Growth-phase-dependent control of rRNA synthesis in Saccharomyces cerevisiae.

IF 3.7 2区 生物学 Q2 MICROBIOLOGY
mSphere Pub Date : 2024-10-29 Epub Date: 2024-10-03 DOI:10.1128/msphere.00493-24
Catarina A Mendes Felgueira, David A Schneider
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引用次数: 0

Abstract

Saccharomyces cerevisiae is one of the most well-studied model organisms used in the scientific community. Its ease of manipulation, accessible growth conditions, short life cycle, and conserved eukaryotic metabolic pathways make it a useful model organism. Consequently, yeast has been used to investigate a myriad of phenomena, from microbial to human studies. Most of the research performed using this model organism utilizes yeast cell populations when they are growing exponentially, a growth phase aptly termed exponential or log phase. However, log phase encompasses several yeast generations and ranges several hours of yeast growth, meaning that there is a potential for variability during this "homogenous" growth phase. Cells in log phase require robust ribosome biogenesis to support their rapid growth and cell division. Interestingly, during log phase, ribosomal RNA (rRNA) synthesis (which is the first and rate limiting step in ribosome biosynthesis) has been shown to decrease prior to growth rate decline in stationary phase. In this study, we utilized several genomic and biochemical methods to elucidate the relationship between subphases of log phase and rRNA synthesis. Our results indicate that as yeast cells progress through subphases of log growth, both polymerase I transcription and rRNA processing are repressed. Overall, this study establishes a growth-phase-dependent control of rRNA synthesis that unexpectedly begins prior to the switch to stationary phase (i.e., pre-diauxic shift) as a putative mechanism of anticipating nutrient starvation.IMPORTANCESaccharomyces cerevisiae is a ubiquitously used model organism in a wide range of scientific research fields. The conventional practice when performing yeast studies is to investigate its properties during logarithmic growth phase. This growth phase is defined as the period during which the cell population doubles at regular intervals, and nutrients are not limiting. However, this growth phase lasts hours and encompasses several yeast cell generations which consequently introduce heterogeneity to log growth phase depending on their time of harvest. This study reveals significant changes in the transcriptomic landscape even in early stages of exponential growth. The overall significance of this work is the revelation that even the seemingly homogenous log growth phase is far more diverse than was previously believed.

生长阶段对酿酒酵母中 rRNA 合成的控制。
酿酒酵母是科学界研究得最多的模式生物之一。酵母菌易于操作、生长条件容易获得、生命周期短以及真核生物代谢途径的保守性使其成为一种有用的模式生物。因此,酵母被用来研究从微生物到人类的各种现象。利用这种模式生物进行的大多数研究都是在酵母细胞群呈指数增长时进行的,这一增长阶段被恰当地称为指数期或对数期。然而,对数期包含了几代酵母和几个小时的酵母生长,这意味着在这一 "同质 "生长阶段可能存在变异。处于对数期的细胞需要强大的核糖体生物生成来支持其快速生长和细胞分裂。有趣的是,在对数生长期,核糖体 RNA(rRNA)合成(核糖体生物合成的第一步,也是限制速率的一步)在静止期生长速率下降之前就已经减少。在本研究中,我们利用多种基因组学和生物化学方法来阐明对数期子阶段与 rRNA 合成之间的关系。我们的研究结果表明,随着酵母细胞进入对数生长亚阶段,聚合酶 I 的转录和 rRNA 的加工都会受到抑制。总之,这项研究建立了一种依赖于生长阶段的 rRNA 合成控制,这种控制意外地开始于静止期转换之前(即前二叠体转变),是一种预测营养饥饿的假定机制。重要意义酵母菌是一种广泛应用于科学研究领域的模式生物。进行酵母研究的传统做法是研究其对数生长阶段的特性。对数生长期是指细胞数量每隔一段时间就增加一倍,且营养物质不受限制的时期。然而,这一生长阶段持续数小时,包含数代酵母细胞,因此对数生长阶段会因收获时间的不同而产生异质性。这项研究揭示了即使在指数生长的早期阶段,转录组也会发生重大变化。这项工作的总体意义在于揭示了即使是看似同质的对数生长期也比以前认为的要多样化得多。
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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来源期刊
mSphere
mSphere Immunology and Microbiology-Microbiology
CiteScore
8.50
自引率
2.10%
发文量
192
审稿时长
11 weeks
期刊介绍: mSphere™ is a multi-disciplinary open-access journal that will focus on rapid publication of fundamental contributions to our understanding of microbiology. Its scope will reflect the immense range of fields within the microbial sciences, creating new opportunities for researchers to share findings that are transforming our understanding of human health and disease, ecosystems, neuroscience, agriculture, energy production, climate change, evolution, biogeochemical cycling, and food and drug production. Submissions will be encouraged of all high-quality work that makes fundamental contributions to our understanding of microbiology. mSphere™ will provide streamlined decisions, while carrying on ASM''s tradition for rigorous peer review.
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