ArticleBMC plant biology2025
Metabolome integrated with transcriptome, and genome analysis revealed higher accumulations of phytoalexins enhance resistance against Magnaporthe oryzae in new Zhefang rice variety diantun 506.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Integrated omics analyses reveal natamycin disrupts oxidative phosphorylation pathways in Magnaporthe oryzae.BMC plant biology · 2026Article
- A functional PCR-CTPP marker targeting an intronic SNP inFrontiers in plant science · 2026Article
- Nitrate availability influences powdery mildew resistance and secondary metabolism inFrontiers in plant science · 2026Article
- Genetics of polymorphism in nitrogen-induced-susceptibility of rice toFrontiers in plant science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundMagnaporthe oryzae is one of the most devastating pathogens of rice, causing significant economic losses worldwide. Despite extensive studies on the M. oryzae-rice interaction, particularly focusing on the underlying resistance mechanisms, the molecular basis of rice resistance remains poorly understood.
resultsThis study employed an integrated metabolomic, transcriptomic, and genomic approach to compare the response of Diantun susceptible (D502) and resistant (D506) rice lines to M. oryzae infection at 48 h post-inoculation. A total of 588 and 595 differentially accumulated metabolites (DAMs) were identified in D502 and D506, respectively. Notably, 55% of these metabolites exhibited similar expression patterns across both lines, while 9 DAMs displayed contrasting patterns at 48 h in response to pathogen infection. Pathway analysis revealed significant regulation of flavonoid, nucleotide derivatives, phenylpropanoid and polyketide, and vitamin biosynthesis pathways, with specific metabolites from these pathways potentially contributing to resistance in D506. KEGG enrichment analysis further identified key pathways in D506, including linoleic acid metabolism, plant hormone signal transduction, α-linolenic acid metabolism, and the pentose phosphate pathway. Network analysis based on DAMs and differentially expressed genes (DEGs) highlighted eight up-regulated metabolites and their key genes responsible for resistance, which are associated with flavonoid, tryptophan, and phytohormone, resulting in suppressed M. oryzae infection in D506. The content of sakuranetin was significantly higher, and the peak in expression of their key gene OMT-9 after M. oryzae infection at 48 h, lead to an increase in phytoalexin production in the D506 line. Subsequently, exonic non-synonymous single nucleotide polymorphisms (nsSNPs) within abscisic acid synthesis (NCED1) gene, identified through genome-wide analysis, were associated with amino acid substitutions potentially affecting protein function. This finding suggests that the ABA and their key genes are essential for the resistance in D506 against M. oryzae.
conclusionIn last, we conclude that our findings underscore the power of integrating metabolomics, transcriptomics, and genomics to identify key metabolites and genes underlying resistance to M. oryzae. The insights gained from this study offer valuable resources for enhancing rice breeding strategies and improving disease management in agriculture.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.