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Gene expression profiling in peanut using oligonucleotide microarrays

dataset
posted on 2024-06-11, 05:08 authored by Payton Lab, Plant & Soil Science, USDA-ARS Lubbock & Texas Tech University
Transcriptome expression analysis in peanut to date has been limited to a relatively small set of genes and only recently have moderately significant number of ESTs has been released into the public domain. Utilization of these ESTs for the oligonucleotide microarrays provides a means to investigate large-scale transcript responses to a variety of developmental and environmental signals, ultimately improving our understanding of plant biology. We have developed a high-density oligonucleotide microarray for peanut using approximately 47,767 publicly available ESTs and tested the utility of this array for expression profiling in a variety of peanut tissues. To identify putatively tissue-specific genes and investigate the utility of this array, we compared transcript levels in pod to peg, leaf, stem, and root tissues. Results from this experiment showed a number of putatively pod-specific/abundant genes, as well as transcripts whose expression was low or undetected in pod compared to either peg, leaf, or stem. Keywords: Peanut tissue-specific gene expression Overall design: We used Agilent peanut gene chips (017430) to identify putative tissue-specific genes and investigate the utility of the array for expression profiling of various peanut tissues. Pod, leaf, stem, peg and root tissues of the peanut genotype Flavrunner 458 were used in the study. Field grown plants under normal irrigation were used for sample collection. Three replications of microarray experiments were carried out by hybridizing the cRNA from pod tissue and cRNA from leaf, stem, peg and root tissues on the same dual color oligonucleotide arrays.

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2008-12-30

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

transcriptome; gene expression

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA106585

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA106585 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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