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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Oxford University Press
2022-04-01
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| Series: | G3: Genes, Genomes, Genetics |
| Online Access: | https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkac086 |
| _version_ | 1818194768477290496 |
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| author | Lauren M Schulte Kathryn M Koirtyohann Karen M McGinnis |
| author_facet | Lauren M Schulte Kathryn M Koirtyohann Karen M McGinnis |
| author_sort | Lauren M Schulte |
| collection | DOAJ |
| description |
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 |
| first_indexed | 2024-12-12T01:07:32Z |
| format | Article |
| id | doaj.art-56a9d188960d4a7f8ebf4010ffb244b8 |
| institution | Directory Open Access Journal |
| issn | 2160-1836 |
| language | English |
| last_indexed | 2024-12-12T01:07:32Z |
| publishDate | 2022-04-01 |
| publisher | Oxford University Press |
| record_format | Article |
| series | G3: Genes, Genomes, Genetics |
| spelling | doaj.art-56a9d188960d4a7f8ebf4010ffb244b82022-12-22T00:43:32ZengOxford University PressG3: Genes, Genomes, Genetics2160-18362022-04-0112610.1093/g3journal/jkac086Using iRNA-seq analysis to predict gene expression regulatory level and activity in <i>Zea mays</i> tissuesLauren M Schulte0https://orcid.org/0000-0002-3446-6816Kathryn M Koirtyohann1https://orcid.org/0000-0001-8565-7324Karen M McGinnis2https://orcid.org/0000-0002-9564-8146Department of Biological Science, Florida State University, Tallahassee, FL 32306, USADepartment of Biological Science, Florida State University, Tallahassee, FL 32306, USADepartment of Biological Science, Florida State University, Tallahassee, FL 32306, USA 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 mayshttps://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkac086 |
| spellingShingle | Lauren M Schulte Kathryn M Koirtyohann Karen M McGinnis Using iRNA-seq analysis to predict gene expression regulatory level and activity in <i>Zea mays</i> tissues G3: Genes, Genomes, Genetics |
| title | Using iRNA-seq analysis to predict gene expression regulatory level and activity in <i>Zea mays</i> tissues |
| title_full | Using iRNA-seq analysis to predict gene expression regulatory level and activity in <i>Zea mays</i> tissues |
| title_fullStr | Using iRNA-seq analysis to predict gene expression regulatory level and activity in <i>Zea mays</i> tissues |
| title_full_unstemmed | Using iRNA-seq analysis to predict gene expression regulatory level and activity in <i>Zea mays</i> tissues |
| title_short | Using iRNA-seq analysis to predict gene expression regulatory level and activity in <i>Zea mays</i> tissues |
| title_sort | using irna seq analysis to predict gene expression regulatory level and activity in i zea mays i tissues |
| url | https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkac086 |
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