Published July 19, 2024 | Version v1

An estimate of fitness reduction from mutation accumulation in a mammal allows assessment of the consequences of relaxed selection: Dataset

  • 1. ROR icon University of Edinburgh

Contributors

Project manager:

  • 1. ROR icon University of Edinburgh

Description

Supplementary files (data and analysis) for "An estimate of fitness reduction from mutation accumulation in a mammal allows assessment of the consequences of relaxed selection"

Supplementary File 1: C3H_pheno_fix_Jun7_2023_nolowmut.csv

Data for all mice in MA experiment including: mouse ID, sire, dam, generation, mating ID, sex, weight at 3 weeks, weight at 6 weeks, tail length, litter size, litter ID, line ID

 

Supplementary File 2: C3H_pheno_Kontrol_June2023.csv

Data for all control mice including: mouse ID, sire, dam, generation, mating ID, sex, weight at 3 weeks, weight at 6 weeks, tail length, litter size, litter ID, line ID

 

Supplementary File 3: C3H_birthdates.csv

Data for all C3H mice including: mouse ID, birthdate

 

Supplementary File 4: MA_pheno.R

R code for visualising trait data, running linear regressions, and comparing control and MA experiment data

 

Supplementary File 5: C3H_pheno_burnin20_Jun7_2023_nolowmut.csv

Data for all mice in MA experiment including a 20 generation burn-in to simulate mutation-drift balance for Animal model analyses: mouse ID, sire, dam, generation, mating ID, sex, weight at 3 weeks, weight at 6 weeks, tail length, litter size, litter ID, line ID

 

Supplementary File 6: asreml_C3H_ALL.R

R code for estimating mutational heritabilities using mixed model analysis

 

Supplementary File 7: C3H_ped_rekey_Jun2023.csv

Pedigree data for all mice in MA experiment

 

Supplementary File 8: C3H_ped_rekey_KEY.csv

Key for pedigree data file

 

Supplementary File 9: plot_pedigree_tree_MS_final.R

R code for visualising pedigree of mice in MA experiment

Files

C3H_birthdates.csv

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Additional details

Funding

European Research Council
European Union’s Horizon 2020 Research And Innovation Programme Grant 694212

Dates

Accepted
2024-07-19
PLOS Biology

Software

Programming language
R