Skip Navigation

How to Download

FRDR offers multiple ways to download datasets. Learn more in our documentation.

SLiM 3 outputs of in silico local adaptation with conditonally deleterious mutations and antagonistic pleiotropy in a two-deme model

Description: Evolution model output data simulating the impact of custom mutations upon local
adaptation. Dataset also includes an SQLite3 database containing analyzed
results of the evolutionary model. Methodological information is in the
`README.md` file in the dataset, and usage instructions and workflow information
for the code can be found at
<https://github.com/bryce-carson/APCD10Cr_Carson_2022>. Model data was derived
using SLiM v3.3.2. See Haller and Messer (2019)
https://doi.org/10.1093/molbev/msy228 for additional information.
Notes: We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC), funding reference number USRA-549965-2020 and RGPIN-2019-04351.

Cette recherche a été financée par le Conseil de recherches en sciences naturelles et en génie du Canada (CRSNG), [numéro de référence USRA-549965-2020 et RGPIN-2019-04351.
Authors: Carson, Bryce; Mount Royal University; ORCID iD 0000-0002-1362-2998
Keywords: local adaptation
antagonistic pleiotropy
conditionally deleterious
conditionally deleterious mutation
continuous trait
population genetics
evolutionary biology
Field of Research: 
Biological sciences
>
Biological evolution
>
Biological adaptation
Publication Date: 2022-06-28
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Natural Sciences and Engineering Research Council of Canada (NSERC); Undergraduate Student Research Award (USRA); USRA-549965-2020
URI: https://doi.org/10.20383/102.0526
Related Identifiers: 
This dataset is cited by
Mee, J.A., Carson, B.A., & Yeaman, S.M. (2022) The accumulation of conditionally deleterious mutational load is augmented in regions linked to adaptive loci. BioRXiv manuscript in preparation



Files in Dataset 
No files uploaded
Download entire dataset using Globus Transfer. This method requires a Globus account and installing software. Watch Video: Get Started with FRDR: Download a Dataset
Download with Globus
Files for this dataset are currently being backed up so it cannot be approved at this time. Please try later.

Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Carson, B. (2022). SLiM 3 outputs of in silico local adaptation with conditonally deleterious mutations and antagonistic pleiotropy in a two-deme model. Federated Research Data Repository. https://doi.org/10.20383/102.0526