ReviewCurrent genetics2019
On the duration of the microbial lag phase.
Review in Current genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
35 citing papers in PubMed.
- Applying nephelometry for analyzing liquid yeast cultures.Biochemistry and biophysics reports · 2026Article
- Community state shifts driven by total carbon availability over resource complexity in a synthetic microbial community.ISME communications · 2026Article
- Species-level taxonomic characterization enhances the power of saliva and feces stain microbiota for inferring the time since deposition (TsD).International journal of legal medicine · 2026Article
- Trainable computation in molecular networks.bioRxiv : the preprint server for biology · 2025Article
- Phenotypic heterogeneity in lag reflects an evolutionarily stable bet-hedging strategy.bioRxiv : the preprint server for biology · 2025Article
- Isothermal microcalorimetry analysis of microencapsulated Yamadazyma mexicana LPa14: release and antifungal activity against Colletotrichum gloeosporioides.Archives of microbiology · 2025Article
- Toxicological and Functional Assessment of Minicell-Encapsulated dsRNA on Biocontrol Agents in Agriculture.ACS environmental Au · 2025Article
- Rheology and Culture Reproducibility of Filamentous Microorganisms: Impact of Flow Behavior and Oxygen Transfer During Salt-Enhanced Cultivation of the ActinomyceteEngineering in life sciences · 2025Article
- Assessing methods for estimating microbial lag phase duration: a comparative analysis using Saccharomyces cerevisiae empirical and simulated data.FEMS yeast research · 2025Article
- Chronic wounds and adaptiveCurrent research in microbial sciences · 2025Article
- From yeast screening for suitability as single cell protein to fed-batch cultures.Biotechnology letters · 2024Article
- Environmental memory alters the fitness effects of adaptive mutations in fluctuating environments.Nature ecology & evolution · 2024Article
- Extracellular Self-DNA Effects on Yeast Cell Cycle and Transcriptome during Batch Growth.Biomolecules · 2024Article
- Emergence of Orchestrated and Dynamic Metabolism ofACS synthetic biology · 2024Article
- Riboproteome remodeling during quiescence exit iniScience · 2024Article
- Four ways of implementing robustness quantification in strain characterisation.Biotechnology for biofuels and bioproducts · 2023Article
- Strong environmental memory revealed by experimental evolution in static and fluctuating environments.bioRxiv : the preprint server for biology · 2023Article
- Electro-stimulation of tofu wastewater for the production of single cell protein from various microorganisms.Saudi journal of biological sciences · 2023Article
- Application of Artificial Neural Network for predicting biomass growth during domestic wastewater treatment through a biological process.Engineering in life sciences · 2023Article
- Tradeoff between lag time and growth rate drives the plasmid acquisition cost.Nature communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
When faced with environmental changes, microbes enter a lag phase during which cell growth is arrested, allowing cells to adapt to the new situation. The discovery of the lag phase started the field of gene regulation and led to the unraveling of underlying mechanisms. However, the factors determining the exact duration and dynamics of the lag phase remain largely elusive. Naively, one would expect that cells adapt as quickly as possible, so they can resume growth and compete with other organisms. However, recent studies show that the lag phase can last from several hours up to several days. Moreover, some cells within the same population take much longer than others, despite being genetically identical. In addition, the lag phase duration is also influenced by the past, with recent exposure to a given environment leading to a quicker adaptation when that environment returns. Genome-wide screens in Saccharomyces cerevisiae on carbon source shifts now suggest that the length of the lag phase, the heterogeneity in lag times of individual cells, and the history-dependent behavior are not determined by the time it takes to induce a few specific genes related to uptake and metabolism of a new carbon source. Instead, a major shift in general metabolism, and in particular a switch between fermentation and respiration, is the major bottleneck that determines lag duration. This suggests that there may be a fitness trade-off between complete adaptation of a cell's metabolism to a given environment, and a short lag phase when the environment changes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.