Transcriptome Dataset of Strawberry ( Fragaria × ananassa Duch.) Leaves Using Oxford Nanopore Sequencing under LED Irradiation and Application of Methyl Jasmonate and Methyl Salicylate Hormones Treatment

M Adrian, Roedhy Poerwanto, Eiichi Inoue and Deden Derajat Matra ()
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M Adrian: Agronomy and Horticulture Study Program, Graduate School, IPB University, Dramaga Bogor 16680, Indonesia
Roedhy Poerwanto: Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Dramaga Bogor 16680, Indonesia
Eiichi Inoue: College of Agriculture, Ibaraki University, Ami 300-0393, Japan
Deden Derajat Matra: Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Dramaga Bogor 16680, Indonesia

Data, 2023, vol. 8, issue 2, 1-5

Abstract: This data descriptor introduces a transcriptome dataset of strawberry plant left exposed to an LED light treatment and plant hormones of Methyl Jasmonate (MeJA) and Methyl Salicylate (MeSA). These data consist of a transcriptome dataset (four libraries) obtained from the leaves of strawberry plants treated with LEDs of blue and red spectrums and the hormones of Methyl Jasmonate (MeJA) and Methyl Salicylate (MeSA), which allowed us to conduct a further analysis of the growth and development processes of strawberry plants. In addition, we describe detailed procedures on how the plants were prepared and treated and how the data were generated and processed beforehand. Further analysis of these data will significantly help to improve our understanding of the molecular mechanisms of LED light and MeJA-MeSA in strawberry plants.

Keywords: strawberry; long-read sequencing; lights; plant hormone; RNASeq (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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