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MtSSPdb:小型分泌肽数据库。

MtSSPdb: The Small Secreted Peptide Database.

机构信息

Noble Research Institute, Ardmore, Oklahoma 73401.

Department of Biochemistry and Molecular Biology, Plant Resilience Institute, Michigan State University, East Lansing, Michigan 48824.

出版信息

Plant Physiol. 2020 May;183(1):399-413. doi: 10.1104/pp.19.01088. Epub 2020 Feb 20.

Abstract

A growing number of small secreted peptides (SSPs) in plants are recognized as important regulatory molecules with roles in processes such as growth, development, reproduction, stress tolerance, and pathogen defense. Recent discoveries further implicate SSPs in regulating root nodule development, which is of particular significance for legumes. SSP-coding genes are frequently overlooked, because genome annotation pipelines generally ignore small open reading frames, which are those most likely to encode SSPs. Also, SSP-coding small open reading frames are often expressed at low levels or only under specific conditions, and thus are underrepresented in non-tissue-targeted or non-condition-optimized RNA-sequencing projects. We previously identified 4,439 SSP-encoding genes in the model legume To support systematic characterization and annotation of these putative SSP-encoding genes, we developed the Small Secreted Peptide Database (MtSSPdb; https://mtsspdb.noble.org/). MtSSPdb currently hosts (1) a compendium of SSP candidates with putative function and family annotations; (2) a large-scale RNA-sequencing-based gene expression atlas integrated with various analytical tools, including differential expression, coexpression, and pathway enrichment analyses; (3) an online plant SSP prediction tool capable of analyzing protein sequences at the genome scale using the same protocol as for the identification of SSP genes; and (4) information about a library of synthetic peptides and root and nodule phenotyping data from synthetic peptide screens in planta. These datasets and analytical tools make MtSSPdb a unique and valuable resource for the plant research community. MtSSPdb also has the potential to become the most complete database of SSPs in plants.

摘要

越来越多的植物中小分泌肽 (SSP) 被认为是重要的调节分子,在生长、发育、繁殖、应激耐受和病原体防御等过程中发挥作用。最近的发现进一步表明 SSP 参与调节根瘤发育,这对豆科植物尤为重要。SSP 编码基因经常被忽视,因为基因组注释管道通常忽略小开放阅读框,而这些小开放阅读框最有可能编码 SSP。此外,SSP 编码的小开放阅读框通常表达水平较低或仅在特定条件下表达,因此在非组织靶向或非条件优化的 RNA 测序项目中代表性不足。我们之前在模式豆科植物中鉴定了 4439 个 SSP 编码基因。为了支持对这些假定的 SSP 编码基因进行系统的表征和注释,我们开发了 Small Secreted Peptide Database (MtSSPdb; https://mtsspdb.noble.org/)。MtSSPdb 目前拥有:(1) 具有假定功能和家族注释的 SSP 候选物汇编;(2) 大规模基于 RNA 测序的基因表达图谱,集成了各种分析工具,包括差异表达、共表达和途径富集分析;(3) 一个在线植物 SSP 预测工具,能够使用与识别 SSP 基因相同的协议在基因组范围内分析蛋白质序列;(4) 关于合成肽文库以及在植物中进行合成肽筛选的根和根瘤表型数据的信息。这些数据集和分析工具使 MtSSPdb 成为植物研究界独特而有价值的资源。MtSSPdb 还有潜力成为植物中最完整的 SSP 数据库。

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