scholarly journals Indel marker analysis of putative stress-related genes reveals genetic diversity and differentiation of rice landraces in peninsular Thailand

2020 ◽  
Vol 26 (6) ◽  
pp. 1237-1247
Author(s):  
Sukhuman Whankaew ◽  
Siriluk Kaewmanee ◽  
Kedsirin Ruttajorn ◽  
Amornrat Phongdara
Keyword(s):  
Genetic Diversity ◽  
Indel Marker ◽  
Rice Landraces ◽  
Marker Analysis ◽  
Stress Related Genes

Genetic diversity and structure among Iranian tall fescue populations based on genomic-SSR and EST-SSR marker analysis

2009 ◽  
Vol 282 (1-2) ◽  
pp. 57-70 ◽  
Author(s):  
Majid Sharifi Tehrani ◽  
Mohsen Mardi ◽  
Jamal Sahebi ◽  
Pilar Catalán ◽  
Antonio Díaz-Pérez
Keyword(s):  
Genetic Diversity ◽  
Tall Fescue ◽  
Ssr Marker ◽  
Marker Analysis ◽  
Genetic Diversity And Structure ◽  
Genomic Ssr

Genetic Structure and Diversity among Species of Salacia: An Endangered Medicinal Herb of Western Ghats, India

2019 ◽  
Vol 9 (1) ◽  
pp. 23-33
Author(s):  
Chandrashekhar G Patil ◽  
Sheetal Ganapati Kamat ◽  
R Vasudeva
Keyword(s):  
Genetic Diversity ◽  
Southern China ◽  
Issr Marker ◽  
Group Method ◽  
Population Genetic Differentiation ◽  
Expected Heterozygosity ◽  
Marker Analysis ◽  
Endangered Medicinal Herb ◽  
High Level ◽  
Genetic Structure And Diversity

Salacia is one of the medicinally valuable genus, distributed throughout tropical areas which include India, Sri Lanka, Southern China and other Southern Asian Countries. The genus Salacia is represented by 21 species in India, among them eight species are recorded from the state of Karnataka in the Southern part of India. Despite its pharmaceutical importance, very little information exists about the genetic diversity of Salacia at molecular level. Hence the present study was carried out to evaluate the genetic among six species of Salacia namely S. chinensis, S. malabarica, S. oblonga, S. macrosperma, S. reticulata and S. gambleana with the help of ISSR marker analysis. Dendrogram and genetic distance were generated adopting Unweighted Paired Group Method with Arithmetic mean (UPGMA) in the NTSYS-pc software. Basic genetic parameters were calculated by analysing the genetic data with Pop gene 1.32 and GenAlEx 6.2 software. The overall polymorphism across the ten primers screened revealed 26 % polymorphism. A 60% polymorphism was scored for the primer UBC 841, whereas, no polymorphism was observed for primer UBC 840 and ISSR 6. The average observed heterozygosity was more than expected heterozygosity. Observed heterozygosity (Ho) ranged from 0.15 (UBC 841) to 0.38 (ISSR 6) with an average of 0.25, whereas expected heterozygosity (He) ranged from 0.10 (UBC 843) to 0.35 (ISSR 6) with an average of 0.23 for Salacia species. The higher heterozygosity pointed towards increased genetic diversity amongst the species. ISSR marker analysis showed high level of inter and intra population genetic differentiation.

scholarly journals Molecular Diversity Analysis in Boro Rice (Oryza sativa L.) Landraces using SSR Markers

2021 ◽  
pp. 36-48
Author(s):  
Farhana Afrin Vabna ◽  
Mohammad Zahidul Islam ◽  
Md. Ferdous Rezwan Khan Prince ◽  
Md. Ekramul Hoque
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Molecular Diversity ◽  
Genetic Relationships ◽  
Group Method ◽  
Diversity Analysis ◽  
Average Value ◽  
Rice Landraces ◽  
Boro Rice ◽  
Research Institute

Aims: The aim of the study was to determine the genetic diversity of twenty four Boro rice landraces using rice genome specific twelve well known SSR markers. Study Design: Genomic DNA extraction, PCR amplification, Polyacrylamide gel electrophoresis (PAGE) and data analysis-these steps were followed to perform the research work. Data was analysed with the help of following software; POWERMAKER version 3.25, AlphaEaseFC (Alpha Innotech Corporation) version 4.0. UPGMA dendrogram was constructed using MEGA 5.1 software. Place and Duration of Study: The study was conducted at the Genetic Resources and Seed Division (GRSD), Bangladesh Rice Research Institute (BRRI), Joydebpur, Gazipur, Bangladesh during the period of November 2017 to March 2018. Methodology: Simple Sequence Repeat (SSR) markers were used to assay 24 landraces of Boro rice collected from the Gene Bank of Bangladesh Rice Research Institute (BRRI). Results: A total fifty four (54) alleles were detected, out of which forty five (45) polymorphic alleles were identified. The Polymorphic Information Content (PIC) of SSR markers ranged from 0.08 (RM447) to 0.84 (RM206) with an average value of PIC = 0.49. Gene diversity ranges from 0.08 (RM447) to 0.86 (RM206) with an average value of 0.52. The RM206 marker can be considered as the best marker among the studied markers for 24 rice landraces. Dendrogram based on Nei’s genetic distance using Unweighted Pair Group Method of Arithmetic Mean (UPGMA) indicated the segregation of 24 genotypes into three main clusters. Conclusion: The result revealed that SSR markers are very effective tools in the study of genetic diversity and genetic relationships and this result can be conveniently used for further molecular diversity analysis of rice genotypes to identify diverse parent for the development of high yielding variety in rice.

scholarly journals Genetic diversity in cultivated carioca common beans based on molecular marker analysis

2011 ◽  
Vol 34 (1) ◽  
pp. 88-102 ◽  
Author(s):  
Juliana Morini Küpper Cardoso Perseguini ◽  
Alisson Fernando Chioratto ◽  
Maria Imaculada Zucchi ◽  
Carlos Augusto Colombo ◽  
Sérgio Augusto Moraes Carbonell ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Molecular Marker ◽  
Common Beans ◽  
Marker Analysis ◽  
Molecular Marker Analysis

scholarly journals Phenotypic and molecular marker analysis uncovers the genetic diversity of the grass Stenotaphrum secundatum

BMC Genetics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Ying Luo ◽  
Xiujie Zhang ◽  
Jiahong Xu ◽  
Yao Zheng ◽  
Shouqin Pu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Molecular Marker ◽  
Stenotaphrum Secundatum ◽  
Marker Analysis ◽  
Molecular Marker Analysis

scholarly journals Analysis of Genetic Diversity and Population Structure of Some Bangladeshi Rice Landraces and HYV

2012 ◽  
Vol 4 (3) ◽  
pp. 757-767 ◽  
Author(s):  
M. M. Hassan ◽  
A. K. M. Shamsuddin ◽  
M. M. Islam ◽  
K. Khatun ◽  
J. Halder
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Distance ◽  
Gene Diversity ◽  
Allele Number ◽  
Rice Landraces ◽  
Efficient Management ◽  
Ssr Loci ◽  
Pattern Of Variation ◽  
Rice Improvement

Information on the patterns of genetic variation and population structure is essential for rational use and efficient management of germplasms. It helps in monitoring germplasm and can also be used to predict potential genetic gains. Therefore, in the present study genetic diversity of 59 rice genotypes were assessed using 8 simple sequence repeat (SSR) primers. By the DNA profiling, a total of 114 alleles were detected. Allele number per/locus ranged from 9 to 27, with an average of 14.25. Average polymorphism information content (PIC) value was 0.857 with lowest 0.767 to highest 0.857. Mean gene diversity over all SSR loci was 0.870 with a range from 0.792 to 0.948. Fst values for each locus varied from 0.071 to 0.262. Genetic distance between the variety pair ranged from 0.33 to 1.0. The lowest genetic distance was found between Rajashili and Kumragori (2). Cluster and principal coordinate analysis (PCoA) analysis revealed similar pattern of variation. Marker RM11300 was found most polymorphic and robust among the accessions and can be widely used for rice germplasm characterization. The exclusive variability and unique feature of germplasm found in this study can be a gateway for both domestic and global rice improvement.© 2012 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.doi: http://dx.doi.org/10.3329/jsr.v4i3.10416 J. Sci. Res. 4 (3), 757-767 (2012)

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