3533431
doi
10.5281/zenodo.3533431
oai:zenodo.org:3533431
Calic, Irina
Fordham University
Joly-Lopez, Zoe
New York University
Platts, Adrian E.
New York University
Choi, Jae Y.
New York University
Natividad, Mignon
International Rice Research Institute
Dorph, Katherine
New York University
Mauck, William M.
New York Genome Center
Bracken, Bernadette
New York University
Cabral, Carlo L. U.
International Rice Research Institute
Kumar, Arvind
International Rice Research Institute
Torres, Rolando O.
International Rice Research Institute
Satija, Rahul
New York University
Vergara, Georgina
International Rice Research Institute
Henry, Amelia
International Rice Research Institute
Franks, Steven J.
Fordham University
Purugganan, Michael D.
New York University
Processed RNA expression count data from Groen et al.: The strength and pattern of natural selection on rice gene expression
Groen, Simon C.
New York University
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Rice
Oryza sativa
gene expression
RNA-seq
drought
<p>We assessed transcriptome variation in populations of 216 accessions of rice, <em>Oryza sativa</em>, which represented all major varietal groups including indica and japonica. During the 2016 Philippines dry season the accessions were planted in triplicate (with two accessions planted in triplicate three times as replicated checks) in identical alpha-lattice layouts of 660 plots in two fields: a continuously wet paddy, and a field where plants were exposed to intermittent drought in the vegetative and reproductive stages. We measured transcript levels in leaf blades of 50-day-old plants at 33 days after seedling transplant, and 17 days after withholding water in the dry field, using a liquid automation-based 3’ mRNA-seq quantification approach. Samples were multiplexed in batches of 96 per library. Raw sequencing data are available at the SRA in BioProject accession number PRJNA588478. A key to the raw sequencing data in this BioProject can be found in the metadata of the processed RNA expression count data here.</p>
Zenodo
2019-11-11
info:eu-repo/semantics/other
3533430
1579591404.349993
269114167
md5:563ec7bb22e2c86352e29efd94ee63b6
https://zenodo.org/records/3533431/files/GroenProcessedExpressionCountData.csv
193131
md5:3db568b484b232173180c6f6e8165cd1
https://zenodo.org/records/3533431/files/GroenProcessedExpressionCountMetadata.csv
public
10.5281/zenodo.3533430
isVersionOf
doi