Stochastic Simulation of Divergent Selection Experiment on a Gene-Phenotype Network: A Case Study of Shoot Branching in Plants
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://figshare.com/articles/dataset/Stochastic_Simulation_of_Divergent_Selection_Experiment_on_a_Gene-Phenotype_Network_A_Case_Study_of_Shoot_Branching_in_Plants/23590083
下载链接
链接失效反馈官方服务:
资源简介:
# Stochastic Simulation of Divergent Selection Experiment on a Gene-Phenotype Network: A Case Study of Shoot Branching in Plants
## Background
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.
### Data
##### Genotype
*TrueQtlInfo.csv*
Information on Causal Genomic Sites (Quantitative Trait Loci - QTL) & their Effect Sizes on Gene-Phenotype Network;
- Column 1: Intermediate Trait Infuenced by each QTL
- Column 2: QTL Order
- Column 3: Effect Size of each QTL
- Column 4: Location Information of each QTL (ChromosomeNumber_WithinChromosomeIndex)
*QtlMatrix.csv*
Information on Number of Gene Copies (Alleles) at each QTL for each individual
- 1st Column: Individual ID
- 2nd Column Onnwards: QTL Allele Counts
*SnpMatrix.csv*
Information on Number of Gene Copies (Alleles) at each SNP (Non-Causal Genomic Sites) for each individual
- 1st Column: Individual ID
- 2nd Column Onnwards: SNP Allele Counts
##### Phenotype
*TraitData.csv*
Trait Records for each individual
- Column 1: Individual ID
- Column 2: Selection Direction on Time to Bud Outhgrowth
- Column 3-6: Additive Genetic Values (Sum of QTL Allele Counts x QTL Effect Size) for Intermediate Traits
- Column 7-11: Total Genetic Values (Sum of Additive Genetic Values + Interaction Effects) for Intermediate Traits
- Column 12: Total Genetic Values for Time to Bud Outgrowth
- Column 13: Phenotypes (Total Genetic Values + Error) for Time to Bud Outgrowth
创建时间:
2023-06-28



