scholarly journals Evaluation of genetic diversity of durum wheat (Triticum durum desf.) genotypes using inter-simple sequence repeat (ISSR) and caat box-derived polymorphism (CBDP) markers

Genetika ◽  
2020 ◽  
Vol 52 (3) ◽  
pp. 895-909
Author(s):  
Mahmood Aslan-Parviz ◽  
Mansoor Omidi ◽  
Varahram Rashidi ◽  
Alireza Etminan ◽  
Alireza Ahmadzadeh

Evaluation of genetic diversity is the key principal for plant breeding, providing an opportunity to discover novel characters and alleles for breeders. In the present study, 69 durum wheat genotypes were investigated for genetic diversity using several CAAT box-derived polymorphism (CBDP) and inter-simple sequence repeat (ISSR) markers. Twelve CBDP and sixteen ISSR primers amplified a total of 115 and 160 polymorphic fragments with a mean of 9.58 and 10 fragments per primer, respectively. CBDP primers showed the higher mean values for informativeness parameters such as polymorphic information content (PIC), resolving power (Rp) and marker index (MI) in comparison with ISSR primers. The results of analysis of molecular variance (AMOVA) indicated that the highest proportion of genetic variance referred within populations. Furthermore, CBDP primers indicated high values for all genetic parameters. Besides, the highest values of genetic parameters including number of observed (Na) and effective alleles (Ne), Shannon?s information index (I) and Nei?s gene diversity (He) were estimated for Iranian durum wheat landraces. Cluster analysis based on each molecular technique classified all durum wheat genotypes into three main groups, so that the results of principal coordinate analysis (PCoA) supported the grouping patterns. As a result, the grouping pattern observed by ISSR primers was clearer than CBDP primers and grouped all samples based on their origins. However, Mantel?s coefficient correlation test illustrated the higher positive correlation (0.54) between both marker techniques. Hence, the use of these markers in combination with each other to evaluate the genetic diversity is recommended.

2015 ◽  
Vol 38 (5) ◽  
Author(s):  
Padmavati G. Gore ◽  
M. K. Rana ◽  
Kuldeep Tripathi ◽  
Mohar Singh ◽  
I. S. Bisht ◽  
...  

Genetic diversity was assessed in 50 accessions of seven <italic>Lens</italic> species using ISSR markers. The collection included accessions of the cultivated species <italic>L. culinaris</italic> and six wild species, <italic>viz</italic>., <italic>L. culinaris</italic> ssp. <italic>odemensis, L. culinaris</italic> ssp. <italic>orientalis</italic>, <italic>L.</italic> <italic>orientalis, L. nigricans, L. lamottei</italic> and <italic>L. ervoides.</italic> The 23 ISSR primers amplified a total of 368 bands with an average of 16 bands per primer. Maximum number of 20 bands was amplified using each of the primers ISSR-34 and ISSR-835. All the primers were found to be polymorphic. PIC values ranged from 0.02 to 0.80. The primers ISSR-807, ISSR- 809, ISSR- 827, ISSR- 847, ISSR-28 and ISSR- 37 were found to be very useful for analyzing the molecular diversity of the genus <italic>Lens</italic>. Cluster Analysis and Principal Coordinates Analyses placed the 50 accessions into two groups and complemented each other.


2011 ◽  
Vol 347-353 ◽  
pp. 1318-1325 ◽  
Author(s):  
Ting Liu ◽  
Hai Ming Lin

The two main secondary metabolites in Glycyrrhiza Species are Glycyrrhizic acid and liquiritin. They are considered as active ingredients . The content of these compounds showed variation in different species. Standard chemical fingerprints were generated from cultivated Glycyrrhiza uralensis, G. inflate and G. glabra, which could be identification markers. Five efficient inter-simple sequence repeat (ISSR) primers were screened and optimized for detecting the genetic diversity in three cultivated Glycyrrhiza uralensis, G. inflate and G. glabra. By using two characteristic peaks compare with three cultivars, Glycyrrhiza uralensis and G. glabra were bigger similarity than G. inflate. The results is in accordance with the results by ISSR markers. The higher genetic diversity in G. inflate was useful to more broad breeding. Our result suggest that provides an optimized method for assessment genetic diversity of cultivated Glycyrrhiza uralensis, G. inflate and G. glabra using Chemical fingerprint and ISSR markers which is useful for further investigation in breeding.


2019 ◽  
Vol 51 (5) ◽  
Author(s):  
Huifang Cao ◽  
Qiang Lin ◽  
Peiwang Li ◽  
Jingzhen Chen ◽  
Changzhu Li ◽  
...  

2019 ◽  
Vol 20 (8) ◽  
Author(s):  
Ni Luh Arpiwi ◽  
I Gusti Ayu Sugi Wahyuni ◽  
I Ketut Muksin

Abstract. Arpiwi NL, Wahyuni IGAS, Muksin IK. 2019. Genetic diversity of Pongamia pinnata in Bali, Indonesia using Inter Simple Sequence Repeat markers. Biodiversitas 20: 2134-2142. Pongamia pinnata (L.) Pierre is a member of family Leguminosae that produces seed oil for biodiesel feedstock. The aim of the present study was to determine genetic diversity of pongamia trees that grow in Bali using Inter Simple Sequence Repeat (ISSR) markers. This study is important to support the breeding program for the improvement of the biodiesel producing species. Leaf samples were taken from 26 pongamia trees grown on northern and southern coastal areas of Bali. Genomic DNA was isolated from fresh leaves sample and was amplified by Polymerase Chain Reaction (PCR) using 9 ISSR primers. The banding patterns of DNA after PCR were scored and tabulated into a binary matrix. Genetic distance was generated by pairwise distance using composite maximum likelihood. A dendrogram was constructed using Unweighted Pair Group Method Arithmetic (UPGMA) method. The binary matrix was further analyzed for Nonmetric Multidimensional Scaling (NMDS) with Primer E V.6 software. DNA concentrations ranged from 98.59-100.55 ng/μL with sufficient quality for PCR. The number of alleles for 9 primers was 43, the number of the polymorphic band was 35, and the number of monomorphic bands was 8. Percentage of polymorphism ranged from 50 to 100%. Cluster analysis of 26 DNA of pongamia trees showed that the trees were grouped into two, namely group I and II. Group I consisted of two trees only, namely Uma Anyar 1 and Penarukan 1. Group II consisted of 24 pongamia trees which were divided into 3 subgroups, namely IIA, IIB, and IIC with close genetic distance. Analysis of NMDS supported cluster analysis that 23 out of 26 pongamia trees had close genetic distance, and possibly they come from a similar source. Genetic diversity of pongamia in Bali needs to be widen possibly by the introduction of new planting materials from across Indonesia or seed procurement from different sources.


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