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基于奇异值分解对九个真核生物全基因组的比较支持体腔动物而非蜕皮动物谱系。

An SVD-based comparison of nine whole eukaryotic genomes supports a coelomate rather than ecdysozoan lineage.

作者信息

Stuart Gary W, Berry Michael W

机构信息

Department of Life Sciences, Indiana State University, Terre Haute, IN 47809, USA.

出版信息

BMC Bioinformatics. 2004 Dec 17;5:204. doi: 10.1186/1471-2105-5-204.

Abstract

BACKGROUND

Eukaryotic whole genome sequences are accumulating at an impressive rate. Effective methods for comparing multiple whole eukaryotic genomes on a large scale are needed. Most attempted solutions involve the production of large scale alignments, and many of these require a high stringency pre-screen for putative orthologs in order to reduce the effective size of the dataset and provide a reasonably high but unknown fraction of correctly aligned homologous sites for comparison. As an alternative, highly efficient methods that do not require the pre-alignment of operationally defined orthologs are also being explored.

RESULTS

A non-alignment method based on the Singular Value Decomposition (SVD) was used to compare the predicted protein complement of nine whole eukaryotic genomes ranging from yeast to man. This analysis resulted in the simultaneous identification and definition of a large number of well conserved motifs and gene families, and produced a species tree supporting one of two conflicting hypotheses of metazoan relationships.

CONCLUSIONS

Our SVD-based analysis of the entire protein complement of nine whole eukaryotic genomes suggests that highly conserved motifs and gene families can be identified and effectively compared in a single coherent definition space for the easy extraction of gene and species trees. While this occurs without the explicit definition of orthologs or homologous sites, the analysis can provide a basis for these definitions.

摘要

背景

真核生物全基因组序列正以惊人的速度积累。需要有有效的方法来大规模比较多个真核生物全基因组。大多数尝试的解决方案都涉及生成大规模比对,其中许多方法需要对假定的直系同源物进行高严格度的预筛选,以减小数据集的有效大小,并为比较提供相当高但未知比例的正确比对的同源位点。作为一种替代方法,也在探索不需要对操作定义的直系同源物进行预比对的高效方法。

结果

基于奇异值分解(SVD)的非比对方法被用于比较从酵母到人类的九个真核生物全基因组的预测蛋白质组。该分析同时鉴定并定义了大量高度保守的基序和基因家族,并生成了一个物种树,支持后生动物关系的两个相互冲突的假设之一。

结论

我们基于SVD对九个真核生物全基因组的整个蛋白质组进行的分析表明,高度保守的基序和基因家族可以在单个连贯的定义空间中被识别并有效比较,以便轻松提取基因树和物种树。虽然这一过程无需明确界定直系同源物或同源位点,但该分析可为这些定义提供基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d20c/544558/51299bd98883/1471-2105-5-204-1.jpg

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