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Evaluating methods for estimating local effective population size with and without migration.

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Summary
This summary is machine-generated.

Estimating effective population size (Ne) is crucial but challenging. This study evaluated seven methods, finding LDNe, MLNe, and TMVP most accurate, though performance varied with population demography and temporal data availability.

Keywords:
Effective population sizegene flowgenetic driftpopulation geneticspopulation structure

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Area of Science:

  • Population genetics
  • Evolutionary biology
  • Conservation biology

Background:

  • Effective population size (Ne) is a fundamental parameter in several biological disciplines.
  • Accurate estimation of Ne from genetic data is challenging, with numerous methods developed.
  • The comparative performance of these Ne estimation methods across different demographic scenarios remains under-examined.

Purpose of the Study:

  • To comprehensively evaluate the accuracy of seven widely-used methods for estimating effective population size (Ne) from genetic data.
  • To assess the impact of different population demographic models (isolated, island, isolation-by-distance) on the performance of Ne estimation methods.
  • To identify which methods provide the most reliable Ne estimates under various conditions.

Main Methods:

  • Utilized seven prominent Ne estimation methods: Colony2, CoNe, Estim, MLNe, ONeSAMP, TMVP, and NeEstimator (including LDNe).
  • Employed simulated genetic datasets representing three distinct population demographic scenarios: isolated, island metapopulation, and isolation-by-distance.
  • Analyzed method performance across simulations with and without migration to assess robustness.

Main Results:

  • Observed significant variance in the accuracy of Ne estimation methods, both within and across demographic scenarios.
  • Identified LDNe, MLNe, and TMVP as generally providing the most accurate Ne estimates.
  • Demonstrated that the optimal method for Ne estimation is scenario-dependent, with each top-performing method being outperformed by another in specific demographic contexts.

Conclusions:

  • The accuracy of effective population size (Ne) estimation methods is highly dependent on population demography and data type.
  • LDNe, MLNe, and TMVP are recommended for Ne estimation, but users must consider the specific population structure.
  • Incorporating knowledge of population demography and utilizing temporal genetic data can substantially improve the reliability of Ne estimates.