Evidence mapPaperPMID 41501564Full record

ArticleFunctional & integrative genomics2026

Transcriptomic and metabolomic analysis between Rose varieties which are resistant or susceptible to Alternaria alternata.

Peilei Cheng, Wenhui Cheng, Taotao Yan, Shuhuan Zhang, Chunlan Dong, Haoyuan Chen, Changbing Huang

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Article in Functional & integrative genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Peilei ChengA Characteristic Flower Engineering Research Center of Jiangsu Province, Suzhou Polytechnic Institute of Agriculture, Suzhou, 215008, China.
Wenhui ChengA Characteristic Flower Engineering Research Center of Jiangsu Province, Suzhou Polytechnic Institute of Agriculture, Suzhou, 215008, China.
Taotao YanA Characteristic Flower Engineering Research Center of Jiangsu Province, Suzhou Polytechnic Institute of Agriculture, Suzhou, 215008, China.
Shuhuan ZhangA Characteristic Flower Engineering Research Center of Jiangsu Province, Suzhou Polytechnic Institute of Agriculture, Suzhou, 215008, China.
Chunlan DongA Characteristic Flower Engineering Research Center of Jiangsu Province, Suzhou Polytechnic Institute of Agriculture, Suzhou, 215008, China.
Haoyuan ChenA Characteristic Flower Engineering Research Center of Jiangsu Province, Suzhou Polytechnic Institute of Agriculture, Suzhou, 215008, China.
Changbing HuangA Characteristic Flower Engineering Research Center of Jiangsu Province, Suzhou Polytechnic Institute of Agriculture, Suzhou, 215008, China. cbhuang@szai.edu.cn.ORCID http://orcid.org/0000-0001-6721-7982

Funding

Jiangsu Forestry Science and Technology Innovation and Promotion Project LYKJ [2021] 02Natural Science Foundation of Jiangsu Province BK20250380the "JBGS" Project of Seed Industry Revitalization in Jiangsu Province JBGS [2021] 091the Suzhou Science and Technology Development Program SNGD202304
6 · The paper itself

Abstract

Alternaria alternata is a necrotrophic fungal pathogen with a wide host range, and the black spot disease it causes on Rosa hybrida is the most serious disease, severely limiting the normal growth of Rose. However, the mechanism of this effect in Rose is not fully understood. A resistant cultivar ('DK') and a susceptible cultivar ('OB') of Rose were selected and a combined physiological, transcriptomic and metabolomic approach was used to investigate the molecular mechanisms of plant resistance to A. alternata. In this study, we found that SOD and PAL levels of Rose increased significantly after A. alternata infection, and the changes were more pronounced in the 'DK'. Kyoto Encyclopedia of the Genome (KEGG) enrichment analyses showed that differentially expressed genes (DEGs) after A. alternata infestation were enriched in plant-pathogen interaction, plant hormone signal transduction, and metabolic pathways. Two-Way Orthogonal PLS (O2PLS) analysis revealed that flavonoids and phenolic acids had the greatest effect on DEGs. Weighted gene co-expression network analysis (WGCNA) and CCA analyses further demonstrated significant correlations between flavonoid pathways and DEGs. Among the highly correlated transcription factors screened in the green module (WRKY, ERF, NAC) may be involved in flavonoid pathway-mediated resistance to black spot disease in Rose. This study provides a potential transcriptional regulatory network and thus candidate genes for resistance breeding and metabolic engineering in Rose.

Indexed as

AlternariaDisease ResistanceMetabolomePlant DiseasesRosaTranscriptomeGene Expression Regulation, PlantHost-Pathogen InteractionsMetabolomicsPlant ProteinsPlant ProteinsAlternaria alternatablack spot diseasemetabolomeRosa hybridtranscriptome

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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 Socratic graph.