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An Analysis of Thaumarchaeota Populations from the Northern Gulf of Mexico

Overview of attention for article published in Frontiers in Microbiology, January 2013
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Title
An Analysis of Thaumarchaeota Populations from the Northern Gulf of Mexico
Published in
Frontiers in Microbiology, January 2013
DOI 10.3389/fmicb.2013.00072
Pubmed ID
Authors

Bradley B. Tolar, Gary M. King, James T. Hollibaugh

Abstract

We sampled Thaumarchaeota populations in the northern Gulf of Mexico, including shelf waters under the Mississippi River outflow plume that are subject to recurrent hypoxia. Data from this study allowed us to: (1) test the hypothesis that Thaumarchaeota would be abundant in this region; (2) assess phylogenetic composition of these populations for comparison with other regions; (3) compare the efficacy of quantitative PCR (qPCR) based on primers for 16S rRNA genes (rrs) with primers for genes in the ammonia oxidation (amoA) and carbon fixation (accA, hcd) pathways; (4) compare distributions obtained by qPCR with the relative abundance of Thaumarchaeota rrs in pyrosequenced libraries; (5) compare Thaumarchaeota distributions with environmental variables to help us elucidate the factors responsible for the distributions; (6) compare the distribution of Thaumarchaeota with Nitrite-Oxidizing Bacteria (NOB) to gain insight into the coupling between ammonia and nitrite oxidation. We found up to 10(8) copies L(-1) of Thaumarchaeota rrs in our samples (up to 40% of prokaryotes) by qPCR, with maximum abundance in slope waters at 200-800 m. Thaumarchaeota rrs were also abundant in pyrosequenced libraries and their relative abundance correlated well with values determined by qPCR (r (2) = 0.82). Thaumarchaeota populations were strongly stratified by depth. Canonical correspondence analysis using a suite of environmental variables explained 92% of the variance in qPCR-estimated gene abundances. Thaumarchaeota rrs abundance was correlated with salinity and depth, while accA abundance correlated with fluorescence and pH. Correlations of Archaeal amoA abundance with environmental variables were primer-dependent, suggesting differential responses of sub-populations to environmental variables. Bacterial amoA was at the limit of qPCR detection in most samples. NOB and Euryarchaeota rrs were found in the pyrosequenced libraries; NOB distribution was correlated with that of Thaumarchaeota (r (2) = 0.49).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Germany 1 <1%
Canada 1 <1%
Unknown 101 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 29%
Student > Master 20 19%
Researcher 19 18%
Student > Bachelor 8 8%
Student > Postgraduate 4 4%
Other 12 11%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 33%
Environmental Science 19 18%
Earth and Planetary Sciences 9 9%
Biochemistry, Genetics and Molecular Biology 8 8%
Immunology and Microbiology 5 5%
Other 5 5%
Unknown 24 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 April 2013.
All research outputs
#18,335,133
of 22,705,019 outputs
Outputs from Frontiers in Microbiology
#19,072
of 24,519 outputs
Outputs of similar age
#218,006
of 280,712 outputs
Outputs of similar age from Frontiers in Microbiology
#240
of 407 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,519 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.