Traceability, reproducibility and wiki-exploration for "a-la-carte" reconstructions of genome-scale metabolic models

Type Article
Date 2018-05
Language English
Author(s) Aite Meaziane1, Chevallier Marie1, 2, Frioux Cleamence1, Trottier Camille1, 3, Got Jeanne1, Paz Cortes Maria4, 5, 6, Mendoza Sebastian N.4, 6, Carrier GregoryORCID7, Dameron Olivier1, Guillaudeux Nicolas1, Latorre Mauricio4, 6, 8, 9, Loira Nicolas4, 6, Markov Gabriel V.10, Maass Alejandro4, 6, Siegel Anne1
Affiliation(s) 1 : Univ Rennes, INRIA, CNRS, IRISA, Rennes, France.
2 : Univ Rennes, CNRS, ECOBIO, Rennes, France.
3 : Univ Nantes, CNRS, UMR ComBi 6004, Nantes, France.
4 : Univ Chile, Ctr Modelamiento Matemat, Santiago, Chile.
5 : Univ Adolfo Ibanez, Fac Ingn & Ciencias, Santiago, Chile.
6 : Univ Chile, Ctr Regulac Genoma Fondap 15090007, Santiago, Chile.
7 : IFREMER, Lab Physiol & Biotechnol Algues, Nantes, France.
8 : Univ OHiggins, Inst Ciencias Ingn, Rancagua, Chile.
9 : Univ Chile, Inst Nutr & Tecnol Alimentos, Santiago, Chile.
10 : Sorbonne Univ, CNRS, Stn Biol Roscoff, UMR 8227,Integrat Biol Marine Models, Roscoff, France.
Source Plos Computational Biology (1553-7358) (Public Library Science), 2018-05 , Vol. 14 , N. 5 , P. e1006146 (25p.)
DOI 10.1371/journal.pcbi.1006146
WOS© Times Cited 1

Genome-scale metabolic models have become the tool of choice for the global analysis of microorganism metabolism, and their reconstruction has attained high standards of quality and reliability. Improvements in this area have been accompanied by the development of some major platforms and databases, and an explosion of individual bioinformatics methods. Consequently, many recent model s result from "a la carte" pipelines, combining the use of platforms, individual tools and biological expertise to enhance the quality of the reconstruction. Although very useful, introducing heterogeneous tools, that hardly interact with each other, causes loss of traceability and reproducibility in the reconstruction process. This represents a real obstacle, especially when considering less studied species whose metabolic reconstruction can greatly benefit from the comparison to good quality models of related organisms. This work proposes an adaptable workspace, AuReMe, for sustainable reconstructions or improvements of genome-scale metabolic models involving personalized pipelines. At each step, relevant information related to the modifications brought to the model by a method is stored. This ensures that the process is reproducible and documented regardless of the combination of tools used. Additionally, the workspace establishes a way to browse metabolic models and their metadata through the automatic generation of ad-hoc local wikis dedicated to monitoring and facilitating the process of reconstruction. AuReMe supports exploration and semantic query based on RDF databases. We illustrate how this workspace allowed handling, in an integrated way, the metabolic reconstructions of non-model organisms such as an extremophile bacterium or eukaryote algae. Among relevant applications, the latter reconstruction led to putative evolutionary insights of a metabolic pathway.

Full Text
File Pages Size Access
Publisher's official version 25 5 MB Open access
Supplementary material. Additional results, methods and figures. 13 2 MB Open access
Top of the page

How to cite 

Aite Meaziane, Chevallier Marie, Frioux Cleamence, Trottier Camille, Got Jeanne, Paz Cortes Maria, Mendoza Sebastian N., Carrier Gregory, Dameron Olivier, Guillaudeux Nicolas, Latorre Mauricio, Loira Nicolas, Markov Gabriel V., Maass Alejandro, Siegel Anne (2018). Traceability, reproducibility and wiki-exploration for "a-la-carte" reconstructions of genome-scale metabolic models. Plos Computational Biology, 14(5), e1006146 (25p.). Publisher's official version : , Open Access version :