Published September 20, 2021 | Version 1

RNA-seq data of "Transcriptome analyses of leaves reveal that hexanoic acid priming differentially regulate gene expression in contrasting Coffea arabica cultivars"

  • 1. Group of Genomics and Transcriptomics in Plants, Instituto de Biociências, São Paulo State University, Rio Claro, Brazil
  • 2. Group of Genomics and Transcriptomics in Plants, Instituto de Biociências, São Paulo State University, Rio Claro, Brazil and State University of Londrina, UEL, Brazil

Description

This dataset represent FASTQ gziped files from the study "Transcriptome analyses of leaves reveal that hexanoic acid priming differentially regulate gene expression in contrasting Coffea arabica cultivars" (https://doi.org/10.3389/fsufs.2021.735893). Sequencing was done using an Illumina Novaseq 6000 instrument, paired-sequencing (2 X150 bp). Sample details are also available at https://www.ebi.ac.uk/ena/browser/view/ERA6282544.

 

All filenames have the following naming scheme:

LCS7609_DS_AAA_leafBBB_(R1 or R2).fq.gz

AAA stands for the abbreviations:

- CC (Coffea arabica cv Catuai control)

- CHx (Coffea arabica cv Catuai exposed to Hexanoic acid)

- OC (Coffea arabica cv Obatã control)

- OHx (Coffea arabica cv Obatã exposed to Hexanoic acid)

BBB stands for the number of biological replicate (1, 2 or 3).

 

 

 

Notes

Experiment is also detailed in https://www.ebi.ac.uk/ena/browser/view/ERA6282544. This dataset was produced using funding from FAPESP (grant number 2016/10896-0, to Douglas S. Domingues). Ilara Budzinski participation was possible thanks to the scholarship granted from the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), in the scope of the Program CAPES-PrInt, process number 88887.310463/2018-00, International Cooperation Project number 88881.310767/2018-01;. Suzana Ivamoto-Suzuki was a postdoc researcher funded by FAPESP (process 2017/01455-2). Paula O. Camargo receives a PhD fellowship from CNPq. Natalia Calzado and Raíssa Rosa were recipients of CAPES fellowships (Code: 001).

Files

Files (31.3 GB)

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Additional details