Reliability assessment of null allele detection: inconsistencies between and within different methods
Version of Record online: 28 OCT 2013
© 2013 John Wiley & Sons Ltd
Molecular Ecology Resources
Volume 14, Issue 2, pages 361–373, March 2014
How to Cite
Dąbrowski, M. J., Pilot, M., Kruczyk, M., Żmihorski, M., Umer, H. M. and Gliwicz, J. (2014), Reliability assessment of null allele detection: inconsistencies between and within different methods. Molecular Ecology Resources, 14: 361–373. doi: 10.1111/1755-0998.12177
- Issue online: 20 FEB 2014
- Version of Record online: 28 OCT 2013
- Accepted manuscript online: 1 OCT 2013 01:30AM EST
- Manuscript Accepted: 20 SEP 2013
- Manuscript Revised: 17 SEP 2013
- Manuscript Received: 30 JAN 2012
- Polish National Science Centre. Grant Number: NN304 346339
- Foundation for Polish Science
Table S1 Characteristics of 20 microsatellite loci analysed in the root vole population, organized in four multiplex PCR reactions.
Table S2 Loci with putative null alleles confirmed for the entire dataset (root vole population, all years pooled) using all four methods.
Table S3 Characteristics of the simulated populations. Range, mean values and SDs were computed separately for 50 replicates representing each scenario of the bottleneck size and duration (in generations).
Table S5 Number of loci with null alleles detected using four programs in populations simulated with various levels and duration of a bottleneck.
Fig. S1 The observed and expected frequency of homozygotes vs. null allele frequency in the loci where null alleles were simulated using NullAlleleGenerator in 120 randomly selected populations.
Table S4 Genetic estimates and null allele detection results computed for simulated populations affected by various bottleneck scenarios.
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