mBioDevelopmental BiologyPeer-reviewed journal article
Sexual stage-induced long noncoding RNAs in the filamentous fungus Fusarium graminearum
Wonyong KimiD, Cristina Miguel‐RojasiD, Jie WangiD, Jeffrey P. TownsendiD, Frances TrailiD
Abstract
Long noncoding RNA (lncRNA) plays important roles in morphological differentiation and development in eukaryotes. In filamentous fungi, however, little is known about lncRNAs and their roles in sexual development. Here we describe sexual stage-induced lncRNAs during the formation of perithecia, the sexual fruiting bodies of Fusarium graminearum. We have identified 547 lncRNAs whose expression was developmental stage-specific, with about 40% of which peaked during the development of asci, the sac-like structures containing meiospores. A large fraction of the lncRNAs were found to be antisense to mRNAs, forming 300 sense-antisense pairs. Although small RNAs (sRNAs) were produced from these overlapping loci, most of the antisense lncRNAs appeared not to be involved in gene silencing pathways. Genome-wide analysis of sRNA clusters identified many silenced loci at the meiotic stage. However, we found transcriptionally-active sRNA clusters, many of which were associated with lncRNAs. Also, we observed that many antisense lncRNAs and their respective sense transcripts were induced in parallel as the perithecia matured. To identify regulatory components for lncRNA expression, we analyzed mutants defective in the nonsense-mediated decay (NMD) pathway. A subset of the lncRNAs appeared to be targeted by the NMD before the perithecia formation, suggesting a suppressive role of the NMD in lncRNA expression during vegetative stage. This research provides fundamental genomic resources that will spur further investigations on developmental lncRNAs that may play important roles in shaping the fungal fruiting bodies.
- organism: fungi (other)
- assay: long-read sequencing
- assay: DNA methylation
- research focus: gene regulatory network inference
- research focus: variant calling
- approach: statistical model
- approach: experimental assay
- Citations
- 45
- FWCI
- 2.04
- Field percentile
- top 12%
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