Identification of transcriptional networks controlling leaf sheath growth in Sorghum bicolor
Abstract Objectives The objective of this data set was to identify transcriptional networks that control elongation of seedling leaf sheaths in the C4 grass Sorghum bicolor. One motivation was that leaf sheaths are a primary constituent of stems in grass seedlings; therefore, genes that control grow...
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| Format: | Article |
| Language: | English |
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BMC
2024-01-01
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| Series: | BMC Research Notes |
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| Online Access: | https://doi.org/10.1186/s13104-023-06653-z |
| _version_ | 1797363642151206912 |
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| author | Samuel De Riseis Frank G. Harmon |
| author_facet | Samuel De Riseis Frank G. Harmon |
| author_sort | Samuel De Riseis |
| collection | DOAJ |
| description | Abstract Objectives The objective of this data set was to identify transcriptional networks that control elongation of seedling leaf sheaths in the C4 grass Sorghum bicolor. One motivation was that leaf sheaths are a primary constituent of stems in grass seedlings; therefore, genes that control growth of this organ are important contributors to successful transition from the seedling stage to the mature plant stage and, ultimately, crop success. Since diurnal rhythms contribute to regulation of signaling networks responsible for growth, a time course representing the late afternoon and early evening was anticipated to pinpoint important control genes for stem growth. Ultimately, the expected outcome was discovery of transcript networks that integrate internal and external signals to fine tune leaf sheath growth and, consequently, plant height. Data description The data set is RNAseq profiling of upper leaf sheaths collected from wild type Sorghum bicolor (BTx623 line) plants at four-hour intervals from 12.5 h after dawn to 20 h after dawn. Global transcript levels in leaves were determined by deep sequencing of mRNA from four individual seedlings at each time point. This data set contains sequences representing the spectrum of mRNAs from individual genes. This data set enables detection of significant changes in gene-level expression caused by the progression of the day from late afternoon to the middle of the night. This data set is useful to identify gene expression networks regulating growth in the leaf sheath, an organ that is a major contributor to the sorghum seedling stem and defines seedling height. |
| first_indexed | 2024-03-08T16:24:01Z |
| format | Article |
| id | doaj.art-1fcb9a6a1db942deaa3e733c03131ab5 |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-03-08T16:24:01Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-1fcb9a6a1db942deaa3e733c03131ab52024-01-07T12:09:03ZengBMCBMC Research Notes1756-05002024-01-011711310.1186/s13104-023-06653-zIdentification of transcriptional networks controlling leaf sheath growth in Sorghum bicolorSamuel De Riseis0Frank G. Harmon1Plant Gene Expression Center, USDA-ARSPlant Gene Expression Center, USDA-ARSAbstract Objectives The objective of this data set was to identify transcriptional networks that control elongation of seedling leaf sheaths in the C4 grass Sorghum bicolor. One motivation was that leaf sheaths are a primary constituent of stems in grass seedlings; therefore, genes that control growth of this organ are important contributors to successful transition from the seedling stage to the mature plant stage and, ultimately, crop success. Since diurnal rhythms contribute to regulation of signaling networks responsible for growth, a time course representing the late afternoon and early evening was anticipated to pinpoint important control genes for stem growth. Ultimately, the expected outcome was discovery of transcript networks that integrate internal and external signals to fine tune leaf sheath growth and, consequently, plant height. Data description The data set is RNAseq profiling of upper leaf sheaths collected from wild type Sorghum bicolor (BTx623 line) plants at four-hour intervals from 12.5 h after dawn to 20 h after dawn. Global transcript levels in leaves were determined by deep sequencing of mRNA from four individual seedlings at each time point. This data set contains sequences representing the spectrum of mRNAs from individual genes. This data set enables detection of significant changes in gene-level expression caused by the progression of the day from late afternoon to the middle of the night. This data set is useful to identify gene expression networks regulating growth in the leaf sheath, an organ that is a major contributor to the sorghum seedling stem and defines seedling height.https://doi.org/10.1186/s13104-023-06653-zSorghum bicolorFASTQ fileIllumina sequencingRNAseqLeaf sheathSeedling stem |
| spellingShingle | Samuel De Riseis Frank G. Harmon Identification of transcriptional networks controlling leaf sheath growth in Sorghum bicolor BMC Research Notes Sorghum bicolor FASTQ file Illumina sequencing RNAseq Leaf sheath Seedling stem |
| title | Identification of transcriptional networks controlling leaf sheath growth in Sorghum bicolor |
| title_full | Identification of transcriptional networks controlling leaf sheath growth in Sorghum bicolor |
| title_fullStr | Identification of transcriptional networks controlling leaf sheath growth in Sorghum bicolor |
| title_full_unstemmed | Identification of transcriptional networks controlling leaf sheath growth in Sorghum bicolor |
| title_short | Identification of transcriptional networks controlling leaf sheath growth in Sorghum bicolor |
| title_sort | identification of transcriptional networks controlling leaf sheath growth in sorghum bicolor |
| topic | Sorghum bicolor FASTQ file Illumina sequencing RNAseq Leaf sheath Seedling stem |
| url | https://doi.org/10.1186/s13104-023-06653-z |
| work_keys_str_mv | AT samuelderiseis identificationoftranscriptionalnetworkscontrollingleafsheathgrowthinsorghumbicolor AT frankgharmon identificationoftranscriptionalnetworkscontrollingleafsheathgrowthinsorghumbicolor |