Literature DB >> 26895027

Endemic insular and coastal Tunisian date palm genetic diversity.

Salwa Zehdi-Azouzi1, Emira Cherif2,3, Karim Guenni2, Ahmed Ben Abdelkrim2, Aymen Bermil2, Soumaya Rhouma2, Mohamed Ben Salah4, Sylvain Santoni5, Jean Christophe Pintaud3, Frédérique Aberlenc-Bertossi3, Amel Salhi Hannachi2.   

Abstract

The breeding of crop species relies on the valorisation of ancestral or wild varieties to enrich the cultivated germplasm. The Tunisian date palm genetic patrimony is being threatened by diversity loss and global climate change. We have conducted a genetic study to evaluate the potential of spontaneous coastal resources to improve the currently exploited Tunisian date palm genetic pool. Eighteen microsatellite loci of Phoenix dactylifera L. were used to compare the genetic diversity of coastal accessions from Kerkennah, Djerba, Gabès and continental date palm accessions from Tozeur. A collection of 105 date palms from the four regions was analysed. This study has provided us with an extensive understanding of the local genetic diversity and its distribution. The coastal date palm genotypes exhibit a high and specific genetic diversity. These genotypes are certainly an untapped reservoir of agronomically important genes to improve cultivated germplasm in continental date palm.

Entities:  

Keywords:  Genetic diversity; Phoenix dactylifera L.; SSR; Spontaneous genotypes; Tunisia

Mesh:

Substances:

Year:  2016        PMID: 26895027     DOI: 10.1007/s10709-016-9888-z

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


  16 in total

1.  Inference of population structure using multilocus genotype data.

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Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

Authors:  G Evanno; S Regnaut; J Goudet
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

3.  CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure.

Authors:  Mattias Jakobsson; Noah A Rosenberg
Journal:  Bioinformatics       Date:  2007-05-07       Impact factor: 6.937

Review 4.  A unified approach to study hypervariable polymorphisms: statistical considerations of determining relatedness and population distances.

Authors:  R Chakraborty; L Jin
Journal:  EXS       Date:  1993

5.  Phylogenetic utility of the nuclear genes AGAMOUS 1 and PHYTOCHROME B in palms (Arecaceae): an example within Bactridinae.

Authors:  Bertha Ludeña; Nathalie Chabrillange; Frédérique Aberlenc-Bertossi; Hélène Adam; James W Tregear; Jean-Christophe Pintaud
Journal:  Ann Bot       Date:  2011-08-09       Impact factor: 4.357

6.  De novo genome sequencing and comparative genomics of date palm (Phoenix dactylifera).

Authors:  Eman K Al-Dous; Binu George; Maryam E Al-Mahmoud; Moneera Y Al-Jaber; Hao Wang; Yasmeen M Salameh; Eman K Al-Azwani; Srinivasa Chaluvadi; Ana C Pontaroli; Jeremy DeBarry; Vincent Arondel; John Ohlrogge; Imad J Saie; Khaled M Suliman-Elmeer; Jeffrey L Bennetzen; Robert R Kruegger; Joel A Malek
Journal:  Nat Biotechnol       Date:  2011-05-29       Impact factor: 54.908

7.  Genetic diversity of Tunisian date palms (Phoenixdactylifera L.) revealed by nuclear microsatellite polymprohism.

Authors:  Salwa Zehdi; Mokhtar Trifi; Norbert Billotte; Mohamed Marrakchi; Jean Christophe Pintaud
Journal:  Hereditas       Date:  2004       Impact factor: 3.271

8.  Microsatellite markers reveal high genetic diversity in date palm (Phoenix dactylifera L.) germplasm from Sudan.

Authors:  Sakina Elshibli; Helena Korpelainen
Journal:  Genetica       Date:  2007-11-29       Impact factor: 1.082

9.  Beginnings of fruit growing in the old world.

Authors:  D Zohary; P Spiegel-Roy
Journal:  Science       Date:  1975-01-31       Impact factor: 47.728

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

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