Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics.

microLife Pub Date : 2023-03-10 eCollection Date: 2023-01-01 DOI:10.1093/femsml/uqad012
Lydia Hadjeras, Benjamin Heiniger, Sandra Maaß, Robina Scheuer, Rick Gelhausen, Saina Azarderakhsh, Susanne Barth-Weber, Rolf Backofen, Dörte Becher, Christian H Ahrens, Cynthia M Sharma, Elena Evguenieva-Hackenberg
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Abstract

The soil-dwelling plant symbiont Sinorhizobium meliloti is a major model organism of Alphaproteobacteria. Despite numerous detailed OMICS studies, information about small open reading frame (sORF)-encoded proteins (SEPs) is largely missing, because sORFs are poorly annotated and SEPs are hard to detect experimentally. However, given that SEPs can fulfill important functions, identification of translated sORFs is critical for analyzing their roles in bacterial physiology. Ribosome profiling (Ribo-seq) can detect translated sORFs with high sensitivity, but is not yet routinely applied to bacteria because it must be adapted for each species. Here, we established a Ribo-seq procedure for S. meliloti 2011 based on RNase I digestion and detected translation for 60% of the annotated coding sequences during growth in minimal medium. Using ORF prediction tools based on Ribo-seq data, subsequent filtering, and manual curation, the translation of 37 non-annotated sORFs with ≤ 70 amino acids was predicted with confidence. The Ribo-seq data were supplemented by mass spectrometry (MS) analyses from three sample preparation approaches and two integrated proteogenomic search database (iPtgxDB) types. Searches against standard and 20-fold smaller Ribo-seq data-informed custom iPtgxDBs confirmed 47 annotated SEPs and identified 11 additional novel SEPs. Epitope tagging and Western blot analysis confirmed the translation of 15 out of 20 SEPs selected from the translatome map. Overall, by combining MS and Ribo-seq approaches, the small proteome of S. meliloti was substantially expanded by 48 novel SEPs. Several of them are part of predicted operons and/or are conserved from Rhizobiaceae to Bacteria, suggesting important physiological functions.

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通过核糖体分析和蛋白质组学揭示植物共生体瓜萎镰刀菌(Sinorhizobium meliloti)的小蛋白质组。
生活在土壤中的植物共生体美乐藻单胞菌(Sinorhizobium meliloti)是一种重要的低等变形菌(Alphaproteobacteria)模式生物。尽管进行了大量详细的 OMICS 研究,但有关小开放阅读框(sORF)编码蛋白(SEPs)的信息在很大程度上仍然缺失,因为 sORF 的注释很少,而且 SEPs 很难通过实验检测到。然而,由于 SEPs 可发挥重要功能,因此鉴定翻译的 sORFs 对于分析它们在细菌生理学中的作用至关重要。核糖体图谱分析(Ribo-seq)可以高灵敏度地检测翻译的sORFs,但由于必须针对每个物种进行调整,因此尚未常规应用于细菌。在此,我们为 S. meliloti 2011 建立了基于 RNase I 消化的 Ribo-seq 程序,并检测了在最小培养基中生长期间 60% 的注释编码序列的翻译。利用基于 Ribo-seq 数据的 ORF 预测工具、随后的过滤和人工编辑,我们有把握地预测出 37 个氨基酸≤ 70 个的非注释 sORF 的翻译。三种样品制备方法和两种集成蛋白质组搜索数据库(iPtgxDB)类型的质谱分析对核糖测序数据进行了补充。根据标准和小20倍的Ribo-seq数据信息定制的iPtgxDB进行搜索,确认了47个已注释的SEPs,并发现了11个新的SEPs。表位标记和 Western 印迹分析确认了从翻译组图谱中选出的 20 个 SEPs 中的 15 个的翻译。总之,通过结合 MS 和 Ribo-seq 方法,S. meliloti 的小蛋白质组由 48 个新的 SEPs 大幅扩展。其中有几个是预测操作子的一部分和/或是从根瘤菌到细菌中保守的,这表明它们具有重要的生理功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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