Evidence map›Paper›PMID 35397634›Full record

ArticleScientific reports2022

Experimental evidence challenges the presumed defensive function of a "slow toxin" in cycads.

Melissa R L Whitaker, Florence Gilliéron, Christina Skirgaila, Mark C Mescher, Consuelo M De Moraes

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Insects · 2025
    Article
  2. Review
  3. A semiochemical view of the ecology of the seed beetleThe Annals of applied biology · 2024
    Review
  4. Article
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

5 authors at 1 institution in 1 country.

Melissa R L WhitakerDepartment of Environmental Systems Science, ETH Zürich, 8092, Zurich, Switzerland.
Florence GilliéronDepartment of Environmental Systems Science, ETH Zürich, 8092, Zurich, Switzerland.
Christina SkirgailaDepartment of Environmental Systems Science, ETH Zürich, 8092, Zurich, Switzerland.
Mark C MescherDepartment of Environmental Systems Science, ETH Zürich, 8092, Zurich, Switzerland.
Consuelo M De MoraesDepartment of Environmental Systems Science, ETH Zürich, 8092, Zurich, Switzerland. consuelo.demoraes@usys.ethz.ch.
ETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Formula: see text]-methylamino-L-alanine (BMAA) is a neurotoxic non-protein amino acid found in the tissues of cycad plants. The demonstrated toxicity of BMAA to diverse organisms, including humans, is widely assumed to imply a defensive function of BMAA against herbivores; however, this hypothesis has not previously been tested in an ecologically relevant system. We investigated the effects of dietary BMAA, across a range of dosages matching and exceeding levels typically present in cycad leaves, on the feeding preferences and performance of a generalist lepidopteran herbivore (Spodoptera littoralis).We observed no effects of dietary BMAA on the survival or development of S. littoralis larvae, nor any larval preference between BMAA-laced and control diets. These findings suggest that BMAA in cycad tissues does not deter feeding by insect herbivores, raising questions about other potential physiological or ecological functions of this compound.

Indexed as

Amino Acids, DiaminoToxins, BiologicalAnimalsCyanobacteria ToxinsCycadopsidaHumansInsectaNeurotoxinsAmino Acids, DiaminoCyanobacteria ToxinsNeurotoxinsToxins, Biological

Identifiers

PMID35397634
PMCPMC8994766
OpenAlexW4223542045

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.