Sander K. Govers, Manuel Campos, Bhavyaa Tyagi, Géraldine Laloux, Christine Jacobs-Wagner
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引用次数: 0
摘要
为了研究细菌如何在不同条件下实现稳健的细胞增殖,我们开发了一种方法,可以量化荧光标记大肠杆菌菌株和 800 基因缺失衍生物在多种营养条件下的 77 种细胞形态、细胞周期和生长表型。这种方法揭示了广泛的表型可塑性,偏离的突变体表型往往依赖于营养物质。从这一广泛的表型景观中,出现了简单而稳健的统一规则(定律),这些规则在群体水平上将 DNA 复制启动、核仁分离、FtsZ 环形成和细胞收缩与细胞大小(体积、长度或附加长度)的特定方面联系起来。此外,在不同菌株和营养条件下,细胞分裂的完成都会在细胞收缩开始后出现恒定的时间延迟,这表明细胞收缩是决定细胞大小的关键控制点。我们的工作在群体水平上描述了大肠杆菌将细胞周期过程和生长速度与细胞大小结合起来以实现其强大增殖能力的管理原理。
Apparent simplicity and emergent robustness in the control of the Escherichia coli cell cycle
To examine how bacteria achieve robust cell proliferation across diverse conditions, we developed a method that quantifies 77 cell morphological, cell cycle, and growth phenotypes of a fluorescently labeled Escherichia coli strain and >800 gene deletion derivatives under multiple nutrient conditions. This approach revealed extensive phenotypic plasticity and deviating mutant phenotypes were often nutrient dependent. From this broad phenotypic landscape emerged simple and robust unifying rules (laws) that connect DNA replication initiation, nucleoid segregation, FtsZ ring formation, and cell constriction to specific aspects of cell size (volume, length, or added length) at the population level. Furthermore, completion of cell division followed the initiation of cell constriction after a constant time delay across strains and nutrient conditions, identifying cell constriction as a key control point for cell size determination. Our work provides a population-level description of the governing principles by which E. coli integrates cell cycle processes and growth rate with cell size to achieve its robust proliferative capability.
A record of this paper’s transparent peer review process is included in the supplemental information.
Cell SystemsMedicine-Pathology and Forensic Medicine
CiteScore
16.50
自引率
1.10%
发文量
84
审稿时长
42 days
期刊介绍:
In 2015, Cell Systems was founded as a platform within Cell Press to showcase innovative research in systems biology. Our primary goal is to investigate complex biological phenomena that cannot be simply explained by basic mathematical principles. While the physical sciences have long successfully tackled such challenges, we have discovered that our most impactful publications often employ quantitative, inference-based methodologies borrowed from the fields of physics, engineering, mathematics, and computer science. We are committed to providing a home for elegant research that addresses fundamental questions in systems biology.