weak genetic structure found among the studied populations could indicate a founder effect, the genetic landscape shape analysis together with a positive relationship between genetic and geographic distances also suggest possible current gene flow among populations in the fjord.     

Modeling the precision and robustness of Hunchback border during Drosophila embryonic development

During anterior-posterior axis specification in the Drosophila embryo, the Hunchback (Hb) protein forms a sharp boundary at the mid-point of the embryo with great positional precision. While Bicoid (Bcd) is a known upstream regulator for hb expression, there is evidence to suggest that Hb effectively filters out “noisy” data received from varied Bcd gradients. We use mathematical models to explore simple regulatory networks which filter out such noise to produce a precise Hb boundary. We find that in addition to Bcd and Hb, at least one freely evolving protein is necessary. An automated search yields a number of examples of three-protein networks exhibiting the desired precision. In all such networks, Hb diffuses much slower than the third protein. In addition, the action of Hb on the third protein is the opposite of the action of the third protein on hb (i.e. if Hb activates the third protein, then the third protein inhibits hb expression, and vice versa). Most of the discovered systems satisfy the known biological properties, that Bcd activates hb, and that Hb activates its own expression. We find that all network topologies satisfying these constraints arise among the networks exhibiting the desired precision. Investigating the dynamics of these networks, we find that under a general class of non-uniform initial conditions, Bcd can be eliminated from the system and the spatiotemporal evolution of these two proteins alone is sufficient to recapture the dynamics. We hypothesize that Bcd is needed only to spatially disturb the gradient of the third protein, and then becomes unnecessary in the further evolution of the Hb border. This provides a possible explanation as to why the Hb dynamics are robust under perturbations of the Bcd gradient. Under this hypothesis, other proteins would be able to assume the role of Bcd in our simulations (possibly in the case of evolutionary divergences or a redundancy in the process), with the only constraint that they act to positively regulate hb.     

An entropy-based approach for testing genetic epistasis underlying complex diseases

The genetic basis of complex diseases is expected to be highly heterogeneous, with complex interactions among multiple disease loci and environment factors. Due to the multi-dimensional property of interactions among large number of genetic loci, efficient statistical approach has not been well developed to handle the high-order epistatic complexity. In this article, we introduce a new approach for testing genetic epistasis in multiple loci using an entropy-based statistic for a case-only design. The entropy-based statistic asymptotically follows a χ² distribution. Computer simulations show that the entropy-based approach has better control of type I error and higher power compared to the standard χ² test. Motivated by a schizophrenia data set, we propose a method for measuring and testing the relative entropy of a clinical phenotype, through which one can test the contribution or interaction of multiple disease loci to a clinical phenotype. A sequential forward selection procedure is proposed to construct a genetic interaction network which is illustrated through a tree-based diagram. The network information clearly shows the relative importance of a set of genetic loci on a clinical phenotype. To show the utility of the new entropy-based approach, it is applied to analyze two real data sets, a schizophrenia data set and a published malaria data set. Our approach provides a fast and testable framework for genetic epistasis study in a case-only design.     

Evolutionarily distinctive species often capture more phylogenetic diversity than expected

Evolutionary distinctiveness measures of how evolutionarily isolated a species is relative to other members of its clade. Recently, distinctiveness metrics that explicitly incorporate time have been proposed for conservation prioritization. However, we found that such measures differ qualitatively in how well they capture the total amount of evolution (termed phylogenetic diversity, or PD) represented by a set of species. We used simulation and simple graph theory to explore this relationship with reference to phylogenetic tree shape. Overall, the distinctiveness measures capture more PD on more unbalanced trees and on trees with many splits near the present. The rank order of performance was robust across tree shapes, with apportioning measures performing best and node-based measures performing worst. A sample of 50 ultrametric trees from the literature showed the same patterns. Taken together, this suggests that distinctiveness metrics may be a useful addition to other measures of value for conservation prioritization of species. The simplest measure, the age of a species, performed surprisingly well, suggesting that new measures that focus on tree shape near the tips may provide a transparent alternative to more complicated full-tree approaches.