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Rhizosphere bacterial carbon turnover is higher in nucleic acids than membrane lipids: implications for understanding soil carbon cycling

Overview of attention for article published in Frontiers in Microbiology, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Rhizosphere bacterial carbon turnover is higher in nucleic acids than membrane lipids: implications for understanding soil carbon cycling
Published in
Frontiers in Microbiology, April 2015
DOI 10.3389/fmicb.2015.00268
Pubmed ID
Authors

Ashish A. Malik, Helena Dannert, Robert I. Griffiths, Bruce C. Thomson, Gerd Gleixner

Abstract

Using a pulse chase (13)CO2 plant labeling experiment we compared the flow of plant carbon into macromolecular fractions of rhizosphere soil microorganisms. Time dependent (13)C dilution patterns in microbial cellular fractions were used to calculate their turnover time. The turnover times of microbial biomolecules were found to vary: microbial RNA (19 h) and DNA (30 h) turned over fastest followed by chloroform fumigation extraction-derived soluble cell lysis products (14 days), while phospholipid fatty acids (PLFAs) had the slowest turnover (42 days). PLFA/NLFA (13)C analyses suggest that both mutualistic arbuscular mycorrhizal and saprophytic fungi are dominant in initial plant carbon uptake. In contrast, high initial (13)C enrichment in RNA hints at bacterial importance in initial C uptake due to the dominance of bacterial derived RNA in total extracts of soil RNA. To explain this discrepancy, we observed low renewal rate of bacterial lipids, which may therefore bias lipid fatty acid based interpretations of the role of bacteria in soil microbial food webs. Based on our findings, we question current assumptions regarding plant-microbe carbon flux and suggest that the rhizosphere bacterial contribution to plant assimilate uptake could be higher. This highlights the need for more detailed quantitative investigations with nucleic acid biomarkers to further validate these findings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Chile 1 <1%
Argentina 1 <1%
Unknown 108 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 27%
Researcher 28 25%
Student > Master 14 12%
Student > Doctoral Student 8 7%
Student > Postgraduate 6 5%
Other 13 11%
Unknown 14 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 46%
Environmental Science 25 22%
Biochemistry, Genetics and Molecular Biology 4 4%
Earth and Planetary Sciences 3 3%
Immunology and Microbiology 1 <1%
Other 3 3%
Unknown 25 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 April 2023.
All research outputs
#4,578,749
of 25,654,566 outputs
Outputs from Frontiers in Microbiology
#4,195
of 29,652 outputs
Outputs of similar age
#53,809
of 280,589 outputs
Outputs of similar age from Frontiers in Microbiology
#53
of 347 outputs
Altmetric has tracked 25,654,566 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,652 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 85% 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 280,589 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 347 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.