Data · dataset · 2021
Data from: Evaluating methods for estimating local effective population size with and without migration
Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/fy5ky3
Description
Abstract
Effective population size is a fundamental parameter in population genetics, evolutionary biology and conservation biology, yet its estimation can be fraught with difficulties. Several methods to estimate Ne from genetic data have been developed which take advantage of various approaches for inferring Ne. The ability of these methods to accurately estimate Ne, however, has not been comprehensively examined.
Read the rest (14 more)
In this study, we employ seven of the most cited methods for estimating Ne from genetic data (Colony2, CoNe, Estim, MLNe, ONeSAMP, TMVP, and NeEstimator including LDNe) across simulated datasets with populations experiencing migration or no migration. The simulated population demographies are an isolated population with no immigration, an island model metapopulation with a sink population receiving immigrants, and an isolation by distance stepping stone model of populations.
We find considerable variance in performance of these methods, both within and across demographic scenarios, with some methods performing very poorly. The most accurate estimates of Ne can be obtained by using LDNe, MLNe, or TMVP; however each of these approaches is outperformed by another in a differing demographic scenario. Knowledge of the approximate demography of population as well as the availability of temporal data largely improves Ne estimates.
Usage notes
Ne500_IdealRawPopulationFiles These are the "true" population files for ideal (isolation) populations of size 500 simulated from Nemo. They contain all individuals and many extra loci, from which these were sampled to obtain the inputs used in analyses (see Program_InputFiles). Temporal samplers used two time points, from which the files here are identified as belonging to generation 0 or generation 1.
Ideal500_Raw.zip Ne5000_IdealRawPopulationFiles These are the "true" population files for ideal (isolation) populations of size 5000 simulated from Nemo. They contain all individuals and many extra loci, from which these were sampled to obtain the inputs used in analyses (see Program_InputFiles). Temporal samplers used two time points, from which the files here are identified as belonging to generation 0 or generation 1.
Ideal5000_Raw.zip Ne50_Generation0_IdealRawPopulationFiles These are the "true" population files for ideal (isolation) populations of size 50 simulated from Nemo. They contain all individuals and many extra loci, from which these were sampled to obtain the inputs used in analyses (see Program_InputFiles). Temporal samplers used two time points, from which the files here are identified as belonging to generation 0 or generation 1.
Ideal50_Gen0.zip Ne50_Generation1_IdealRawPopulationFiles These are the "true" population files for ideal (isolation) populations of size 50 simulated from Nemo. They contain all individuals and many extra loci, from which these were sampled to obtain the inputs used in analyses (see Program_InputFiles). Temporal samplers used two time points, from which the files here are identified as belonging to generation 0 or generation 1.
Ideal50_Gen1.zip EstimationPrograms_FormattedInputFiles See the ReadMe for further details. These are the input files formatted for each analysis program and are the population samples under analysis. Program_InputFiles.zip ProgramOutputFilesFor_Colony_Estim_MLNe_NeEstimator_ONeSamp_TMVP These are the Ne estimates output by the various programs.
See the readme for file naming conventions. Because of their large size, CoNe output files are stored separately. Colony_Estim_MLNe_NeEstimator_ONeSamp_TMVP_OutputFiles.zip CoNe_Ideal_OutputFiles These are outputs for Cone Ideal (isolation) population cases.
See the Readme for file naming conventions. CoNe_Mig50_OutputFiles CoNe Ne estimation output files for Migration scenarios with true Ne = 50. See the same readme for other input/output files for naming conventions.
CoNe_Mig500_OutputFiles CoNe Ne estimation output files for Migration scenarios with true Ne = 500. See the same readme for other input/output files for naming conventions. CoNe_IBD50_OutputFiles CoNe Ne estimation output files for IBD scenarios with true Ne = 50.
See the same readme for other input/output files for naming conventions. CoNe_IBD500_OutputFiles CoNe Ne estimation output files for IBD scenarios with true Ne = 500. See the same readme for other input/output files for naming conventions.
ParamFiles_ConversionAndAnalysisScripts See the Readme files contained within each subfolder. These are the input files used for nemo simulations (Migration and IBD raw simulation files were >80GB in size when compressed, and may be requested from KJ Gilbert). Otherwise, these input files contain the parameters used in Nemo v2.2.0 to create the raw population files from which individuals were sampled.
R scripts for file conversion to the various program inputs as well as for analyzing the various outputs are also included, but are also made public on GitHub at: github.com/kjgilbert/NeEstimation_Param-Conversion-Analysis_Files
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP2%2FFY5KY3 ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp2/fy5ky3 ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP2%2… ↗
metadata API · from borealisdata ca
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Social Science · Social Science
- Inferred from text
- Ecology 74% · Simulation 75%
Provenance · 2 source records, 23 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP2/FY5KY3 | 11 d ago | JSON v1 |
| Agri-environmental Research Data Dataverse | doi:10.5683/SP2/FY5KY3 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3103 | enrichment · borealisdata ca | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].dataverse_subject:other | source · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].dataverse_subject:other | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[method].local:method:simulation | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |