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Comparative metabolite profiling of drought stress in roots and leaves of seven Triticeae species

Overview of attention for article published in BMC Genomics, December 2017
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Citations

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Title
Comparative metabolite profiling of drought stress in roots and leaves of seven Triticeae species
Published in
BMC Genomics, December 2017
DOI 10.1186/s12864-017-4321-2
Pubmed ID
Authors

Naimat Ullah, Meral Yüce, Z. Neslihan Öztürk Gökçe, Hikmet Budak

Abstract

Drought is a lifestyle disease. Plant metabolomics has been exercised for understanding the fine-tuning of the potential pathways to surmount the adverse effects of drought stress. A broad spectrum of morphological and metabolic responses from seven Triticeae species including wild types with different drought tolerance/susceptibility level was investigated under control and water scarcity conditions. Significant morphological parameters measured were root length, surface area, average root diameter and overall root development. Principal Component Analysis, Partial Least-Squares-Discriminant Analysis and Hierarchical Cluster Analysis were applied to the metabolomic data obtained by Gas Chromatography-Mass Spectrometry technique in order to determine the important metabolites of the drought tolerance across seven different Triticeae species. The metabolites showing significant accumulation under the drought stress were considered as the key metabolites and correlated with potential biochemical pathways, enzymes or gene locations for a better understanding of the tolerance mechanisms. In all tested species, 45 significantly active metabolites with possible roles in drought stress were identified. Twenty-one metabolites out of forty-five including sugars, amino acids, organic acids and low molecular weight compounds increased in both leaf and root samples of TR39477, IG132864 and Bolal under the drought stress, contrasting to TTD-22, Tosunbey, Ligustica and Meyeri samples. Three metabolites including succinate, aspartate and trehalose were selected for further genome analysis due to their increased levels in TR39477, IG132864, and Bolal upon drought stress treatment as well as their significant role in energy producing biochemical pathways. These results demonstrated that the genotypes with high drought tolerance skills, especially wild emmer wheat, have a great potential to be a genetic model system for experiments aiming to validate metabolomics-genomics networks.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 22 24%
Student > Master 9 10%
Student > Bachelor 5 5%
Student > Doctoral Student 5 5%
Other 12 13%
Unknown 16 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 48%
Biochemistry, Genetics and Molecular Biology 15 16%
Engineering 3 3%
Chemical Engineering 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 4 4%
Unknown 23 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 May 2019.
All research outputs
#8,598,004
of 14,983,043 outputs
Outputs from BMC Genomics
#4,197
of 8,596 outputs
Outputs of similar age
#189,205
of 402,181 outputs
Outputs of similar age from BMC Genomics
#385
of 822 outputs
Altmetric has tracked 14,983,043 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,596 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 48th percentile – i.e., 48% 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 402,181 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 51% of its contemporaries.
We're also able to compare this research output to 822 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 50% of its contemporaries.