4.5 Article

Identification of a Marine Cyanophage in a Protist Single-cell Metagenome Assembly

Journal

JOURNAL OF PHYCOLOGY
Volume 49, Issue 1, Pages 207-212

Publisher

WILEY
DOI: 10.1111/jpy.12028

Keywords

cyanophage; gene network; horizontal gene transfer; Paulinella; phylogenomics; single cell genomics

Funding

  1. NSF [EF-0827023, DEB-0936884, DEB-0937975]
  2. Next-Generation BioGreen 21 Program (SSAC), Rural Development Administration in Korea [2012-PJ008177]
  3. Division Of Environmental Biology
  4. Direct For Biological Sciences [1004213] Funding Source: National Science Foundation

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Analysis of microbial biodiversity is hampered by a lack of reference genomes from most bacteria, viruses, and algae. This necessitates either the cultivation of a restricted number of species for standard sequencing projects or the analysis of highly complex environmental DNA metagenome data. Single-cell genomics (SCG) offers a solution to this problem by constraining the studied DNA sample to an individual cell and its associated symbionts, prey, and pathogens. We used SCG to study marine heterotrophic amoebae related to Paulinella ovalis (A. Wulff) P.W. Johnson, P.E. Hargraves & J.M. Sieburth (Rhizaria). The genus Paulinella is best known for its photosynthetic members such as P.chromatophora Lauterborn that is the only case of plastid primary endosymbiosis known outside of algae and plants. Here, we studied the phagotrophic sister taxa of P.chromatophora that are related to P.ovalis and found one SCG assembly to contain -cyanobacterial DNA. These cyanobacterial contigs are presumably derived from prey. We also uncovered an associated cyanophage lineage (provisionally named phage PoL_MC2). Phylogenomic analysis of the fragmented genome assembly suggested a minimum genome size of 200Kbp for phage PoL_MC2 that encodes 179 proteins and is most closely related to Synechococcus phage S-SM2. For this phage, gene network analysis demonstrates a highly modular genome structure typical of other cyanophages. Our work demonstrates that SCG is a powerful approach for discovering algal and protist biodiversity and for elucidating biotic interactions in natural samples.

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