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Shifting carbon flow from roots into associated microbial communities in response to elevated atmospheric CO2

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, June 2010
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532 Mendeley
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Article details
Title
Shifting carbon flow from roots into associated microbial communities in response to elevated atmospheric CO2
Published in
Proceedings of the National Academy of Sciences of the United States of America, June 2010
DOI 10.1073/pnas.0912421107
Pubmed ID
Authors
Abstract

Rising atmospheric CO(2) levels are predicted to have major consequences on carbon cycling and the functioning of terrestrial ecosystems. Increased photosynthetic activity is expected, especially for C-3 plants, thereby influencing vegetation dynamics; however, little is known about the path of fixed carbon into soil-borne communities and resulting feedbacks on ecosystem function. Here, we examine how arbuscular mycorrhizal fungi (AMF) act as a major conduit in the transfer of carbon between plants and soil and how elevated atmospheric CO(2) modulates the belowground translocation pathway of plant-fixed carbon. Shifts in active AMF species under elevated atmospheric CO(2) conditions are coupled to changes within active rhizosphere bacterial and fungal communities. Thus, as opposed to simply increasing the activity of soil-borne microbes through enhanced rhizodeposition, elevated atmospheric CO(2) clearly evokes the emergence of distinct opportunistic plant-associated microbial communities. Analyses involving RNA-based stable isotope probing, neutral/phosphate lipid fatty acids stable isotope probing, community fingerprinting, and real-time PCR allowed us to trace plant-fixed carbon to the affected soil-borne microorganisms. Based on our data, we present a conceptual model in which plant-assimilated carbon is rapidly transferred to AMF, followed by a slower release from AMF to the bacterial and fungal populations well-adapted to the prevailing (myco-)rhizosphere conditions. This model provides a general framework for reappraising carbon-flow paths in soils, facilitating predictions of future interactions between rising atmospheric CO(2) concentrations and terrestrial ecosystems.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 532 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 9 2%
Mexico 2 <1%
Japan 2 <1%
United Kingdom 2 <1%
Germany 2 <1%
Brazil 2 <1%
Australia 2 <1%
Estonia 1 <1%
Denmark 1 <1%
Other 2 <1%
Unknown 507 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 140 26%
Researcher 108 20%
Student > Master 64 12%
Student > Bachelor 31 6%
Student > Doctoral Student 25 5%
Other 79 15%
Unknown 85 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 251 47%
Environmental Science 95 18%
Earth and Planetary Sciences 25 5%
Biochemistry, Genetics and Molecular Biology 17 3%
Immunology and Microbiology 6 1%
Other 25 5%
Unknown 113 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 December 2025.
All research outputs
#12,358,651
of 34,410,315 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#83,744
of 119,005 outputs
Outputs of similar age
#61,701
of 152,204 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#562
of 771 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 119,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one is in the 13th percentile – i.e., 13% 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 152,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 771 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.