Center for Biomolecular Sciences, University of Illinois at Chicagogrid.185648.6, Chicago, Illinois, USA.
Molecular Infection Biology II, Institute of Molecular Infection Biology, University of Würzburg, Würzburg, Germany.
J Bacteriol. 2022 Jan 18;204(1):e0029421. doi: 10.1128/JB.00294-21. Epub 2021 Aug 2.
Small proteins encoded by open reading frames (ORFs) shorter than 50 codons (small ORFs [sORFs]) are often overlooked by annotation engines and are difficult to characterize using traditional biochemical techniques. Ribosome profiling has tremendous potential to empirically improve the annotations of prokaryotic genomes. Recent improvements in ribosome profiling methods for bacterial model organisms have revealed many new sORFs in well-characterized genomes. Antibiotics that trap ribosomes just after initiation have played a key role in these developments by allowing the unambiguous identification of the start codons (and, hence, the reading frame) for novel ORFs. Here, we describe these new methods and highlight critical controls and considerations for adapting ribosome profiling to different prokaryotic species.
由 50 个密码子以下的开放阅读框(ORFs)编码的小蛋白通常被注释引擎忽略,并且使用传统的生化技术难以进行表征。核糖体图谱分析具有通过经验改善原核基因组注释的巨大潜力。最近,细菌模式生物的核糖体图谱分析方法的改进揭示了在特征良好的基因组中许多新的 sORFs。起始后捕获核糖体的抗生素在这些发展中发挥了关键作用,它们可以明确鉴定新 ORF 的起始密码子(因此,阅读框)。在这里,我们描述了这些新方法,并强调了将核糖体图谱分析应用于不同原核物种的关键控制和考虑因素。