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谱系空间与细菌细胞经历生长转变的倾向。

Lineage space and the propensity of bacterial cells to undergo growth transitions.

机构信息

Center for Computational Biology, Department of Molecular Biosciences, University of Kansas, Lawrence, KS United States of America.

出版信息

PLoS Comput Biol. 2018 Aug 22;14(8):e1006380. doi: 10.1371/journal.pcbi.1006380. eCollection 2018 Aug.

Abstract

The molecular makeup of the offspring of a dividing cell gradually becomes phenotypically decorrelated from the parent cell by noise and regulatory mechanisms that amplify phenotypic heterogeneity. Such regulatory mechanisms form networks that contain thresholds between phenotypes. Populations of cells can be poised near the threshold so that a subset of the population probabilistically undergoes the phenotypic transition. We sought to characterize the diversity of bacterial populations around a growth-modulating threshold via analysis of the effect of non-genetic inheritance, similar to conditions that create antibiotic-tolerant persister cells and other examples of bet hedging. Using simulations and experimental lineage data in Escherichia coli, we present evidence that regulation of growth amplifies the dependence of growth arrest on cellular lineage, causing clusters of related cells undergo growth arrest in certain conditions. Our simulations predict that lineage correlations and the sensitivity of growth to changes in toxin levels coincide in a critical regime. Below the critical regime, the sizes of related growth arrested clusters are distributed exponentially, while in the critical regime clusters sizes are more likely to become large. Furthermore, phenotypic diversity can be nearly as high as possible near the critical regime, but for most parameter values it falls far below the theoretical limit. We conclude that lineage information is indispensable for understanding regulation of cellular growth.

摘要

分裂细胞的后代的分子组成逐渐通过噪声和放大表型异质性的调节机制与亲代细胞表现出表型脱相关。这种调节机制形成包含表型之间阈值的网络。细胞群体可以在阈值附近保持平衡,以至于群体的一部分子集概率地经历表型转变。我们试图通过分析非遗传遗传的影响来描述生长调节阈值周围细菌群体的多样性,类似于产生抗生素耐受持久细胞和其他赌注对冲例子的条件。使用大肠杆菌中的模拟和实验谱系数据,我们提供的证据表明,生长的调节放大了生长停滞对细胞谱系的依赖性,导致在某些条件下相关细胞簇经历生长停滞。我们的模拟预测,谱系相关性和毒素水平变化对生长的敏感性在关键状态下一致。在关键状态以下,相关生长停止簇的大小呈指数分布,而在关键状态下,簇的大小更有可能变大。此外,表型多样性在接近临界状态时几乎可以达到最高,但对于大多数参数值,它远低于理论极限。我们的结论是,谱系信息对于理解细胞生长的调节是必不可少的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aafd/6122811/3e732662c86c/pcbi.1006380.g001.jpg

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