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Stochastic Simulation of Divergent Selection Experiment on a Gene-Phenotype Network: A Case Study of Shoot Branching in Plants

The University of Queensland
Dr Owen Powell (Aggregated by) Professor Mark Cooper (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.6084/m9.figshare.23590083&rft.title=Stochastic Simulation of Divergent Selection Experiment on a Gene-Phenotype Network: A Case Study of Shoot Branching in Plants&rft.identifier=10.6084/m9.figshare.23590083&rft.publisher=The University of Queensland&rft.description=General Background Information on the specification of the Gene-Phenotype Network for Shoot Branching can be found in this publication: https://doi.org/10.1093/insilicoplants/diac006 The Shoot Branching Gene-Phenotype Network generates values for intermediate traits (`Auxin`,`Strigolactone`,`Cytokinin`,`Sucrose` & the `Integrator Signal`) and the end-point trait, `Time Bud Outgrowth`, that was under direct selection in the simuations. Starting from a common segregating population of genotypes (F2 - cycle1 folders), individuals were selected for either `Faster` or `Slower` Time to Bud Outgrowth for 30 selection cycles which created two seperate selection lines. The heritability, the ratio of genetic variance to error variance, of the `Time Bud Outgrowth` trait under direct selection was varied (`H2 = 1.0, 0.7, 0.5, 0.3`) to assess implications of the accuracy of selection decisison on the seleciton trajectories of the gene-phenotype network. The whole divergent selection experiments were replicated 5 times, resulting in 1,200 populations with genotype and phenotype data.&rft.creator=Dr Owen Powell&rft.creator=Professor Mark Cooper&rft.date=2023&rft_rights= https://creativecommons.org/licenses/by/4.0/deed.en&rft_subject=eng&rft_subject=Statistical and quantitative genetics&rft_subject=Bioinformatics and computational biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Plant Cell and Molecular Biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=PLANT BIOLOGY&rft_subject=Plant Physiology&rft_subject=Molecular Evolution&rft_subject=GENETICS&rft_subject=Crop and pasture improvement (incl. selection and breeding)&rft_subject=Crop and pasture production&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft.type=dataset&rft.language=English Access the data
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General Background Information on the specification of the Gene-Phenotype Network for Shoot Branching can be found in this publication: https://doi.org/10.1093/insilicoplants/diac006 The Shoot Branching Gene-Phenotype Network generates values for intermediate traits (`Auxin`,`Strigolactone`,`Cytokinin`,`Sucrose` & the `Integrator Signal`) and the end-point trait, `Time Bud Outgrowth`, that was under direct selection in the simuations. Starting from a common segregating population of genotypes (F2 - cycle1 folders), individuals were selected for either `Faster` or `Slower` Time to Bud Outgrowth for 30 selection cycles which created two seperate selection lines. The heritability, the ratio of genetic variance to error variance, of the `Time Bud Outgrowth` trait under direct selection was varied (`H2 = 1.0, 0.7, 0.5, 0.3`) to assess implications of the accuracy of selection decisison on the seleciton trajectories of the gene-phenotype network. The whole divergent selection experiments were replicated 5 times, resulting in 1,200 populations with genotype and phenotype data.

Issued: 28 06 2023

Data time period: 2021 to 26 06 2023

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Subjects
Agricultural, Veterinary and Food Sciences | Biological Sciences | Biological Sciences | Bioinformatics and Computational Biology | Crop and Pasture Improvement (Incl. Selection and Breeding) | Crop and Pasture Production | Genetics | Molecular Evolution | Plant Biology | Plant Cell and Molecular Biology | Plant Physiology | Statistical and Quantitative Genetics | eng |

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ACN 633 798 857