Sub-daily virus sampling at the Bermuda Atlantic Time Series reveals diel and depth-structured population dynamics without community-level shifts.

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Title: Sub-daily virus sampling at the Bermuda Atlantic Time Series reveals diel and depth-structured population dynamics without community-level shifts.
Authors: Carrillo A; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Centre of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America., Hageman E; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America., Chittick L; College of Veterinary Medicine, Midwestern University, Glendale, Arizona, United States of America., Mackey AI; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America., Ndlovu KS; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Centre of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America.; EMERGE Biology Integration Institute, The Ohio State University, Columbus, Ohio, United States of America., Tian F; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Centre of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America., Gilbert NE; Lawrence Livermore National Laboratory, Livermore, California, United States of America.; Department of Microbiology, The University of Tennessee, Knoxville, Tennessee, United States of America., Muratore D; School of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.; Santa Fe Institute, Santa Fe, New Mexico, United States of America., Vik D; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Centre of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America., LeCleir GR; Department of Microbiology, The University of Tennessee, Knoxville, Tennessee, United States of America., Sun C; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Centre of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America., Jang HB; Korea Virus Research Institute, Daejeon, South Korea., Pavan RR; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Centre of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America., Weitz JS; Institute of Health Computing, The University of Maryland, College Park, Maryland, United States of America.; Strategic Partnership: MPowering the State, The University of Maryland, College Park, Maryland, United States of America., Wilhelm SW; Department of Microbiology, The University of Tennessee, Knoxville, Tennessee, United States of America., Sullivan MB; Department of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.; Centre of Microbiome Science, The Ohio State University, Columbus, Ohio, United States of America.; EMERGE Biology Integration Institute, The Ohio State University, Columbus, Ohio, United States of America.; The Infectious Disease Institute, The Ohio State University, Columbus, Ohio, United States of America.
Source: PLoS biology [PLoS Biol] 2026 Mar 06; Vol. 24 (3), pp. e3003474. Date of Electronic Publication: 2026 Mar 06 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101183755 Publication Model: eCollection Cited Medium: Internet ISSN: 1545-7885 (Electronic) Linking ISSN: 15449173 NLM ISO Abbreviation: PLoS Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1545-7885
DOI:10.1371/journal.pbio.3003474