scholarly journals ANALYSIS OF GENETIC DIVERSITY IN TWELVE CULTIVARS OF PEA BASED ON MORPHOLOGICAL AND SIMPLE SEQUENCE REPEAT MARKERS

2018 ◽  
Vol 19 (2) ◽  
pp. 57
Author(s):  
Brijesh Kumar Singh ◽  
Monoj Sutradhar ◽  
Amit Kumar Singh ◽  
Ajay Kumar Singh ◽  
Rajendra Prakash Vyas
Keyword(s):  
Genetic Diversity ◽  
Total Variation ◽  
Simple Sequence Repeat ◽  
Diversity Index ◽  
Polymorphic Information Content ◽  
Resolving Power ◽  
Sequence Repeat ◽  
Simple Sequence Repeat Markers ◽  
Simple Sequence ◽  
Number Of Seeds

<p class="abstrakinggris"><span class="judul"><span>Pea</span></span><span class="judul"><em><span>(Pisum sativum </span></em></span><span class="judul"><span>L<em>.)</em></span></span><span class="judul"><span>is the second most important legume crop worldwide after chickpea</span></span><span class="judul"><span> (</span></span><span class="judul"><em><span>Cicer arietinum </span></em></span><span class="judul"><span>L</span></span><span class="judul"><span>.) </span></span><span class="judul"><span>and valuable resources for their genetic improvement. This study aimed to analyze genetic diversity of pea cultivars through morphological and molecular markers. The present investigation was carried out with 12 pea cultivars using 28 simple sequence repeat markers. A total of 60 polymorphic bands with an average of 2.31 bands per primer were obtained. The polymorphic information content, diversity index and resolving power were ranged from 0.50 to 0.33, 0.61 to 0.86 and 0.44 to 1.0 with an average of 0.46, 0.73 and 0.76, respectively. The 12 pea cultivars were grouped into 3 clusters obtained from cluster analysis with a Jaccardd’s similarity coefficient range of 0.47-0.78, indicating the sufficient genetic divergence among these cultivars of pea. The principal component analysis showed that first three principal components explained 86.97% of the total variation, suggesting the contribution of quantitative traits in genetic variability. The contribution of 32.59% for number of seeds per plant, stem circumference, number of pods per plant and number of seeds per pod in the PC1 leads to the conclusion that these traits contribute more to the total variation observed in the 12 pea cultivars and would make a good parental stock material. Overall, this SSR analysis complements morphological characters of initial selection of these pea germplasms for future breeding program.</span></span></p>

scholarly journals Simple Sequence Repeat Markers Reveal Genetic Diversity Within and among Landrace Collections of Citron and Dessert Watermelon from South Africa

2016 ◽  
Vol 141 (6) ◽  
pp. 598-608 ◽  
Author(s):  
Jacob Mashilo ◽  
Hussein Shimelis ◽  
Alfred Odindo ◽  
Beyene Amelework
Keyword(s):  
South Africa ◽  
Genetic Diversity ◽  
Simple Sequence Repeat ◽  
Polymorphic Information Content ◽  
Citrullus Lanatus ◽  
Sequence Repeat ◽  
Simple Sequence Repeat Markers ◽  
The Mean ◽  
Two Populations ◽  
Simple Sequence

Genetic diversity analysis is fundamental for effective breeding and genetic conservation. The objective of this study was to determine the genetic diversity present among dessert watermelon (Citrullus lanatus var. lanatus) and citron watermelon (C. lanatus var. citroides) landraces widely grown in South Africa and to select genetically diverse and complimentary genotypes for strategic breeding or conservation. Thirty-one dessert watermelon and 34 citron watermelon landraces were genotyped using 10 polymorphic simple sequence repeat markers. The number of alleles detected per marker ranged from 2 to 23 alleles, with a mean of 13.5 alleles. A total of 135 putative alleles were amplified from sampled watermelon populations. Number of effective alleles ranged from 1.99 to 10.88 alleles with a mean of 5.83 alleles. The mean observed and expected heterozygosity were 0.50 and 0.79, respectively. The mean polymorphic information content was 0.79. Cluster and principal coordinate analyses grouped the two watermelon populations into two separate clusters. The two populations were genetically differentiated with low gene flow, suggesting the presence of high genetic differences between the two populations. Overall, the study established the existence of considerable genetic diversity among South African grown dessert and citron watermelon landraces. Unique dessert watermelon landraces such as SWM-39, SWM-24, SWM-01, SWM-40, SWM-18, SWM-36, and SWM-26; and citron watermelon genotypes including WWM-24, WWM-37, WWM-28, WWM-34, WWM-02, WWM-22, WWM-50, and WWM-36 were selected based on their high dissimilarity index. These could be useful for breeding and systematic conservation.

scholarly journals Genetic Diversity of Seashore Paspalum Revealed with Simple Sequence Repeat Markers

2020 ◽  
Vol 145 (4) ◽  
pp. 228-235
Author(s):  
Qing Shen ◽  
Hua Bian ◽  
Hai-yan Wei ◽  
Li Liao ◽  
Zhi-yong Wang ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Simple Sequence Repeat ◽  
Ssr Marker ◽  
Diversity Index ◽  
Polymorphic Information Content ◽  
Principal Component ◽  
Sequence Repeat ◽  
Similarity Coefficients ◽  
Seashore Paspalum ◽  
Simple Sequence

Seashore paspalum (Paspalum vaginatum) is an important warm-season turfgrass distributed in tropical and coastal areas. It has excellent resistance to abiotic stresses, such as salinity, drought, and low temperature. However, the research on genetic diversity of local P. vaginatum collections from China is limited. In this study, the genetic diversity among 58 P. vaginatum accessions from four different provinces in China and four cultivars were assessed using simple sequence repeat (SSR) markers. The results indicated that a total of 45 alleles were detected by 19 polymorphic markers, with a range of 2 to 4 and an average of 2.4 alleles per marker. The genetic similarity coefficients between each pair of the 58 P. vaginatum accessions and four cultivars ranged from 0.51 to 1.00, with an average of 0.77. The range of variation of Shannon diversity index of each SSR marker was 0.047 to 1.075, with an average of 0.486. The polymorphic information content of each SSR marker varies from 0.016 to 0.577, with an average of 0.249. The results of cluster analysis and principal component analysis (PCA) showed that 58 P. vaginatum accessions and four cultivars were divided into four groups. These results provide the theoretical basis for the genetic diversity assessments and molecular marker–assisted breeding of P. vaginatum species.

scholarly journals Genetic diversity among Puccinia melanocephala isolates from Brazil assessed using simple sequence repeat markers

2014 ◽  
Vol 13 (3) ◽  
pp. 7852-7863 ◽  
Author(s):  
R.F. Peixoto-Junior ◽  
S. Creste ◽  
M.G.A. Landell ◽  
D.S. Nunes ◽  
A. Sanguino ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Simple Sequence Repeat ◽  
Sequence Repeat ◽  
Simple Sequence Repeat Markers ◽  
Puccinia Melanocephala ◽  
Simple Sequence

scholarly journals Genetic diversity of Pongamia pinnata in Bali, Indonesia using Inter Simple Sequence Repeat markers

2019 ◽  
Vol 20 (8) ◽  
Author(s):  
Ni Luh Arpiwi ◽  
I Gusti Ayu Sugi Wahyuni ◽  
I Ketut Muksin
Keyword(s):  
Genetic Diversity ◽  
Genetic Distance ◽  
Simple Sequence Repeat ◽  
Inter Simple Sequence Repeat ◽  
Pongamia Pinnata ◽  
Sequence Repeat ◽  
Binary Matrix ◽  
Simple Sequence Repeat Markers ◽  
Group I ◽  
Simple Sequence

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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