Transcriptome profiling dataset of different developmental stage flowers of soybean (Glycine max)
Eszter Virág,
Géza Hegedűs,
Barbara Kutasy,
Kincső Decsi
Affiliations
Eszter Virág
EduCoMat Ltd., 8360 Keszthely, Iskola u. 12/A., Hungary; Department of Molecular Biotechnology and Microbiology, Institute of Biotechnology, Faculty of Science and Technology, University of Debrecen, 4132 Debrecen, Egyetem tér 1., Hungary; Corresponding author's email address and Twitter handle
Géza Hegedűs
EduCoMat Ltd., 8360 Keszthely, Iskola u. 12/A., Hungary; Department of Information Technology and its Applications, Faculty of Information Technology, University Center Zalaegerszeg, University of Pannonia, 8900 Zalaegerszeg, Gasparich Márk u. 18., Hungary
Barbara Kutasy
Department of Plant Physiology and Plant Ecology, Hungarian University of Agriculture and Life Sciences, Georgikon Campus Keszthely, 8360 Keszthely, Festetics Gy. u.7., Hungary
Kincső Decsi
Department of Plant Physiology and Plant Ecology, Hungarian University of Agriculture and Life Sciences, Georgikon Campus Keszthely, 8360 Keszthely, Festetics Gy. u.7., Hungary
The dynamic of flower development is a key agronomic characteristic affecting soybean yield. RNA-seq dataset of field-cultivated soybean flowers in four developmental stages including flower buds, and early, mature, and overblown stage flowers are reported in this paper. Gene Expression (Gex) library construction and Illumina NextSeq550 sequencing were carried out to produce 86 bp long forward reads. Reads were preprocessed and deposited in the National Center for Biotechnology Information Sequence Read Archive (NCBI SRA) database. These SRA depositions are under the BioProject accession: PRJNA807844. A reference transcriptome dataset was de novo assembled using these SRA reads. Annotation, differential expression, and gene set enrichment analyses were performed and deposited in the Mendeley Data.
