PLoS ONEGenomicsPeer-reviewed journal article
Unusual genome expansion and transcription suppression in ectomycorrhizal Tricholoma matsutake by repetitive insertions of transposable elements
Byoungnam MiniD, Hyeokjun Yoon, Julius Park, Youn-Lee OhiD, Won‐Sik KongiD, Jong-Guk Kim, In‐Geol ChoiiD
Abstract
Genome sequence of Tricholoma matsutake was revealed as the one of the large fungal genomes published up to date at 189.0 Mbp with 15,305 predicted genes. The unusual size of this fungal genome contained frequent colonization of transposable elements (TEs) occupying more than half of the entire genome. We identified that 702 genes were surrounded by TEs and 83.2% of those genes were never transcribed at any development stage. This observation corroborated that the insertion of transposable elements alters the transcription of the genes neighboring TEs.\n\nRepeat-induced point mutation such as C to T hypermutation with a bias over CpG dinucleotides was also recognized in this genome, representing a typical defense mechanism against TEs during evolution. Many transcription factor genes were activated in both primordia and fruiting body, which indicates that many regulatory processes are shared during developmental stages. Small secreted protein genes (<300 aa) were dominantly transcribed in hyphae, where symbiotic interactions occur with hosts. Comparative analysis with 37 Agaricomycetes genomes revealed that IstB-like domain (PF01695) was conserved in taxonomically diverse mycorrhizal genomes, where the T. matsutake genome contained four copies of this domain. Three of the IstB-like genes were overexpressed in hyphae. In the CAZyme analysis, reduced CAZyme genes were found as other ectomycorrhizal genomes including a lot of loss of glycoside hydrolase genes. Also, auxiliary activity genes were dominantly transcribed in primordia. The T. matsutake genome sequence provides insight into the large genome size and clues to understand unusual fungal genome expansion.
- organism: fungi (other)
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: database / resource
- research focus: benchmarking
- approach: statistical model
- approach: experimental assay
- Citations
- 15
- FWCI
- 2.10
- Field percentile
- top 15%
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