Genetic Diversity of Faba Bean Germplasms in Qinghai and Core Germplasm Identified based on AFLP Analysis

Liu, Yujiao; Hou, Wanwei

doi:10.5376/lgg.2010.01.0001

Cited by 12 publications

(13 citation statements)

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“…Therefore, we suggest the importance of introducing elite faba bean accessions to enrich the genetic foundation of breeding of faba bean in Tunisia. Similar results were approved by Liu and Hou (2010) which suggested that introducing elite foreign germplasm to enrich genetic foundation of breeding of faba bean in Qinghai should be necessary.…”

Section: Discussionsupporting

confidence: 85%

“…The average number of alleles per locus (5.94) was higher compared to AFLP (1.45) and SSAP markers (1.68) (Liu and Hou 2010;Ouji et al 2012). These suggest that SSR markers are a very suitable tool for assessing genetic diversity of faba bean.…”

Section: Discussionmentioning

confidence: 93%

“…The rapid development of molecular markers has provided new tools for evaluating germplasm and assessing the genetic diversity and population structure of plant species (Baranski et al 2012;Boczkowska et al 2012;Cao et al 2012;Mir et al 2012;Roy et al 2012;Sardos et al 2012;Wang and Li 2012). Different types of markers such as isozymes, random amplification of polymorphic DNAs (RAPDs), restriction fragment length polymorphisms (RFLPs), target region amplification polymorphisms (TRAPs), sequence-specific amplification polymorphisms (SSAPs), and amplified fragment length polymorphisms (AFLPs) have already been used for the assessment of genetic variability and diversity and to perform fingerprinting of Vicia species and V. faba L. accessions (Van de Ven et al 1990;Przybylska et al 1998;Gresta et al 2010;Kwon et al 2010;Liu and Hou 2010;Ouji et al 2012;Waly et al 2012).…”

Section: Introductionmentioning

confidence: 99%

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Genetic Relationship and Diversity Analysis of Faba Bean (Vicia Faba L. var. Minor) Genetic Resources Using Morphological and Microsatellite Molecular Markers

Abid¹,

Mingeot

Udupa³

et al. 2015

Plant Mol Biol Rep

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Assessment of genetic diversity is an essential component in germplasm characterization and utilization. Molecular markers serve as a valuable tool to assess the genetic variation and germplasm identification, which play a key role for faba (Vicia faba L.) bean breeding. In this study, we analyzed the genetic diversity of faba bean accessions based on simple sequence repeats (SSRs) and morphological traits. Forty-six faba bean accessions, originating from different countries and from the ICARDA breeding program, were evaluated by using 15 morphological and agronomic traits and 17 simple sequence repeat (SSR) loci. Significant differences among accessions for the 15 morphological descriptors were observed. Analysis by SSR markers showed a high genetic diversity among the accessions: All SSRs showed polymorphism, and 101 alleles were revealed for all accessions. The number of alleles at each locus ranged from 2 to 10, with an average of 5.94 alleles per marker, and the polymorphic information content (PIC) values ranged from 0.38 to 0.84 with a mean of 0.69. Expected heterozygosity (He), observed heterozygosity (Ho), unbiased expected heterozygosity (UHe), and Shannon's information index (I) showed existence of high genetic variation between accessions from different pedigree. Analyses of genetic distance of the accessions separated the accessions into two groups and seven and five subgroups according to morphological and SSR analysis, respectively. Principal component analysis (PCA) of the SSR markers showed that the first two principal components (PCs) explained a total of 43.90 % of the genetic variation and allowed to distinguish three groups of accessions. Regardless of the method of analysis, Tunisian cultivars are grouped together. For the rest of the accessions, the geographical origin did not seem to be the main factor for structuring the variability of the studied accessions. Elite accessions from the ICARDA faba bean program differed from others and clustered together. The results obtained suggested that the faba bean microsatellite markers can be used to efficiently distinguish faba bean genotypes and to estimate their genetic diversity.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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Genetic Relationship and Diversity Analysis of Faba Bean (Vicia Faba L. var. Minor) Genetic Resources Using Morphological and Microsatellite Molecular Markers

Abid¹,

Mingeot

Udupa³

et al. 2015

Plant Mol Biol Rep

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“…Similar results were commented by Terzopoulos and Bebeli (2008) which suggested introducing some Greek faba bean populations as sources of lines appropriate for the development of synthetic varieties. Liu and Hou (2010) suggested that the classification results of germplasm resources were not only related to the types of markers but also were closely linked to classification method or foundation. STRUCTURE analysis did not show any geographical distribution pattern and suggested the existence of three major groups (Fig.…”

Section: Discussionmentioning

confidence: 99%

Genetic variability in Tunisian populations of faba bean (Vicia faba L. var. major) assessed by morphological and SSR markers

Rebaa¹,

Abid²,

Aouida³

et al. 2017

Physiol Mol Biol Plants

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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.

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“…Alghamdi et al (2012a) comment that the genetic diversity of faba bean has been studied with different molecular markers, as it is reported by Link et al (1995), who studied the genetic variability of accessions of faba bean from the Mediterranean Sea and Europe by means of Random Amplified Polymorphic DNA, detecting variability; Kwon et al (2010) analyzed the genetic diversity and relation between 151 accessions by means of Target Region Amplification Polymorphism (TRAP) finding 55.2% of polymorphism, sufficient to classify the genotypes; Liu and Hou (2010) studied the genetic diversity of germplasm from Western China by means of Amplified Fragment Length Polymorphism (AFLP) markers finding seven groups that represented 80% of the assessed genetic information. Gong et al (2010) generated and characterized 11 new EST type sequences derived from faba bean microsatellites; in like manner, Gong et al(2011) analyzed the genetic diversity of 5031 faba bean accessions from Europe and China, indicating that only 8.36% of the sequences had Simple Sequence Repeats (SSR); Ouji et al (2012) examined nine populations of faba bean from Tunisia by means of Simple Sequence Amplified Polymorphism (SSAP), finding broader diversity in the populations than between them; Alghamdi et al (2012b) studied 58 faba bean genotypes using Sequence Related Amplified Polymorphism (SRAP), detecting broad genetic variability between the assessed accessions; Akash and Myers (2012) developed Expressed Sequence Tags and Simple Sequence Repeats (EST-SSRs) to validate the diversity analysis of 20 faba bean populations from Jordan; Ma et al (2013) used SSR markers to produce related maps between faba bean varieties native to China, these markers can be applied in Quantitative Trait Loci (QSL) and selection of assisted markers.…”

Section: Introductionmentioning

confidence: 94%

Genetic variability analysis of faba bean accessions using Inter-simple sequence repeat (ISSR) markers

Salazar-Laureles¹,

Pérez-López²,

González-Huerta³

et al. 2015

Chilean J. Agric. Res.

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Faba bean crop (Vicia faba L.) is important in Mexico, it is a legume rich in protein and its market price is higher than those of maize and bean; however, in recent years there has been a significant decline in its performance. The aim of this study was to determine the genetic variability and analyze the relationship between 39 faba bean accessions using inter simple sequence repeats (ISSR) markers. Accessions of faba bean were collected according to their best phenotypic characteristics, later they were molecularly characterized. With the obtained band registration, a binary data matrix was built to perform the corresponding statistical analysis. The utilized ISSR markers produced 142 fixed and repeatable bands, of which 134 were polymorphic. The values of resolution power (Rp), polymorphic information content (PIC), and marker index (MI), respectively indicated that primer 848 was the most efficient to analyze genetic variability with values of 12.8, 0.40, and 8.06, respectively, followed by primers 857 and ISSR2M. Genetic distances oscillated between 0.38 and 0.83, and verified the groupings observed in the dendrogram, which indicates high variability at the level of DNA among the analyzed genotypes, observing six defined groups according to UPGMA analysis. In the analysis of main components the registered groupings were determined by the origin of the gathering. The use of ISSR markers was efficient to characterize at the level of DNA the assessed bean accessions, indicating the existence of variability, the identified contrasting accessions can be utilized in genetic improvement programs aimed at solving the needs of the producers.

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Genetic Diversity of Faba Bean Germplasms in Qinghai and Core Germplasm Identified based on AFLP Analysis

Cited by 12 publications

References 0 publications

Genetic Relationship and Diversity Analysis of Faba Bean (Vicia Faba L. var. Minor) Genetic Resources Using Morphological and Microsatellite Molecular Markers

Genetic Relationship and Diversity Analysis of Faba Bean (Vicia Faba L. var. Minor) Genetic Resources Using Morphological and Microsatellite Molecular Markers

Genetic variability in Tunisian populations of faba bean (Vicia faba L. var. major) assessed by morphological and SSR markers

Genetic variability analysis of faba bean accessions using Inter-simple sequence repeat (ISSR) markers

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