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Relationships between drought, heat and air humidity responses revealed by transcriptome-metabolome co-analysis

Overview of attention for article published in BMC Plant Biology, July 2017
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Title
Relationships between drought, heat and air humidity responses revealed by transcriptome-metabolome co-analysis
Published in
BMC Plant Biology, July 2017
DOI 10.1186/s12870-017-1062-y
Pubmed ID
Authors

Elisabeth Georgii, Ming Jin, Jin Zhao, Basem Kanawati, Philippe Schmitt-Kopplin, Andreas Albert, J. Barbro Winkler, Anton R. Schäffner

Abstract

Elevated temperature and reduced water availability are frequently linked abiotic stresses that may provoke distinct as well as interacting molecular responses. Based on non-targeted metabolomic and transcriptomic measurements from Arabidopsis rosettes, this study aims at a systematic elucidation of relevant components in different drought and heat scenarios as well as relationships between molecular players of stress response. In combined drought-heat stress, the majority of single stress responses are maintained. However, interaction effects between drought and heat can be discovered as well; these relate to protein folding, flavonoid biosynthesis and growth inhibition, which are enhanced, reduced or specifically induced in combined stress, respectively. Heat stress experiments with and without supplementation of air humidity for maintenance of vapor pressure deficit suggest that decreased relative air humidity due to elevated temperature is an important component of heat stress, specifically being responsible for hormone-related responses to water deprivation. Remarkably, this "dry air effect" is the primary trigger of the metabolomic response to heat. In contrast, the transcriptomic response has a substantial temperature component exceeding the dry air component and including up-regulation of many transcription factors and protein folding-related genes. Data level integration independent of prior knowledge on pathways and condition labels reveals shared drought and heat responses between transcriptome and metabolome, biomarker candidates and co-regulation between genes and metabolic compounds, suggesting novel players in abiotic stress response pathways. Drought and heat stress interact both at transcript and at metabolite response level. A comprehensive, non-targeted view of this interaction as well as non-interacting processes is important to be taken into account when improving tolerance to abiotic stresses in breeding programs. Transcriptome and metabolome may respond with different extent to individual stress components. Their contrasting behavior in response to temperature stress highlights that the protein folding machinery effectively shields the metabolism from stress. Disentangling the complex relationships between transcriptome and metabolome in response to stress is an enormous challenge. As demonstrated by case studies with supporting evidence from additional data, the large dataset provided in this study may assist in determining linked genetic and metabolic features as candidates for future mechanistic analyses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 20%
Researcher 19 18%
Student > Bachelor 14 13%
Student > Master 9 9%
Student > Doctoral Student 8 8%
Other 10 10%
Unknown 24 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 36%
Biochemistry, Genetics and Molecular Biology 14 13%
Chemistry 4 4%
Engineering 4 4%
Environmental Science 3 3%
Other 9 9%
Unknown 33 31%
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 12 July 2017.
All research outputs
#20,434,884
of 22,988,380 outputs
Outputs from BMC Plant Biology
#2,545
of 3,280 outputs
Outputs of similar age
#272,511
of 312,577 outputs
Outputs of similar age from BMC Plant Biology
#29
of 39 outputs
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