<p>Large genome databases have markedly improved our understanding of marine microorganisms<sup><CitationRef AdditionalCitationIDS="CR2 CR3 CR4" CitationID="CR1">1</CitationRef>–<CitationRef CitationID="CR5">5</CitationRef></sup>. Although these resources have focused on prokaryotes, genomes from many dominant marine lineages, such as <i>Pelagibacter</i> and <i>Prochlorococcus</i>, are conspicuously underrepresented. Here we present the Great Barrier Reef Microbial Genomes Database (GBR-MGD), comprising 5,283 prokaryotic genomes obtained from Great&#xa0;Barrier&#xa0;Reef seawater samples using Nanopore and Illumina sequencing, including a collection of high-quality genomes of underrepresented groups. We show that standard short-read assemblies miss these populations owing to a combination of strain heterogeneity and low-GC-percentage sequencing bias. The GBR-MGD also comprises 20 chromosome-level picoeukaryote and 808,585 viral genomes, including a newly described clade of marine <i>Crassvirales</i>. We demonstrate the utility of the GBR-MGD to identify indicator taxa that can reliably predict the effects of reef management practices, such as the establishment of marine protected zones.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

The planktonic microbiome of the Great Barrier Reef

  • Steven Robbins,
  • Marko Terzin,
  • Katherine Dougan,
  • Julian Zaugg,
  • Sara C. Bell,
  • Patrick W. Laffy,
  • J. Pamela Engelberts,
  • Kim-Anh Lê Cao,
  • Renee K. Gruber,
  • Nicole S. Webster,
  • David G. Bourne,
  • Philip Hugenholtz,
  • Yun Kit Yeoh

摘要

Large genome databases have markedly improved our understanding of marine microorganisms15. Although these resources have focused on prokaryotes, genomes from many dominant marine lineages, such as Pelagibacter and Prochlorococcus, are conspicuously underrepresented. Here we present the Great Barrier Reef Microbial Genomes Database (GBR-MGD), comprising 5,283 prokaryotic genomes obtained from Great Barrier Reef seawater samples using Nanopore and Illumina sequencing, including a collection of high-quality genomes of underrepresented groups. We show that standard short-read assemblies miss these populations owing to a combination of strain heterogeneity and low-GC-percentage sequencing bias. The GBR-MGD also comprises 20 chromosome-level picoeukaryote and 808,585 viral genomes, including a newly described clade of marine Crassvirales. We demonstrate the utility of the GBR-MGD to identify indicator taxa that can reliably predict the effects of reef management practices, such as the establishment of marine protected zones.