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The dehydration stress of couch grass is associated with its lipid metabolism, the induction of transporters and the re-programming of development coordinated by ABA

Overview of attention for article published in BMC Genomics, May 2018
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Title
The dehydration stress of couch grass is associated with its lipid metabolism, the induction of transporters and the re-programming of development coordinated by ABA
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4700-3
Pubmed ID
Authors

Anna Janská, Pavel Svoboda, Vojtěch Spiwok, Ladislav Kučera, Jaroslava Ovesná

Abstract

The wild relatives of crop species represent a potentially valuable source of novel genetic variation, particularly in the context of improving the crop's level of tolerance to abiotic stress. The mechanistic basis of these tolerances remains largely unexplored. Here, the focus was to characterize the transcriptomic response of the nodes (meristematic tissue) of couch grass (a relative of barley) to dehydration stress, and to compare it to that of the barley crown formed by both a drought tolerant and a drought sensitive barley cultivar. Many of the genes up-regulated in the nodes by the stress were homologs of genes known to be mediated by abscisic acid during the response to drought, or were linked to either development or lipid metabolism. Transporters also featured prominently, as did genes acting on root architecture. The resilience of the couch grass node arise from both their capacity to develop an altered, more effective root architecture, but also from their formation of a lipid barrier on their outer surface and their ability to modify both their lipid metabolism and transporter activity when challenged by dehydration stress. Our analysis revealed the nature of dehydration stress response in couch grass. We suggested the tolerance is associated with lipid metabolism, the induction of transporters and the re-programming of development coordinated by ABA. We also proved the applicability of barley microarray for couch grass stress-response analysis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Master 3 15%
Student > Bachelor 3 15%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 5 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 50%
Environmental Science 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Chemical Engineering 1 5%
Unknown 5 25%
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 04 May 2018.
All research outputs
#18,606,163
of 23,047,237 outputs
Outputs from BMC Genomics
#8,228
of 10,697 outputs
Outputs of similar age
#253,054
of 326,328 outputs
Outputs of similar age from BMC Genomics
#181
of 243 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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