Optimization of ribosome profiling in plants including structural analysis of rRNA fragments

IF 4.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Plant Methods Pub Date : 2024-09-16 DOI:10.1186/s13007-024-01267-3
Michael K. Y. Ting, Yang Gao, Rouhollah Barahimipour, Rabea Ghandour, Jinghan Liu, Federico Martinez-Seidel, Julia Smirnova, Vincent Leon Gotsmann, Axel Fischer, Michael J. Haydon, Felix Willmund, Reimo Zoschke
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Abstract

Ribosome profiling (or Ribo-seq) is a technique that provides genome-wide information on the translational landscape (translatome). Across different plant studies, variable methodological setups have been described which raises questions about the general comparability of data that were generated from diverging methodologies. Furthermore, a common problem when performing Ribo-seq are abundant rRNA fragments that are wastefully incorporated into the libraries and dramatically reduce sequencing depth. To remove these rRNA contaminants, it is common to perform preliminary trials to identify these fragments because they are thought to vary depending on nuclease treatment, tissue source, and plant species. Here, we compile valuable insights gathered over years of generating Ribo-seq datasets from different species and experimental setups. We highlight which technical steps are important for maintaining cross experiment comparability and describe a highly efficient approach for rRNA removal. Furthermore, we provide evidence that many rRNA fragments are structurally preserved over diverse nuclease regimes, as well as across plant species. Using a recently published cryo-electron microscopy (cryo-EM) structure of the tobacco 80S ribosome, we show that the most abundant rRNA fragments are spatially derived from the solvent-exposed surface of the ribosome. The guidelines presented here shall aid newcomers in establishing ribosome profiling in new plant species and provide insights that will help in customizing the methodology for individual research goals.
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优化植物核糖体分析,包括 rRNA 片段的结构分析
核糖体分析(或 Ribo-seq)是一种提供全基因组翻译图谱(translatome)信息的技术。在不同的植物研究中,描述的方法设置各不相同,这就对不同方法产生的数据的一般可比性提出了疑问。此外,在进行 Ribo-seq 测序时,一个常见的问题是大量的 rRNA 片段被浪费地纳入文库中,大大降低了测序深度。要清除这些 rRNA 杂质,通常需要进行初步试验来识别这些片段,因为它们会因核酸酶处理、组织来源和植物种类的不同而变化。在此,我们汇编了多年来从不同物种和实验设置中生成 Ribo-seq 数据集的宝贵经验。我们强调了哪些技术步骤对于保持跨实验可比性非常重要,并介绍了一种高效的 rRNA 去除方法。此外,我们还提供了证据,证明许多 rRNA 片段在不同核酸酶机制以及不同植物物种中都得到了结构上的保留。利用最近发表的烟草 80S 核糖体的冷冻电子显微镜(cryo-EM)结构,我们表明最丰富的 rRNA 片段在空间上来自核糖体的溶剂暴露表面。本文介绍的指南将有助于新手在新植物物种中建立核糖体图谱,并提供有助于根据个人研究目标定制方法的见解。
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来源期刊
Plant Methods
Plant Methods 生物-植物科学
CiteScore
9.20
自引率
3.90%
发文量
121
审稿时长
2 months
期刊介绍: Plant Methods is an open access, peer-reviewed, online journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences. There is no doubt that we have entered an exciting new era in plant biology. The completion of the Arabidopsis genome sequence, and the rapid progress being made in other plant genomics projects are providing unparalleled opportunities for progress in all areas of plant science. Nevertheless, enormous challenges lie ahead if we are to understand the function of every gene in the genome, and how the individual parts work together to make the whole organism. Achieving these goals will require an unprecedented collaborative effort, combining high-throughput, system-wide technologies with more focused approaches that integrate traditional disciplines such as cell biology, biochemistry and molecular genetics. Technological innovation is probably the most important catalyst for progress in any scientific discipline. Plant Methods’ goal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.
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