loading page

Estimating contemporary effective population size from SNP data while accounting for mating structure.
  • +1
  • Enrique Santiago,
  • Armando Caballero,
  • Carlos Kopke,
  • Irene Novo
Enrique Santiago
University of Oviedo

Corresponding Author:[email protected]

Author Profile
Armando Caballero
Author Profile
Carlos Kopke
Plasma Labs Enterprises SL
Author Profile
Irene Novo
Universidad de Vigo
Author Profile


A new method is developed to estimate the contemporary effective population size (Ne) from linkage disequilibrium between SNPs without information on their location, which is the usual scenario in non-model species. The general theory of linkage disequilibrium is extended to include the contribution of full-sibs to the measure of LD, leading naturally to the estimation of Ne in monogamous and polygamous mating systems, as well as in multiparous species, and non-random distributions of full-sib family size due to selection or other causes. The prediction of confidence intervals for Ne estimates was solved using a small artificial neural network trained on a dataset of over 105 simulation results. The method, implemented in a user-friendly and fast software (currentNe) is able to estimate Ne even in problematic scenarios with large population sizes or small sample sizes, and provides confidence intervals that are more consistent than parametric methods or resampling.
04 May 2023Submitted to Molecular Ecology Resources
08 May 2023Submission Checks Completed
08 May 2023Assigned to Editor
08 May 2023Review(s) Completed, Editorial Evaluation Pending
11 Jul 2023Reviewer(s) Assigned
07 Aug 2023Editorial Decision: Revise Minor
03 Sep 20231st Revision Received
05 Sep 2023Assigned to Editor
05 Sep 2023Submission Checks Completed
05 Sep 2023Review(s) Completed, Editorial Evaluation Pending
17 Sep 2023Reviewer(s) Assigned
16 Oct 2023Editorial Decision: Revise Minor
23 Oct 20232nd Revision Received
24 Oct 2023Assigned to Editor
24 Oct 2023Submission Checks Completed
24 Oct 2023Review(s) Completed, Editorial Evaluation Pending
26 Oct 2023Editorial Decision: Accept