Biology subjects

Fewer, D. P.

Publications and source records attributed to Fewer, D. P..

4 recordsLinked to original sources

bioRxiv2026

Linking Cyanobacterial Genomes to Toxin Dynamics Through Genome-Resolved Metagenomics

Global climate change and nutrient pollution from agricultural systems increase cyanobacterial bloom and toxin release events, and will pose a significant concern for public health and safety over the coming decades. Many in situ studies have focused on environmental, chemical, and microbial community changes and their impact on cyanobacterial bloom frequency and toxicity. However, fine-scale genetic differences in the genomes of bloom-forming cyanobacteria may also impact the quantity and types of toxins produced. Metagenomic approaches allow resolution of strain- and nucleotide-level changes within microbial communities and can improve our understanding of the factors that affect cyanobacterial bloom dynamics and toxicity. Here, we conduct a metagenomic analysis of the bloom-forming cyanobacterial genus Microcystis across a 10-month lake time series from the Valle de Bravo Reservoir, to assess how within-genus genotype-level changes are linked to intracellular toxin production and extracellular toxin release, as well as how single nucleotide variation may affect the types of microcystin toxins produced. Our results demonstrate that the abundances of both toxigenic and non-toxigenic Microcystis genotypes are significantly related to microcystin toxin concentrations. In addition to these genome-wide ("strain"-level) associations, specific single nucleotide variants show strong associations with chemical variants of microcystin in the environment. Our work highlights the importance of fine-scale analysis of microbial community composition for understanding cyanobacterial bloom dynamics and toxin production.

microbiology↗

bioRxiv2022

Single cell mutant selection for metabolic engineering of actinomycetes

Actinomycetes are important producers of pharmaceuticals and industrial enzymes. However, wild type strains require laborious development prior to industrial usage. Here we present a generally applicable reporter-guided metabolic engineering tool based on random mutagenesis, selective pressure, and single-cell sorting. We developed fluorescence-activated cell sorting (FACS) methodology capable of reproducibly identifying high-performing individual cells from a mutant population directly from liquid cultures. Genome-mining based drug discovery is a promising source of bioactive compounds, which is complicated by the observation that target metabolic pathways may be silent under laboratory conditions. We demonstrate our technology for drug discovery by activating a silent mutaxanthene metabolic pathway in Amycolatopsis. We apply the method for industrial strain development and increase mutaxanthene yields 9-fold to 99 mg l-1 in a second round of mutant selection. Actinomycetes are an important source of catabolic enzymes, where product yields determine industrial viability. We demonstrate 5-fold yield improvement with an industrial cholesterol oxidase ChoD producer Streptomyces lavendulae to 20.4 U g-1 in three rounds. Strain development is traditionally followed by production medium optimization, which is a time-consuming multi-parameter problem that may require hard to source ingredients. Ultra-high throughput screening allowed us to circumvent medium optimization and we identified high ChoD yield production strains directly from mutant libraries grown under preset culture conditions. In summary, the ability to screen tens of millions of mutants in a single cell format offers broad applicability for metabolic engineering of actinomycetes for activation of silent metabolic pathways and to increase yields of proteins and natural products.

bioengineering↗

bioRxiv2020

Shared PKS modules in biosynthesis of synergistic laxaphycins

Cyanobacteria produce a wide range of lipopeptides that exhibit potent membrane-disrupting activities. Laxaphycins consist of two families of structurally distinct macrocyclic lipopeptides that act in a synergistic manner to produce antifungal and antiproliferative activities. Laxaphycins are produced by range of cyanobacteria but their biosynthetic origins remain unclear. Here, we identified the biosynthetic pathways responsible for the biosynthesis of the laxaphycins produced by Scytonema hofmannii PCC 7110. We show that these laxaphycins, called scytocyclamides, are produced by this cyanobacterium and are encoded in a single biosynthetic gene cluster with shared polyketide synthase enzymes initiating two distinct non-ribosomal peptide synthetase pathways. To our knowledge, laxaphycins are the first clearly distinct polyketide synthase and non-ribosomal peptide synthetase hybrid natural products with shared branched biosynthesis. The unusual mechanism of shared enzymes synthesizing two distinct types of products may aid future research in identifying and expressing natural product biosynthetic pathways and in expanding the known biosynthetic logic of this important family of natural products.

microbiology↗

bioRxiv2020

Comprehensive database of secondary metabolites from cyanobacteria

Cyanobacteria form harmful mass blooms in freshwater and marine environments around the world. A range of secondary metabolites has been identified from cultures of cyanobacteria and biomass collected from cyanobacterial bloom events. A comprehensive database is necessary to correctly identify cyanobacterial metabolites and advance research on their abundance, persistence and toxicity in natural environments. We consolidated open access databases and manually curated missing information from the literature published between 1970 and March 2020. The result is the database CyanoMetDB, which includes more than 2000 entries based on more than 750 literature references. This effort has more than doubled the total number of entries with complete literature metadata and structural composition (SMILES codes) compared to publicly available databases to this date. Over the past decade, more than one hundred additional secondary metabolites have been identified yearly. We organized all entries into structural classes and conducted substructure searches of the provided SMILES codes. This approach demonstrated, for example, that 65% of the compounds carry at least one peptide bond, 57% are cyclic compounds, and 30% carry at least one halogen atom. Structural searches by SMILES code can be further specified to identify structural motifs that are relevant for analytical approaches, research on biosynthetic pathways, bioactivity-guided analysis, or to facilitate predictive science and modeling efforts on cyanobacterial metabolites. This database facilitates rapid identification of cyanobacterial metabolites from toxic blooms, research on the biosynthesis of cyanobacterial natural products, and the identification of novel natural products from cyanobacteria. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=125 SRC="FIGDIR/small/038703v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@3504f7org.highwire.dtl.DTLVardef@d92680org.highwire.dtl.DTLVardef@6ea103org.highwire.dtl.DTLVardef@10cd983_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗