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Connecting the dots: linking nitrogen cycle gene expression to nitrogen fluxes in marine sediment mesocosms

Overview of attention for article published in Frontiers in Microbiology, August 2014
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
Connecting the dots: linking nitrogen cycle gene expression to nitrogen fluxes in marine sediment mesocosms
Published in
Frontiers in Microbiology, August 2014
DOI 10.3389/fmicb.2014.00429
Pubmed ID
Authors

Jennifer L. Bowen, Andrew R. Babbin, Patrick J. Kearns, Bess B. Ward

Abstract

Connecting molecular information directly to microbial transformation rates remains a challenge, despite the availability of molecular methods to investigate microbial biogeochemistry. By combining information on gene abundance and expression for key genes with quantitative modeling of nitrogen fluxes, we can begin to understand the scales on which genetic signals vary and how they relate to key functions. We used quantitative PCR of DNA and cDNA, along with biogeochemical modeling to assess how the abundance and expression of microbes responsible for two steps in the nitrogen cycle changed over time in estuarine sediment mesocosms. Sediments and water were collected from coastal Massachusetts and maintained in replicated 20 L mesocosms for 45 days. Concentrations of all major inorganic nitrogen species were measured daily and used to derive rates of nitrification and denitrification from a Monte Carlo-based non-negative least-squares analysis of finite difference equations. The mesocosms followed a classic regeneration sequence in which ammonium released from the decomposition of organic matter was subsequently oxidized to nitrite and then further to nitrate, some portion of which was ultimately denitrified. Normalized abundances of ammonia oxidizing archaeal ammonia monoxoygenase (amoA) transcripts closely tracked rates of ammonia oxidation throughout the experiment. No such relationship, however, was evident between denitrification rates and the normalized abundance of nitrite reductase (nirS and nirK) transcripts. These findings underscore the complexity of directly linking the structure of the microbial community to rates of biogeochemical processes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 1%
Netherlands 1 <1%
Australia 1 <1%
Canada 1 <1%
Estonia 1 <1%
Spain 1 <1%
Japan 1 <1%
Unknown 140 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 26%
Researcher 30 20%
Student > Master 24 16%
Other 7 5%
Student > Bachelor 7 5%
Other 22 15%
Unknown 19 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 32%
Environmental Science 33 22%
Earth and Planetary Sciences 20 14%
Biochemistry, Genetics and Molecular Biology 8 5%
Chemistry 3 2%
Other 7 5%
Unknown 29 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 September 2014.
All research outputs
#6,271,820
of 23,339,727 outputs
Outputs from Frontiers in Microbiology
#6,082
of 25,670 outputs
Outputs of similar age
#59,429
of 237,223 outputs
Outputs of similar age from Frontiers in Microbiology
#49
of 163 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 25,670 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 76% of its peers.
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 237,223 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.