In Silico Expression Analysis.

Methods Mol Biol

Julius Kühn-Institut, Federal Research Centre for Cultivated Plants, Institute for Breeding Research on Agricultural Crops, Erwin-Baur-Str. 27, 06484, Quedlinburg, Germany.

Published: January 2018

Information on the specificity of cis-sequences enables the design of functional synthetic plant promoters that are responsive to specific stresses. Potential cis-sequences may be experimentally tested, however, correlation of genomic sequence with gene expression data enables an in silico expression analysis approach to bioinformatically assess the stress specificity of candidate cis-sequences prior to experimental verification. The present chapter demonstrates an example for the in silico validation of a potential cis-regulatory sequence responsive to cold stress. The described online tool can be applied for the bioinformatic assessment of cis-sequences responsive to most abiotic and biotic stresses of plants. Furthermore, a method is presented based on a reverted in silico expression analysis approach that predicts highly specific potentially functional cis-regulatory elements for a given stress.

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http://dx.doi.org/10.1007/978-1-4939-6396-6_16DOI Listing

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