High-throughput SuperSAGE for gene expression analysis of Nicotiana tabacum-Rhizoctonia solani interaction.

Authors:
Roxana Portieles
Roxana Portieles
Center for Genetic Engineering and Biotechnology
Maria Elena Ochagavia
Maria Elena Ochagavia
Center for Genetic Engineering and Biotechnology
Eduardo Canales
Eduardo Canales
Center for Genetic Engineering and Biotechnology
New Delhi | India
Yussuan Silva
Yussuan Silva
Tobacco Research Institute
Minneapolis | United States
Ingrid Hernandez
Ingrid Hernandez
Center for Genetic Engineering and Biotechnology
New Delhi | India
Yunior Lopez
Yunior Lopez
Center for Genetic Engineering and Biotechnology
New Delhi | India
Mayra Rodriguez
Mayra Rodriguez
University of North Texas Health Science Center

BMC Res Notes 2017 Nov 21;10(1):603. Epub 2017 Nov 21.

Center for Genetic Engineering and Biotechnology, 10600, Havana, Cuba.

Objective: The ubiquitous soil pathogen Rhizoctonia solani causes serious diseases in different plant species. Despite the importance of this disease, little is known regarding the molecular basis of susceptibility. SuperSAGE technology and next-generation sequencing were used to generate transcript libraries during the compatible Nicotiana tabacum-R. solani interaction. Also, we used the post-transcriptional silencing to evaluate the function of a group of important genes.

Results: A total of 8960 and 8221 unique Tag sequences identified as differentially up- and down-regulated were obtained. Based on gene ontology classification, several annotated UniTags corresponded to defense response, metabolism and signal transduction. Analysis of the N. tabacum transcriptome during infection identified regulatory genes implicated in a number of hormone pathways. Silencing of an mRNA induced by salicylic acid reduced the susceptibility of N. tabacum to R. solani. We provide evidence that the salicylic acid pathway was involved in disease development. This is important for further development of disease management strategies caused by this pathogen.

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http://dx.doi.org/10.1186/s13104-017-2934-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697063PMC
November 2017
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