Systematic Botany and Mycology

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Dr. Natalie Cusimano

Dr. Natalie Cusimano

Research Assistant


Ludwig-Maximilians-Universität München
Department Biologie I
Systematische Botanik und Mykologie
Menzinger Str. 67
80638 München

Phone: +49 89 17861-228

Work group

Prof. Renner


Google Scholar


Use R!

Research interests

Extremes in chromosome numbers in closely related taxa: A combined approach to studying the underlying karyotype evalution

A long-standing question about plant genomes is how some groups have merged to organize their gene content on tremendously varying numbers of chromosomes, sometimes over short evolutionary time spans. This is the question we propose to address here, using the Araceae genus Typhonium as a study system.

Asian Typhonium have 2n = 10,Australian Typhonium can have 2n = 160, these being the lowest and almost highest numbers in the family. New and published counts also imply a broad range of base chromosome numbers in Typhonium. In a multi-locus phylogeny of Typhonium, the 2n = 10 species are embedded amoung species with higher chromosome numbers, implying chromosome loss or fusion, while the high counts imply muliple rounds of polyploidization.

We propose to investigate:
(i) karyotype rearrangements that led to chromosome number reduction of multiplication
(ii) genome size changes accompanying chromosome number changes; and
(iii) the evolutionary context of chnages in genome size and/or chromosome number (for example, time and place, as estimated from the phylogeny)
Techniques to be used are molecular phylogenetics, genome size measurements, and fluorescence in situ hybridization (FISH) with repetitive DNA sequences.

Other research interests

  • Evoluation of the Araceae family based on molecular data in combination with morphological, anatomical and karyolgoical data
  • Diversification analyses and the missing species problem
  • Evolution of the cox1 intron in angiosperms
  • Analysis of phylogenetics and evoluation in a single computational environment using R
  • Reconstruction of chromosome number evolution with chromEvol