The role of cis-regulatory motifs and genetical control of expression in the divergence of yeast duplicate genes

Expression divergence of duplicate genes is widely believedto be important for their retention and evolution of new function,although the mechanism that determines their expression divergenceremains unclear. We use a genetical genomics approach to exploredivergence in genetical control of yeast duplicate genes createdby a whole-genome duplication that occurred about 100 MYA andthose with a younger duplication age. The analysis reveals thatduplicate genes have a significantly higher probability of sharingcommon genetic control than pairs of singleton genes. The expressionquantitative trait loci (eQTLs) have diverged completely fora high proportion of duplicate pairs, whereas a substantiallylarger proportion of duplicates share common regulatory motifsafter 100 Myr of divergent evolution. The similarity in bothgenetical control and cis motif structure for a duplicate pairis a reflection of its evolutionary age. This study revealsthat up to 20% of variation in expression between ancient duplicategene pairs in the yeast genome can be explained by both cismotif divergence (8%) and by trans eQTL divergence (10%). Initially,divergence in all 3 aspects of cis motif structure, trans-geneticalcontrol, and expression evolves coordinately with the codingsequence divergence of both young and old duplicate pairs. Thesefindings highlight the importance of divergence in both cismotif structure and trans-genetical control in the diverse setof mechanisms underlying the expression divergence of yeastduplicate genes.     

External factors accelerate expression divergence between duplicate genes

We examined the evolution of expression of duplicate genes in Arabidopsis thaliana, by analyzing 512 data sets of gene expression microarrays and 2022 recent duplicate gene pairs. Expression divergence between gene duplicates is significantly greater in response to environmental stress than to developmental processes. A slow rate of expression divergence during development might offer dosage-dependent selective advantage, whereas rapid expression divergence in response to external changes might accelerate adaptation.     

Drosophila duplicate genes evolve new functions on the fly

Gene duplication is thought to play a key role in phenotypic innovation. While several processes have been hypothesized to drive the retention and functional evolution of duplicate genes, their genomic contributions have never been determined. We recently developed the first genome-wide method to classify these processes by comparing distances between expression profiles of duplicate genes and their ancestral single-copy orthologs. Application of our approach to spatial gene expression profiles in two Drosophila species revealed that a majority of young duplicate genes possess new functions, and that new functions are acquired rapidly—often within a few million years. Surprisingly, new functions tend to arise in younger copies of duplicate gene pairs. Moreover, we found that young duplicates are often specifically expressed in testes, whereas old duplicates are broadly expressed across several tissues, providing strong support for the hypothetical “out-of-testes” origin of new genes. In this Extra View, I discuss our findings in the context of theoretical predictions about gene duplication, with a particular emphasis on the importance of natural selection in the evolution of novel phenotypes.     

Correlated asymmetry of sequence and functional divergence between duplicate proteins of Saccharomyces cerevisiae

The role of sequence divergence in functional divergence of duplicate genes is a topic of great interest. In this study, we compare the numbers of amino acid substitutions in each sequence since two yeast duplicates diverged, using a preduplication ancestral outgroup. Using this strategy, we explored the relationship between sequence divergence and functional divergence between duplicate partners. We show that the degree of relative functional asymmetry between duplicate proteins is proportional to the relative sequence divergence between them. Furthermore, of the two duplicates, the copy closer to their ancestral sequence (fewer number of amino acid substitutions) interacts with more proteins and affects fitness more severely when deleted. Therefore, asymmetric sequence divergence between duplicates is correlated with asymmetric functional divergence and may underlie the duplicate's role in genetic robustness against mutations. Among the functional traits considered, protein abundance appears to have the strongest correlation with the nonsynonymous divergence between duplicates. Taken together with the results from whole-genome analyses, our results indicate that within-species duplicates are subject to the same evolutionary force that acts on interspecific sequence and functional divergence. In particular, we detect signs of purifying selection on the more slowly evolving duplicate.     

从microarray时序表达数据识别周期表达基因

根据周期表达基因的周期性和峰值特点,提出了一种将microarray时序表达数据划分为若干个基因表达周期,并对周期内的峰值特点进行评估以识别周期表达基因的方法,能有效减小microarray实验时的噪声干扰。选取了三组广泛使用的时序表达数据和一组可靠的周期表达基因集合对该方法的效果进行了测试,并与三种典型的周期表达基因识别方法的效果进行了比较。该方法能有效地从各种microarray时序表达数据中识别周期表达基因。     

拟南芥基因芯片数据中非生物胁迫相关基因的挖掘

利用方差分析法从拟南芥芯片表达谱数据库挖掘非生物胁迫相关基因,并对这些基因进行GO注释分析,从而揭示非生物胁迫的生物学意义,发现非生物胁迫主要影响植物基因表达过程的转录调节和信号转导过程的磷酸化。同时对这些基因的上游启动子区域序列进行分析,挖掘非生物胁迫反应调控过程和适应过程的转录因子,发现植物非生物胁迫过程主要受bHLH—ZIP类和ZN—FINGER类C2H2型转录因子的调节。     

Rapid adaptive divergence between ecotypes of an aquatic isopod inferred from FST–QST analysis

Divergent natural selection is often thought to be the principal factor driving phenotypic differentiation between populations. We studied two ecotypes of the aquatic isopod Asellus aquaticus which have diverged in parallel in several Swedish lakes. In these lakes, isopods from reed belts along the shores colonized new stonewort stands in the centre of the lakes and rapid phenotypic changes in size and pigmentation followed after colonization. We investigated if selection was likely to be responsible for these observed phenotypic changes using indirect inferences of selection (F_ST–Q_ST analysis). Average Q_ST for seven quantitative traits were higher than the average F_ST between ecotypes for putatively neutral markers (AFLPs). This suggests that divergent natural selection has played an important role during this rapid diversification. In contrast, the average Q_ST between the different reed ecotype populations was not significantly different from the mean F_ST. Genetic drift could therefore not be excluded as an explanation for the minor differences between allopatric populations inhabiting the same source habitat. We complemented this traditional F_ST–Q_ST approach by comparing the F_ST distributions across all loci (n = 67–71) with the Q_ST for each of the seven traits. This analysis revealed that pigmentation traits had diverged to a greater extent and at higher evolutionary rates than size‐related morphological traits. In conclusion, this extended and detailed type of F_ST–Q_ST analysis provides a powerful method to infer adaptive phenotypic divergence between populations. However, indirect inferences about the operation of divergent selection should be analyzed on a per‐trait basis and complemented with detailed ecological information.     

Tissue-specific gene expression in soybean (Glycine max) detected by cDNA microarray analysis

We have constructed cDNA microarrays for soybean (Glycine maxL. Merrill), containing approximately 4,100 Unigene ESTs derived from axenic roots, to evaluate their application and utility for functional genomics of organ differentiation in legumes. We assessed microarray technology by conducting studies to evaluate the accuracy of microarray data and have found them to be both reliable and reproducible in repeat hybridisations. Several ESTs showed high levels (50 fold) of differential expression in either root or shoot tissue of soybean. A small number of physiologically interesting, and differentially expressed sequences found by microarray analysis were verified by both quantitative real-time RT-PCR and Northern blot analysis. There was a linear correlation (r² = 0.99, over 5 orders of magnitude) between microarray and quantitative real-time RT-PCR data. Microarray analysis of soybean has enormous potential not only for the discovery of new genes involved in tissue differentiation and function, but also to study the expression of previously characterised genes, gene networks and gene interactions in wild-type, mutant or transgenic plants.     

Comparative microarray data analysis for the expression of genes in the pathway of glioma

Our present work focuses on the set of genes, which are involved in primary brain tumors - the glioma pathway. These gliomas are mostly malignant (cancerous) in nature and are difficult to be cured and that's why they attract the attention of all the workers. To understand the relative functionality of these genes, we analyzed the expression pattern of all genes, using gene expression data, at genomic level, and then to check their universality in all other cancers, we compared their expression levels and patterns in all other types of cancers by using gene expression graphs, and observed their expression levels in all these cancers, whether they are over or under expressed. We found that every gene has its own unique expression pattern and level and on that basis it can be classified. We also found that oncogenes and tumor suppressor genes that were involved in the glioma pathway were showing similar expression patterns in other cancers too but their expression level is low.     

The microarray analysis for gene expression in haploids and diploids derived from twin-seedling rice

In this study, microarray technique was employed to analyze the gene expression at the RNA level between haploids and corresponding diploids derived from a rice twin-seedling line SARII-628. Differ- ent degrees of expression variations were observed in the plant after haploidization. The main results are as follows: (1) after haploidization, the ratio of the sensitive loci was 2.47% of the total loci designed on chip. Those loci were randomly distributed on the 12 pairs of rice chromosomes and the activated loci were more than the silenced ones. (2) Gene clusters on chromosome were observed for 33 se- quences. (3) GoPipe function classification for 575 sensitive loci revealed an involvement in the bio- logical process, cell component and molecular function. (4) RT-PCR generally validated the result from microarray with a coincidence rate of 83.78%. And for the randomly-selected activated or silenced loci in chip analysis, the coincidence rate was up to 91.86%.     

应用cDNA微阵列技术筛选大鼠脊髓损伤修复相关基因

脊髓损伤是一类常见的、高致残率的中枢神经系统疾病,由于多种复杂因素影响其损伤后的修复过程,损伤脊髓的再生能力非常有限。本研究采用cDNA微阵列技术筛选大鼠脊髓损伤后出现的差异表达基因。实验组动物在T8-T9进行脊髓全横断手术,对照组动物只打开椎板;4．5d后取脊髓进行RNA提取并在反转录过程中进行Cy3／Cy5标记,然后与预制的、带有4041条特异性探针的芯片进行杂交。Cy5／Cy3信号比值≥2．0视为脊髓损伤后出现差异表达的基因。通过筛选,我们得到了65个上调表达基因（21个已知基因,30个已知EST和14个未知基因）和79个下调基因（20个已知基因,42个已知EST和17个未知基因）。进一步通过半定量RT-PCR对其中的5个上调已知基因（Timpl,Tagln,Vim,Fc gamma receptor,Ctss）和三个下调已知基因（stearyl-CoA desaturase,F2,Ensa）的表达情况进行了验证,结果显示与芯片结果一致。这些基因可能在脊髓损伤后的修复过程中起一定的作用,对其深入研究将有助于揭示脊髓损伤修复的分子机制。     

Effective feature selection framework for cluster analysis of microarray data

The microarray technique has become a standard means in simultaneously examining expression of all genes measured in different circumstances. As microarray data are typically characterized by high dimensional features with a small number of samples, feature selection needs to be incorporated to identify a subset of genes that are meaningful for biological interpretation and accountable for the sample variation. In this article, we present a simple, yet effective feature selection framework suitable for two-dimensional microarray data. Our correlation-based, nonparametric approach allows compact representation of class-specific properties with a small number of genes. We evaluated our method using publicly available experimental data and obtained favorable results.     

应用DNA芯片技术对禽致病性大肠杆菌可能致病基因体外表达水平的研究

应用DNA芯片研究禽致病性大肠杆菌可能致病基因的表达.构建禽致病性大肠杆菌毒力基因、潜在毒力基因的DNA芯片,应用基因芯片技术对同属O2血清型的禽高致病性大肠杆菌E058株和低致病性大肠杆菌E526株在体外LB培养基和鸡血清培养状态下进行差异表达分析.结果:在体外LB静置培养状态下,低致病株E526与高致病株E058相比共有16个差异基因,均为下调基因.在鸡血清静置培养中,E526与E058相比共有15个差异基因,均为下调基因.应用基因芯片成功筛选了禽致病性大肠杆菌在体外不同条件下的毒力基因及可能毒力基因中差异表达基因,表明一些铁摄取系统相关基因对APEC的毒力较重要,同时也筛选出了一些新的可能致病基因aes-1,aes-2,aes-3,aes-4,aes-6,aes-8,aes-10,aes-13,aes-15,aes-31等.