4.6 Article

Dynamic Viral Populations in Hypersaline Systems as Revealed by Metagenomic Assembly

Journal

APPLIED AND ENVIRONMENTAL MICROBIOLOGY
Volume 78, Issue 17, Pages 6309-6320

Publisher

AMER SOC MICROBIOLOGY
DOI: 10.1128/AEM.01212-12

Keywords

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Funding

  1. National Science Foundation [0626526]
  2. Department of Energy [DE-FG02-07ER64505]
  3. Div Of Molecular and Cellular Bioscience
  4. Direct For Biological Sciences [0626526] Funding Source: National Science Foundation

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Viruses of the Bacteria and Archaea play important roles in microbial evolution and ecology, and yet viral dynamics in natural systems remain poorly understood. Here, we created de novo assemblies from 6.4 Gbp of metagenomic sequence from eight community viral concentrate samples, collected from 12 h to 3 years apart from hypersaline Lake Tyrrell (LT), Victoria, Australia. Through extensive manual assembly curation, we reconstructed 7 complete and 28 partial novel genomes of viruses and virus-like entities (VLEs, which could be viruses or plasmids). We tracked these 35 populations across the eight samples and found that they are generally stable on the timescale of days and transient on the timescale of years, with some exceptions. Cross-detection of the 35 LT populations in three previously described haloviral metagenomes was limited to a few genes, and most previously sequenced haloviruses were not detected in our samples, though 3 were detected upon reducing our detection threshold from 90% to 75% nucleotide identity. Similar results were obtained when we applied our methods to haloviral metagenomic data previously reported from San Diego, CA: 10 contigs that we assembled from that system exhibited a variety of detection patterns on a timescale of weeks to 1 month but were generally not detected in LT. Our results suggest that most haloviral populations have a limited or, possibly, a temporally variable global distribution. This study provides high-resolution insight into viral biogeography and dynamics and it places snapshot viral metagenomes, collected at a single time and location, in context.

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