Growth and distribution patterns of Roseobacter/Rhodobacter, SAR11, and Bacteroidetes lineages in the Southern Ocean

Tada, Yuya; Makabe, Ryosuke; Kasamatsu-Takazawa, Nobue; Taniguchi, Akito; Hamasaki, Koji

doi:10.1007/s00300-013-1294-8

Cited by 21 publications

(29 citation statements)

References 69 publications

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“…First, the size of SAR11 cells, as measured by DNA or protein staining, is similar to that of the average bacterium in several oceans , Straza et al 2009, Tada et al 2013. Viruses were then found to attack P. ubique, the cultured representative of the SAR11 clade .…”

Section: The Kill-the-winner Hypothesismentioning

confidence: 99%

“…Some of these methods can be combined with FISH or rRNA sequencing to identify the active and inactive microbes. These approaches follow the uptake of the nonradioactive thymidine analogs bromodeoxyuridine (Tada et al 2010(Tada et al , 2013 and 5-ethynyl-2 -deoxyuridine or the methionine analog L-homopropargylglycine . Although estimates vary with the method and location (and many other properties), these studies also indicate that a large fraction of cells are inactive and potentially not growing in the oceans.…”

Section: Single-cell Approachesmentioning

confidence: 99%

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Growth Rates of Microbes in the Oceans

Kirchman

2016

Annu. Rev. Mar. Sci.

225

203

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A microbe's growth rate helps to set its ecological success and its contribution to food web dynamics and biogeochemical processes. Growth rates at the community level are constrained by biomass and trophic interactions among bacteria, phytoplankton, and their grazers. Phytoplankton growth rates are approximately 1 d(-1), whereas most heterotrophic bacteria grow slowly, close to 0.1 d(-1); only a few taxa can grow ten times as fast. Data from 16S rRNA and other approaches are used to speculate about the growth rate and the life history strategy of SAR11, the most abundant clade of heterotrophic bacteria in the oceans. These strategies are also explored using genomic data. Although the methods and data are imperfect, the available data can be used to set limits on growth rates and thus on the timescale for changes in the composition and structure of microbial communities.

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Section: The Kill-the-winner Hypothesismentioning

confidence: 99%

Section: Single-cell Approachesmentioning

confidence: 99%

Growth Rates of Microbes in the Oceans

Kirchman

2016

Annu. Rev. Mar. Sci.

225

203

View full text Add to dashboard Cite

show abstract

“…However, only few studies have contextualized abundance and substrate utilization of specific phylogenetic lineages in a quantitative manner. In the Indian sector of the Southern Ocean, bromodeoxyuridine incubations demonstrated Bacteroidetes and SAR11 as major contributors to the actively growing bacterioplankton, with Rhodobacteraceae having the highest proportion of active cells despite low abundance (Tada et al, 2013). Such highly active taxa may have important biogeochemical roles, even at low numbers (Elifantz et al, 2007;Vila-Costa et al, 2008;Bakenhus et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Distinct biogeographic patterns of bacterioplankton composition and single‐cell activity between the subtropics and Antarctica

Bakenhus¹,

Dlugosch²,

Giebel³

et al. 2018

Environmental Microbiology

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Bacterial biogeography and activity in the Southern Ocean are poorly understood to date. Here, we applied CARD-FISH to quantify bacterial community structure from the subtropics to Antarctica between 10°W and 10°E, covering four biogeographic provinces with distinct environmental properties. In addition, incorporation of radiolabeled glucose, amino acids and leucine via MAR-FISH served to quantify the contribution to substrate turnover by selected bacterial groups. SAR11, Bacteroidetes, Gammaproteobacteria and the Roseobacter group accounted for the majority of the bacterial community (52%-88% of DAPI-stained cells) but showed little distributional variation between provinces. In contrast, taxonomic subclades Polaribacter, NS5, NS2b (Bacteroidetes) as well as RCA (Roseobacter group) featured marked geographic variation, illustrated by NMDS and coefficients of variation. Roseobacter (specifically RCA) and Gammaproteobacteria constituted considerable fractions of cells incorporating glucose and amino acids respectively. Bacteroidetes had generally lower activities, but Polaribacter accounted for a major fraction of biomass production at one station near the Antarctic ice shelf. In conclusion, distributional patterns at finer taxonomic level and highest substrate turnover by less abundant taxa highlight the importance of taxonomic subclades in marine carbon fluxes, contributing to the understanding of functional bacterial biogeography in the Southern Ocean.

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“…The distinction in silicate's influence from that of the other macronutrients could indicate that the phytoplankton composition, that is, the relative contribution of diatoms (Kim et al ., ), affects bacterioplankton dynamics, and thereby indirectly the virioplankton. This influence is most likely mediated by variations in the quantity and/or bioavailability of organic matter generated by the primary producers, which is proposed to vary according to phytoplankton taxa (Moline and Prezelin, ), and may affect bacterioplankton biomass (Ducklow et al ., ) and composition (Tada et al ., ). Indeed, the bioavailability of photosynthate to secondary producers has been proposed as an alternative explanation for the decoupling of primary and secondary producers in Antarctic waters (Fiala and Delille, ).…”

Section: Discussionmentioning

confidence: 97%

Drivers of interannual variability in virioplankton abundance at the coastal western Antarctic peninsula and the potential effects of climate change

Evans

Brandsma

Pond

et al. 2017

Environmental Microbiology

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SummaryAn eight year time-series in the Western Antarctic Peninsula (WAP) with an approximately weekly sampling frequency was used to elucidate changes in virioplankton abundance and their drivers in this climatically-sensitive region. Virioplankton abundances at the coastal WAP show a pronounced seasonal cycle with interannual variability in the timing and magnitude of the summer maxima. Bacterioplankton abundance is the most influential driving factor of the virioplankton, and exhibit closely coupled dynamics. Sea ice cover and duration predetermine levels of phytoplankton stock and thus, influence virioplankton by dictating the substrates available to the bacterioplankton. However, variations in the composition of the phytoplankton community and particularly the prominence of Diatoms inferred from silicate drawdown, drive inter-annual differences in the magnitude of the virioplankton bloom; likely again mediated through changes in the bacterioplankton. Our findings suggest that future warming within the WAP will cause changes in sea ice that will influence viruses and their microbial hosts through changes in the timing, magnitude and composition of the phytoplankton bloom. Thus the flow of matter and energy through the viral shunt may be decreased with consequences for the Antarctic food web and element cycling.

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Growth and distribution patterns of Roseobacter/Rhodobacter, SAR11, and Bacteroidetes lineages in the Southern Ocean

Cited by 21 publications

References 69 publications

Growth Rates of Microbes in the Oceans

Growth Rates of Microbes in the Oceans

Distinct biogeographic patterns of bacterioplankton composition and single‐cell activity between the subtropics and Antarctica

Drivers of interannual variability in virioplankton abundance at the coastal western Antarctic peninsula and the potential effects of climate change

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