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Correlation-Based Network Analysis of Metabolite and Enzyme Profiles Reveals a Role of Citrate Biosynthesis in Modulating N and C Metabolism in Zea mays

Overview of attention for article published in Frontiers in Plant Science, July 2016
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Title
Correlation-Based Network Analysis of Metabolite and Enzyme Profiles Reveals a Role of Citrate Biosynthesis in Modulating N and C Metabolism in Zea mays
Published in
Frontiers in Plant Science, July 2016
DOI 10.3389/fpls.2016.01022
Pubmed ID
Authors

David Toubiana, Wentao Xue, Nengyi Zhang, Karl Kremling, Amit Gur, Shai Pilosof, Yves Gibon, Mark Stitt, Edward S. Buckler, Alisdair R. Fernie, Aaron Fait

Abstract

To investigate the natural variability of leaf metabolism and enzymatic activity in a maize inbred population, statistical and network analyses were employed on metabolite and enzyme profiles. The test of coefficient of variation showed that sugars and amino acids displayed opposite trends in their variance within the population, consistently with their related enzymes. The overall higher CV values for metabolites as compared to the tested enzymes are indicative for their greater phenotypic plasticity. H(2) tests revealed galactinol (1) and asparagine (0.91) as the highest scorers among metabolites and nitrate reductase (0.73), NAD-glutamate dehydrogenase (0.52), and phosphoglucomutase (0.51) among enzymes. The overall low H(2) scores for metabolites and enzymes are suggestive for a great environmental impact or gene-environment interaction. Correlation-based network generation followed by community detection analysis, partitioned the network into three main communities and one dyad, (i) reflecting the different levels of phenotypic plasticity of the two molecular classes as observed for the CV values and (ii) highlighting the concerted changes between classes of chemically related metabolites. Community 1 is composed mainly of enzymes and specialized metabolites, community 2' is enriched in N-containing compounds and phosphorylated-intermediates. The third community contains mainly organic acids and sugars. Cross-community linkages are supported by aspartate, by the photorespiration amino acids glycine and serine, by the metabolically related GABA and putrescine, and by citrate. The latter displayed the strongest node-betweenness value (185.25) of all nodes highlighting its fundamental structural role in the connectivity of the network by linking between different communities and to the also strongly connected enzyme aldolase.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Researcher 7 16%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 3 7%
Other 6 14%
Unknown 13 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 42%
Biochemistry, Genetics and Molecular Biology 7 16%
Environmental Science 1 2%
Unspecified 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 15 35%
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 28 July 2016.
All research outputs
#20,336,031
of 22,881,154 outputs
Outputs from Frontiers in Plant Science
#16,162
of 20,270 outputs
Outputs of similar age
#308,423
of 354,423 outputs
Outputs of similar age from Frontiers in Plant Science
#406
of 517 outputs
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