Strand-Specific RNA-Seq Analyses of Fruiting Body Development in Coprinopsis cinerea
Author(s) -
Hajime Muraguchi,
Kiwamu Umezawa,
Mai Niikura,
Makoto Yoshida,
Toshinori Kozaki,
Kazuo Ishii,
Kiyota Sakai,
Motoyuki Shimizu,
Kiyoshi Nakahori,
Yūichi Sakamoto,
Cindy Choi,
Chew Yee Ngan,
Eika Lindquist,
Anna Lipzen,
Andrew Tritt,
Sajeet Haridas,
Kerrie Barry,
Igor V. Grigoriev,
Patricia J. Pukkila
Publication year - 2015
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0141586
Subject(s) - biology , transcriptome , rna seq , gene , rna , genetics , gene expression , de novo transcriptome assembly , computational biology
The basidiomycete fungus Coprinopsis cinerea is an important model system for multicellular development. Fruiting bodies of C . cinerea are typical mushrooms, which can be produced synchronously on defined media in the laboratory. To investigate the transcriptome in detail during fruiting body development, high-throughput sequencing (RNA-seq) was performed using cDNA libraries strand-specifically constructed from 13 points (stages/tissues) with two biological replicates. The reads were aligned to 14,245 predicted transcripts, and counted for forward and reverse transcripts. Differentially expressed genes (DEGs) between two adjacent points and between vegetative mycelium and each point were detected by Tag Count Comparison (TCC). To validate RNA-seq data, expression levels of selected genes were compared using RPKM values in RNA-seq data and qRT-PCR data, and DEGs detected in microarray data were examined in MA plots of RNA-seq data by TCC. We discuss events deduced from GO analysis of DEGs. In addition, we uncovered both transcription factor candidates and antisense transcripts that are likely to be involved in developmental regulation for fruiting.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom