• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

波动环境中微生物种群的最优生长策略。

Optimal resting-growth strategies of microbial populations in fluctuating environments.

机构信息

Departament de Fisica Fonamental, Facultat de Fisica, Universitat de Barcelona, Barcelona, Spain.

出版信息

PLoS One. 2011 Apr 15;6(4):e18622. doi: 10.1371/journal.pone.0018622.

DOI:10.1371/journal.pone.0018622
PMID:21525975
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3078108/
Abstract

Bacteria spend most of their lifetime in non-growing states which allow them to survive extended periods of stress and starvation. When environments improve, they must quickly resume growth to maximize their share of limited nutrients. Cells with higher stress resistance often survive longer stress durations at the cost of needing more time to resume growth, a strong disadvantage in competitive environments. Here we analyze the basis of optimal strategies that microorganisms can use to cope with this tradeoff. We explicitly show that the prototypical inverse relation between stress resistance and growth rate can explain much of the different types of behavior observed in stressed microbial populations. Using analytical mathematical methods, we determine the environmental parameters that decide whether cells should remain vegetative upon stress exposure, downregulate their metabolism to an intermediate optimum level, or become dormant. We find that cell-cell variability, or intercellular noise, is consistently beneficial in the presence of extreme environmental fluctuations, and that it provides an efficient population-level mechanism for adaption in a deteriorating environment. Our results reveal key novel aspects of responsive phenotype switching and its role as an adaptive strategy in changing environments.

摘要

细菌在大部分时间处于非生长状态,这使它们能够在长时间的压力和饥饿中存活下来。当环境改善时,它们必须迅速恢复生长,以最大限度地利用有限的营养物质。具有更高抗压力的细胞通常能在更长的压力持续时间内存活,但代价是需要更多的时间来恢复生长,这在竞争环境中是一个很大的劣势。在这里,我们分析了微生物可以用来应对这种权衡的最佳策略的基础。我们明确表明,抗压力和生长速度之间的典型反比关系可以解释在受压力的微生物群体中观察到的许多不同类型的行为。使用分析数学方法,我们确定了决定细胞在受到压力时是应该保持营养生长、下调代谢至中间最佳水平还是进入休眠状态的环境参数。我们发现,细胞间的变异性或细胞间噪声在环境剧烈波动的情况下始终是有益的,并且它为在恶化的环境中进行适应性进化提供了一种有效的群体水平机制。我们的研究结果揭示了响应表型转换的关键新方面及其在变化环境中作为适应性策略的作用。

相似文献

1
Optimal resting-growth strategies of microbial populations in fluctuating environments.波动环境中微生物种群的最优生长策略。
PLoS One. 2011 Apr 15;6(4):e18622. doi: 10.1371/journal.pone.0018622.
2
Switching and growth for microbial populations in catastrophic responsive environments.灾难性响应环境中微生物种群的转换和生长。
Biophys J. 2010 Apr 7;98(7):1099-108. doi: 10.1016/j.bpj.2009.11.049.
3
Optimality and adaptation of phenotypically switching cells in fluctuating environments.波动环境中表型转换细胞的最优性与适应性
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Dec;92(6):062716. doi: 10.1103/PhysRevE.92.062716. Epub 2015 Dec 31.
4
Transitions in optimal adaptive strategies for populations in fluctuating environments.在环境波动的种群中最优适应策略的转变。
Phys Rev E. 2017 Sep;96(3-1):032412. doi: 10.1103/PhysRevE.96.032412. Epub 2017 Sep 21.
5
Does dormancy increase fitness of bacterial populations in time-varying environments?在随时间变化的环境中,休眠是否会提高细菌种群的适应性?
Bull Math Biol. 2008 May;70(4):1140-62. doi: 10.1007/s11538-008-9294-5. Epub 2008 Feb 1.
6
Exclusion rules, bottlenecks and the evolution of stochastic phenotype switching.排除规则、瓶颈和随机表型转换的进化。
Proc Biol Sci. 2011 Dec 7;278(1724):3574-83. doi: 10.1098/rspb.2011.0146. Epub 2011 Apr 13.
7
Phenotypic diversity, population growth, and information in fluctuating environments.波动环境中的表型多样性、种群增长与信息
Science. 2005 Sep 23;309(5743):2075-8. doi: 10.1126/science.1114383. Epub 2005 Aug 25.
8
Microbial dormancy and boom-and-bust population dynamics under starvation stress.饥饿胁迫下的微生物休眠与兴衰交替的种群动态
Theor Popul Biol. 2018 Mar;120:114-120. doi: 10.1016/j.tpb.2018.02.001. Epub 2018 Feb 12.
9
Diversity in times of adversity: probabilistic strategies in microbial survival games.逆境中的多样性:微生物生存博弈中的概率策略
J Theor Biol. 2005 May 21;234(2):227-53. doi: 10.1016/j.jtbi.2004.11.020. Epub 2005 Jan 24.
10
Memory and fitness optimization of bacteria under fluctuating environments.波动环境下细菌的记忆与适应性优化
PLoS Genet. 2014 Sep 25;10(9):e1004556. doi: 10.1371/journal.pgen.1004556. eCollection 2014 Sep.

引用本文的文献

1
How memory and adaptation cost shape cell phenotypic dynamics in response to fluctuating environments.记忆和适应成本如何塑造细胞在波动环境中的表型动态变化。
bioRxiv. 2025 May 28:2025.05.24.655868. doi: 10.1101/2025.05.24.655868.
2
Stable, fluorescent markers for tracking synthetic communities and assembly dynamics.用于追踪人工群落和组装动态的稳定、荧光标记物。
Microbiome. 2024 May 7;12(1):81. doi: 10.1186/s40168-024-01792-2.
3
Functional regimes define the response of the soil microbiome to environmental change.功能机制定义了土壤微生物群落对环境变化的响应。

本文引用的文献

1
Automated imaging with ScanLag reveals previously undetectable bacterial growth phenotypes.使用 ScanLag 进行自动化成像可揭示以前无法检测到的细菌生长表型。
Nat Methods. 2010 Sep;7(9):737-9. doi: 10.1038/nmeth.1485. Epub 2010 Aug 1.
2
Regulation of phenotypic variability by a threshold-based mechanism underlies bacterial persistence.基于阈值的机制调节表型可变性是细菌持续存在的基础。
Proc Natl Acad Sci U S A. 2010 Jul 13;107(28):12541-6. doi: 10.1073/pnas.1004333107. Epub 2010 Jun 28.
3
Deciding fate in adverse times: sporulation and competence in Bacillus subtilis.
bioRxiv. 2024 May 28:2024.03.15.584851. doi: 10.1101/2024.03.15.584851.
4
Zinc effects on bacteria: insights from by multi-omics approach.锌对细菌的影响:多组学方法的研究见解。
mSystems. 2023 Dec 21;8(6):e0073323. doi: 10.1128/msystems.00733-23. Epub 2023 Oct 31.
5
Minorities drive growth resumption in cross-feeding microbial communities.少数群体推动互惠共生微生物群落的复苏增长。
Proc Natl Acad Sci U S A. 2023 Nov 7;120(45):e2301398120. doi: 10.1073/pnas.2301398120. Epub 2023 Oct 30.
6
Optimal phenotypic adaptation in fluctuating environments.最优表型适应波动环境。
Biophys J. 2023 Nov 21;122(22):4414-4424. doi: 10.1016/j.bpj.2023.10.019. Epub 2023 Oct 24.
7
Fitness Costs of Antibiotic Resistance Impede the Evolution of Resistance to Other Antibiotics.抗生素耐药性的适应成本会阻碍对其他抗生素产生耐药性的进化。
ACS Infect Dis. 2023 Oct 13;9(10):1834-1845. doi: 10.1021/acsinfecdis.3c00156. Epub 2023 Sep 19.
8
Wide lag time distributions break a trade-off between reproduction and survival in bacteria.宽滞后时间分布打破了细菌中繁殖和生存之间的权衡。
Proc Natl Acad Sci U S A. 2020 Aug 4;117(31):18729-18736. doi: 10.1073/pnas.2003331117. Epub 2020 Jul 15.
9
Lag Phase Is a Dynamic, Organized, Adaptive, and Evolvable Period That Prepares Bacteria for Cell Division.迟滞期是一个动态的、有组织的、自适应的和可进化的时期,它为细菌的细胞分裂做准备。
J Bacteriol. 2019 Mar 13;201(7). doi: 10.1128/JB.00697-18. Print 2019 Apr 1.
10
Added value of autoregulation and multi-step kinetics of transcription initiation.转录起始的自动调节和多步动力学的附加值。
R Soc Open Sci. 2018 Nov 28;5(11):181170. doi: 10.1098/rsos.181170. eCollection 2018 Nov.
逆境中决定命运:枯草芽孢杆菌的孢子形成和感受态。
Proc Natl Acad Sci U S A. 2009 Dec 15;106(50):21027-34. doi: 10.1073/pnas.0912185106. Epub 2009 Dec 7.
4
Induction kinetics of a conditional pH stress response system in Escherichia coli.大肠杆菌中条件性pH应激反应系统的诱导动力学
J Mol Biol. 2009 Oct 23;393(2):272-86. doi: 10.1016/j.jmb.2009.08.037. Epub 2009 Aug 21.
5
Influence of stress on single-cell lag time and growth probability for Listeria monocytogenes in half Fraser broth.应激对单核细胞增生李斯特菌在半 Fraser 肉汤中的单细胞延迟期和生长概率的影响。
Appl Environ Microbiol. 2009 May;75(10):3069-76. doi: 10.1128/AEM.02864-08. Epub 2009 Mar 20.
6
Small RNAs establish delays and temporal thresholds in gene expression.小RNA在基因表达中建立延迟和时间阈值。
Biophys J. 2008 Oct;95(7):3232-8. doi: 10.1529/biophysj.108.133819. Epub 2008 Jul 3.
7
Tuning gene expression to changing environments: from rapid responses to evolutionary adaptation.调整基因表达以适应不断变化的环境:从快速反应到进化适应。
Nat Rev Genet. 2008 Aug;9(8):583-93. doi: 10.1038/nrg2398.
8
Single-cell protein induction dynamics reveals a period of vulnerability to antibiotics in persister bacteria.单细胞蛋白诱导动力学揭示了持留菌对抗生素敏感的一段时期。
Proc Natl Acad Sci U S A. 2008 Apr 22;105(16):6145-9. doi: 10.1073/pnas.0711712105. Epub 2008 Apr 21.
9
Stochastic switching as a survival strategy in fluctuating environments.随机切换作为波动环境中的一种生存策略。
Nat Genet. 2008 Apr;40(4):471-5. doi: 10.1038/ng.110. Epub 2008 Mar 23.
10
Positive feedback and noise activate the stringent response regulator rel in mycobacteria.正反馈和噪声激活分枝杆菌中的严谨反应调节因子rel。
PLoS One. 2008 Mar 12;3(3):e1771. doi: 10.1371/journal.pone.0001771.