Using iRNA-seq analysis to predict gene expression regulatory level and activity in <i>Zea mays</i> tissues

AbstractPlants regulate gene expression at the transcriptional and post-transcriptional levels to produce a variety of functionally diverse cells and tissues that ensure normal growth, development, and environmental response. Although distinct gene expression patterns have been chara...

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Bibliographic Details
Main Authors: Lauren M Schulte, Kathryn M Koirtyohann, Karen M McGinnis
Format: Article
Language:English
Published: Oxford University Press 2022-04-01
Series:G3: Genes, Genomes, Genetics
Online Access:https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkac086
Description
Summary:AbstractPlants regulate gene expression at the transcriptional and post-transcriptional levels to produce a variety of functionally diverse cells and tissues that ensure normal growth, development, and environmental response. Although distinct gene expression patterns have been characterized between different plant tissues, the specific role of transcriptional regulation of tissue-specific expression is not well-characterized in plants. RNA-seq, while widely used to assay for changes in transcript abundance, does not discriminate between differential expression caused by mRNA degradation and active transcription. Recently, the presence of intron sequences in RNA-seq analysis of libraries constructed with total RNA has been found to coincide with genes undergoing active transcription. We have adapted the intron RNA-sequencing analysis to determine genome-wide transcriptional activity in 2 different maize (Zea mays
ISSN:2160-1836