The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Plant growth promoting rhizobacteria isolated from halophytes and drought-tolerant plants: genomic characterisation and exploration of phyto-beneficial traits
Open accessAbstract
Plant growth promoting rhizobacteria (PGPR) are able to provide cross-protection against multiple stress factors and facilitate growth of their plant symbionts in many ways. The aim of this study was to isolate and characterize rhizobacterial strains under natural conditions, associated with naturally occurring representatives of wild plant species and a local tomato cultivar, growing in differently stressed Mediterranean ecosystems. A total of 85 morphologically different rhizospheric strains were isolated; twenty-five exhibited multiple in vitro PGP-associated traits, including phosphate solubilization, indole-3-acetic acid production, and 1-aminocyclopropane-1-carboxylate deaminase activity. Whole genome analysis was applied to eight selected strains for their PGP potential and assigned seven strains to Gammaproteobacteria, and one to Bacteroidetes. The genomes harboured numerous genes involved in plant growth promotion and stress regulation. They also support the notion that the presence of gene clusters with potential PGP functions is affirmative but not necessary for a strain to promote plant growth under abiotic stress conditions. The selected strains were further tested for their ability to stimulate growth under stress. This initial screening led to the identification of some strains as potential PGPR for increasing crop production in a sustainable manner.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., & Glöckner, F. O. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1219 · Cited by 33,055
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update
Afgan, E., Baker, D., Batut, B., van den Beek, M., Bouvier, D., Čech, M., Chilton, J., Clements, D., Coraor, N., Grüning, B. A., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky379 · Cited by 3,662
Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea
Herlemann, D. P. R., Labrenz, M., Jürgens, K., Bertilsson, S., Waniek, J. J., & Andersson, A. F. (2011) · The ISME Journal · doi:10.1038/ismej.2011.41 · Cited by 2,885
Rhizosphere bacteria help plants tolerate abiotic stress
Yang, J., Kloepper, J. W., & Ryu, C.-M. (2009) · Trends in Plant Science · doi:10.1016/j.tplants.2008.10.004 · Cited by 1,852
Biosynthesis of polyamines and polyamine-containing molecules
Michael, A. J. (2016) · Biochemical Journal · doi:10.1042/bcj20160185 · Cited by 180
Cited by
Harnessing the plant microbiome for sustainable crop production
Compant, S., Cassan, F., Kostić, T., Johnson, L., Brader, G., Trognitz, F., & Sessitsch, A. (2025) · Nature Reviews Microbiology · doi:10.1038/s41579-024-01079-1 · Cited by 365
Bacillus subtilis impact on plant growth, soil health and environment: Dr. Jekyll and Mr. Hyde
Mahapatra, S., Yadav, R., & Ramakrishna, W. (2022) · Journal of Applied Microbiology · doi:10.1111/jam.15480 · Cited by 285
Metadata
- Authors
- Leontidou, K., Genitsaris, S., Papadopoulou, A., Kamou, N., Bosmali, I., Matsi, T., Madesis, P., Vokou, D., Karamanoli, K., & Mellidou, I.
- Venue
- Scientific Reports
- Published
- 2020-09-09
- Volume
- 10
- Issue
- 1
- Pages
- 14857-14857
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W3084217710
- Cited by
- 175
- References
- 5
- FWCI
- 13.64
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Plant growth promoting rhizobacteria isolated from halophytes and drought-tolerant plants: genomic characterisation and exploration of phyto-beneficial traits. https://app.cochat.ai/papers/10.1038/s41598-020-71652-0
- The paper
- Leontidou, K., Genitsaris, S., Papadopoulou, A., Kamou, N., Bosmali, I., Matsi, T., Madesis, P., Vokou, D., Karamanoli, K., & Mellidou, I. (2020). Plant growth promoting rhizobacteria isolated from halophytes and drought-tolerant plants: genomic characterisation and exploration of phyto-beneficial traits. Scientific Reports. https://doi.org/10.1038/s41598-020-71652-0
Data sources
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.