Active virus-host interactions at sub-freezing temperatures in Arctic peat soil

被引:62
作者
Trubl, Gareth [1 ]
Kimbrel, Jeffrey A. [1 ]
Liquet-Gonzalez, Jose [1 ]
Nuccio, Erin E. [1 ]
Weber, Peter K. [1 ]
Pett-Ridge, Jennifer [1 ,2 ]
Jansson, Janet K. [3 ]
Waldrop, Mark P. [4 ]
Blazewicz, Steven J. [1 ]
机构
[1] Lawrence Livermore Natl Lab, Phys & Life Sci Directorate, Livermore, CA 94550 USA
[2] Univ Calif, Dept Life & Environm Sci, Merced, CA 95343 USA
[3] Pacific Northwest Natl Lab, Biol Sci Div, Richland, WA 99352 USA
[4] US Geol Survey, Geol Minerals Energy & Geophys Sci Ctr, 345 Middlefield Rd, Menlo Pk, CA 94025 USA
关键词
Soil viruses; Bacteriophage; Stable isotope probing; Permafrost; Peat; O-18-water; Metagenomics; MICROBIAL ACTIVITY; BACTERIAL-VIRUSES; RESISTANT RULES; PERMAFROST; GENOME; ABUNDANCE; MICROORGANISMS; COMMUNITIES; MECHANISMS; DIVERSITY;
D O I
10.1186/s40168-021-01154-2
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background: Winter carbon loss in northern ecosystems is estimated to be greater than the average growing season carbon uptake and is primarily driven by microbial decomposers. Viruses modulate microbial carbon cycling via induced mortality and metabolic controls, but it is unknown whether viruses are active under winter conditions (anoxic and sub-freezing temperatures). Results: We used stable isotope probing (SIP) targeted metagenomics to reveal the genomic potential of active soil microbial populations under simulated winter conditions, with an emphasis on viruses and virus-host dynamics. Arctic peat soils from the Bonanza Creek Long-Term Ecological Research site in Alaska were incubated under sub-freezing anoxic conditions with (H2O)-O-18 or natural abundance water for 184 and 370 days. We sequenced 23 SIP-metagenomes and measured carbon dioxide (CO2) efflux throughout the experiment. We identified 46 bacterial populations (spanning 9 phyla) and 243 viral populations that actively took up O-18 in soil and respired CO2 throughout the incubation. Active bacterial populations represented only a small portion of the detected microbial community and were capable of fermentation and organic matter degradation. In contrast, active viral populations represented a large portion of the detected viral community and one third were linked to active bacterial populations. We identified 86 auxiliary metabolic genes and other environmentally relevant genes. The majority of these genes were carried by active viral populations and had diverse functions such as carbon utilization and scavenging that could provide their host with a fitness advantage for utilizing much-needed carbon sources or acquiring essential nutrients. Conclusions: Overall, there was a stark difference in the identity and function of the active bacterial and viral community compared to the unlabeled community that would have been overlooked with a non-targeted standard metagenomic analysis. Our results illustrate that substantial active virus-host interactions occur in sub-freezing anoxic conditions and highlight viruses as a major community-structuring agent that likely modulates carbon loss in peat soils during winter, which may be pivotal for understanding the future fate of arctic soils' vast carbon stocks.
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页数:15
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共 114 条
[1]   Validation of Heavy-Water Stable Isotope Probing for the Characterization of Rapidly Responding Soil Bacteria [J].
Aanderud, Zachary T. ;
Lennon, Jay T. .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2011, 77 (13) :4589-4596
[2]   Environmental drivers of viral community composition in Antarctic soils identified by viromics [J].
Adriaenssens, Evelien M. ;
Kramer, Rolf ;
Van Goethem, Marc W. ;
Makhalanyane, Thulani P. ;
Hogg, Ian ;
Cowan, Don A. .
MICROBIOME, 2017, 5
[3]  
Alneberg J, 2014, NAT METHODS, V11, P1144, DOI [10.1038/NMETH.3103, 10.1038/nmeth.3103]
[4]   BASIC LOCAL ALIGNMENT SEARCH TOOL [J].
ALTSCHUL, SF ;
GISH, W ;
MILLER, W ;
MYERS, EW ;
LIPMAN, DJ .
JOURNAL OF MOLECULAR BIOLOGY, 1990, 215 (03) :403-410
[5]   Virus population dynamics and acquired virus resistance in natural microbial communities [J].
Andersson, Anders F. ;
Banfield, Jillian F. .
SCIENCE, 2008, 320 (5879) :1047-1050
[6]   KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold [J].
Aramaki, Takuya ;
Blanc-Mathieu, Romain ;
Endo, Hisashi ;
Ohkubo, Koichi ;
Kanehisa, Minoru ;
Goto, Susumu ;
Ogata, Hiroyuki .
BIOINFORMATICS, 2020, 36 (07) :2251-2252
[7]   PHASTER: a better, faster version of the PHAST phage search tool [J].
Arndt, David ;
Grant, Jason R. ;
Marcu, Ana ;
Sajed, Tanvir ;
Pon, Allison ;
Liang, Yongjie ;
Wishart, David S. .
NUCLEIC ACIDS RESEARCH, 2016, 44 (W1) :W16-W21
[8]   METHANOGENS - RE-EVALUATION OF A UNIQUE BIOLOGICAL GROUP [J].
BALCH, WE ;
FOX, GE ;
MAGRUM, LJ ;
WOESE, CR ;
WOLFE, RS .
MICROBIOLOGICAL REVIEWS, 1979, 43 (02) :260-296
[9]   SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing [J].
Bankevich, Anton ;
Nurk, Sergey ;
Antipov, Dmitry ;
Gurevich, Alexey A. ;
Dvorkin, Mikhail ;
Kulikov, Alexander S. ;
Lesin, Valery M. ;
Nikolenko, Sergey I. ;
Son Pham ;
Prjibelski, Andrey D. ;
Pyshkin, Alexey V. ;
Sirotkin, Alexander V. ;
Vyahhi, Nikolay ;
Tesler, Glenn ;
Alekseyev, Max A. ;
Pevzner, Pavel A. .
JOURNAL OF COMPUTATIONAL BIOLOGY, 2012, 19 (05) :455-477
[10]   Simulating metagenomic stable isotope probing datasets with MetaSIPSim [J].
Barnett, Samuel E. ;
Buckley, Daniel H. .
BMC BIOINFORMATICS, 2020, 21 (01)