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Transcriptome profiling dataset of different developmental stage flowers of soybean (Glycine max).
Virág, Eszter; Hegedus, Géza; Kutasy, Barbara; Decsi, Kincso.
Affiliation
  • Virág E; EduCoMat Ltd., 8360 Keszthely, Iskola u. 12/A., Hungary.
  • Hegedus G; Department of Molecular Biotechnology and Microbiology, Institute of Biotechnology, Faculty of Science and Technology, University of Debrecen, 4132 Debrecen, Egyetem tér 1., Hungary.
  • Kutasy B; EduCoMat Ltd., 8360 Keszthely, Iskola u. 12/A., Hungary.
  • Decsi K; Department of Information Technology and its Applications, Faculty of Information Technology, University Center Zalaegerszeg, University of Pannonia, 8900 Zalaegerszeg, Gasparich Márk u. 18., Hungary.
Data Brief ; 43: 108426, 2022 Aug.
Article in En | MEDLINE | ID: mdl-35818355
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Data Brief Year: 2022 Document type: Article Affiliation country: Hungria

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Data Brief Year: 2022 Document type: Article Affiliation country: Hungria