Tracking bacterial lineages in complex and dynamic environments with applications for growth control and persistence.
Tracking bacterial lineages in complex and dynamic environments with applications for growth control and persistence.
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在复杂和动态环境中跟踪细菌谱系，并应用于生长控制和持久性。
DOI：
10.1038/s41564-021-00900-4
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发表时间：
2021-06
影响因子：
28.3
通讯作者：
中科院分区：
文献类型：
--
作者：
随着细菌从指数期过渡到稳定期，它们的大小、形态、生长和表达谱发生显着变化。这些反应在单个细胞之间也是不同的，但是已经证明很难沿着生长曲线沿着追踪细胞谱系以确定事件的进展或单个细胞如何进入和退出休眠之间的相关性。在这里，我们开发了一个平台，用于在密集和不断变化的培养物中跟踪超过105个平行细胞谱系，独立验证成像细胞密切跟踪批次群体。最初的应用表明，对于大肠杆菌和枯草芽孢杆菌，生长变化从一个“加法器”模式在指数阶段的混合“加法器定时器”进入稳定期，然后一个近乎完美的“sizer”后退出创建广泛分布的细胞大小在稳定期，但迅速返回到狭窄分布的大小后退出。此外，当进入静止期时经历更多分裂的细胞在长时间休眠后存活率降低，但它们是唯一观察到的在抗生素处理后存活的细胞。
As bacteria transition from exponential to stationary phase, they change substantially in size, morphology, growth and expression profiles. These responses also vary between individual cells, but it has proved difficult to track cell lineages along the growth curve to determine the progression of events or correlations between how individual cells enter and exit dormancy. Here, we developed a platform for tracking more than 105 parallel cell lineages in dense and changing cultures, independently validating that the imaged cells closely track batch populations. Initial applications show that for both Escherichia coli and Bacillus subtilis, growth changes from an ‘adder’ mode in exponential phase to mixed ‘adder–timers’ entering stationary phase, and then a near-perfect ‘sizer’ upon exit—creating broadly distributed cell sizes in stationary phase but rapidly returning to narrowly distributed sizes upon exit. Furthermore, cells that undergo more divisions when entering stationary phase suffer reduced survival after long periods of dormancy but are the only cells observed that persist following antibiotic treatment.
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影响因子：
28.3
作者：
Eun, Ye-Jin;Ho, Po-Yi;Amir, Ariel
通讯作者：
Amir, Ariel
影响因子：
3.2
作者：
Konopka, Michael C.;Sochacki, Kem A.;Weisshaar, James C.
通讯作者：
Weisshaar, James C.
影响因子：
9.8
作者：
Bódi Z;Farkas Z;Nevozhay D;Kalapis D;Lázár V;Csörgő B;Nyerges Á;Szamecz B;Fekete G;Papp B;Araújo H;Oliveira JL;Moura G;Santos MAS;Székely T Jr;Balázsi G;Pál C
通讯作者：
Pál C
影响因子：
16.6
作者：
Cadart C;Monnier S;Grilli J;Sáez PJ;Srivastava N;Attia R;Terriac E;Baum B;Cosentino-Lagomarsino M;Piel M
通讯作者：
Piel M
影响因子：
56.9
作者：
Gonzalez-Pastor, JE;Hobbs, EC;Losick, R
通讯作者：
Losick, R