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Cited by 334

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

The soil metagenome – a rich resource for the discovery of novel natural products

Open access
Daniel, Rolf·2004·Current Opinion in Biotechnology

Abstract

Soil microorganisms have been the most valuable source of natural products, providing industrially important antibiotics and biocatalysts. But, of late, the discovery rate of novel biomolecules using traditional cultivation techniques has been extremely low, as most soil microorganisms cannot be cultured in this way. The development of novel cultivation-dependent and molecular cultivation-independent approaches has paved the way for a new era of product recovery from soil microorganisms. In particular, gene-mining based on the construction and screening of complex libraries derived from the soil metagenome provides opportunities to fully explore and exploit the enormous genetic and metabolic diversity of soil microorganisms. This strategy has already resulted in the isolation of novel biocatalysts and bioactive molecules.

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Crossref · 10.1016/j.copbio.2004.04.005

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Metadata

Authors
Daniel, R.
Venue
Current Opinion in Biotechnology
Publisher
Elsevier BV
Published
2004-06
Volume
15
Issue
3
Pages
199-204
ISSN
0958-1669 (ISSN-L)
OpenAlex
W2081313258
Cited by
334
References
47
FWCI
1.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The soil metagenome – a rich resource for the discovery of novel natural products. https://app.cochat.ai/papers/10.1016/j.copbio.2004.04.005
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Daniel, R. (2004). The soil metagenome – a rich resource for the discovery of novel natural products. Current Opinion in Biotechnology. https://doi.org/10.1016/j.copbio.2004.04.005

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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.