Evidence map›Paper›PMID 42796835›Full record

ArticlePlants (Basel, Switzerland)2026

Comparison of Corn and Rice Sensitivity to Cyanobacterial Extract and Anatoxin-a in Soil and Hydroponic Media.

Clare T Muller, Scott A Heckathorn, Jennifer K Boldt

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Clare T MullerDepartment of Environmental Sciences, University of Toledo, Toledo, OH 43606, USA.
Scott A HeckathornDepartment of Environmental Sciences, University of Toledo, Toledo, OH 43606, USA.
Jennifer K BoldtAgricultural Research Service, United States Department of Agriculture, Toledo, OH 43606, USA.ORCID 0000-0002-2755-5036

Funding

United States Department of Agriculture NACA 58-5082-1-009
6 · The paper itself

Abstract

Cyanobacterial toxins (cyanotoxins) produced in harmful algal blooms are toxic to eukaryotic cells. Plants exposed to cyanotoxins through irrigation can accumulate toxins and have decreased yields, so an understanding of the effects of cyanotoxins on major crop plants is important. Although the effects of some cyanotoxins on growth and photosynthesis of common agricultural crops have been studied, how cyanotoxin uptake may be impacted by differences in root anatomy has not been studied. Hence, we exposed corn and rice, plants lacking and possessing a constitutively well-developed root exodermis, respectively, to cyanobacterial extracts or pure anatoxin-a to test how root structure impacts cyanotoxin sensitivity. We conducted three comparative experiments: (1) a pot study in which corn and rice were watered with cyanobacterial lysed-cell extracts, (2) a hydroponic study wherein plants were treated with cyanobacterial extracts, and (3) a study wherein plants were grown in pots and watered with pure anatoxin-a. We hypothesized that the constitutive exodermis produced by rice would make rice plants less sensitive to cyanotoxins than corn. However, for all three experiments, photosynthesis, chlorophyll, and growth of corn and rice plants were reduced when roots were exposed to either extracts or anatoxin-a, compared to non-treated controls, although corn plants were affected sooner and/or more dramatically than rice. Our results indicate the root exodermis of rice did not prevent cyanotoxin uptake by roots nor prevent cyanotoxin effects.

Indexed as

anatoxin-acyanotoxinsharmful algal bloomsphotosynthesis

Identifiers

PMID42796835
PMCPMC13610516

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.