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Biology subjects

Ten, D.

Publications and source records attributed to Ten, D..

2 recordsLinked to original sources

Enhanced Medium-Chain Fatty Acid Production in Megasphaera elsdenii via Adaptive Laboratory Evolution and Genomic Insights

The shift toward a sustainable bioeconomy has increased interest in microbial platforms capable of producing valuable fatty acids. Megasphaera elsdenii is emerging as a promising candidate for fatty acid bioproduction, although its performance varies depending on the strain. This study compares two M. elsdenii strains, JCM 1772 (ATCC 25940) and JCM 35779, revealing that JCM 35779 produces up to 5.8 times more hexanoic acid than JCM 1772. Comparative genomic analysis identified key differences between the strains, including the loss of enzymes involved in the pyruvate-to-butyric acid pathway in JCM 35779, indicating a rerouting of carbon flux that favors chain elongation toward hexanoic acid instead of butyric acid. Overall, this work links genomic variation to metabolic phenotype, establishes JCM 35779 as a superior medium-chain fatty acid producer, and supports the development of M. elsdenii as an effective platform for sustainable production of medium-chain fatty acids. HighlightsO_LIPig-feces M. elsdenii shows >5 times higher HA production than its rumen strain. C_LIO_LIGenomic analysis reveals strain-specific deletions in pathways for MCFA synthesis. C_LIO_LIThis includes etfB2, cat1 and abfD. C_LI

microbiology↗

A Singapore-centric Fungal Dataset of 518 Cultivated Strains with Visual Phenotypes and Taxonomic Identity

The fungal kingdom represents a greatly untapped resource to produce a wide range of bioactive secondary metabolites, including antibiotics, anticancer agents, industrially significant dyes and enzymes. To-date, it is estimated only less than 5% of all fungi have been characterised, a deficit that is especially pronounced in tropical regions like Singapore, where fungal diversity remains underexplored compared to northern hemisphere counterparts. This underlines the urgency and importance of our research which motivated the creation of our curated dataset, aiming to address this gap and contribute to understanding the broader ecosystem. We developed a generalisable cultivation workflow that enables systematic strain preparation, supports high-resolution imaging, and yields sufficient fungal biomass amenable for genomic analyses. This resulted in a diverse collection of 518 phylogenetically and ecologically varied fungal strains from both terrestrial and marine environments in biodiverse Singapore. The curated dataset from this project captures both taxonomic identity and colony-level morphological traits serving as a foundation for visual phenotype to taxonomy mapping through the integration of computer vision.

microbiology↗