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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) Dr Owen Powell (Aggregated by) Professor Mark Cooper (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=Dr Owen Powell&rft.creator=Professor Mark Cooper&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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Identifiers
ACN 633 798 857