Genomic platform for efficient identification of fungal secondary metabolism genes

Ref ID: 19311


Myco Umemura, Hideaki Koike, Jin Kawano, Tomoko Ishii, Yuki Miyamura, Tsutomu Ikegami, Goro
Terai, Toshitaka Kumagai, Itaru Takeda, Koichi Tamano, Katsuhisa Horimoto, Jiujiang Yu, Kiyoshi
Asai, Masayuki Machida

Author address:

Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology
(AIST), 17-2-1 Higashi-Nijo, Tsukisamu, Sapporo, Hokkaido 062-8517, Japan

Full conference title:

Asian Mycological Congress 2013 and the 13th International Marine and Freshwater Mycology Symposium

Date: 19 August 2014


Fungal secondary metabolites (SMs) are structurally diverse natural compounds, which are
thought to have a great potential not only for medical industry but also for chemical and environmental
industries. Since the expansion of sequencing microbial genomes in the 19908223;s, it has been known that
SM genes are far more plentiful in microbial genomes than was expected before sequencing. For most of
the genes, we have no information about the conditions for their expression, thus, probably 90% or more
of them have remained unexamined. In order to accelerate analysis and utilization of the unaddressed
useful genes, we have developed a platform comprised of NGS (next-generation sequencer), LC/MS and
bioinformatics tools specialized for high throughput analysis of multiple fungal genomes. By using the
platform, twelve novel fungal genomes can be sequenced within about two weeks by SOLiD 5500 XL.
Our in-house pipelines allow quick and accurate analysis of genome, gene modeling, transcriptome and
successive prediction of SM gene clusters. Once a compound of interest is detected by any methods
including biological, chemical or physical methods, the corresponding SM gene cluster can be rapidly
predicted, typically within a month. We have successfully determined gene clusters of kojic acid, ustiloxin
B and other previously unknown compounds to date. A remarkable feature of our platform is the ability to
detect SM gene clusters without a so-called SM core gene such as PKS, NRPS and terpene, which
allows the scientific community to expand our target SM gene clusters far beyond those already

Abstract Number: s3-02

Conference Year: 2013

Link to conference website: NULL

New link: NULL

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