Reconstruction of a GRN model of salt stress response in arabidopsis using genetic algorithms

Gonzalo A. Ruz, Tania Timmermann, Eric Goles

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

12 Citas (Scopus)

Resumen

Salinity is one of the main problems in agriculture, negatively influencing the survival, biomass production, and yield of food crops. Exposure to high salinity is connected with ionic stress due to accumulation of sodium ions, osmotic stress, and reactive oxygen species production. To develop crop plants with enhanced tolerance of saline stress, a basic understanding of physiological, biochemical and gene regulatory networks (GRN) is essential. In this paper, an approach to study the saline stress response and tolerance of plants through the GRN involved in this process is proposed. In particular, we reconstruct the GRN of Ara-bidopsis thaliana saline stress response using genetic algorithms and a Boolean network model. The proposed computational intelligence approach was able to successfully infer 1000 threshold Boolean networks that contained the desired Boolean trajectory. The inferred networks were used to build a consensus network, which was useful to identify the regulations or interactions among the genes that were more plausible.

Idioma originalInglés
Título de la publicación alojada2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781479969265
DOI
EstadoPublicada - 16 oct. 2015
EventoIEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015 - Niagara Falls, Canadá
Duración: 12 ago. 201515 ago. 2015

Serie de la publicación

Nombre2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015

Conferencia

ConferenciaIEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015
País/TerritorioCanadá
CiudadNiagara Falls
Período12/08/1515/08/15

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