MTD: A cloud-based omics database and interactive platform for Myceliophthora thermophila

Nowadays, biological databases are playing an increasingly critical role in biological research. <i>Myceliophthora thermophila</i> is an excellent thermophilic fungal chassis for industrial enzyme production and plant biomass-based chemical synthesis. The lack of a dedicated public database has made access to and reanalysis of <i>M. thermophila</i> data difficult. To bridge this gap, we developed MTD (https://mtd.biodesign.ac.cn/), a cloud-based omics database and interactive platform for <i>M. thermophila</i>. MTD integrates comprehensive genome annotations, sequence-based predictions, transcriptome data, curated experimental descriptions, and bioinformatics analysis tools, offering a comprehensive, one-stop solution with a 'top-down' search strategy to streamline <i>M. thermophila</i> research. The platform supports data reproduction, rapid querying, and in-depth mining of existing transcriptome datasets. Based on analyses using data and tools in MTD, we identified shifts in metabolic allocation in a glucoamylase hyperproduction strain of <i>M. thermophila</i>, highlighting changes in fatty acid biosynthesis and amino acids biosynthesis pathways, which provide new insights into the underlying phenotypic alterations. As a pioneering resource, MTD marks a key advancement in <i>M. thermophila</i> research and sets the model for developing similar databases for other species.

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Publication Details

Journal
Synthetic and Systems Biotechnology
Published
2025-04-05
DOI
https://doi.org/10.1016/j.synbio.2025.04.001
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
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article

MTD: A cloud-based omics database and interactive platform for Myceliophthora thermophila

Hongwu Ma, Ruoyu Wang, Huijue Jia, Defei Liu et al.
Synthetic and Systems Biotechnology
Microbial Metabolic Engineering and Bioproduction
article

MTD: A cloud-based omics database and interactive platform for Myceliophthora thermophila

Hongwu Ma, Ruoyu Wang, Huijue Jia, Defei Liu, Chaoguang Tian, Zhitao Mao, Jiacheng Dong, Jingen Li, Xiaoping Liao, Qian Liu, Haoran Li, Chenglin Zhang, Yutao Wang
article en

Abstract

Nowadays, biological databases are playing an increasingly critical role in biological research. <i>Myceliophthora thermophila</i> is an excellent thermophilic fungal chassis for industrial enzyme production and plant biomass-based chemical synthesis. The lack of a dedicated public database has made access to and reanalysis of <i>M. thermophila</i> data difficult. To bridge this gap, we developed MTD (https://mtd.biodesign.ac.cn/), a cloud-based omics database and interactive platform for <i>M. thermophila</i>. MTD integrates comprehensive genome annotations, sequence-based predictions, transcriptome data, curated experimental descriptions, and bioinformatics analysis tools, offering a comprehensive, one-stop solution with a 'top-down' search strategy to streamline <i>M. thermophila</i> research. The platform supports data reproduction, rapid querying, and in-depth mining of existing transcriptome datasets. Based on analyses using data and tools in MTD, we identified shifts in metabolic allocation in a glucoamylase hyperproduction strain of <i>M. thermophila</i>, highlighting changes in fatty acid biosynthesis and amino acids biosynthesis pathways, which provide new insights into the underlying phenotypic alterations. As a pioneering resource, MTD marks a key advancement in <i>M. thermophila</i> research and sets the model for developing similar databases for other species.

Synthetic and Systems BiotechnologyVol. 10(3)
Tianjin University of Science and Technology (CN), Tianjin Institute of Industrial Biotechnology (CN), China Agricultural University (CN)
Openalex Percentile: Top 94%
Microbial Metabolic Engineering and Bioproduction
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