Low levels of quantitative and molecular genetic differentiation among natural populations of Medicago ciliaris Kroch. (Fabaceae) of different Tunisian eco-geographical origin |
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Authors: | Mounawer Badri Adel Zitoun Sameh Soula Houcine Ilahi Thierry Huguet Mohamed Elarbi Aouani |
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Institution: | (1) Laboratoire Interactions Légumineuses Microorganismes, Centre de Biotechnologie, Technopole de Borj-Cédria, B.P. 901, 2050 Hammam-Lif, Tunisia;(2) Institut Préparatoire aux Etudes d’Ingénieurs de Bizerte, Université 7 Novembre à Carthage, 7021 Zarzouna, Tunisia;(3) Laboratoire de Symbiose et Pathologie des Plantes, INP-ENSAT, B.P. 107, 31326 Castanet Tolosan Cedex, France |
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Abstract: | In this paper, we analyze the genetic variability in four Tunisian natural populations of Medicago ciliaris using 19 quantitative traits and six polymorphic microsatellite loci. We investigated the amplification transferability of
30 microsatellites developed in the model legume M. truncatula to M. ciliaris. Results revealed that about 56.66% of analyzed markers are valuable genetic markers for M. ciliaris. The most genetic diversity at quantitative traits and microsatellite loci was found to occur within populations (>80%).
Low differentiations among populations at quantitative traits Q
ST
= 0.146 and molecular markers F
ST
= 0.18 were found. The majority of measured traits exhibited no significant difference in the level of Q
ST
and F
ST
. Furthermore, significant correlations established between these traits and eco-geographical factors suggested that natural
selection should be invoked to explain the level of phenotypic divergence among populations rather than drift. There was no
significant correlation between population differentiation at quantitative traits and molecular markers. Significant spatial
genetic structure consistent with models of isolation by distance was detected within all studied populations. The site-of-origin
environmental factors explain about 9.07% of total phenotypic genetic variation among populations. The eco-geographical factors
that influence more the variation of measured traits among populations are the soil texture and altitude. Nevertheless, there
were no consistent pattern of associations between gene diversity (He) and environmental factors. |
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Keywords: | M ciliaris Genetic variability Q ST F ST Eco-geographical factors |
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