Evidence map›Paper›PMID 20835748›Full record

ArticleJournal of industrial microbiology & biotechnology2010

The renaissance of continuous culture in the post-genomics age.

Alan T Bull

Abstract readHistorical Article
PubMed Publisher
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

  1. An untargeted metabolomics approach to study changes of the medium during human cornea culture.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  2. Sortase-encoding genes,Frontiers in microbiology · 2024
    Article
  3. Article
  4. Long-term evolution of proliferating cells using the eVOLVER platform.bioRxiv : the preprint server for biology · 2023
    Article
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  7. Review
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  13. Quantitative models of nitrogen-fixing organisms.Computational and structural biotechnology journal · 2020
    Review
  14. Revisiting the Growth Modulon ofFrontiers in bioengineering and biotechnology · 2020
    Article
  15. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Alan T BullSchool of Biosciences, University of Kent, Canterbury, Kent CT27NJ, UK. A.T.Bull@kent.ac.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of continuous culture techniques 60 years ago and the subsequent formulation of theory and the diversification of experimental systems revolutionised microbiology and heralded a unique period of innovative research. Then, progressively, molecular biology and thence genomics and related high-information-density omics technologies took centre stage and microbial growth physiology in general faded from educational programmes and research funding priorities alike. However, there has been a gathering appreciation over the past decade that if the claims of systems biology are going to be realised, they will have to be based on rigorously controlled and reproducible microbial and cell growth platforms. This revival of continuous culture will be long lasting because its recognition as the growth system of choice is firmly established. The purpose of this review, therefore, is to remind microbiologists, particularly those new to continuous culture approaches, of the legacy of what I call the first age of continuous culture, and to explore a selection of researches that are using these techniques in this post-genomics age. The review looks at the impact of continuous culture across a comprehensive range of microbiological research and development. The ability to establish (quasi-) steady state conditions is a frequently stated advantage of continuous cultures thereby allowing environmental parameters to be manipulated without causing concomitant changes in the specific growth rate. However, the use of continuous cultures also enables the critical study of specified transition states and chemical, physical or biological perturbations. Such dynamic analyses enhance our understanding of microbial ecology and microbial pathology for example, and offer a wider scope for innovative drug discovery; they also can inform the optimization of batch and fed-batch operations that are characterized by sequential transitions states.

Indexed as

BacteriaBiomedical ResearchFungiGenomicsHistory, 20th CenturyHistory, 21st CenturyMicrobiological TechniquesSystems Biology

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.