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Depth-specific fluctuations of gene expression and protein abundance modulate the photophysiology in the seagrass Posidonia oceanica

Overview of attention for article published in Scientific Reports, February 2017
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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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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16 X users

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83 Mendeley
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Title
Depth-specific fluctuations of gene expression and protein abundance modulate the photophysiology in the seagrass Posidonia oceanica
Published in
Scientific Reports, February 2017
DOI 10.1038/srep42890
Pubmed ID
Authors

Gabriele Procaccini, Miriam Ruocco, Lázaro Marín-Guirao, Emanuela Dattolo, Christophe Brunet, Daniela D’Esposito, Chiara Lauritano, Silvia Mazzuca, Ilia Anna Serra, Letizia Bernardo, Amalia Piro, Sven Beer, Mats Björk, Martin Gullström, Pimchanok Buapet, Lina M. Rasmusson, Paulo Felisberto, Sylvie Gobert, John W. Runcie, João Silva, Irene Olivé, Monya M. Costa, Isabel Barrote, Rui Santos

Abstract

Here we present the results of a multiple organizational level analysis conceived to identify acclimative/adaptive strategies exhibited by the seagrass Posidonia oceanica to the daily fluctuations in the light environment, at contrasting depths. We assessed changes in photophysiological parameters, leaf respiration, pigments, and protein and mRNA expression levels. The results show that the diel oscillations of P. oceanica photophysiological and respiratory responses were related to transcripts and proteins expression of the genes involved in those processes and that there was a response asynchrony between shallow and deep plants probably caused by the strong differences in the light environment. The photochemical pathway of energy use was more effective in shallow plants due to higher light availability, but these plants needed more investment in photoprotection and photorepair, requiring higher translation and protein synthesis than deep plants. The genetic differentiation between deep and shallow stands suggests the existence of locally adapted genotypes to contrasting light environments. The depth-specific diel rhythms of photosynthetic and respiratory processes, from molecular to physiological levels, must be considered in the management and conservation of these key coastal ecosystems.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 18%
Student > Ph. D. Student 12 14%
Other 6 7%
Professor 6 7%
Student > Doctoral Student 5 6%
Other 15 18%
Unknown 24 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 33%
Environmental Science 10 12%
Biochemistry, Genetics and Molecular Biology 7 8%
Unspecified 3 4%
Engineering 2 2%
Other 3 4%
Unknown 31 37%
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 29 November 2017.
All research outputs
#3,930,555
of 23,504,445 outputs
Outputs from Scientific Reports
#31,379
of 127,029 outputs
Outputs of similar age
#69,425
of 310,603 outputs
Outputs of similar age from Scientific Reports
#1,210
of 4,494 outputs
Altmetric has tracked 23,504,445 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 127,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 75% 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 310,603 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 77% of its contemporaries.
We're also able to compare this research output to 4,494 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.