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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Topological assessment of metabolic networks reveals evolutionary information

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Author(s):
Machicao, Jeaneth [1] ; Filho, Humberto A. [1] ; Lahr, Daniel J. G. [2] ; Buckeridge, Marcos [2] ; Bruno, Odemir M. [1]
Total Authors: 5
Affiliation:
[1] Univ Sao Paulo, Sao Carlos Inst Phys, POB 369, BR-13560970 Sao Carlos, SP - Brazil
[2] Univ Sao Paulo, Inst Biosci, Sao Paulo, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: SCIENTIFIC REPORTS; v. 8, OCT 29 2018.
Web of Science Citations: 2
Abstract

Evolutionary information was inferred from the topology of metabolic networks corresponding to 17 plant species belonging to major plant lineages Chlorophytes, Bryophytes, Lycophytes and Angiosperms. The plant metabolic networks were built using the substrate-product network modeling based on the metabolic reactions available on the PlantCyc database (version 9.5), from which their local topological properties such as degree, in-degree, out-degree, clustering coefficient, hub-score, authority-score, local efficiency, betweenness and eigencentrality were measured. The topological measurements corresponding to each metabolite within the networks were considered as a set of metabolic characters to compound a feature vector representing each plant. Our results revealed that some local topological characters are able to discern among plant kinships, since similar phylogenies were found when comparing dendrograms obtained by topological metrics to the one obtained by DNA sequences of chloroplast genes. Furthermore, we also found that even a smaller number of metabolic characters is able to separate among major clades with high bootstrap support (BS > 95), while for some suborders a bigger content has been required. (AU)

FAPESP's process: 13/04585-3 - Deciphering the major trends of molecular and morphological evolution in the Amoebozoa
Grantee:Daniel José Galafasse Lahr
Support type: Research Grants - Young Investigators Grants
FAPESP's process: 14/08026-1 - Artificial vision and pattern recognition applied to vegetal plasticity
Grantee:Odemir Martinez Bruno
Support type: Regular Research Grants