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Cited by 282

The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.

Present and Future of Culturing Bacteria

Open access
Overmann, Jörg, Abt, Birte, Sikorski, Johannes·2017·Annual Review of Microbiology

Abstract

The cultivation of bacteria is highly biased toward a few phylogenetic groups. Many of the currently underexplored bacterial lineages likely have novel biosynthetic pathways and unknown biochemical features. New cultivation concepts have been developed based on an improved understanding of the ecology of previously not-cultured bacteria. Particularly successful were improved media that mimic the natural types and concentrations of substrates and nutrients, high-throughput cultivation techniques, and approaches that exploit biofilm formation and bacterial interactions. Metagenomics and single-cell genomics can reveal unknown metabolic features of not-yet-cultured bacteria and, if complemented by culture-independent physiological analyses, will help to target functional novelty more efficiently. However, numerous novel types of bacteria that were initially enriched subsequently escaped isolation. Future cultivation work will therefore need to focus on improved subcultivation, purification, and preservation techniques to recover and utilize a larger fraction of microbial diversity.

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Registry

Crossref · 10.1146/annurev-micro-090816-093449

Cites

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Citations

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Metadata

Authors
Overmann, J., Abt, B., & Sikorski, J.
Venue
Annual Review of Microbiology
Published
2017-09-08
Volume
71
Issue
1
Pages
711-730
ISSN
  • 0066-4227 (ISSN-L)
  • 1545-3251
OpenAlex
W2598819529
Cited by
282
References
130
FWCI
2.15
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Present and Future of Culturing Bacteria. https://app.cochat.ai/papers/10.1146/annurev-micro-090816-093449
The paper
Overmann, J., Abt, B., & Sikorski, J. (2017). Present and Future of Culturing Bacteria. Annual Review of Microbiology. https://doi.org/10.1146/annurev-micro-090816-093449

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.