The study of genetic diversity in a minicore collection of durum wheat genotypes using agro-morphological traits and molecular markers

Assessment of genetic diversity among chickpea (Cicer arietinum L.) germplasm at the morphological and molecular levels is fundamental for chickpea breeding and conservation of genetic resources. Genetic variability of 46 chickpea genotypes including 42 Algerian genotypes and four control varieties was evaluated by using 15 agro-morphological traits. Eleven molecular markers including nine simple sequence repeats, one sequence characterised amplified region (SCY17) and one gene-specific (CaETR4) were used to characterise the 46 genotypes and eight references varieties added for disease resistance or susceptibility. Genotypes resistant to ascochyta blight were identified by the markers SCY17 and CaETR4 present together. High diversity was observed for all measured morphological traits between genotypes. Yield components, plant height, phenological traits and growth habit were the traits most involved in variation among genotypes and were partitioned into four groups by using principal component analysis. All molecular markers were polymorphic. In total, 91 alleles were obtained ranging from 2 to 21 per locus with average of 8.27 alleles per marker. Polymorphism information content ranged from 0.58 to 0.99 with an average value of 0.87. UPGMA clustering and Bayesian-based model structure analysis grouped genotypes into two clusters, but the distribution of the genotypes by cluster was not the same for the two analyses. According to the presence of markers indicating resistance to ascochyta blight (SCY17 and CaETR4), three resistant genotypes (FLIP 82-C92, ILC 6909, ILC 7241) were selected and should be tested in controlled conditions for confirmation. Considering the narrow diversity of cultivated chickpea, the Algerian genotypes can be considered as interesting for future breeding programs.

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Assessing genetic variation for heat stress tolerance in Indian bread wheat genotypes using morpho-physiological traits and molecular markers

Plant Genetic Resources ◽

10.1017/s1479262116000241 ◽

2016 ◽

Vol 15 (6) ◽

pp. 539-547 ◽

Cited By ~ 5

Author(s):

P. Sharma ◽

S. Sareen ◽

M. Saini ◽

Shefali

Keyword(s):

Genetic Diversity ◽

Genetic Variation ◽

Heat Stress ◽

Molecular Markers ◽

Heat Tolerance ◽

Polymorphic Information Content ◽

Physiological Traits ◽

Phenotypic Traits ◽

Phenotypic Data ◽

Wheat Genotypes

AbstractHeat stress greatly limits the productivity of wheat in many regions. Knowledge on the degree of genetic diversity of wheat varieties along with their selective traits will facilitate the development of high yielding, stress-tolerant wheat cultivar. The objective of this study were to determine genetic variation in morpho-physiological traits associated with heat tolerance in 30 diverse wheat genotypes and to examine genetic diversity and relationship among the genotypes varying heat tolerance using molecular markers. Phenotypic data of 15 traits were evaluated for heat tolerance under non-stress and stress conditions for two consecutive years. A positive and significant correlation among cell membrane stability, canopy temperature depression, biomass, susceptibility index and grain yield was shown. Genetic diversity assessed by 41 polymorphic simple sequence repeat (SSR) markers was compared with diversity evaluated for 15 phenotypic traits averaged over stress and non-stress field conditions. The mean polymorphic information content for SSR value was 0.38 with range of 0.12–0.75. Based on morpho-physiological traits and genotypic data, three groups were obtained based on their tolerance (HHT, MHT and LHT) levels. Analysis of molecular variance explained 91.7% of the total variation could be due to variance within the heat tolerance genotypes. Genetic diversity among HHT was higher than LHT genotypes and HHT genotypes were distributed among all cluster implied that genetic basis of heat tolerance in these genotypes was different thereby enabling the wheat breeders to combine these diverse sources of genetic variation to improve heat tolerance in wheat breeding programme.

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Assessment of genetic diversity among wheat somaclonal variants lines using morphological traits and molecular markers

AFRICAN JOURNAL OF BIOTECHNOLOGY ◽

10.5897/ajb11.1759 ◽

2011 ◽

Vol 10 (66) ◽

Cited By ~ 2

Author(s):

Abouzied

Keyword(s):

Genetic Diversity ◽

Molecular Markers ◽

Morphological Traits ◽

Somaclonal Variants

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Characterization of genetic diversity of cactus species (Opuntia spp.) in Morocco by morphological traits and molecular markers

Current Agriculture Research Journal ◽

10.12944/carj.5.2.01 ◽

2017 ◽

Vol 5 (2) ◽

pp. 149-159 ◽

Cited By ~ 1

Author(s):

Y. El Kharrassi ◽

M.A. Mazri ◽

M.H. Sedra ◽

A. Mabrouk ◽

B . Nasser ◽

...

Keyword(s):

Genetic Diversity ◽

Molecular Markers ◽

Morphological Traits ◽

Polymorphic Information Content ◽

Random Amplified Polymorphic Dna ◽

Rapd Marker ◽

Group Method ◽

Rapd Primer ◽

Opuntia Spp ◽

Issr Primers

The genetic diversity within and among 124 accessions of Opuntia spp. collected from different regions of Morocco was assessed using morphological descriptors and molecular markers. Based on 10 morphological traits, the accessions were separated into 3 main clusters; each cluster was containing accessions from different regions and species. Polymerase chain reaction (PCR) was then performed on 22 accessions from different regions and species, with 10 inter-simple sequence repeat (ISSR) primers and one random amplified polymorphic DNA (RAPD) primer. ISSR primers produced 66 bands overall, 64 (96.9 %) of which were polymorphic while 6 bands were generated by the RAPD marker, all polymorphic. The polymorphic information content (PIC) values ranged from 0.62 to 0.97, with an average of 0.82. The dendrogram of genetic differences generated using the unweighted pair-group method using arithmetic averages (UPGMA) method showed 7 different clusters at a similarity of 0.76, which was confirmed by the principal component analysis (PCA). The main conclusion of our work is the high genetic similarity between Opuntia ficus indica and Opuntia megacantha species in Morocco. Our results will be useful for plant breeding and genetic resource conservation programs.

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Genetic diversity in maize dent landraces assessed by morphological and molecular markers

Genetika ◽

10.2298/gensr1303811r ◽

2013 ◽

Vol 45 (3) ◽

pp. 811-824 ◽

Cited By ~ 4

Author(s):

Danijela Ristic ◽

Vojka Babic ◽

Violeta Andjelkovic ◽

Jelena Vancetovic ◽

Snezana Mladenovic-Drinic ◽

...

Keyword(s):

Genetic Diversity ◽

Cluster Analysis ◽

Molecular Markers ◽

Genetic Distance ◽

Morphological Traits ◽

Mean Value ◽

Ecological Data ◽

Phenotypic Analysis ◽

High Level ◽

Maize Research Institute

Maize Research Institute ?Zemun Polje? genebank maintains a collection of landraces grouped into 18 agro-ecological collected from ex-Yugoslavia territories. The application and comparison of different marker systems are important for the characterization and use of maize landraces in breeding program, as potential sources of desirable traits. In this study, 15 morphological traits, 7 RAPD primers and 10 SSR primer pairs were applied to i) to determine genetic distance between 21 maize dent landraces and ii) compare results obtained on morphological and molecular markers. Phenotypic analysis showed high level of heterogeneity between landraces. Higher level of genetic diversity was obtained with SSR than with RAPD. Genetic distance mean value for RAPD data was 0.35 i.e. for SSR 0.48. Based on the morphological traits and molecular markers, unweighted pairgroup method (UPGMA) analysis was applied for cluster analysis, using statistical NTSYSpc program package. Cluster analysis of morphological and molecular markers distances did not show the same population grouping. Better agreement with agro-ecological data was obtained with RAPD markers. Correlations between dissimilarity matrices for different types of markers were low. Data obtained in this work could be useful for further study of a larger number of landraces, and conservation of genetic resources and their genetic diversity.

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Morphological variability and genetic diversity of wheat genotypes grown on saline soil and identification of new promising molecular markers associated with salinity tolerance

Journal of Plant Interactions ◽

10.1080/17429145.2019.1672815 ◽

2019 ◽

Vol 14 (1) ◽

pp. 564-571 ◽

Cited By ~ 2

Author(s):

Adel Ahmed Elshafei ◽

Samy Abd El-Aziz Afiah ◽

Abdullah Abdulaziz Al-Doss ◽

Eid Ibrahim Ibrahim

Keyword(s):

Genetic Diversity ◽

Molecular Markers ◽

Salinity Tolerance ◽

Saline Soil ◽

Morphological Variability ◽

Wheat Genotypes

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Genetic diversity of Iranian Aegilops tauschii Coss. using microsatellite molecular markers and morphological traits

Molecular Biology Reports ◽

10.1007/s11033-009-9931-6 ◽

2009 ◽

Vol 37 (7) ◽

pp. 3413-3420 ◽

Cited By ~ 16

Author(s):

Zahra Tahernezhad ◽

Mohammad Javad Zamani ◽

Mahmood Solouki ◽

Mehdi Zahravi ◽

Abbas Ali Imamjomeh ◽

...

Keyword(s):

Genetic Diversity ◽

Molecular Markers ◽

Morphological Traits ◽

Aegilops Tauschii

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Genetic diversity of Albanian pea (Pisum sativum L.) landraces assessed by morphological traits and molecular markers

Czech Journal of Genetics and Plant Breeding ◽

10.17221/227/2013-cjgpb ◽

2014 ◽

Vol 50 (No. 2) ◽

pp. 177-184 ◽

Cited By ~ 7

Author(s):

B. Gixhari ◽

M. Pavelková ◽

H. Ismaili ◽

H. Vrapi ◽

A. Jaupi ◽

...

Keyword(s):

Genetic Diversity ◽

Cluster Analysis ◽

Molecular Markers ◽

Morphological Traits ◽

Principal Component ◽

Morphological Characters ◽

Insertion Polymorphism ◽

Growing Seasons ◽

And Cluster Analysis

In order to investigate the genetic diversity present in the pea germplasm stored in the Albanian genebank, we analyzed 28 local pea genotypes of Albanian origins for 23 quantitative morphological traits, as well as 14 retrotransposon-based insertion polymorphism (RBIP) molecular markers. The study of morphological characters carried out during three growing seasons (2010, 2011 and 2012) had the objective of characterization of traits useful in breeding programs. RBIP marker analysis revealed the genetic similarity in range from 0.06 to 0.45. ANOVA, principal component analysis (PCA) and cluster analysis was used to visualize the association among different traits. Most of the quantitative morphological traits showed significant differences. PCA and cluster analysis (Ward’s method) carried out for morphological traits divided the local pea genotypes into three clusters. Finally, the study identified the agronomicaly important traits which will facilitate the maintenance and agronomic evaluation of the collections.

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