Genassemblage software, a tool for management of genetic diversity in human-dependent populations

Dariusz Kaczmarczyk

doi:10.1007/s12686-014-0356-8

Abstract

Genassemblage 1.0 is a user-friendly, Windows-based program that facilitates the assemblage of mating pairs to maintain genetic diversity. The software can be used with diploid, tetraploid and partially tetraploid organisms. To identify optimal mating pairs, the program estimates and compares the expected values of three genetic variation indicators for the progeny of individual spawning pairs (heterozygosity, percent of “weak heterozygotic” genotypes and allelic diversity). The genetic profiles of the potential parents include their tag numbers, sex and a list of alleles detected at investigated loci. The results are presented in tables, and the pairings that would have progeny with the best indicator values are highlighted; these values can be weighted to determine the best set of breeding pairs. Genassemblage files can be converted to .arp and .dat format for subsequent analysis with MSA and Arlequin 3.5.

Highlights

Genassemblage 1.0 is a user-friendly, Windows-based program that facilitates the assemblage of mating pairs to maintain genetic diversity
It is important to maintain high levels of heterozygosity and allelic diversity in broodstock (Lande and Shannon 1996; Hansen et al 2000), genetic variation within hatcheries-dependant populations may be decreasing due to progressive elimination of allelic diversity (Koljonen et al 1999, 2002; Verspoor et al 2005)
Transfer of genetic variation to the generation will be reduced if genetically similar individuals are paired because their

Summary

Introduction

Genassemblage 1.0 is a user-friendly, Windows-based program that facilitates the assemblage of mating pairs to maintain genetic diversity. To create breeding pairs who are as genetically different as possible, genetic profiles can be prepared using highly polymorphic fragments of DNA such as microsatellites. Genassemblage estimates the expected genetic variation of the offspring of different combinations of individuals.

Results

Conclusion