Salt stress-responsive genes from the genomes of Portulaca oleracea (Purslane) and Gliricidia sepium (Gliricidia).

• Autor(a) principal: Souza Junior, Manoel Teixeira
• Data de Publicação: 2022
• Outros Autores: Leão, André Pereira, Sousa, Carlos Antônio Ferreira de
• Tipo de documento: Conjunto de dados
• Título da fonte: Repositório de Dados de Pesquisa da EMBRAPA (Redape)
• Texto Completo: https://doi.org/10.48432/39ZANH
• topic: Agricultural Sciences; stress abiótico; salinidade; tolerância ao sal; Portulaca oleracea; Gliricidia sepium; RNA sequence; transcriptome

Biotechnology-Based Assets – Saline stress-responsive genes from the genomes of Portulaca oleracea (Purslane) and Gliricidia sepium (Gliricidia), ready to be cloned into a binary vector and later validated in a model plant or target plant to verify the ability to confer salinity tolerance by overexpression. The transcriptomics databases (RNASeq) of Portulaca oleracea (Beldroega) and Gliricidia sepium (Gliricidia), delivered to the Embrapa Agroenergia Pre-Technology Showcase in 2019 and 2020, underwent a selection process to identify saline stress-responsive genes. The databases were within the scope of the SI/CI "Establish a database of phenomics, genomics, transcriptomics and metabolomics of Palm Oil, focusing on the generation of information related to the response of this culture to abiotic and biotic stresses." The selection process led to 298 genes in purslane and 85 in gliricidia. This set of 383 saline stress-responsive genes constitutes a collection of Biotechnology-Based Assets to be validated for their ability to confer tolerance to this abiotic stress. Initially, we developed new versions of the Reference Transcripts (TR) of these two species using their respective datasets deposited in the SRA (Sequence Read Archive) database of the NCBI (National Center for Biotechnology Information). For more information about these two data sets, see: a) https://doi.org/10.1002/tpg2.20182 b) https://doi.org/10.1007/s43657-022-00061-2 We applied the bioinformatics platform OmicsBox v1.3 (BioBam, 2019) to perform the transcriptomics analysis. The two TRs and the respective sets of fastq files used for their production were subjected to differential expression analysis using edgeR v3.28.0 software (Robinson et al., 2010) in the context of OmicsBox v1.3 (BioBam, 2019).