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  • 1
    Publikationsdatum: 2016-03-24
    Beschreibung: Lytic to temperate switching of viral communities Nature 531, 7595 (2016). doi:10.1038/nature17193 Authors: B. Knowles, C. B. Silveira, B. A. Bailey, K. Barott, V. A. Cantu, A. G. Cobián-Güemes, F. H. Coutinho, E. A. Dinsdale, B. Felts, K. A. Furby, E. E. George, K. T. Green, G. B. Gregoracci, A. F. Haas, J. M. Haggerty, E. R. Hester, N. Hisakawa, L. W. Kelly, Y. W. Lim, M. Little, A. Luque, T. McDole-Somera, K. McNair, L. S. de Oliveira, S. D. Quistad, N. L. Robinett, E. Sala, P. Salamon, S. E. Sanchez, S. Sandin, G. G. Z. Silva, J. Smith, C. Sullivan, C. Thompson, M. J. A. Vermeij, M. Youle, C. Young, B. Zgliczynski, R. Brainard, R. A. Edwards, J. Nulton, F. Thompson & F. Rohwer Microbial viruses can control host abundances via density-dependent lytic predator–prey dynamics. Less clear is how temperate viruses, which coexist and replicate with their host, influence microbial communities. Here we show that virus-like particles are relatively less abundant at high host densities. This suggests suppressed lysis
    Print ISSN: 0028-0836
    Digitale ISSN: 1476-4687
    Thema: Biologie , Chemie und Pharmazie , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Publikationsdatum: 2016-11-03
    Beschreibung: Corrigendum: Lytic to temperate switching of viral communities Nature 539, 7627 (2016). doi:10.1038/nature19335 Authors: B. Knowles, C. B. Silveira, B. A. Bailey, K. Barott, V. A. Cantu, A. G. Cobián-Güemes, F. H. Coutinho, E. A. Dinsdale, B. Felts, K. A. Furby, E. E. George, K. T. Green, G. B. Gregoracci, A. F. Haas, J. M. Haggerty, E. R. Hester, N. Hisakawa, L. W. Kelly, Y. W. Lim, M. Little, A. Luque, T. McDole-Somera, K. McNair, L. S. de Oliveira, S. D. Quistad, N. L. Robinett, E. Sala, P. Salamon, S. E. Sanchez, S. Sandin, G. G. Z. Silva, J. Smith, C. Sullivan, C. Thompson, M. J. A. Vermeij, M. Youle, C. Young, B. Zgliczynski, R. Brainard, R. A. Edwards, J. Nulton, F. Thompson & F. Rohwer Nature531, 466–470 (2016); doi:10.1038/nature17193In this Article, the ‘Predator–prey modelling’ section of the Methods shows Lotka–Volterra equations. Although these equations are meant to present a basic Lotka–Volterra model, the term ‘N/K’ in the
    Print ISSN: 0028-0836
    Digitale ISSN: 1476-4687
    Thema: Biologie , Chemie und Pharmazie , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    Publikationsdatum: 2016-03-17
    Beschreibung: Microbial viruses can control host abundances via density-dependent lytic predator-prey dynamics. Less clear is how temperate viruses, which coexist and replicate with their host, influence microbial communities. Here we show that virus-like particles are relatively less abundant at high host densities. This suggests suppressed lysis where established models predict lytic dynamics are favoured. Meta-analysis of published viral and microbial densities showed that this trend was widespread in diverse ecosystems ranging from soil to freshwater to human lungs. Experimental manipulations showed viral densities more consistent with temperate than lytic life cycles at increasing microbial abundance. An analysis of 24 coral reef viromes showed a relative increase in the abundance of hallmark genes encoded by temperate viruses with increased microbial abundance. Based on these four lines of evidence, we propose the Piggyback-the-Winner model wherein temperate dynamics become increasingly important in ecosystems with high microbial densities; thus 'more microbes, fewer viruses'.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Knowles, B -- Silveira, C B -- Bailey, B A -- Barott, K -- Cantu, V A -- Cobian-Guemes, A G -- Coutinho, F H -- Dinsdale, E A -- Felts, B -- Furby, K A -- George, E E -- Green, K T -- Gregoracci, G B -- Haas, A F -- Haggerty, J M -- Hester, E R -- Hisakawa, N -- Kelly, L W -- Lim, Y W -- Little, M -- Luque, A -- McDole-Somera, T -- McNair, K -- de Oliveira, L S -- Quistad, S D -- Robinett, N L -- Sala, E -- Salamon, P -- Sanchez, S E -- Sandin, S -- Silva, G G Z -- Smith, J -- Sullivan, C -- Thompson, C -- Vermeij, M J A -- Youle, M -- Young, C -- Zgliczynski, B -- Brainard, R -- Edwards, R A -- Nulton, J -- Thompson, F -- Rohwer, F -- England -- Nature. 2016 Mar 24;531(7595):466-70. doi: 10.1038/nature17193. Epub 2016 Mar 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Biology Institute, Rio de Janeiro Federal University, Av. Carlos Chagas Filho 373, Rio de Janeiro, Rio de Janeiro 21941-599, Brazil. ; Department of Mathematics and Statistics, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Hawaii Institute of Marine Biology, University of Hawaii at Manoa, 46-007 Lilipuna Road, Kaneohe, Hawaii 96744, USA. ; Computational Science Research Center, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Rainbow Rock, Ocean View, Hawaii 96737, USA. ; Radboud University Medical Centre, Radboud Institute for Molecular Life Sciences, Centre for Molecular and Biomolecular Informatics, 6525HP Nijmegen, The Netherlands. ; Viral Information Institute, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Scripps Institution of Oceanography, 8622 Kennel Way, La Jolla, California 92037, USA. ; Department of Biology, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Marine Sciences Department, Sao Paulo Federal University - Baixada Santista, Av. Alm. Saldanha da Gama, 89, Santos, Sao Paulo 11030-400, Brazil. ; National Geographic Society, 1145 17th St NW, Washington D.C. 20036, USA. ; CARMABI Foundation, Piscaderabaai z/n, Willemstad, Curacao, Netherlands Antilles. ; Aquatic Microbiology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1098XH Amsterdam, The Netherlands.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26982729" target="_blank"〉PubMed〈/a〉
    Schlagwort(e): Animals ; Anthozoa/physiology/*virology ; Bacteriophages/pathogenicity/physiology ; Coral Reefs ; *Ecosystem ; Genes, Viral/genetics ; *Host-Pathogen Interactions ; Lysogeny ; Models, Biological ; Virulence/genetics ; Viruses/genetics/isolation & purification/*pathogenicity
    Print ISSN: 0028-0836
    Digitale ISSN: 1476-4687
    Thema: Biologie , Chemie und Pharmazie , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    Publikationsdatum: 2017-12-16
    Beschreibung: We present a metagenomic study of Lake Baikal (East Siberia). Two samples obtained from the water column under the ice cover (5 and 20 m deep) in March 2016 have been deep sequenced and the reads assembled to generate metagenome-assembled genomes (MAGs) that are representative of the microbes living in this special environment. Compared with freshwater bodies studied around the world, Lake Baikal had an unusually high fraction of Verrucomicrobia . Other groups, such as Actinobacteria and Proteobacteria , were in proportions similar to those found in other lakes. The genomes (and probably cells) tended to be small, presumably reflecting the extremely oligotrophic and cold prevalent conditions. Baikal microbes are novel lineages recruiting very little from other water bodies and are distantly related to other freshwater microbes. Despite their novelty, they showed the closest relationship to genomes discovered by similar approaches from other freshwater lakes and reservoirs. Some of them were particularly similar to MAGs from the Baltic Sea, which, although it is brackish, connected to the ocean, and much more eutrophic, has similar climatological conditions. Many of the microbes contained rhodopsin genes, indicating that, in spite of the decreased light penetration allowed by the thick ice/snow cover, photoheterotrophy could be widespread in the water column, either because enough light penetrates or because the microbes are already adapted to the summer ice-less conditions. We have found a freshwater SAR11 subtype I/II representative showing striking synteny with Pelagibacter ubique strains, as well as a phage infecting the widespread freshwater bacterium Polynucleobacter . IMPORTANCE Despite the increasing number of metagenomic studies on different freshwater bodies, there is still a missing component in oligotrophic cold lakes suffering from long seasonal frozen cycles. Here, we describe microbial genomes from metagenomic assemblies that appear in the upper water column of Lake Baikal, the largest and deepest freshwater body on Earth. This lake is frozen from January to May, which generates conditions that include an inverted temperature gradient (colder up), decrease in light penetration due to ice, and, especially, snow cover, and oligotrophic conditions more similar to the open-ocean and high-altitude lakes than to other freshwater or brackish systems. As could be expected, most reconstructed genomes are novel lineages distantly related to others in cold environments, like the Baltic Sea and other freshwater lakes. Among them, there was a broad set of streamlined microbes with small genomes/intergenic spacers, including a new nonmarine Pelagibacter -like (subtype I/II) genome.
    Print ISSN: 0099-2240
    Digitale ISSN: 1098-5336
    Thema: Biologie
    Standort Signatur Einschränkungen Verfügbarkeit
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