Evidence map›Paper›PMID 42551973›Full record

ArticleJournal of insect science (Online)2026

Herbivory-induced metabolic reprogramming in soybean cultivars contrasting in resistance to Bemisia tabaci MEAM1.

Adriele de Castro Ferreira, Maria Carolina Farias E Silva, Raylson Lopes da Silva, Matheus Monteiro de Santana, Daniel Marques Pacheco, Stelamaris de Oliveira Paula Marinho, Rafael de Souza Miranda, Jose Bruno Malaquias, Jenilton Gomes da Cunha, Bruno Ettore Pavan and 2 more

Abstract read
In one paragraph

Article in Journal of insect science (Online), 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

12 authors.

Adriele de Castro FerreiraAgricultural Sciences, Federal University of Piauí, Bom Jesus, Piauí, Brazil.
Maria Carolina Farias E SilvaAgricultural Sciences, Federal University of Piauí, Bom Jesus, Piauí, Brazil.
Raylson Lopes da SilvaAgricultural Sciences, Federal University of Piauí, Bom Jesus, Piauí, Brazil.
Matheus Monteiro de SantanaAgricultural Sciences, Federal University of Piauí, Bom Jesus, Piauí, Brazil.
Daniel Marques PachecoAgricultural Sciences, Federal University of Piauí, Bom Jesus, Piauí, Brazil.ORCID 0000-0002-4097-6900
Stelamaris de Oliveira Paula MarinhoAgricultural Sciences, Federal University of Piauí, Bom Jesus, Piauí, Brazil.
Rafael de Souza MirandaAgricultural Sciences, Federal University of Piauí, Bom Jesus, Piauí, Brazil.ORCID 0000-0002-9087-6190
Jose Bruno MalaquiasDepartment of Crop Production and Environmental Sciences, Center for Agricultural Sciences, Federal University of Paraíba, Areia, Paraíba, Brazil.ORCID 0000-0003-3937-9575
Jenilton Gomes da CunhaAgricultural Sciences, Federal University of Piauí, Bom Jesus, Piauí, Brazil.
Bruno Ettore PavanDepartment of Plant Science, Food Technology and Socioeconomics, School of Engineering, São Paulo State University (UNESP), Ilha Solteira, São Paulo, Brazil.
Alexandre Igor Azevedo PereiraDepartment of Agronomy, Instituto Federal de Educação, Ciência e Tecnologia Goiano-Campus Urutaí, Urutaí, Goiás, Brazil.
Luciana Barboza SilvaAgricultural Sciences, Federal University of Piauí, Bom Jesus, Piauí, Brazil.ORCID 0000-0002-7127-600X

Funding

CAPESCNPQFAPEPI
6 · The paper itself

Abstract

This study examined how herbivory-induced metabolic reprogramming in soybean alters foliar metabolic profiles in cultivars contrasting in resistance to the phloem-feeding insect Bemisia tabaci MEAM1, providing insights into plant responses associated with insect herbivory. Foliar metabolite profiles were compared between 2 contrasting genotypes, AS3810 (resistant) and BÔNUS (susceptible), under infested and non-infested conditions across 4 sampling scenarios integrating phenological stage and response time. Metabolic responses were characterized using gas chromatography-mass spectrometry (GC-MS) combined with univariate (3-way ANOVA) and multivariate analyses (principal component analysis, PCA). Significant main and interaction effects were detected for multiple metabolites, indicating that metabolic responses are strongly dependent on genotype and developmental context. Key compounds associated with treatment effects included salicylic acid, 4-aminobutyric acid (GABA), threonic acid, 2-oxoglutaric acid, glyoxylic acid, malic acid, spermidine, maltotriose, and galactonic acid, with several metabolites showing significant 3-way interactions. The resistant genotype AS3810 exhibited broader and more coordinated metabolic adjustments, particularly in pathways associated with redox balance, carbon allocation, and stress signaling, especially under reproductive-stage conditions. In contrast, BÔNUS showed lower metabolic responsiveness and reduced pathway integration. Multivariate analysis revealed metabolic differentiation among treatments, with defense- and stress-related metabolites contributing strongly to sample differentiation. These findings indicate that herbivory-induced metabolic configurations define distinct biochemical landscapes in host tissues and highlight genotype-dependent metabolic responses associated with herbivory. Identified metabolites represent candidate biochemical indicators of plant responses to B. tabaci MEAM1 infestation and may contribute to future studies of plant resistance mechanisms and resistance-based pest management strategies.

Indexed as

Glycine maxHemipteraHerbivoryMetabolomeAnimalsGas Chromatography-Mass SpectrometryGenotypeMetabolic ReprogrammingPlant Defense Against HerbivoryPlant Leavesherbivorymetabolomicsresistancewhitefly

Identifiers

PMID42551973
PMCPMC13563186

What OpenQuestion holds

Textmetadata
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.