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Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.)

Overview of attention for article published in Plant Molecular Biology, June 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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1 X user
wikipedia
1 Wikipedia page

Citations

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54 Dimensions

Readers on

mendeley
89 Mendeley
Title
Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.)
Published in
Plant Molecular Biology, June 2017
DOI 10.1007/s11103-017-0625-5
Pubmed ID
Authors

Sebastián Moschen, Julio A. Di Rienzo, Janet Higgins, Takayuki Tohge, Mutsumi Watanabe, Sergio González, Máximo Rivarola, Francisco García-García, Joaquin Dopazo, H. Esteban Hopp, Rainer Hoefgen, Alisdair R. Fernie, Norma Paniego, Paula Fernández, Ruth A. Heinz

Abstract

By integration of transcriptional and metabolic profiles we identified pathways and hubs transcription factors regulated during drought conditions in sunflower, useful for applications in molecular and/or biotechnological breeding. Drought is one of the most important environmental stresses that effects crop productivity in many agricultural regions. Sunflower is tolerant to drought conditions but the mechanisms involved in this tolerance remain unclear at the molecular level. The aim of this study was to characterize and integrate transcriptional and metabolic pathways related to drought stress in sunflower plants, by using a system biology approach. Our results showed a delay in plant senescence with an increase in the expression level of photosynthesis related genes as well as higher levels of sugars, osmoprotectant amino acids and ionic nutrients under drought conditions. In addition, we identified transcription factors that were upregulated during drought conditions and that may act as hubs in the transcriptional network. Many of these transcription factors belong to families implicated in the drought response in model species. The integration of transcriptomic and metabolomic data in this study, together with physiological measurements, has improved our understanding of the biological responses during droughts and contributes to elucidate the molecular mechanisms involved under this environmental condition. These findings will provide useful biotechnological tools to improve stress tolerance while maintaining crop yield under restricted water availability.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 26%
Student > Ph. D. Student 15 17%
Student > Doctoral Student 12 13%
Other 4 4%
Student > Postgraduate 4 4%
Other 12 13%
Unknown 19 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 52%
Biochemistry, Genetics and Molecular Biology 18 20%
Engineering 2 2%
Computer Science 1 1%
Nursing and Health Professions 1 1%
Other 0 0%
Unknown 21 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 April 2020.
All research outputs
#7,285,335
of 22,982,639 outputs
Outputs from Plant Molecular Biology
#960
of 2,846 outputs
Outputs of similar age
#116,374
of 316,843 outputs
Outputs of similar age from Plant Molecular Biology
#3
of 20 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,846 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 65% 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 316,843 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.