Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes

ABSTRACT The molecular diversity studies of alfalfa (Medicago sativa L.) germplasm could contribute to a more precise selection of parental populations in many breeding programs. Sequence-related amplified polymorphism (SRAP) markers were used to assess the genetic diversity of 110 individual plants...

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Autores principales:	Rhouma,Hela Ben, Taski-Ajdukovic,Ksenija, Zitouna,Nadia, Sdouga,Dorra, Milic,Dragan, Trifi-Farah,Neila
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2017
Materias:	Alfalfa genotypes breeding genetic relationship Medicago sativa SRAP markers.
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000400332
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spelling	oai:scielo:S0718-583920170004003322018-01-30Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposesRhouma,Hela BenTaski-Ajdukovic,KsenijaZitouna,NadiaSdouga,DorraMilic,DraganTrifi-Farah,Neila Alfalfa genotypes breeding genetic relationship Medicago sativa SRAP markers. ABSTRACT The molecular diversity studies of alfalfa (Medicago sativa L.) germplasm could contribute to a more precise selection of parental populations in many breeding programs. Sequence-related amplified polymorphism (SRAP) markers were used to assess the genetic diversity of 110 individual plants from 13 selected alfalfa cultivars, landraces, and natural populations from Tunisia, Australia, Serbia, and Kazakhstan. Ten polymorphic SRAP primer combinations generated 137 alleles with 0.90 polymorphism information content. The percentage of polymorphic bands per genotype ranged from 57.66% to 70.07% with a mean of 64.29% and overall value of 100%. The genotype Sardi 10 had the highest value for the effective number of alleles; Nei’s gene diversity and Shannon information index, exhibited the highest variability level (Ne = 1.453, He = 0.259, I = 0.381, respectively), whereas the genotype Nera exhibited the lowest variability level (Ne = 1.359, He = 0.211, I = 0.317, respectively). The AMOVA analysis showed that 68% of the variance was within the genotypes; this was in line with the coefficient of genetic differentiation (Gst = 0.370). The genetic relatedness of alfalfa individuals analyzed by the neighbor-joining dendrogram was consistent with the Bayesian model-based clustering approach. The exceptions were individuals from genotypes Slavija and Nera, which were grouped separately by STRUCTURE analyses. These results provide useful information for the management of alfalfa genetic resources and the rational use of local and foreign alfalfa populations in breeding programs focused on the development of new, high-yielding cultivars more adapted to drought conditions in North Africa.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.77 n.4 20172017-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000400332en10.4067/S0718-58392017000400332
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Alfalfa genotypes breeding genetic relationship Medicago sativa SRAP markers.
spellingShingle	Alfalfa genotypes breeding genetic relationship Medicago sativa SRAP markers. Rhouma,Hela Ben Taski-Ajdukovic,Ksenija Zitouna,Nadia Sdouga,Dorra Milic,Dragan Trifi-Farah,Neila Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes
description	ABSTRACT The molecular diversity studies of alfalfa (Medicago sativa L.) germplasm could contribute to a more precise selection of parental populations in many breeding programs. Sequence-related amplified polymorphism (SRAP) markers were used to assess the genetic diversity of 110 individual plants from 13 selected alfalfa cultivars, landraces, and natural populations from Tunisia, Australia, Serbia, and Kazakhstan. Ten polymorphic SRAP primer combinations generated 137 alleles with 0.90 polymorphism information content. The percentage of polymorphic bands per genotype ranged from 57.66% to 70.07% with a mean of 64.29% and overall value of 100%. The genotype Sardi 10 had the highest value for the effective number of alleles; Nei’s gene diversity and Shannon information index, exhibited the highest variability level (Ne = 1.453, He = 0.259, I = 0.381, respectively), whereas the genotype Nera exhibited the lowest variability level (Ne = 1.359, He = 0.211, I = 0.317, respectively). The AMOVA analysis showed that 68% of the variance was within the genotypes; this was in line with the coefficient of genetic differentiation (Gst = 0.370). The genetic relatedness of alfalfa individuals analyzed by the neighbor-joining dendrogram was consistent with the Bayesian model-based clustering approach. The exceptions were individuals from genotypes Slavija and Nera, which were grouped separately by STRUCTURE analyses. These results provide useful information for the management of alfalfa genetic resources and the rational use of local and foreign alfalfa populations in breeding programs focused on the development of new, high-yielding cultivars more adapted to drought conditions in North Africa.
author	Rhouma,Hela Ben Taski-Ajdukovic,Ksenija Zitouna,Nadia Sdouga,Dorra Milic,Dragan Trifi-Farah,Neila
author_facet	Rhouma,Hela Ben Taski-Ajdukovic,Ksenija Zitouna,Nadia Sdouga,Dorra Milic,Dragan Trifi-Farah,Neila
author_sort	Rhouma,Hela Ben
title	Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes
title_short	Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes
title_full	Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes
title_fullStr	Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes
title_full_unstemmed	Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes
title_sort	assessment of the genetic variation in alfalfa genotypes using srap markers for breeding purposes
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000400332
work_keys_str_mv	AT rhoumahelaben assessmentofthegeneticvariationinalfalfagenotypesusingsrapmarkersforbreedingpurposes AT taskiajdukovicksenija assessmentofthegeneticvariationinalfalfagenotypesusingsrapmarkersforbreedingpurposes AT zitounanadia assessmentofthegeneticvariationinalfalfagenotypesusingsrapmarkersforbreedingpurposes AT sdougadorra assessmentofthegeneticvariationinalfalfagenotypesusingsrapmarkersforbreedingpurposes AT milicdragan assessmentofthegeneticvariationinalfalfagenotypesusingsrapmarkersforbreedingpurposes AT trififarahneila assessmentofthegeneticvariationinalfalfagenotypesusingsrapmarkersforbreedingpurposes
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Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes

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