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PollenCALC: software for estimation of pollen compatibility of self-incompatible allo- and autotetraploid species.
Aguirre, Andrea Arias; Wollenweber, Bernd; Frei, Ursula K; Lübberstedt, Thomas.
Affiliation
  • Aguirre AA; Department of Agronomy, Iowa State University, Agronomy Hall, Ames, IA, USA. andreasa@iastate.edu
BMC Bioinformatics ; 13: 125, 2012 Jun 07.
Article in En | MEDLINE | ID: mdl-22676372
BACKGROUND: Self-incompatibility (SI) is a biological mechanism to avoid inbreeding in allogamous plants. In grasses, this mechanism is controlled by a two-locus system (S-Z). Calculation of male and female gamete frequencies is complex for tetraploid species. We are not aware of any software available for predicting pollen haplotype frequencies and pollen compatibility in tetraploid species. RESULTS: PollenCALC is a software tool written in C++ programming language that can predict pollen compatibility percentages for polyploid species with a two-locus (S, Z) self-incompatibility system. The program predicts pollen genotypes and frequencies based on defined meiotic parameters for allo- or autotetraploid species with a gametophytic S-Z SI system. These predictions can be used to obtain expected values for for diploid and for (allo- or autotetraploidy SI grasses. CONCLUSION: The information provided by this calculator can be used to predict compatibility of pair-crosses in plant breeding applications, to analyze segregation distortion for S and Z genes, as well as linked markers in mapping populations, hypothesis testing of the number of S and Z alleles in a pair cross, and the underlying genetic model.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pollen / Software / Tetraploidy / Self-Incompatibility in Flowering Plants Type of study: Prognostic_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2012 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pollen / Software / Tetraploidy / Self-Incompatibility in Flowering Plants Type of study: Prognostic_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2012 Document type: Article Affiliation country: United States Country of publication: United kingdom