Dataset Information

Microarray dataset of after-ripening induced mRNA oxidation in wheat seeds.

ABSTRACT: The dataset presented here profiles oxidative modification of mRNAs in wheat seeds in response to after-ripening, a treatment that releases seeds from the state of dormancy. The level of dormancy in wheat seeds is closely associated with preharvest sprouting, defined as the germination of seeds while they are on the mother plant, which negatively affects wheat yield and quality. Understanding the molecular mechanisms involved in the control of seed dormancy is critical for improving the tolerance of wheat seeds to preharvest sprouting. The dataset were generated using oxidized mRNA samples derived from three independent biological replicates of dormant and after-ripened (non-dormant) wheat seeds and a microarray based experimental procedures that involved the use of Affymetrix GeneChip Wheat Genome Array. The raw and normalized data are available in NCBI?s Gene Expression Ominbus (GEO) database with accession number GSE41949, and a related research article has been published in Plant Biotechnology Journal (Gao et al., 2013).

SUBMITTER: Gao F

PROVIDER: S-EPMC6218628 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Microarray dataset of after-ripening induced mRNA oxidation in wheat seeds.

Gao Feng F Jordan Mark C MC Ayele Belay T BT

Data in brief 20181016

The dataset presented here profiles oxidative modification of mRNAs in wheat seeds in response to after-ripening, a treatment that releases seeds from the state of dormancy. The level of dormancy in wheat seeds is closely associated with preharvest sprouting, defined as the germination of seeds while they are on the mother plant, which negatively affects wheat yield and quality. Understanding the molecular mechanisms involved in the control of seed dormancy is critical for improving the toleranc ...[more]

PMID: 30417044

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Project description:BackgroundPineapple (Ananas comosus) is a tropical fruit crop of significant commercial importance. Although the physiological changes that occur during pineapple fruit development have been well characterized, little is known about the molecular events that occur during the fruit ripening process. Understanding the molecular basis of pineapple fruit ripening will aid the development of new varieties via molecular breeding or genetic modification. In this study we developed a 9277 element pineapple microarray and used it to profile gene expression changes that occur during pineapple fruit ripening.ResultsMicroarray analyses identified 271 unique cDNAs differentially expressed at least 1.5-fold between the mature green and mature yellow stages of pineapple fruit ripening. Among these 271 sequences, 184 share significant homology with genes encoding proteins of known function, 53 share homology with genes encoding proteins of unknown function and 34 share no significant homology with any database accession. Of the 237 pineapple sequences with homologs, 160 were up-regulated and 77 were down-regulated during pineapple fruit ripening. DAVID Functional Annotation Cluster (FAC) analysis of all 237 sequences with homologs revealed confident enrichment scores for redox activity, organic acid metabolism, metalloenzyme activity, glycolysis, vitamin C biosynthesis, antioxidant activity and cysteine peptidase activity, indicating the functional significance and importance of these processes and pathways during pineapple fruit development. Quantitative real-time PCR analysis validated the microarray expression results for nine out of ten genes tested.ConclusionsThis is the first report of a microarray based gene expression study undertaken in pineapple. Our bioinformatic analyses of the transcript profiles have identified a number of genes, processes and pathways with putative involvement in the pineapple fruit ripening process. This study extends our knowledge of the molecular basis of pineapple fruit ripening and non-climacteric fruit ripening in general.

Dataset Information

Microarray dataset of after-ripening induced mRNA oxidation in wheat seeds.

Publications

Microarray dataset of after-ripening induced mRNA oxidation in wheat seeds.

Similar Datasets

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