We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Genome-wide identification and functional prediction of novel and fungi-responsive lincRNAs in Triticum aestivum.
- Authors
Hong Zhang; Weiguo Hu; Jilei Hao; Shikai Lv; Changyou Wang; Wei Tong; Yajuan Wang; Yanzhen Wang; Xinlun Liu; Wanquan Ji
- Abstract
Background: Stripe rust (Puccinia striiformis f. sp. tritici; Pst) and powdery mildew (Blumeria graminis f. sp. tritici; Bgt) are important diseases of wheat (Triticum aestivum) worldwide. Increasingly evidences suggest that long intergenic ncRNAs (lincRNAs) are developmentally regulated and play important roles in development and stress responses of plants. However, identification of lincRNAs in wheat is still limited comparing with functional gene expression. Results: The transcriptome of the hexaploid wheat line N9134 inoculated with the Chinese Pst race CYR31 and Bgt race E09 at 1, 2, and 3 days post-inoculation was recapitulated to detect the lincRNAs. Here, 283 differential expressed lincRNAs were identified from 58218 putative lincRNAs, which account for 31.2 % of transcriptome. Of which, 254 DE-LincRNAs responded to the Bgt stress, and 52 lincRNAs in Pst. Among them, 1328 SnRNP motifs (sm sites) were detected and showed RRU4-11RR sm site element and consensus RRU1-9VU1-7RR SnRNP motifs, where the total number of uridine was more than 3 but less than 11. Additionally, 101 DE-lincRNAs were predicted as targets of miRNA by psRNATarget, while 5 target mimics were identified using target mimicry search in TAPIR. Conclusions: Taken together, our findings indicate that the lincRNA of wheat responded to Bgt and Pst stress and played important roles in splicesome and inter-regulating with miRNA. The sm site of wheat showed a more complex construction than that in mammal and model plant. The mass sequence data generated in this study provide a cue for future functional and molecular research on wheat–fungus interactions.
- Subjects
STRIPE rust; WHEAT diseases &; pests; WHEAT powdery mildew disease; RNA sequencing; MICRORNA; GENETICS
- Publication
BMC Genomics, 2016, Vol 17, p1
- ISSN
1471-2164
- Publication type
Article
- DOI
10.1186/s12864-016-2570-0