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Diurnal cycling of rhizosphere bacterial communities is associated with shifts in carbon metabolism

Overview of attention for article published in Microbiome, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

1 blog
21 tweeters


29 Dimensions

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123 Mendeley
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Diurnal cycling of rhizosphere bacterial communities is associated with shifts in carbon metabolism
Published in
Microbiome, June 2017
DOI 10.1186/s40168-017-0287-1
Pubmed ID

Christopher Staley, Abigail P. Ferrieri, Malak M. Tfaily, Yaya Cui, Rosalie K. Chu, Ping Wang, Jared B. Shaw, Charles K. Ansong, Heather Brewer, Angela D. Norbeck, Meng Markillie, Fernanda do Amaral, Thalita Tuleski, Tomás Pellizzaro, Beverly Agtuca, Richard Ferrieri, Susannah G. Tringe, Ljiljana Paša-Tolić, Gary Stacey, Michael J. Sadowsky


The circadian clock regulates plant metabolic functions and is an important component in plant health and productivity. Rhizosphere bacteria play critical roles in plant growth, health, and development and are shaped primarily by soil communities. Using Illumina next-generation sequencing and high-resolution mass spectrometry, we characterized bacterial communities of wild-type (Col-0) Arabidopsis thaliana and an acyclic line (OX34) ectopically expressing the circadian clock-associated cca1 transcription factor, relative to a soil control, to determine how cycling dynamics affected the microbial community. Microbial communities associated with Brachypodium distachyon (BD21) were also evaluated. Significantly different bacterial community structures (P = 0.031) were observed in the rhizosphere of wild-type plants between light and dark cycle samples. Furthermore, 13% of the community showed cycling, with abundances of several families, including Burkholderiaceae, Rhodospirillaceae, Planctomycetaceae, and Gaiellaceae, exhibiting fluctuation in abundances relative to the light cycle. However, limited-to-no cycling was observed in the acyclic CCAox34 line or in soil controls. Significant cycling was also observed, to a lesser extent, in Brachypodium. Functional gene inference revealed that genes involved in carbohydrate metabolism were likely more abundant in near-dawn, dark samples. Additionally, the composition of organic matter in the rhizosphere showed a significant variation between dark and light cycles. The results of this study suggest that the rhizosphere bacterial community is regulated, to some extent, by the circadian clock and is likely influenced by, and exerts influences, on plant metabolism and productivity. The timing of bacterial cycling in relation to that of Arabidopsis further suggests that diurnal dynamics influence plant-microbe carbon metabolism and exchange. Equally important, our results suggest that previous studies done without relevance to time of day may need to be reevaluated with regard to the impact of diurnal cycles on the rhizosphere microbial community.

Twitter Demographics

The data shown below were collected from the profiles of 21 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 122 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 26%
Researcher 20 16%
Student > Master 16 13%
Student > Doctoral Student 8 7%
Other 8 7%
Other 20 16%
Unknown 19 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 46%
Biochemistry, Genetics and Molecular Biology 15 12%
Environmental Science 15 12%
Immunology and Microbiology 3 2%
Computer Science 2 2%
Other 7 6%
Unknown 24 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 17 January 2018.
All research outputs
of 19,407,560 outputs
Outputs from Microbiome
of 1,173 outputs
Outputs of similar age
of 280,498 outputs
Outputs of similar age from Microbiome
of 1 outputs
Altmetric has tracked 19,407,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.2. This one has gotten more attention than average, scoring higher than 53% 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 280,498 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 88% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them