Evidence map›Paper›PMID 21841023›Full record

ArticleApplied and environmental microbiology2011

Molecular enumeration of an ecologically important cyanophage in a Laurentian Great Lake.

Audrey R Matteson, Star N Loar, Richard A Bourbonniere, Steven W Wilhelm

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Audrey R MattesonDepartment of Microbiology, The University of Tennessee, Knoxville, TN 37996-0845, USA.
Star N Loar
Richard A Bourbonniere
Steven W Wilhelm

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable research has shown that cyanobacteria and the viruses that infect them (cyanophage) are pervasive and diverse in global lake populations. Few studies have seasonally analyzed freshwater systems, and little is known about the bacterial and viral communities that coexist during the harsh winters of the Laurentian Great Lakes. Here, we employed quantitative PCR to estimate the abundance of cyanomyoviruses in this system, using the portal vertex g20 gene as a proxy for cyanophage abundance and to determine the potential ecological relevance of these viruses. Cyanomyoviruses were abundant in both the summer and the winter observations, with up to 3.1 × 10(6) copies of g20 genes ml(-1) found at several stations and depths in both seasons, representing up to 4.6% of the total virus community. Lake Erie was productive during both our observations, with high chlorophyll a concentrations in the summer (up to 10.3 μg liter(-1)) and winter (up to 5.2 μg liter(-1)). Both bacterial and viral abundances were significantly higher during the summer than during the winter (P < 0.05). Summer bacterial abundances ranged from 3.3 × 10(6) to 1.6 × 10(7) ml(-1) while winter abundances ranged between ∼3.4 × 10(5) and 1.2 × 10(6) ml(-1). Total virus abundances were high during both months, with summer abundances significantly higher at most stations, ranging from 6.5 × 10(7) to 8.8 × 10(7) ml(-1), and with winter abundances ranging from 3.4 × 10(7) to 6.6 × 10(7) ml(-1). This work confirms that putative cyanomyoviruses are ubiquitous in both summer and winter months in this large freshwater lake system and that they are an abundant component of the virioplankton group.

Indexed as

Viral LoadBacterial LoadBacteriophagesCyanobacteriaDNA, ViralEcosystemFresh WaterGreat Lakes RegionReal-Time Polymerase Chain ReactionSeasonsViral ProteinsVirologyDNA, ViralViral Proteins

Identifiers

PMID21841023
PMCPMC3187120

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.