A proposal for a multivariate quantitative approach to infer karyological relationships among taxa.
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ABSTRACT:
SUBMITTER: Peruzzi L
PROVIDER: S-EPMC4296720 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
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A proposal for a multivariate quantitative approach to infer karyological relationships among taxa.
Peruzzi Lorenzo L Altınordu Fahim F
Comparative cytogenetics 20141210 4
Until now, basic karyological parameters have been used in different ways by researchers to infer karyological relationships among organisms. In the present study, we propose a standardized approach to this aim, integrating six different, not redundant, parameters in a multivariate PCoA analysis. These parameters are chromosome number, basic chromosome number, total haploid chromosome length, MCA (Mean Centromeric Asymmetry), CVCL (Coefficient of Variation of Chromosome Length) and CVCI (Coeffic ...[more]
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