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How plants manage food reserves at night: quantitative models and open questions

Overview of attention for article published in Frontiers in Plant Science, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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4 X users
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5 Wikipedia pages

Citations

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34 Dimensions

Readers on

mendeley
125 Mendeley
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2 CiteULike
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Title
How plants manage food reserves at night: quantitative models and open questions
Published in
Frontiers in Plant Science, March 2015
DOI 10.3389/fpls.2015.00204
Pubmed ID
Authors

Antonio Scialdone, Martin Howard

Abstract

In order to cope with night-time darkness, plants during the day allocate part of their photosynthate for storage, often as starch. This stored reserve is then degraded at night to sustain metabolism and growth. However, night-time starch degradation must be tightly controlled, as over-rapid turnover results in premature depletion of starch before dawn, leading to starvation. Recent experiments in Arabidopsis have shown that starch degradation proceeds at a constant rate during the night and is set such that starch reserves are exhausted almost precisely at dawn. Intriguingly, this pattern is robust with the degradation rate being adjusted to compensate for unexpected changes in the time of darkness onset. While a fundamental role for the circadian clock is well-established, the underlying mechanisms controlling starch degradation remain poorly characterized. Here, we discuss recent quantitative models that have been proposed to explain how plants can compute the appropriate starch degradation rate, a process that requires an effective arithmetic division calculation. We review experimental confirmation of the models, and describe aspects that require further investigation. Overall, the process of night-time starch degradation necessitates a fundamental metabolic role for the circadian clock and, more generally, highlights how cells process information in order to optimally manage their resources.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 124 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 18%
Student > Master 23 18%
Student > Ph. D. Student 22 18%
Student > Bachelor 11 9%
Professor 4 3%
Other 16 13%
Unknown 26 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 40%
Biochemistry, Genetics and Molecular Biology 27 22%
Environmental Science 5 4%
Engineering 3 2%
Earth and Planetary Sciences 2 2%
Other 5 4%
Unknown 33 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 July 2024.
All research outputs
#5,719,178
of 26,482,830 outputs
Outputs from Frontiers in Plant Science
#3,088
of 25,310 outputs
Outputs of similar age
#64,820
of 279,851 outputs
Outputs of similar age from Frontiers in Plant Science
#26
of 256 outputs
Altmetric has tracked 26,482,830 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,310 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 279,851 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 76% of its contemporaries.
We're also able to compare this research output to 256 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.