Evidence map›Paper›PMID 39215788›Full record

ArticleGenetica2024

Genome-wide identification and data mining reveals major-latex protein (MLP) from the PR-10 protein family played defense-related roles against phytopathogenic challenges in cassava (Manihot esculenta Crantz).

Unchera Viboonjun, Rawit Longsaward

Abstract read
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In one paragraph

Article in Genetica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Plants (Basel, Switzerland) · 2025
    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

2 authors.

Unchera ViboonjunDepartment of Plant Science, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.ORCID http://orcid.org/0000-0001-7707-3687
Rawit LongsawardDepartment of Plant Pathology, Faculty of Agriculture, Kasetsart University, Bangkok, 10900, Thailand. rawit.l@ku.th.ORCID http://orcid.org/0000-0001-6831-2906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite being identified in previous articles, the pathogenesis-related 10 (PR-10) protein remains relatively overlooked and has yet to be fully characterized in numerous plant species. This research employs a comprehensive data mining approach to in silico characterize PR-10 proteins in cassava, a vital crop plant globally. In this study, the focus was on in silico identified 53 cassava PR-10 proteins, which can be categorized into two main subgroups: 34 major latex proteins (MLPs) and 13 major allergen proteins, Pru ar 1, based on their phylogenetic relationship. The genome collinearity analysis with the rubber tree showed a possible evolutionary relationship of the PR-10 gene between these two Euphorbiaceae species, specifically on their chromosome 15. Notably, MLP423 and other MLP proteins were identified in various previously published cassava transcriptome datasets in response to biotic treatments from diverse phytopathogens, including anthracnose fungus, viruses, and bacterial blight. Ligand prediction and molecular docking of three MLP423 proteins have revealed potential interaction with cytokinin and abscisic acid hormones. Their expressions and predicted binding affinities are discussed here, highlighting their role as contributors to cassava's defense network against key diseases.

Indexed as

Data MiningManihotPhylogenyPlant DiseasesPlant ProteinsDisease ResistanceGene Expression Regulation, PlantGenome, PlantLatexMolecular Docking SimulationLatexPlant ProteinsBiotic responsesCassava diseasesIn silico identificationPathogenesis-related protein 10

Identifiers

PMID39215788

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.