斑马鱼肌肉高表达基因近端非编码元件分析及功能检测

为鉴定鱼类肌肉组织特异性顺式调控元件,通过分析斑马鱼多个组织的转录组数据,筛选出肌肉高表达基因及低表达基因.通过MEME对肌肉高表达基因和低表达基因非编码区序列特征进行分析,在5个肌肉高表达基因的转录起始位点上游发现了序列保守的DNA区域,包含6个排列顺序一致的DNA基序.将其中一段目标片段插入具有Tol2转座子元件的...     

Dissection of cis-regulatory elements in the C. elegans Hox gene egl-5 promoter

Hox genes are highly conserved segmental identity genes well known for their complex expression patterns and divergent targets. Here we present an analysis of cis-regulatory elements in the Caenorhabditis elegans Hox gene egl-5, which is expressed in multiple tissues in the posterior region of the nematode. We have utilized phylogenetic footprinting to efficiently identify cis-regulatory elements and have characterized these with gfp reporters and tissue-specific rescue experiments. We have found that the complex expression pattern of egl-5 is the cumulative result of the activities of multiple tissue or local region-specific activator sequences that are conserved both in sequence and near-perfect order in the related nematode Caenorhabditis briggsae. Two conserved regulatory blocks analyzed in detail contain multiple sites for both positively and negatively acting factors. One of these regions may promote activation of egl-5 in certain cells via the Wnt pathway. Positively acting regions are repressed in inappropriate tissues by additional negative pathways acting at other sites within the promoter. Our analysis has allowed us to implicate several new regulatory factors significant to the control of egl-5 expression.     

Human and mouse introns are linked to the same processes and functions through each genome's most frequent non-conserved motifs

We identified the most frequent, variable-length DNA sequence motifs in the human and mouse genomes and sub-selected those with multiple recurrences in the intergenic and intronic regions and at least one additional exonic instance in the corresponding genome. We discovered that these motifs have virtually no overlap with intronic sequences that are conserved between human and mouse, and thus are genome-specific. Moreover, we found that these motifs span a substantial fraction of previously uncharacterized human and mouse intronic space. Surprisingly, we found that these genome-specific motifs are over-represented in the introns of genes belonging to the same biological processes and molecular functions in both the human and mouse genomes even though the underlying sequences are not conserved between the two genomes. In fact, the processes and functions that are linked to these genome-specific sequence-motifs are distinct from the processes and functions which are associated with intronic regions that are conserved between human and mouse. The findings show that intronic regions from different genomes are linked to the same processes and functions in the absence of underlying sequence conservation. We highlight the ramifications of this observation with a concrete example that involves the microsatellite instability gene MLH1.     

BEAM: a beam search algorithm for the identification of cis-regulatory elements in groups of genes.

The identification of potential protein binding sites (cis-regulatory elements) in the upstream regions of genes is key to understanding the mechanisms that regulate gene expression. To this end, we present a simple, efficient algorithm, BEAM (beam-search enumerative algorithm for motif finding), aimed at the discovery of cis-regulatory elements in the DNA sequences upstream of a related group of genes. This algorithm dramatically limits the search space of expanded sequences, converting the problem from one that is exponential in the length of motifs sought to one that is linear. Unlike sampling algorithms, our algorithm converges and is capable of finding statistically overrepresented motifs with a low failure rate. Further, our algorithm is not dependent on the objective function or the organism used. Limiting the space of candidate motifs enables the algorithm to focus only on those motifs that are most likely to be biologically relevant and enables the algorithm to use direct evaluations of background frequencies instead of resorting to probabilistic estimates. In addition, limiting the space of candidate motifs makes it possible to use computationally expensive objective functions that are able to correctly identify biologically relevant motifs.     

Evolution of Conserved Non-Coding Sequences Within the Vertebrate Hox Clusters Through the Two-Round Whole Genome Duplications Revealed by Phylogenetic Footprinting Analysis

As a result of two-round whole genome duplications, four or more paralogous Hox clusters exist in vertebrate genomes. The paralogous genes in the Hox clusters show similar expression patterns, implying shared regulatory mechanisms for expression of these genes. Previous studies partly revealed the expression mechanisms of Hox genes. However, cis-regulatory elements that control these paralogous gene expression are still poorly understood. Toward solving this problem, the authors searched conserved non-coding sequences (CNSs), which are candidates of cis-regulatory elements. When comparing orthologous Hox clusters of 19 vertebrate species, 208 intergenic conserved regions were found. The authors then searched for CNSs that were conserved not only between orthologous clusters but also among the four paralogous Hox clusters. The authors found three regions that are conserved among all the four clusters and eight regions that are conserved between intergenic regions of two paralogous Hox clusters. In total, 28 CNSs were identified in the paralogous Hox clusters, and nine of them were newly found in this study. One of these novel regions bears a RARE motif. These CNSs are candidates for gene expression regulatory regions among paralogous Hox clusters. The authors also compared vertebrate CNSs with amphioxus CNSs within the Hox cluster, and found that two CNSs in the HoxA and HoxB clusters retain homology with amphioxus CNSs through the two-round whole genome duplications.     

Combining phylogenetic data with co-regulated genes to identify regulatory motifs

MOTIVATION: Discovery of regulatory motifs in unaligned DNA sequences remains a fundamental problem in computational biology. Two categories of algorithms have been developed to identify common motifs from a set of DNA sequences. The first can be called a 'multiple genes, single species' approach. It proposes that a degenerate motif is embedded in some or all of the otherwise unrelated input sequences and tries to describe a consensus motif and identify its occurrences. It is often used for co-regulated genes identified through experimental approaches. The second approach can be called 'single gene, multiple species'. It requires orthologous input sequences and tries to identify unusually well conserved regions by phylogenetic footprinting. Both approaches perform well, but each has some limitations. It is tempting to combine the knowledge of co-regulation among different genes and conservation among orthologous genes to improve our ability to identify motifs. RESULTS: Based on the Consensus algorithm previously established by our group, we introduce a new algorithm called PhyloCon (Phylogenetic Consensus) that takes into account both conservation among orthologous genes and co-regulation of genes within a species. This algorithm first aligns conserved regions of orthologous sequences into multiple sequence alignments, or profiles, then compares profiles representing non-orthologous sequences. Motifs emerge as common regions in these profiles. Here we present a novel statistic to compare profiles of DNA sequences and a greedy approach to search for common subprofiles. We demonstrate that PhyloCon performs well on both synthetic and biological data. AVAILABILITY: Software available upon request from the authors. http://ural.wustl.edu/softwares.html