Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 320

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

Live imaging of root–bacteria interactions in a microfluidics setup

Open access
Massalha, Hassan, Korenblum, Elisa, Malitsky, Sergey, Shapiro, Orr H., Aharoni, Asaph·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: Microbial interactions in the rhizosphere, the microenvironment surrounding plant roots, are a major research area for both plant biologists and microbial ecologists. A significant obstacle in this field is the difficulty in studying root–bacteria interactions in real time. Here, we developed a microfluidics-based device that allows dynamic imaging of root–bacterial interactions at previously unattainable spatiotemporal resolutions. The intimate interaction of Bacillus subtilis with plant roots is accurately traced in high resolution to the root elongation zone. We further reveal how bacterial behavior leads to rapid root colonization and exclusion of competing bacteria. Hence, this approach has the potential to transform our understanding of root–bacteria interactions and the modulation of bacterial communities colonizing the root surface.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.1618584114

Cites

47 of 47 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 47 references

Cited by

See all 320

Metadata

Authors
Massalha, H., Korenblum, E., Malitsky, S., Shapiro, O. H., & Aharoni, A.
Venue
Proceedings of the National Academy of Sciences
Published
2017-03-27
Volume
114
Issue
17
Pages
4549-4554
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2603195168
Cited by
320
References
47
FWCI
23.43
Type
journal article
Language
en
Open access
green

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: Live imaging of root–bacteria interactions in a microfluidics setup. https://app.cochat.ai/papers/10.1073/pnas.1618584114
The paper
Massalha, H., Korenblum, E., Malitsky, S., Shapiro, O. H., & Aharoni, A. (2017). Live imaging of root–bacteria interactions in a microfluidics setup. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1618584114

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.