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Fungi.guru: Comparative genomic and transcriptomic resource for the fungi kingdom

Authors :
Jia Rong Moo
Wei Song Seetoh
Tong Ling Chan
Vanessa Lunardi
Cherlyn Xin’Er Chua
Riccardo Delli-Ponti
Zoe Hui Xin Chen
Marek Mutwil
Shan Chun Lim
Kenny Koh
Jace Koh
Rinta P. Reji
Tuck Choy Fong
Jonathan Wei Xiong Ng
Yuen Shan Lim
Ann Don Low
Natasha Cassandra Chee
Ryanjit Singh Kairon
Herman Foo
Irene Julca
Jolyn Jia Jia Lim
Dhira Anindya Putri
Nhi Le Uyen Nguyen
Ker Min Hee
Sriya Mulupuri
Margaret Xuan Zhao
Edbert Edric Rodrigues
Erielle Marie Fajardo Villanueva
Janice Wan Zhen Ng
School of Biological Sciences
Source :
Computational and Structural Biotechnology Journal, Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 3788-3795 (2020)
Publication Year :
2020

Abstract

Graphical abstract<br />The fungi kingdom is composed of eukaryotic heterotrophs, which are responsible for balancing the ecosystem and play a major role as decomposers. They also produce a vast diversity of secondary metabolites, which have antibiotic or pharmacological properties. However, our lack of knowledge of gene function in fungi precludes us from tailoring them to our needs and tapping into their metabolic diversity. To help remedy this, we gathered genomic and gene expression data of 19 most widely-researched fungi to build an online tool, fungi.guru, which contains tools for cross-species identification of conserved pathways, functional gene modules, and gene families. We exemplify how our tool can elucidate the molecular function, biological process and cellular component of genes involved in various biological processes, by identifying a secondary metabolite pathway producing gliotoxin in Aspergillus fumigatus, the catabolic pathway of cellulose in Coprinopsis cinerea and the conserved DNA replication pathway in Fusarium graminearum and Pyricularia oryzae. The tool is available at www.fungi.guru.

Details

ISSN :
20010370
Volume :
18
Database :
OpenAIRE
Journal :
Computational and structural biotechnology journal
Accession number :
edsair.doi.dedup.....c6af2bf934add3c0b5e63ba453006c51