Abstract
Nowadays, biological databases are playing an increasingly critical role in biological research. Myceliophthora thermophila 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 M. thermophila data difficult. To bridge this gap, we developed MTD (https://mtd.biodesign.ac.cn/), a cloud-based omics database and interactive platform for M. thermophila. 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 M. thermophila 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 M. thermophila, 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 M. thermophila research and sets the model for developing similar databases for other species.