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Showing 1–14 of 14 results
Advanced filters: Author: Nigel J. Mouncey Clear advanced filters

  • BiG-SCAPE and BiG-SLiCE are computational tools that enable exploring the diversity of metabolic gene clusters across microbial genomes. Here, the authors present major updates to these tools, providing essential infrastructure for studying the diversity of microbial metabolism.

    • Arjan Draisma
    • Catarina Loureiro
    • Marnix H. Medema
    ResearchOpen Access
    Nature Communications
    P: 1-12

  • Here the authors present their method ‘regulon identification by in vitro transcription-sequencing’ (RIViT-seq), which enables systematic identification of target genes of transcription factors of interest. They applied RIViT-seq to 13 sigma factors from Streptomyces coelicolor A3(2) and successfully identified target genes of 11 of these, expanding the regulatory characterisation in this organism.

    • Hiroshi Otani
    • Nigel J. Mouncey
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-10

  • Upcycling urine in wastewater for nitrogen and phosphorus production has gained attention, but their low market values hamper the application. Here, the authors develop a yeast platform that mimics osteoblast mechanisms to produce the high-value hydroxyapatite directly from urine.

    • Isaak E. Müller
    • Alex Y. W. Lin
    • Yasuo Yoshikuni
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13

  • Chassis-independent recombinase-assisted genome engineering (CRAGE) enables the integration of plasmids encoding biosynthetic gene clusters into the chromosomes of diverse bacteria to optimize production of natural products in non-native strains.

    • Gaoyan Wang
    • Zhiying Zhao
    • Yasuo Yoshikuni
    Research
    Nature Microbiology
    Volume: 4, P: 2498-2510

  • To harness the potential of microbiome science across the broad range of relevant disciplines, new approaches to data infrastructure and transdisciplinary collaboration are necessary. The National Microbiome Data Collaborative is a new initiative to support microbiome data exploration and discovery through a collaborative, integrative data science ecosystem.

    • Elisha M. Wood-Charlson
    • Anubhav
    • Emiley A. Eloe-Fadrosh
    Comments & Opinion
    Nature Reviews Microbiology
    Volume: 18, P: 313-314

  • As microbiome science expands, academic centres scramble to fill many needs, from service provider to industry liaison. A newly created network aims to share strategies and accelerate knowledge transfer, and invites others to join the efforts.

    • Jennifer B. H. Martiny
    • Katrine L. Whiteson
    • Joel L. Sachs
    Comments & Opinion
    Nature Microbiology
    Volume: 5, P: 2-3

  • This month’s Genome Watch highlights how recent advances in computational identification of biosynthetic gene clusters (BGCs), and in their experimental manipulation, are opening new avenues to access novel secondary metabolites.

    • Daniel W. Udwary
    • Hiroshi Otani
    • Nigel J. Mouncey
    News
    Nature Reviews Microbiology
    Volume: 19, P: 683

  • Cataloging microbial genomes from Earth’s environments expands the known phylogenetic diversity of bacteria and archaea.

    • Stephen Nayfach
    • Simon Roux
    • Emiley A. Eloe-Fadrosh
    ResearchOpen Access
    Nature Biotechnology
    Volume: 39, P: 499-509

  • In this Review, Dinglasan and colleagues explore innovations that facilitate rapid microbial secondary metabolite discovery, focusing on recent techniques for the prediction of biosynthetic gene clusters (BGCs) from genomic data bases, isolating novel BGCs from the environment, and producing and detecting the chemical products of these sequences in the laboratory.

    • Jaime Lorenzo N. Dinglasan
    • Hiroshi Otani
    • Nigel J. Mouncey
    Reviews
    Nature Reviews Microbiology
    Volume: 23, P: 338-354