Eukaryotic genomes from a global metagenomic data set illuminate trophic modes and biogeography of ocean plankton

Journal Article · 18 December 2023 · mBio (Online)

DOI: https://doi.org/10.1128/mbio.01676-23 · OSTI ID:2205379

Alexander, Harriet  ^[1]; Hu, Sarah K.  ^[2]; Krinos, Arianna I.  ^[3]; Pachiadaki, Maria ^[1]; Tully, Benjamin J.  ^[4]; Neely, Christopher J. ^[5]; Reiter, Taylor  ^[6]; Fraser, ed., Claire M.

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1. Biology Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA
2. Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA
3. Biology Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA, MIT-WHOI Joint Program in Oceanography/Applied Ocean Science and Engineering, Cambridge and Woods Hole, Massachusetts, USA
4. Department of Biological Sciences, University of Southern California, Los Angeles, California, USA
5. Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, USA
6. Population Health and Reproduction, University of California, Davis, Davis, California, USA

ABSTRACT Metagenomics is a powerful method for interpreting the ecological roles and physiological capabilities of mixed microbial communities. Yet, many tools for processing metagenomic data are neither designed to consider eukaryotes nor are they built for an increasing amount of sequence data. EukHeist is an automated pipeline to retrieve eukaryotic and prokaryotic metagenome-assembled genomes (MAGs) from large-scale metagenomic sequence data sets. We developed the EukHeist workflow to specifically process large amounts of both metagenomic and/or metatranscriptomic sequence data in an automated and reproducible fashion. Here, we applied EukHeist to the large-size fraction data (0.8–2,000 µm) from Tara Oceans to recover both eukaryotic and prokaryotic MAGs, which we refer to as TOPAZ (Tara Oceans Particle-Associated MAGs). The TOPAZ MAGs consisted of >900 environmentally relevant eukaryotic MAGs and >4,000 bacterial and archaeal MAGs. The bacterial and archaeal TOPAZ MAGs expand upon the phylogenetic diversity of likely particle- and host-associated taxa. We use these MAGs to demonstrate an approach to infer the putative trophic mode of the recovered eukaryotic MAGs. We also identify ecological cohorts of co-occurring MAGs, which are driven by specific environmental factors and putative host-microbe associations. These data together add to a number of growing resources of environmentally relevant eukaryotic genomic information. Complementary and expanded databases of MAGs, such as those provided through scalable pipelines like EukHeist, stand to advance our understanding of eukaryotic diversity through increased coverage of genomic representatives across the tree of life. IMPORTANCE Single-celled eukaryotes play ecologically significant roles in the marine environment, yet fundamental questions about their biodiversity, ecological function, and interactions remain. Environmental sequencing enables researchers to document naturally occurring protistan communities, without culturing bias, yet metagenomic and metatranscriptomic sequencing approaches cannot separate individual species from communities. To more completely capture the genomic content of mixed protistan populations, we can create bins of sequences that represent the same organism (metagenome-assembled genomes [MAGs]). We developed the EukHeist pipeline, which automates the binning of population-level eukaryotic and prokaryotic genomes from metagenomic reads. We show exciting insight into what protistan communities are present and their trophic roles in the ocean. Scalable computational tools, like EukHeist, may accelerate the identification of meaningful genetic signatures from large data sets and complement researchers’ efforts to leverage MAG databases for addressing ecological questions, resolving evolutionary relationships, and discovering potentially novel biodiversity.

• Research Organization: Krell Institute, Ames, IA (United States)
• Sponsoring Organization: National Science Foundation (NSF); Simons Foundation (SF); USDOE; USDOE Office of Science (SC)
• Grant/Contract Number: SC0020347
• OSTI ID: 2205379
• Journal Information: mBio (Online), Journal Name: mBio (Online) Journal Issue: 6 Vol. 14; ISSN 2150-7511
• Publisher: American Society for MicrobiologyCopyright Statement
• Country of Publication: United States
• Language: English