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      Dataset of suppression subtractive hybridization libraries of banana-biostimulant- Pseudocercospora fijiensis molecular interaction

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          Abstract

          Two subtractive cDNA libraries from banana leaves (cultivar ‘Williams’, genotype AAA) after biostimulant application on the leaf (library 1) or the substrate (library 2), with Pseudocercospora fijiensis infection were generated. The banana plants were applied first with the biostimulant and later the inoculation of P. fijiensis was performed on the leaves after one week. The suppression subtractive hybridization was performed by using as tester the treatments with biostimulant application by sampling banana leaves after two weeks of P. fijiensis inoculation, and every two weeks for two months (four time points); while the driver were collected on the same dates on independent banana plants that were only inoculated with P. fijiensis (no biostimulant application). The plants were maintained in the greenhouse for the entire assay.

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          Identification of Differentially-Expressed Genes in Response to Mycosphaerella fijiensis in the Resistant Musa Accession ‘Calcutta-4’ Using Suppression Subtractive Hybridization

          Bananas and plantains are considered an important crop around the world. Banana production is affected by several constraints, of which Black Sigatoka Disease, caused by the fungus Mycosphaerella fijiensis, is considered one of the most important diseases in banana plantations. The banana accession ‘Calcutta-4’ has a natural resistance to Black Sigatoka; however, the fruit is not valuable for commercialization. Gene identification and expression studies in ‘Calcutta-4’ might reveal possible gene candidates for resistant to the disease and elucidate mechanisms for resistance. A subtracted cDNA library was generated from leaves after 6, 9 and 12 days inoculated with M. fijiensis conidia on greenhouse banana plants of the accession ‘Calcutta-4’. Bioinformatic analysis revealed 99 good quality sequences. Blast2go analysis revealed that 31% of the sequences could not be categorized and, according to the Biological Process Category, 32 and 28 ESTs are related to general metabolic and cellular processes, respectively; while 10 ESTs response to stimulus. Seven sequences were redundant and one was similar to genes that may be involved in pathogen resistance including the putative disease resistance protein RGA1. Genes encoding zinc finger domains were identified and may play an important role in pathogen resistance by inducing the expression of downstream genes. Expression analysis of four selected genes was performed using RT-qPCR during the early stage of the disease development at 6, 9, 12 and 15 days post inoculation showing a peak of up regulation at 9 or 12 days post inoculation. Three of the four genes showed an up-regulation of expression in ‘Calcutta-4’ when compared to ‘Williams’ after inoculation with M. fijiensis, suggesting a fine regulation of specific gene candidates that may lead to a resistance response. The genes identified in early responses in a plant-pathogen interaction may be relevant for the resistance response of ‘Calcutta-4’ to Black Sigatoka. Genes with different functions may play a role in plant response to the disease. The present study suggests a fine up regulation of these genes that might be needed to perform an incompatible interaction. Further gene functional studies need to be performed to validate their use as candidate resistance genes in susceptible banana cultivars.
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            Organic banana production in Ecuador: Its implications on black Sigatoka development and plant–soil nutritional status

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              Author and article information

              Contributors
              Journal
              Data Brief
              Data Brief
              Data in Brief
              Elsevier
              2352-3409
              05 October 2019
              December 2019
              05 October 2019
              : 27
              : 104557
              Affiliations
              [a ]ESPOL Polytechnic University, ESPOL, Centro de Investigaciones Biotecnológicas del Ecuador, Campus Gustavo Galindo, Km. 30.5 vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador
              [b ]ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ciencias de la Vida, Campus Gustavo Galindo, Km. 30.5 vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador
              Author notes
              []Corresponding author. ESPOL Polytechnic University, ESPOL, Centro de Investigaciones Biotecnológicas del Ecuador, Campus Gustavo Galindo, Km. 30.5 vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador. gsantos@ 123456espol.edu.ec
              Article
              S2352-3409(19)30912-6 104557
              10.1016/j.dib.2019.104557
              6806456
              ff16bcee-5a8f-4b47-86e4-19b22a644cc3
              © 2019 The Author(s)

              This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

              History
              : 30 July 2019
              : 3 September 2019
              : 17 September 2019
              Categories
              Agricultural and Biological Science

              plant-biostimulant interaction,plant-pathogen interaction,gene expression,ssh-method

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