<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Heng E</submitter><funding>Agency for Science, Technology and Research</funding><funding>National Research Foundation Singapore</funding><funding>Institute of Molecular and Cell Biology</funding><pagination>253-261</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10060144</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8(2)</volume><pubmed_abstract>With the advent of rapid automated &lt;i>in silico&lt;/i> identification of biosynthetic gene clusters (BGCs), genomics presents vast opportunities to accelerate natural product (NP) discovery. However, prolific NP producers, &lt;i>Streptomyces&lt;/i>, are exceptionally GC-rich (>80%) and highly repetitive within BGCs. These pose challenges in sequencing and high-quality genome assembly which are currently circumvented &lt;i>via&lt;/i> intensive sequencing. Here, we outline a more cost-effective workflow using multiplex Illumina and Oxford Nanopore sequencing with hybrid long-short read assembly algorithms to generate high quality genomes. Our protocol involves subjecting long read-derived assemblies to up to 4 rounds of polishing with short reads to yield accurate BGC predictions. We successfully sequenced</pubmed_abstract><journal>Synthetic and systems biotechnology</journal><pubmed_title>Cost-effective hybrid long-short read assembly delineates alternative GC-rich &lt;i>Streptomyces&lt;/i> hosts for natural product discovery.</pubmed_title><pmcid>PMC10060144</pmcid><funding_grant_id>21719</funding_grant_id><funding_grant_id>NRF-CRP19-2017-05-00</funding_grant_id><pubmed_authors>Yang LK</pubmed_authors><pubmed_authors>Kanagasundaram Y</pubmed_authors><pubmed_authors>Leong CY</pubmed_authors><pubmed_authors>Koduru L</pubmed_authors><pubmed_authors>Tay DWP</pubmed_authors><pubmed_authors>Seow DCS</pubmed_authors><pubmed_authors>Heng E</pubmed_authors><pubmed_authors>Lim YH</pubmed_authors><pubmed_authors>Wong FT</pubmed_authors><pubmed_authors>Ng V</pubmed_authors><pubmed_authors>Ng SB</pubmed_authors><pubmed_authors>Tan LL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Cost-effective hybrid long-short read assembly delineates alternative GC-rich &lt;i>Streptomyces&lt;/i> hosts for natural product discovery.</name><description>With the advent of rapid automated &lt;i>in silico&lt;/i> identification of biosynthetic gene clusters (BGCs), genomics presents vast opportunities to accelerate natural product (NP) discovery. However, prolific NP producers, &lt;i>Streptomyces&lt;/i>, are exceptionally GC-rich (>80%) and highly repetitive within BGCs. These pose challenges in sequencing and high-quality genome assembly which are currently circumvented &lt;i>via&lt;/i> intensive sequencing. Here, we outline a more cost-effective workflow using multiplex Illumina and Oxford Nanopore sequencing with hybrid long-short read assembly algorithms to generate high quality genomes. Our protocol involves subjecting long read-derived assemblies to up to 4 rounds of polishing with short reads to yield accurate BGC predictions. We successfully sequenced</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jun</publication><modification>2026-07-15T01:27:11.334Z</modification><creation>2025-02-19T02:23:02.243Z</creation></dates><accession>S-EPMC10060144</accession><cross_references><pubmed>37007277</pubmed><doi>10.1016/j.synbio.2023.03.001</doi></cross_references></HashMap>