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Quantifying spatial heterogeneity of chlorophyll fluorescence during plant growth and in response to water stress

Overview of attention for article published in Plant Methods, March 2015
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Title
Quantifying spatial heterogeneity of chlorophyll fluorescence during plant growth and in response to water stress
Published in
Plant Methods, March 2015
DOI 10.1186/s13007-015-0067-5
Pubmed ID
Authors

Justine Bresson, François Vasseur, Myriam Dauzat, Garance Koch, Christine Granier, Denis Vile

Abstract

Effects of abiotic and biotic stresses on plant photosynthetic performance lead to fitness and yield decrease. The maximum quantum efficiency of photosystem II (F v/F m) is a parameter of chlorophyll fluorescence (ChlF) classically used to track changes in photosynthetic performance. Despite recent technical and methodological advances in ChlF imaging, the spatio-temporal heterogeneity of F v/F m still awaits for standardized and accurate quantification. We developed a method to quantify the dynamics of spatial heterogeneity of photosynthetic efficiency through the distribution-based analysis of F v/F m values. The method was applied to Arabidopsis thaliana grown under well-watered and severe water deficit (survival rate of 40%). First, whole-plant F v/F m shifted from unimodal to bimodal distributions during plant development despite a constant mean F v/F m under well-watered conditions. The establishment of a bimodal distribution of F v/F m reflects the occurrence of two types of leaf regions with contrasted photosynthetic efficiency. The distance between the two modes (called S) quantified the whole-plant photosynthetic heterogeneity. The weighted contribution of the most efficient/healthiest leaf regions to whole-plant performance (called W max) quantified the spatial efficiency of a photosynthetically heterogeneous plant. Plant survival to water deficit was associated to high S values, as well as with strong and fast recovery of W max following soil rewatering. Hence, during stress surviving plants had higher, but more efficient photosynthetic heterogeneity compared to perishing plants. Importantly, S allowed the discrimination between surviving and perishing plants four days earlier than the mean F v/F m. A sensitivity analysis from simulated dynamics of F v/F m showed that parameters indicative of plant tolerance and/or stress intensity caused identifiable changes in S and W max. Finally, an independent comparison of six Arabidopsis accessions grown under well-watered conditions indicated that S and W max are related to the genetic variability of growth. The distribution-based analysis of ChlF provides an efficient tool for quantifying photosynthetic heterogeneity and performance. S and W max are good indicators to estimate plant survival under water stress. Our results suggest that the dynamics of photosynthetic heterogeneity are key components of plant growth and tolerance to stress.

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The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
France 1 <1%
Belgium 1 <1%
Brazil 1 <1%
Unknown 112 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 23 20%
Student > Master 17 15%
Student > Bachelor 8 7%
Lecturer 4 3%
Other 15 13%
Unknown 21 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 47%
Biochemistry, Genetics and Molecular Biology 10 9%
Environmental Science 7 6%
Engineering 4 3%
Earth and Planetary Sciences 3 3%
Other 5 4%
Unknown 33 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 April 2015.
All research outputs
#15,329,087
of 22,799,071 outputs
Outputs from Plant Methods
#827
of 1,080 outputs
Outputs of similar age
#157,071
of 263,456 outputs
Outputs of similar age from Plant Methods
#12
of 17 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,080 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 16th percentile – i.e., 16% 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 263,456 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.