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AlleleCoder: a PERL script for coding co-dominant polymorphism data for PCA

Published online by Cambridge University Press:  22 July 2011

Angela M. Baldo ,
David M. Francis ,
Martina Caramante ,
Larry D. Robertson  and
Joanne A. Labate
Angela M. Baldo*
Affiliation:
USDA, ARS, Plant Genetic Resources Unit, 630 W. North St., Geneva, NY14456, USA
David M. Francis
Affiliation:
Department of Horticulture and Crop Science, The Ohio State University, Ohio Agricultural Research and Development Center, 1680 Madison Ave., Wooster, OH44691, USA
Martina Caramante
Affiliation:
Dipartimento di Scienze del Suolo, della Pianta, dell'Ambiente e delle Produzioni Animali, Università degli Studi di Napoli ‘Federico II’, 80055Portici, Napoli, Italy
Larry D. Robertson
Affiliation:
USDA, ARS, Plant Genetic Resources Unit, 630 W. North St., Geneva, NY14456, USA
Joanne A. Labate
Affiliation:
USDA, ARS, Plant Genetic Resources Unit, 630 W. North St., Geneva, NY14456, USA
*
*Corresponding author. E-mail: angela.baldo@ars.usda.gov
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Abstract

A useful biological interpretation of diploid heterozygotes is in terms of the dose of the common allele (0, 1 or 2 copies). We have developed a PERL script that converts FASTA files into coded spreadsheets suitable for principal component analysis. In combination with R and R Commander, two- and three-dimensional plots can be generated for visualizing genetic relationships. Such plots are useful for characterizing plant genetic resources. This method nicely illustrated the spectrum of genetic diversity in tomato landraces and the varieties categorized according to human-mediated dispersal.

Keywords

genetic diversityprincipal component analysissingle nucleotide polymorphismSNP
Type
Short Communication
Information
Plant Genetic Resources , Volume 9 , Issue 4 , December 2011 , pp. 528 - 530
Copyright
Copyright © NIAB 2011

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