Suppr超能文献

肽组学,鉴定具有保守序列基序的新型拟南芥阳离子肽。

Peptomics, identification of novel cationic Arabidopsis peptides with conserved sequence motifs.

作者信息

Olsen Addie Nina, Mundy John, Skriver Karen

机构信息

Institute of Molecular Biology, University of Copenhagen, Oster Farimagsgade 2A, DK-1353 Copenhagen K, Denmark.

出版信息

In Silico Biol. 2002;2(4):441-51.

Abstract

Few plant peptides involved in intercellular communication have been experimentally isolated. Sequence analysis of the Arabidopsis thaliana genome has revealed numerous transmembrane receptors predicted to bind proteinacious ligands, emphasizing the importance of identifying peptides with signaling function. Annotation of the Arabidopsis genome sequence has made it possible to identify peptide-encoding genes. However, such annotational identification is impeded because small genes are poorly predicted by gene-prediction algorithms, thus prompting the alternative approaches described here. We initially performed a systematic analysis of short polypeptides encoded by annotated genes on two Arabidopsis chromosomes using SignalP to identify potentially secreted peptides. Subsequent homology searches with selected, putatively secreted peptides, led to the identification of a potential, large Arabidopsis family of 34 genes. The predicted peptides are characterized by a conserved C-terminal sequence motif and additional primary structure conservation in a core region. The majority of these genes had not previously been annotated. A subset of the predicted peptides show high overall sequence similarity to Rapid Alkalinization Factor (RALF), a peptide isolated from tobacco. We therefore refer to this peptide family as RALFL for RALF-Like. RT-PCR analysis confirmed that several of the Arabidopsis genes are expressed and that their expression patterns vary. The identification of a large gene family in the genome of the model organism Arabidopsis thaliana demonstrates that a combination of systematic analysis and homology searching can contribute to peptide discovery.

摘要

目前通过实验分离得到的参与细胞间通讯的植物肽很少。对拟南芥基因组的序列分析揭示了众多预测可结合蛋白质配体的跨膜受体,这凸显了鉴定具有信号传导功能肽段的重要性。拟南芥基因组序列的注释使得鉴定肽编码基因成为可能。然而,由于基因预测算法对小基因的预测效果不佳,这种注释鉴定受到了阻碍,因此促使我们采用本文所述的替代方法。我们最初使用SignalP对拟南芥两条染色体上注释基因编码的短多肽进行了系统分析,以鉴定潜在的分泌肽。随后,对选定的假定分泌肽进行同源性搜索,从而鉴定出一个由34个基因组成的潜在的大型拟南芥家族。预测的肽段具有保守的C端序列基序以及核心区域额外的一级结构保守性。这些基因中的大多数以前未被注释。预测肽段的一个子集与从烟草中分离出的一种肽——快速碱化因子(RALF)具有高度的整体序列相似性。因此,我们将这个肽家族称为RALFL(类RALF)。RT-PCR分析证实,拟南芥的几个基因是有表达的,并且它们的表达模式各不相同。在模式生物拟南芥基因组中鉴定出一个大型基因家族,这表明系统分析和同源性搜索相结合有助于肽段的发现。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验