Literature DB >> 24641819

A new index for the quantification of chromosome number variation: an application to selected animal and plant groups.

Lorenzo Peruzzi1, Katia Francesca Caparelli2, Gianni Bedini3.   

Abstract

Quantitative parameters have been used to characterize chromosome number (CN) variation. This gave us the idea to collect available data in various organisms and compare them, in order to verify if variation patterns differ between animal and plant groups and to quantify these patterns with an Index of CN Heterogeneity (ICNH), useful as a parameter to compare related taxonomical/geographical groups of organisms. To the best of our knowledge, this is the first attempt to compare CN variation in animal and plant groups with large datasets. The quantitative analysis allowed detecting significant differences among most groups of animals and plants. The most striking difference, however, is the close relationship between mean CN and SD restricted to plants, in which higher CN are also associated with a larger variation degree, possibly due to the well known genomic plasticity in this group and a propensity for polyploidization higher than in animals. The ICNH defined here can be easily calculated for both animal and plant groups based on commonly available data. It summarizes data accumulated in over a century of research and includes so-called anomalies like fB and fOCN, sometimes overlooked by researchers due to lack of a proper way of comparison.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  B chromosomes; Evolution; Index of Chromosome Number Heterogeneity; Odd chromosome numbers; Polyploidy

Mesh:

Year:  2014        PMID: 24641819     DOI: 10.1016/j.jtbi.2014.03.012

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

Review 1.  Plant rDNA database: update and new features.

Authors:  Sònia Garcia; Francisco Gálvez; Airy Gras; Aleš Kovařík; Teresa Garnatje
Journal:  Database (Oxford)       Date:  2014-06-30       Impact factor: 3.451

2.  A proposal for a multivariate quantitative approach to infer karyological relationships among taxa.

Authors:  Lorenzo Peruzzi; Fahim Altınordu
Journal:  Comp Cytogenet       Date:  2014-12-10       Impact factor: 1.800

3.  Unscrambling phylogenetic effects and ecological determinants of chromosome number in major angiosperm clades.

Authors:  Angelino Carta; Gianni Bedini; Lorenzo Peruzzi
Journal:  Sci Rep       Date:  2018-09-24       Impact factor: 4.379

  3 in total

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