2018
DOI: 10.1002/anie.201804317
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Genome Mining and Comparative Biosynthesis of Meroterpenoids from Two Phylogenetically Distinct Fungi

Abstract: Two homologous meroterpenoid gene clusters consisting of contiguous genes encoding polyketide synthase (PKS), prenyltransferase (PT), terpenoid cyclase (TC) and other tailoring enzymes were identified from two phylogenetically distinct fungi through computational analysis. Media optimization guided by reverse-transcription PCR (RT-PCR) enabled two strains to produce eight new and two known meroterpenoids (1-10). Using gene inactivation, heterologous expression, and biochemical analyses, we revealed a new polyk… Show more

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Cited by 42 publications
(95 citation statements)
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“…So, these computational tools provide a culture-independent route to find new secondary metabolites where traditional laboratory-based approaches fail. Thus, integrating computational and experimental technologies together into a comparative platform that can address large-scale natural product characterization projects will enable further exploration of the natural products [ 153 ]. With the development of high-throughput sequencing and computational analysis, genome sequence-based mining approaches could be summarized according to their evolutionary records in the following; (1) Classical genome mining, (2) Comparative genome mining, (3) Phylogeny based genome mining, (4) Resistance/target based genome mining, (5) Metagenome mining, (6) single cell genome mining [ 154 ].…”
Section: Genome Miningmentioning
confidence: 99%
“…So, these computational tools provide a culture-independent route to find new secondary metabolites where traditional laboratory-based approaches fail. Thus, integrating computational and experimental technologies together into a comparative platform that can address large-scale natural product characterization projects will enable further exploration of the natural products [ 153 ]. With the development of high-throughput sequencing and computational analysis, genome sequence-based mining approaches could be summarized according to their evolutionary records in the following; (1) Classical genome mining, (2) Comparative genome mining, (3) Phylogeny based genome mining, (4) Resistance/target based genome mining, (5) Metagenome mining, (6) single cell genome mining [ 154 ].…”
Section: Genome Miningmentioning
confidence: 99%
“…According to this rule, the amino acid building block composition of NRPs can correlate well with their corresponding NRPS architectures 6,7. With the massive accumulation of bacterial genome data, it has become obvious that the biosynthetic potential of NRPs greatly exceeds the number of compounds that have been isolated 8,9. Orphan gene clusters, which are gene loci to which no known homologous gene clusters can be found, represent a particularly rich and untapped source for novel natural product discovery.…”
mentioning
confidence: 99%
“… 6 , 7 With the massive accumulation of bacterial genome data, it has become obvious that the biosynthetic potential of NRPs greatly exceeds the number of compounds that have been isolated. 8 , 9 Orphan gene clusters, which are gene loci to which no known homologous gene clusters can be found, represent a particularly rich and untapped source for novel natural product discovery. Genome mining targeting the orphan NRPS gene cluster is therefore a powerful approach to discover novel NRPs.…”
mentioning
confidence: 99%
“…As an efficient way of obtaining new bioactive natural products, the genome mining effort can be facilitated by the BGC organization of almost all types of compounds such as meroterpenoids (45). This strategy enables as well the characterization of structurally diverse secondary metabolites encoded by orphan and neglected biosynthetic gene clusters (46).…”
Section: Identification Of the Curvulamine Biosynthetic Gene Cluster And Itsmentioning
confidence: 99%