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Influence of parameter settings in automated scoring of AFLP s on population genetic analysis
Author(s) -
Herrmann Marc,
Holderegger Rolf,
Strien Maarten J.
Publication year - 2013
Publication title -
molecular ecology resources
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.96
H-Index - 136
eISSN - 1755-0998
pISSN - 1755-098X
DOI - 10.1111/1755-0998.12033
Subject(s) - biology , amplified fragment length polymorphism , population , genetics , computational biology , evolutionary biology , genetic diversity , demography , sociology
The use of procedures for the automated scoring of amplified fragment length polymorphisms ( AFLP ) fragments has recently increased. Corresponding software does not only automatically score the presence or absence of AFLP fragments, but also allows an evaluation of how different settings of scoring parameters influence subsequent population genetic analyses. In this study, we used the automated scoring package rawgeno to evaluate how five scoring parameters influence the number of polymorphic bins and estimates of pairwise genetic differentiation between populations ( F st ). Steps were implemented in r to automatically run the scoring process in rawgeno for a set of different parameter combinations. While we found the scoring parameters minimum bin width and minimum number of samples per bin to have only weak influence on pairwise F st values, maximum bin width and bin reproducibility had much stronger effects. The minimum average bin fluorescence scoring parameter affected F st values in an only moderate way. At a range of scoring parameters around the default settings of rawgeno , the number of polymorphic bins as well as pairwise F st values stayed rather constant. This study thus shows the particularities of AFLP scoring, be it either manual or automatical, can have profound effects on subsequent population genetic analysis.