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新型基因组肽发现器与 AUGUSTUS 的协同作用可实现莱茵衣藻基因组的自动化蛋白基因组注释。

Concerted action of the new Genomic Peptide Finder and AUGUSTUS allows for automated proteogenomic annotation of the Chlamydomonas reinhardtii genome.

机构信息

Institute of Plant Biology and Biotechnology, University of Münster, Münster, Germany.

出版信息

Proteomics. 2011 May;11(9):1814-23. doi: 10.1002/pmic.201000621. Epub 2011 Mar 22.

Abstract

The use and development of post-genomic tools naturally depends on large-scale genome sequencing projects. The usefulness of post-genomic applications is dependent on the accuracy of genome annotations, for which the correct identification of intron-exon borders in complex genomes of eukaryotic organisms is often an error-prone task. Although automated algorithms for predicting intron-exon structures are available, supporting exon evidence is necessary to achieve comprehensive genome annotation. Besides cDNA and EST support, peptides identified via MS/MS can be used as extrinsic evidence in a proteogenomic approach. We describe an improved version of the Genomic Peptide Finder (GPF), which aligns de novo predicted amino acid sequences to the genomic DNA sequence of an organism while correcting for peptide sequencing errors and accounting for the possibility of splicing. We have coupled GPF and the gene finding program AUGUSTUS in a way that provides automatic structural annotations of the Chlamydomonas reinhardtii genome, using highly unbiased GPF evidence. A comparison of the AUGUSTUS gene set incorporating GPF evidence to the standard JGI FM4 (Filtered Models 4) gene set reveals 932 GPF peptides that are not contained in the Filtered Models 4 gene set. Furthermore, the GPF evidence improved the AUGUSTUS gene models by altering 65 gene models and adding three previously unidentified genes.

摘要

后基因组工具的使用和开发自然依赖于大规模的基因组测序项目。后基因组应用的有用性取决于基因组注释的准确性,而真核生物复杂基因组中外显子-内含子边界的正确识别通常是一项容易出错的任务。尽管有用于预测内含子-外显子结构的自动化算法,但要实现全面的基因组注释,还需要支持外显子的证据。除了 cDNA 和 EST 的支持外,通过 MS/MS 鉴定的肽段也可以在蛋白质基因组学方法中用作外在证据。我们描述了一种改进的基因组肽段查找器(GPF),它可以在纠正肽段测序错误并考虑到剪接可能性的情况下,将从头预测的氨基酸序列与生物体的基因组 DNA 序列进行比对。我们将 GPF 和基因预测程序 AUGUSTUS 结合在一起,使用高度无偏的 GPF 证据,自动对莱茵衣藻基因组进行结构注释。将包含 GPF 证据的 AUGUSTUS 基因集与标准 JGI FM4(Filtered Models 4)基因集进行比较,发现有 932 个 GPF 肽段不在 Filtered Models 4 基因集中。此外,GPF 证据通过改变 65 个基因模型并添加了 3 个以前未识别的基因,改进了 AUGUSTUS 基因模型。

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