Literature DB >> 24193390

Genetic variability in Lycopersicon species and their genetic relationships.

M P Bretó1, M J Asins, E A Carbonell.   

Abstract

Genetic diversity has to be described and measured in order to establish breeding strategies and manage genetic resources. It is also fundamental to develop a comparative intraspecific study before attempting to discuss and conclude any phylogenetic relationship. The genetic variability of Lycopersicon species was studied using starch gel electrophoresis of 11 enzymatic systems in a hierarchical fashion. The species with the greatest genetic variability are L. chilense, L. peruvianum and L. pennellii, mainly due to the within-line component. L. chmielewskii, L. parviflorum and L. pimpinellifolium show an intermediate total variability and their between-component clearly predominates over the within-component. The least variable species are L. cheesmanii and L. esculentum. Cluster analysis resulted in three main groups: one formed by the cultigen, L. pimpinellifolium, L. cheesmanii and L. peruvianum;another by two species with self-incompatibility systems, L. pennelli and L. chilense; and another by two autogamous species L. chmielewskii and L. parviflorum. With respect to L. esculentum the farthest related species is Solanum rickii and the closest, L. pimpinellifolium.

Entities:  

Year:  1993        PMID: 24193390     DOI: 10.1007/BF00223815

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  9 in total

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Journal:  Biochem Genet       Date:  1970-04       Impact factor: 1.890

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Journal:  Heredity (Edinb)       Date:  1981-12       Impact factor: 3.821

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Journal:  Theor Appl Genet       Date:  1989-02       Impact factor: 5.699

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Journal:  Theor Appl Genet       Date:  1986-07       Impact factor: 5.699

  9 in total
  21 in total

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Authors:  M J Asíns; R Herrero; L Navarro
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Authors:  M J Asins; M P Bretó; M Cambra; E A Carbonell
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6.  Salt tolerance in Lycopersicon species. II. Genetic effects and a search for associated traits.

Authors:  M J Asins; M P Bretó; E A Carbonell
Journal:  Theor Appl Genet       Date:  1993-07       Impact factor: 5.699

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