转基因海带的研究现状

海带是海洋中一种极其重要的经济海藻。转基因技术在海带科研中的应用,将使海带的附加值得到进一步的提高。就海带遗传转化方法,以及转GUS基因、转lacZ基因、转CAT基因、转bar基因等报告基因和转HBsAg基因、转r-PA基因等功能基因海带的研究现状进行了综述。     

转基因植物中外源基因的沉默及应对策略

随着转基因技术在作物育种领域的应用,转基因植物中外源基因表达量低的现象较为普遍。导致外源基因表达量低的主要原因是基因沉默。外源基因沉默可分为转录水平的基因沉默和转录后水平的基因沉默。如何应对基因沉默,提高外源基因的表达量,是转基因技术发展亟待解决的问题。     

基因捕捉及其在植物基因分离和功能基因组学上的应用

基因捕捉是一种报告基因的随机整合技术。基因捕捉系统已成为分离基因、鉴定基因功能的重要手段。基因捕捉(gene traps)包括增强子捕捉(enhancer trap)、启动子捕捉(promoter trap)和基因捕捉(gene trap),通称为基因捕捉(gcne traps)。在增强子捕捉中,报告基因与一个基本启动子融合,这个启动子不能使报告基因表达,但可被临近的增强子激活。在启动子捕捉和基因捕捉中,报告基因的启动子被去除,融合基因只有以正确的方向插入到转录单元内才能表达。对基因捕捉系统的结构特征、构建方法、应用范围、研究现状和应用前景等作了系统论述,并对有关问题进行了讨论。     

利用套叠PCR技术进行基因突变和拼接

利用套叠PCR技术（又称重叠区扩增基因拼接法）对hGM-CSF基因内第28位氨基酸处的糖基化位点进行突变和进行人促性腺激素基因,腺苷酸激酶短肽与胰岛素样生长因子－基因三者之间的拼接,结果表明采用该技术能在体外实行有效的基因重组和定点突变,其成功率为100％,这一技术不需要内切酶消化和连接酶处理,技术操作员简单易行,在基因拼接,基因内部突变方面具有良好的应用价值。     

Extrachromosomal and chromosomal gene conversion in mammalian cells.

We constructed substrates to study gene conversion in mammalian cells specifically without the complication of reciprocal recombination events. These substrates contain both an insertion mutation of the neomycin resistance gene (neoX) and an internal, homologous fragment of the neo gene (neo-526), such that gene conversion from neo-526 to neoX restores a functional neo gene. Although two reciprocal recombination events can also produce an intact neo gene, these double recombination events occur much less frequently that gene conversion in mammalian cells, We used our substrates to characterize extrachromosomal gene conversion in recombination-deficient bacteria and in monkey COS cells. Chromosomal recombination was also studied after stable integration of these substrates into the genome of mouse 3T6 cells. All extrachromosomal and chromosomal recombination events analyzed in mammalian cells resulted from gene conversion. Chromosomal gene conversion events occurred at frequencies of about 10(-6) per cell generation and restored a functional neo gene without overall effects on sequence organization.     

Pinaceae show elevated rates of gene turnover that are robust to incomplete gene annotation

Gene duplications and gene losses are major determinants of genome evolution and phenotypic diversity. The frequency of gene turnover (gene gains and gene losses combined) is known to vary between organisms. Comparative genomic analyses of gene families can highlight such variation; however, estimates of gene turnover may be biased when using highly fragmented genome assemblies resulting in poor gene annotations. Here, we address potential biases introduced by gene annotation errors in estimates of gene turnover frequencies in a dataset including both well‐annotated angiosperm genomes and the incomplete gene sets of four Pinaceae, including two pine species, Norway spruce and Douglas‐fir. We show that Pinaceae experienced higher gene turnover rates than angiosperm lineages lacking recent whole‐genome duplications. This finding is robust to both known major issues in Pinaceae gene sets: missing gene models and erroneous annotation of pseudogenes. A separate analysis limited to the four Pinaceae gene sets pointed to an accelerated gene turnover rate in pines compared with Norway spruce and Douglas‐fir. Our results indicate that gene turnover significantly contributes to genome variation and possibly to speciation in Pinaceae, particularly in pines. Moreover, these findings indicate that reliable estimates of gene turnover frequencies can be discerned in incomplete and potentially inaccurate gene sets. Because gymnosperms are known to exhibit low overall substitution rates compared with angiosperms, our results suggest that the rate of single‐base pair mutations is uncoupled from the rate of large DNA duplications and deletions associated with gene turnover in Pinaceae.     

In vitro binding of the bacteriophage f1 gene V protein to the gene II RNA-operator and its DNA analog.

We have investigated the binding of the f1 single-stranded DNA-binding protein (gene V protein) to DNA oligonucleotides and RNA synthesized in vitro. The first 16 nucleotides of the f1 gene II mRNA leader sequence were previously identified as the gene II RNA-operator; the target to which the gene V protein binds to repress gene II translation. Using a gel retardation assay, we find that the preferential binding of gene V protein to an RNA carrying the gene II RNA-operator sequence is affected by mutations which abolish gene II translational repression in vivo. In vitro, gene V protein also binds preferentially to a DNA oligonucleotide whose sequence is the DNA analog of the wild-type gene II RNA-operator. Therefore, the gene V protein recognizes the gene II mRNA operator sequence when present in either an RNA or DNA context.     

Evolution of mercuric reductase (<Emphasis Type="Italic">merA</Emphasis>) gene: A case of horizontal gene transfer

In the present study the role of horizontal gene transfer events in providing the mercury resistance is depicted. merA gene is key gene in mer operon and has been used for this swtudy. Phylogenetic analysis of aligned merA gene sequences shows broad similarities to the established 16S rRNA gene phylogeny. But there is no separation of bacterial merA gene from archael merA gene which suggests that merA gene in both these groups share considerable sequence homology. However, inconsistencies between merA gene and 16S rRNA gene phylogenetic trees are apparent for some taxa. These discrepancies in the phylogenetic trees for merA gene and 16S rRNA gene have lead to the suggestion that horizontal gene transfer (HGT) is a major contributor for its evolution. The close association among members of different groups in merA gene tree, as supported by high bootstrap values, deviations in GC content and codon usage pattern indicate the possibility that horizontal gene transfer events might have taken place during the evolution of this gene.     

From gene trees to species trees II: species tree inference by minimizing deep coalescence events

When gene copies are sampled from various species, the resulting gene tree might disagree with the containing species tree. The primary causes of gene tree and species tree discord include incomplete lineage sorting, horizontal gene transfer, and gene duplication and loss. Each of these events yields a different parsimony criterion for inferring the (containing) species tree from gene trees. With incomplete lineage sorting, species tree inference is to find the tree minimizing extra gene lineages that had to coexist along species lineages; with gene duplication, it becomes to find the tree minimizing gene duplications and/or losses. In this paper, we present the following results: 1) The deep coalescence cost is equal to the number of gene losses minus two times the gene duplication cost in the reconciliation of a uniquely leaf labeled gene tree and a species tree. The deep coalescence cost can be computed in linear time for any arbitrary gene tree and species tree. 2) The deep coalescence cost is always not less than the gene duplication cost in the reconciliation of an arbitrary gene tree and a species tree. 3) Species tree inference by minimizing deep coalescence events is NP-hard.     

The problem of the gene

During the early 20th century the diverse practices of genetics were unified by the concept of the gene. This classical gene was simultaneously a unit of structure, function, mutation, and recombination. Starting in the 1940s, however, the classical gene began to fragment. Today when we speak of a gene for some malady, a regulatory gene, a structural gene, or a gene frequency, it is entirely possible that we are deploying different gene concepts even though we are using the same term. The problem of the gene addresses the fragmentation of the classical gene concept by asking to what extent a comprehensive and unifying gene concept is possible or desirable. Fully comprehensive gene concepts seem untenable today, but, within different disciplinary domains, unifying, but non-comprehensive, gene concepts can be epistemically worthwhile. The problem of the gene persists, however, not because of its epistemic value, but because of its political value. Using both the arguments for newly proposed gene concepts and the historical dispute over the classical gene, I argue that the desirability of gene concepts rests in part on the political ramifications of their deployment and contestation.     

Chromatin organization of the Saccharomyces cerevisiae 2 microns plasmid depends on plasmid-encoded products.

We have used gene disruptions and nuclease probes to assess the roles of yeast 2 micron plasmid genes in plasmid chromatin organization. The chromatin structure at the replication origin is not dependent on any of the four major open reading frames, A, B, C, or D. While stable plasmid maintenance is known to depend on a cis-acting locus STB and genes B and C, we find that only gene B influences STB chromatin. Other interactions between plasmid gene products and sequences may reflect gene regulation: the chromatin organization at the 5' end of gene A, which codes for a site-specific recombinase, depends on both gene B and gene C. Since disruption of gene C results in an increase in plasmid copy number that is dependent on gene A, we propose that gene C (and probably gene B) control copy number by regulating the level of the gene A recombinase.     

Evolutionary significance of gene expression divergence

Recent large-scale studies of evolutionary changes in gene expression among mammalian species have led to the proposal that gene expression divergence may be neutral with respect to organismic fitness. Here, we employ a comparative analysis of mammalian gene sequence divergence and gene expression divergence to test the hypothesis that the evolution of gene expression is predominantly neutral. Two models of neutral gene expression evolution are considered: 1-purely neutral evolution (i.e., no selective constraint) of gene expression levels and patterns and 2-neutral evolution accompanied by selective constraint. With respect to purely neutral evolution, levels of change in gene expression between human-mouse orthologs are correlated with levels of gene sequence divergence that are determined largely by purifying selection. In contrast, evolutionary changes of tissue-specific gene expression profiles do not show such a correlation with sequence divergence. However, divergence of both gene expression levels and profiles are significantly lower for orthologous human-mouse gene pairs than for pairs of randomly chosen human and mouse genes. These data clearly point to the action of selective constraint on gene expression divergence and are inconsistent with the purely neutral model; however, there is likely to be a neutral component in evolution of gene expression, particularly, in tissues where the expression of a given gene is low and functionally irrelevant. The model of neutral evolution with selective constraint predicts a regular, clock-like accumulation of gene expression divergence. However, relative rate tests of the divergence among human-mouse-rat orthologous gene sets reveal clock-like evolution for gene sequence divergence, and to a lesser extent for gene expression level divergence, but not for the divergence of tissue-specific gene expression profiles. Taken together, these results indicate that gene expression divergence is subject to the effects of purifying selective constraint and suggest that it might also be substantially influenced by positive Darwinian selection.     

The small MbtH-like protein encoded by an internal gene of the balhimycin biosynthetic gene cluster is not required for glycopeptide production

The balhimycin biosynthetic gene cluster of the glycopeptide producer Amycolatopsis balhimycina includes a gene (orf1) with unknown function. orf1 shows high similarity to the mbtH gene from Mycobacterium tuberculosis. In almost all nonribosomal peptide synthetase (NRPS) biosynthetic gene clusters, we could identify a small mbtH-like gene whose function in peptide biosynthesis is not known. The mbtH-like gene is always colocalized with the NRPS genes; however, it does not have a specific position in the gene cluster. In all glycopeptide biosynthetic gene clusters the orf1-like gene is always located downstream of the gene encoding the last module of the NRPS. We inactivated the orf1 gene in A. balhimycina by generating a deletion mutant. The balhimycin production is not affected in the orf1-deletion mutant and is indistinguishable from that of the wild type. For the first time, we show that the inactivation of an mbtH-like gene does not impair the biosynthesis of a nonribosomal peptide.     

Nonviral gene therapy targeting cardiovascular system

The goal of gene therapy is either to introduce a therapeutic gene into or replace a defective gene in an individual's cells and tissues. Gene therapy has been urged as a potential method to induce therapeutic angiogenesis in ischemic myocardium and peripheral tissues after extensive investigation in recent preclinical and clinical studies. A successful gene therapy mainly relies on the development of the gene delivery vector. Developments in viral and nonviral vector technology including cell-based gene transfer will further improve transgene delivery and expression efficiency. Nonviral approaches as alternative gene delivery vehicles to viral vectors have received significant attention. Recently, a simple and safe approach of gene delivery into target cells using naked DNA has been improved by combining several techniques. Among the physical approaches, ultrasonic microbubble gene delivery, with its high safety profile, low costs, and repeatable applicability, can increase the permeability of cell membrane to macromolecules such as plasmid DNA by its bioeffects and can provide as a feasible tool in gene delivery. On the other hand, among the promising areas for gene therapy in acquired diseases, ischemic cardiovascular diseases have been widely studied. As a result, gene therapy using advanced technology may play an important role in this regard. The aims of this review focus on understanding the cellular and in vivo barriers in gene transfer and provide an overview of currently used chemical vectors and physical tools that are applied in nonviral cardiovascular gene transfer.     

Non-equilibrium gene frequency divergence: persistent founder effects in natural populations

The estimation of gene flow using gene frequency divergence information has become increasingly popular because of the difficulty involved in the direct determination of gene flow among populations. The present study examined allozyme gene frequencies in populations of eighteen aquatic invertebrate taxa at two sites in northern Canada. Gene frequencies at polymorpic loci were significantly different among 8–31 localized populations of all species at Igloolik and among 10–36 populations at Churchill confirming the generality of gene pool fragmentation in pond-dwelling organisms. Measures of gene flow estimated from gene frequency divergence, which assume that gene frequency distributions are at equilibrium, were inconsistent with the probable dispersal capacities of taxa. This provoked an examination of historical events as alternative explanations. Both theory and computer simulations demonstrated that when populations grow rapidly in size after founding from few individuals, the gene frequency divergence established during colonization is resistant to decay by gene exchange. Our work suggests that gene frequency distributions are often not in equilibrium and that caution should be employed in attempts to infer gene flow from them in natural populations.     

外源基因在植物病毒表达载体中表达策略的研究进展

利用植物病毒表达载体表达外源蛋白是近年来发展起来的具有表达量大,速度快和廉价等优势的生产系统,其有4种构建策略;基因取代,基因插入,融合抗原和基因互补,此外还从病毒表达载体的基础性研究和商业应用方面进行了详细讨论。     

大绿蛙Sox基因和Dmrt基因的序列分析

Sox基因家族与Dmrt基因家族在胚胎发育及性别分化中起着重要作用。采用PCR方法,扩增了大绿蛙Sox基因和Dmrt基因的保守区,分别获得长约220 bp和140 bp的片段。序列分析表明,大绿蛙雌雄个体之间Sox基因、Dmrt基因序列没有差异,与人和其它动物的Sox基因、Dmrt基因有非常高的相似性,显示了Sox基因及Dmrt基因在系统进化上的高度保守性。本研究为探讨大绿蛙的性别决定机制及Sox基因与Dmrt基因的进化提供了分子资料。     

Identifying Gene Interaction Enrichment for Gene Expression Data

Gene set analysis allows the inclusion of knowledge from established gene sets, such as gene pathways, and potentially improves the power of detecting differentially expressed genes. However, conventional methods of gene set analysis focus on gene marginal effects in a gene set, and ignore gene interactions which may contribute to complex human diseases. In this study, we propose a method of gene interaction enrichment analysis, which incorporates knowledge of predefined gene sets (e.g. gene pathways) to identify enriched gene interaction effects on a phenotype of interest. In our proposed method, we also discuss the reduction of irrelevant genes and the extraction of a core set of gene interactions for an identified gene set, which contribute to the statistical variation of a phenotype of interest. The utility of our method is demonstrated through analyses on two publicly available microarray datasets. The results show that our method can identify gene sets that show strong gene interaction enrichments. The enriched gene interactions identified by our method may provide clues to new gene regulation mechanisms related to the studied phenotypes. In summary, our method offers a powerful tool for researchers to exhaustively examine the large numbers of gene interactions associated with complex human diseases, and can be a useful complement to classical gene set analyses which only considers single genes in a gene set.