Genetic diversity studies in pea (Pisum sativum L.) using simple sequence repeat markers

2013 ◽  
Vol 12 (3) ◽  
pp. 3540-3550 ◽  
Author(s):  
P. Kumari ◽  
N. Basal ◽  
A.K. Singh ◽  
V.P. Rai ◽  
C.P. Srivastava ◽  
...  
Genome ◽  
2005 ◽  
Vol 48 (2) ◽  
pp. 257-272 ◽  
Author(s):  
B Tar'an ◽  
C Zhang ◽  
T Warkentin ◽  
A Tullu ◽  
A Vandenberg

Random amplified polymorphic DNA, simple sequence repeat, and inter-simple sequence repeat markers were used to estimate the genetic relations among 65 pea varieties (Pisum sativum L.) and 21 accessions from wild Pisum subspecies (subsp.) abyssinicum, asiaticum, elatius, transcaucasicum, and var. arvense. Fifty-one of these varieties are currently available for growers in western Canada. Nei and Li's genetic similarity (GS) estimates calculated using the marker data showed that pair-wise comparison values among the 65 varieties ranged from 0.34 to 1.00. GS analysis on varieties grouped according to their originating breeding programs demonstrated that different levels of diversity were maintained at different breeding programs. Unweighted pair-group method arithmetic average cluster analysis and principal coordinate analysis on the marker-based GS grouped the cultivated varieties separately from the wild accessions. The majority of the food and feed varieties were grouped separately from the silage and specialty varieties, regardless of the originating breeding programs. The analysis also revealed some genetically distinct varieties such as Croma, CDC Handel, 1096M-8, and CDC Acer. The relations among the cultivated varieties, as revealed by molecular-marker-based GS, were not significantly correlated with those based on the agronomic characters, suggesting that the 2 systems give different estimates of genetic relations among the varieties. However, on a smaller scale, a consistent subcluster of genotypes was identified on the basis of agronomic characters and their marker-based GS. Furthermore, a number of variety-specific markers were identified in the current study, which could be useful for variety identification. Breeding strategies to maintain or enhance the genetic diversity of future varieties are proposed.Key words: Pisum sativum, molecular markers, genetic relationships, cluster analysis.


2014 ◽  
Vol 13 (3) ◽  
pp. 7852-7863 ◽  
Author(s):  
R.F. Peixoto-Junior ◽  
S. Creste ◽  
M.G.A. Landell ◽  
D.S. Nunes ◽  
A. Sanguino ◽  
...  

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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