Data

OzOat Diversity Panel: RNA-seq Transcriptome Data from Controlled Photoperiod Experiments

Commonwealth Scientific and Industrial Research Organisation
McNeil, Meredith ; Rathjen, Tina ; Bovill, Bill ; Trevaskis, Ben ; Boden, Scott ; Harris, Felicity ; Hyles, Jessica ; Sherman, Bjorg
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/xbys-7b43&rft.title=OzOat Diversity Panel: RNA-seq Transcriptome Data from Controlled Photoperiod Experiments&rft.identifier=https://doi.org/10.25919/xbys-7b43&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=RNASeq data from 324 oat leaf tissues sampled at long day and short day controlled environment conditionsLineage: This dataset comprises transcriptomic data generated from glasshouse-grown plants of the OzOat diversity panel under controlled environment conditions. Leaf tissue was collected at the two-leaf developmental stage from plants grown under short day and long day photoperiod treatments for RNA extraction. A total of 648 RNA-seq libraries were successfully constructed, representing 324 OzOat panel varieties, with two photoperiod treatments per genotype. Paired-end sequencing (2 × 100 bp) was performed on the Illumina NovaSeq 6000 platform using an S4 flowcell at Ramaciotti Genomics. Sequencing yielded an average of 34 million reads per library, with a mean insert size of approximately 95 bp, providing high-quality transcriptome data suitable for gene expression and regulatory analyses.&rft.creator=McNeil, Meredith &rft.creator=Rathjen, Tina &rft.creator=Bovill, Bill &rft.creator=Trevaskis, Ben &rft.creator=Boden, Scott &rft.creator=Harris, Felicity &rft.creator=Hyles, Jessica &rft.creator=Sherman, Bjorg &rft.date=2025&rft.edition=v5&rft.coverage=151.24159999999998,-33.8702&rft_rights=Creative Commons Attribution-Noncommercial 4.0 Licence https://creativecommons.org/licenses/by-nc/4.0/&rft_rights=Access to the data is restricted&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=transcriptomics&rft_subject=RNASeq&rft_subject=oat&rft_subject=phenology&rft_subject=Crop and pasture improvement (incl. selection and breeding)&rft_subject=Crop and pasture production&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Plant developmental and reproductive biology&rft_subject=Plant biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Plant biology not elsewhere classified&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution-Noncommercial 4.0 Licence
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All Rights (including copyright) CSIRO 2025.

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RNASeq data from 324 oat leaf tissues sampled at long day and short day controlled environment conditions
Lineage: This dataset comprises transcriptomic data generated from glasshouse-grown plants of the OzOat diversity panel under controlled environment conditions. Leaf tissue was collected at the two-leaf developmental stage from plants grown under short day and long day photoperiod treatments for RNA extraction. A total of 648 RNA-seq libraries were successfully constructed, representing 324 OzOat panel varieties, with two photoperiod treatments per genotype. Paired-end sequencing (2 × 100 bp) was performed on the Illumina NovaSeq 6000 platform using an S4 flowcell at Ramaciotti Genomics. Sequencing yielded an average of 34 million reads per library, with a mean insert size of approximately 95 bp, providing high-quality transcriptome data suitable for gene expression and regulatory analyses.

Available: 2025-12-31

Data time period: 2020-07-01 to 2024-08-31

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151.2416,-33.8702

151.2416,-33.8702

Subjects
Agricultural, Veterinary and Food Sciences | Biological Sciences | Crop and Pasture Improvement (Incl. Selection and Breeding) | Crop and Pasture Production | Plant Biology | Plant Biology Not Elsewhere Classified | Plant Developmental and Reproductive Biology | RNASeq | oat | phenology | transcriptomics |

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Grains Research & Development Corporation (GRDC) : CSP2007-002RTX

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