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Active vs. Passive Conservation of Noncoding Elements in 200 KB of Orthologous Human, Mouse and Dog DNA

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Large-scale human/mouse DNA comparison studies have discovered numerous conserved noncoding sequences of which only a fraction has been functionally investigated. A question therefore remains as to whether most of these sequences are conserved due to functional constraints or are the result of a lack of divergence time? Based on the suppostition that actively conserved human/mouse noncoding sequences will be present in a third mammal while noncoding regions that are similar because of an insufficient accumulation of random mutations will be absent, we sequenced and compared -200 kb of orthologous human (5q31), mouse and dog DNA. To optimized recognition of conserved noncoding sequences, we developed a program to search for blocks of similarity in globally aligned sequences (eliminating biases against small insertions/deletions which are commonly found in regulatory elements) and coupled it to a new visualization tool. VISTA, to analyze regions of similarity in the human, dog, and mouse DNA sequences simultaneously. Comparative analysis revealed that the content and order of the 6 genes in this region is the same for all three species. Baseline similarity levels of noncoding sequences in humans and dogs were -2 fold higher than in humans and mice and -35 fold higher than in dogs and mice. Varying criteria was thus used to define noncodina elements as conserved in the twoway sequence comparisons of the different species: human/dog (≥90% identity over ≥120bp), human/mouse (≥80% identity over ≥120bp), and dog/mouse (≥75% identity over ≥120bp). Fifteen human/mouse conserved noncoding sequences were identified, all 15 elements overlapped with mouse/dog and 11 overlapped with human/dog conserved noncoding sequences. At these cutoff criteria, all the conserved noncoding element discrepancies fell into two categories, either putative false negatives 9the conserved noncoding elements are present in all 3 species but fall slightly below the cut off value) or correspond to missing draft dog sequence. Our study suggests that the majority of identified human/mouse conserved non-coding regions are likely the result of active conservation due to function. Furthermore, the VISTA tool developed for this analysis is an effective means for displaying multiple two-way sequence alignments to generate hypothesis using comparative genomics data sets.

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盧俊偉(2012)。政策變遷的動力因素分析─以產業租稅獎勵政策的演化為例〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2012.01182

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