Literature DB >> 15098735

First report on RAPDs patterns able to differentiate some Argentinean species of section Algarobia (Prosopis, Leguminosae).

Laura Inés Ferreyra1, Cecilia Bessega, Juan C Vilardi, Beatriz O Saidman.   

Abstract

Prosopis species constitute a very important resource in arid and semiarid regions. Some species of section Algarobia hybridise and introgress naturally in areas of sympatry. According to previous isoenzymatic studies these species have high variability within populations. However, the genetic differentiation among species was very low, and these markers failed to provide diagnostic loci for species recognition. Here we analysed by the RAPD technique natural populations of Prosopis alba, P. ruscifolia, P. nigra, P. flexuosa, and P. vinalillo with the purpose of obtaining markers for species and hybrid identification, by analysing the distribution of genetic diversity within and among species. Genetic variability (H = 0.12-0.26) was similar in all populations. Genetic differentiation among populations (FST = 0.39) was highly significant. Hierarchical analysis of genetic structure performed by Wright (1978) method and analysis of molecular variance (AMOVA) indicated that the diversity among populations within species is low (4-13%) and most genetic diversity (54-61%) occurs within populations. The differentiation among species is intermediate (26-42%) between the previous components but highly significant. Five bands provided a tool for identifying any of the species studied, with the exception of P. vinalillo. The difficulty in diagnosing this species is discussed in reference to the hypothesis of its hybrid origin.

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Year:  2004        PMID: 15098735     DOI: 10.1023/b:gene.0000019925.06080.c7

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  1 in total

1.  Evidences of local adaptation in quantitative traits in Prosopis alba (Leguminosae).

Authors:  C Bessega; C Pometti; M Ewens; B O Saidman; J C Vilardi
Journal:  Genetica       Date:  2014-12-19       Impact factor: 1.082

  1 in total

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