Evidence map›Paper›PMID 28461727›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2017

Genetic variability in Tunisian populations of faba bean (

Feten Rebaa, Ghassen Abid, Marwa Aouida, Souhir Abdelkarim, Ibtissem Aroua, Yordan Muhovski, Jean-Pierre Baudoin, Mahmoud M'hamdi, Khaled Sassi, Moez Jebara

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Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Feten Rebaa *Laboratory of Legumes, Center of Biotechnology of Borj Cedria, University of Tunis El Manar, 901, 2050 Hammam-Lif, Tunisia.
Ghassen Abid *Laboratory of Legumes, Center of Biotechnology of Borj Cedria, University of Tunis El Manar, 901, 2050 Hammam-Lif, Tunisia.
Marwa AouidaLaboratory of Legumes, Center of Biotechnology of Borj Cedria, University of Tunis El Manar, 901, 2050 Hammam-Lif, Tunisia.
Souhir AbdelkarimLaboratory of Legumes, Center of Biotechnology of Borj Cedria, University of Tunis El Manar, 901, 2050 Hammam-Lif, Tunisia.
Ibtissem ArouaLaboratory of Legumes, Center of Biotechnology of Borj Cedria, University of Tunis El Manar, 901, 2050 Hammam-Lif, Tunisia.
Yordan MuhovskiDepartment of Life Sciences, Unit of Biological Engineering, Walloon Agricultural Research Centre, Chaussée de Charleroi, 234, 5030 Gembloux, Belgium.
Jean-Pierre BaudoinLaboratory of Tropical Agroecology, Gembloux Agro-Bio Tech, University of Liège, Passage des Déportés 2, 5030 Gembloux, Belgium.
Mahmoud M'hamdiLaboratory of Vegetable Crops, Higher Agronomic Institute of Chott Mariem (ISA-CM), 47, 4042 Chott-Mariem, Tunisia.
Khaled SassiDepartment of Agronomy and Plant Biotechnology, National Agronomy Institute of Tunisia (INAT), University of Carthage, Avenue Charles Nicolle, 43, 1082 Tunis-Mahrajène, Tunisia.
Moez JebaraLaboratory of Legumes, Center of Biotechnology of Borj Cedria, University of Tunis El Manar, 901, 2050 Hammam-Lif, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic diversity of 21 faba bean populations was examined using morphological and molecular markers. DNA was extracted from 189 individuals and 8 microsatellite markers were genotyped individually in these 21 populations. A total of 53 alleles were obtained in all populations, with an average of 6.62 alleles per locus. The expected and observed heterozygosity was 0.38 and 0.62 respectively. The average polymorphism index content of SSR markers was 0.61, ranging from 0.31 to 0.81. The unweighted pair group method with arithmetic mean dendrogram clustered all the populations into two groups, each for them subdivided into 3 sub-groups according to geographical origin. Morphological variation showed that the populations were not grouped according to their geographical origin. Therefore, patterns of differentiation of morphological traits did not coincide with molecular differentiation, indicating that morphological variation does not reflect genetic subdivision in studied faba bean populations. Analysis of molecular variance revealed high levels of genetic variation (83%) within population and provides a good base for designing genetic improvement programs. The result of Principal Component Analysis (PCA) revealed that three dimensional principal components (PC1, PC2 and PC3) contributed 40.56% of the total variability and accounted with values of 20.64, 11.22 and 8.70%, respectively. Cluster analysis based on PCA indicated three separate groups of populations. The genetic relationships found between the 21 populations samples were the same in both the PCA and STRUCTURE analysis which support the results observed. These data may serve as a foundation for the development of faba bean breeding programs.

Indexed as

Faba bean (Vicia faba L.)Genetic diversityPopulation structureSSR markers

Identifiers

PMID28461727
PMCPMC5391353

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.