Large-scale transcriptome comparison of sunflower genes responsive to Verticillium dahliae. (December 2017)

• Record Type: Journal Article
• Authors: Guo, Shuchun; Zuo, Yongchun; Zhang, Yanfang; Wu, Chengyan; Su, Wenxia; Jin, Wen; Yu, Haifeng; An, Yulin; Li, Qianzhong
• Is Part Of: BMC genomics. Volume 18:Number 1(2017)
• Page Start: 1
• Page End: 13
• Publication Date: 2017-12
• Subjects: Helianthus annuus L -- Verticillium dahliae -- RNA-Seq -- Differentially expressed genes (DEGs) -- Defense responses genes; Genomes -- Periodicals; Gene mapping -- Periodicals; Genomics -- Periodicals; Base Sequence -- Periodicals; Chromosome Mapping -- Periodicals; Genetic Techniques -- Periodicals; Sequence Analysis, DNA -- Periodicals; 572.8605
• DOI: 10.1186/s12864-016-3386-7
• Languages: English
• ISSNs: 1471-2164

Abstract

Abstract Background Sunflower Verticillium wilt (SVW) is a vascular disease caused by root infection withVerticillium 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. Results An RNA-Seq approach was used to perform global transcriptome profiling on the roots of resistant (S18) and susceptible (P77) sunflower genotypes infected withV. 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 toV. dahliae resistance in sunflower. Conclusions The transcriptome profiling results provided a clearer understanding of the transcripts associated with the crosstalk between sunflower andV. 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 againstV. dahliae . These results are useful for screening resistant sunflower genotypes.