Chromosome Selection
Forward-time simulation study of optimal chromosome number given epistasis type and environmental stability. Mallory Murphy lead (UG). 290,000 replicate simulations across ~1,200 parameter cells on Grace. All 20 simulation sweeps complete.
Status: active
Current hypothesis:
An optimal chromosome number exists for a given combination of epistasis sign (positive vs. negative) and environmental stability; deviations from that optimum — in either direction — reduce mean fitness, with the magnitude of the cost determined by epistasis type and strength. Under negative epistasis and stable environments, lower chromosome numbers are favored; under positive epistasis or fluctuating environments, higher numbers are favored.
Next action:
Drive manuscript writing — simulations done, findings_v3.md is paper-ready
Linked literature
- A Novel Bmr6 Allele (bmr34) Confers the Brown Midrib Phenotype Without Biomass Penalty in Sorghum
- Genetic dissection of photoperiod response in barley: implications for speed breeding and climate resilience
- Reciprocal constraint couples architectural protein abundance and pericentromeric satellite expansion
- Data and simulation files for “Emergent domain segregation in self-interacting polymers explains chromosome 3D conformations in single human cells”
- miR-379-5p promotes ovarian granulosa cell apoptosis in primary ovarian insufficiency by targeting KNDC1 and PEG10
- Altering the dosage of meiotic crossover-associated RING finger proteins affects crossover number and interference in Drosophila
- Tubulin glutamylation: a key regulator of flagella, cilia, centrosomes, and disease pathways
- A de novo start-loss variant in the NIPBL gene causing mild type 1 Cornelia de Lange syndrome in an Iranian family: A Case Report.
- Minimal Cell Chromosome Segregation Model (+ a selection of simulation run outputs)