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Cited by 391

The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.

Antibiotic Resistomes in Plant Microbiomes

Open access
Chen, Qing-Lin, Cui, Hui-Ling, Su, Jian-Qiang, Penuelas, Josep, Zhu, Yong-Guan·2019·Trends in Plant Science

Abstract

Microorganisms associated with plants may alter the traits of the human microbiome important for human health, but this alteration has largely been overlooked. The plant microbiome is an interface between plants and the environment, and provides many ecosystem functions such as improving nutrient uptake and protecting against biotic and abiotic stress. The plant microbiome also represents a major pathway by which humans are exposed to microbes and genes consumed with food, such as pathogenic bacteria, antibiotic-resistant bacteria, and antibiotic-resistance genes. In this review we highlight the main findings on the composition and function of the plant microbiome, and underline the potential of plant microbiomes in the dissemination of antibiotic resistance via food consumption or direct contact.

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Crossref · 10.1016/j.tplants.2019.02.010

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Metadata

Authors
Chen, Q.-L., Cui, H.-L., Su, J.-Q., Penuelas, J., & Zhu, Y.-G.
Venue
Trends in Plant Science
Publisher
Elsevier BV
Published
2019-06
Volume
24
Issue
6
Pages
530-541
ISSN
1360-1385 (ISSN-L)
OpenAlex
W2921824710
Cited by
391
References
93
FWCI
5.63
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Antibiotic Resistomes in Plant Microbiomes. https://app.cochat.ai/papers/10.1016/j.tplants.2019.02.010
The paper
Chen, Q.-L., Cui, H.-L., Su, J.-Q., Penuelas, J., & Zhu, Y.-G. (2019). Antibiotic Resistomes in Plant Microbiomes. Trends in Plant Science. https://doi.org/10.1016/j.tplants.2019.02.010

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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.