NEESTIMATOR v2: re-implementation of software for the estimation of contemporary effective population size (Ne) from genetic data

被引:1722
作者
Do, C. [1 ]
Waples, R. S. [2 ]
Peel, D. [3 ]
Macbeth, G. M. [4 ]
Tillett, B. J. [5 ]
Ovenden, J. R. [6 ]
机构
[1] NW Fisheries Sci Ctr, Conservat Biol Div, Seattle, WA 98112 USA
[2] NW Fisheries Sci Ctr, NOAA Fisheries, Seattle, WA 98112 USA
[3] CSIRO Computat Informat, Hobart, Tas 7004, Australia
[4] Queensland Dept Agr Fisheries & Forestry, Brisbane, Qld 4000, Australia
[5] UWA Oceans Inst, Australian Inst Marine Sci, Crawley, WA 6009, Australia
[6] Univ Queensland, Sch Biomed Sci, Mol Fisheries Lab, St Lucia, Qld 4072, Australia
关键词
heterozygote-excess; linkage disequilibrium; molecular coancestry; Plan I and II temporal sampling; EFFECTIVE NUMBER; PROGRAM; CONSERVATION; CENSUS;
D O I
10.1111/1755-0998.12157
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
NeEstimator v2 is a completely revised and updated implementation of software that produces estimates of contemporary effective population size, using several different methods and a single input file. NeEstimator v2 includes three single-sample estimators (updated versions of the linkage disequilibrium and heterozygote-excess methods, and a new method based on molecular coancestry), as well as the two-sample (moment-based temporal) method. New features include the following: (i) an improved method for accounting for missing data; (ii) options for screening out rare alleles; (iii) confidence intervals for all methods; (iv) the ability to analyse data sets with large numbers of genetic markers (10000 or more); (v) options for batch processing large numbers of different data sets, which will facilitate cross-method comparisons using simulated data; and (vi) correction for temporal estimates when individuals sampled are not removed from the population (Plan I sampling). The user is given considerable control over input data and composition, and format of output files. The freely available software has a new JAVA interface and runs under MacOS, Linux and Windows.
引用
收藏
页码:209 / 214
页数:6
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