ArticleBMC genomics2017
Large-scale transcriptome comparison of sunflower genes responsive to Verticillium dahliae.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 61 citations in OpenAlex.
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- Co-Expression Networks in Sunflower: Harnessing the Power of Multi-Study Transcriptomic Public Data to Identify and Categorize Candidate Genes for Fungal Resistance.Plants (Basel, Switzerland) · 2023Article
- VILLIN2 regulates cotton defense against Verticillium dahliae by modulating actin cytoskeleton remodeling.Plant physiology · 2023Article
- Evaluating and Validating Sunflower Reference Genes for Q-PCR Studies Under High Temperature Condition.Iranian journal of biotechnology · 2023Article
- Transcriptome Analysis Reveals the Defense Mechanism of Cotton againstInternational journal of molecular sciences · 2023Article
- The calcium connection: exploring the intricacies of calcium signaling in plant-microbe interactions.Frontiers in plant science · 2023Review
- Transcriptome changes associated with apple (Malus domestica) root defense response after Fusarium proliferatum f. sp. malus domestica infection.BMC genomics · 2022Article
- Broad-spectrum resistance mechanism of serine protease Sp1 inFrontiers in microbiology · 2022Article
- A Genome-Wide Analysis ofFrontiers in genetics · 2022Article
- Genetic Improvement in Sunflower Breeding-Integrated Omics Approach.Plants (Basel, Switzerland) · 2021Review
- Opportunities and Challenges in Studies of Host-Pathogen Interactions and Management ofPlants (Basel, Switzerland) · 2020Review
- Exploring sunflower responses to Sclerotinia head rot at early stages of infection using RNA-seq analysis.Scientific reports · 2020Article
- Transcriptome analysis reveals the defense mechanism of cotton against Verticillium dahliae in the presence of the biocontrol fungus Chaetomium globosum CEF-082.BMC plant biology · 2020Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSunflower Verticillium wilt (SVW) is a vascular disease caused by root infection with Verticillium dahliae (V. dahlia). It is a serious threat to the yield and quality of sunflower. However, chemical and agronomic measures for controlling this disease are not effective. The selection of more resistant genotypes is a desirable strategy to reduce contamination. A deeper knowledge of the molecular mechanisms and genetic basis underlying sunflower Verticillium wilt is necessary to accelerate breeding progress.
resultsAn RNA-Seq approach was used to perform global transcriptome profiling on the roots of resistant (S18) and susceptible (P77) sunflower genotypes infected with V. dahlia. Different pairwise transcriptome comparisons were examined over a time course (6, 12 and 24 h, and 2, 3, 5 and 10 d post inoculation). In RD, SD and D datasets, 1231 genes were associated with SVW resistance in a genotype-common transcriptional pattern. Moreover, 759 and 511 genes were directly related to SVW resistance in the resistant and susceptible genotypes, respectively, in a genotype-specific transcriptional pattern. Most of the genes were demonstrated to participate in plant defense responses; these genes included peroxidase (POD), glutathione peroxidase, aquaporin PIP, chitinase, L-ascorbate oxidase, and LRR receptors. For the up-regulated genotype-specific differentially expressed genes (DEGs) in the resistant genotype, higher average fold-changes were observed in the resistant genotype compared to those in the susceptible genotype. An inverse effect was observed in the down-regulated genotype-specific DEGs in the resistant genotype. KEGG analyses showed that 98, 112 and 52 genes were classified into plant hormone signal transduction, plant-pathogen interaction and flavonoid biosynthesis categories, respectively. Many of these genes, such as CNGC, RBOH, FLS2, JAZ, MYC2 NPR1 and TGA, regulate crucial points in defense-related pathway and may contribute to V. dahliae resistance in sunflower.
conclusionsThe transcriptome profiling results provided a clearer understanding of the transcripts associated with the crosstalk between sunflower and V. dahliae. The results identified several differentially expressed unigenes involved in the hyper sensitive response (HR) and the salicylic acid (SA)/jasmonic acid (JA)-mediated signal transduction pathway for resistance against V. dahliae. These results are useful for screening resistant sunflower genotypes.
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