scholarly journals Population structure and genetic diversity analysis in Sali (Oryza sativa) rice germplasm of Assam using microsatellite markers

2021 ◽  
Vol 58 (2) ◽  
pp. 279-286
Author(s):  
Sandhani Saikia ◽  
Pratap Jyoti Handique ◽  
Mahendra K Modi
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Genetic Improvement ◽  
Crop Improvement ◽  
Mean Value ◽  
Diversity Analysis ◽  
Rice Cultivars ◽  
Improvement Program ◽  
Information Index ◽  
Improvement Programs

Genetic diversity is the source of novel allelic combinations that can be efficiently utilized in any crop improvement program. To facilitate future crop improvement programs in rice, a study was designed to identify the underlying genetic variations in the Sali rice germplasms of Assam using SSR markers. The 129 SSR markers that were used in the study amplified a total of 765 fragments with an average of 5.93 alleles per locus. The Shannon's Information Index was found to be in the range from 0.533 to 1.786. The Polymorphism Information Content (PIC) fell into the range from 0.304 to 0.691 with a mean value of 0.55. The overall FST value was found to be 0.519 that indicated the presence of genetic differentiation amongst the genotypes used in the study. The Sali population was divided into two clusters. The information obtained from the present study will facilitate the genetic improvement of Sali rice cultivars.

scholarly journals Analysis of genetic diversity and population structure in Asparagus species using SSR markers

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Manish Kapoor ◽  
Pooja Mawal ◽  
Vikas Sharma ◽  
Raghbir Chand Gupta
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Mean Value ◽  
Discrete Groups ◽  
Base Pairs ◽  
High Genetic Diversity ◽  
Pharmaceutical Industries ◽  
Improvement Programs ◽  
Northwest India ◽  
Simple Sequence

Abstract Background Various Asparagus species constitute the significant vegetable and medicinal genetic resource throughout the world. Asparagus species serve as important commodity of food and pharmaceutical industries in India. A diverse collection of Asparagus species from different localities of Northwest India was investigated for its genetic diversity using simple sequence repeat (SSR) markers. Results Polymorphic SSR markers revealed high genetic diversity. Primer SSR-15 amplified maximum of 8 fragments while 3 primers, namely, SSR-43, SSR-63, and AGA1 amplified minimum of 3 fragments. Collectively, 122 alleles were amplified in a range between 3 and 8 with an average of 5 alleles per marker. The size of the amplified alleles ranged between 90 and 680 base pairs. Polymorphism information content (PIC) value varied from a highest value of 0.499 in primer AGA1 to a lowest value of 0.231 in primer SSR-63 with a mean value of 0.376 showing considerable SSR polymorphism. Dendrogram developed on the basis of Jaccard’s similarity coefficient and neighbor-joining tree segregated all the studied Asparagus species into two discrete groups. Structure analysis based on Bayesian clustering allocated different accessions to two independent clusters and exhibited low level of individual admixture. Conclusions The genetic diversity analysis showed a conservative genetic background for maximum species of asparagus. Only Accessions of Asparagus adscendens were split into two diverse clusters suggesting a wide genetic base of this species as compared to other species. Overall genetic diversity was high, and this germplasm of Asparagus can be used in future improvement programs. The findings of current research on Asparagus germplasm can make a momentous contribution to initiatives of interbreeding, conservation, and improvement of Asparagus in future.

scholarly journals Genetic Diversity Analysis of Soybean [Glycine max (L.) Merrill.] Germplasms in Bangladesh Using SSR Markers

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
M. K. Khatun ◽  
M. A. Haque ◽  
M. A. Malek ◽  
M. H. Rashid ◽  
S. Islam ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Polymorphic Information Content ◽  
Mean Value ◽  
Ammonium Bromide ◽  
Diversity Analysis ◽  
Dna Ladder ◽  
Genetic Diversity Analysis ◽  
Soybean Genotypes ◽  
The Mean

The purpose of the present study was to investigate the genetic diversity and molecular characterization of 50 soybean genotypes in Bangladesh with 20 SSR markers. Genomic DNA was isolated by modified standard cetyl tri-methyl ammonium bromide (CTAB) extraction protocol and alleles were amplified by polymerase chain reaction (PCR). Allele sizes were estimated in comparison with 50 bp DNA ladder. The software NTSYSpc version 2.2 and POPGENE version 1.31 were utilized for molecular data analysis and preparation of dendrogram. Polymorphic Information Content (PIC) values varied from 0.53 (Satt664) to 0.98 (Satt009, Satt330 and Satt522) with the mean value 0.897 and expected heterozygosity varied from 0.4059 (Satt685) to 0.1246 (Satt664) with the mean value 0.244. The dendrogram analysis depicted that the 50 genotypes were grouped in four (4) major clusters. The most diverse genotypes were SBG-1, PM-78-6-3-13, BS-3 and AGS-31, which suggest that the simple sequence repeat (SSR) markers are very efficient for genetic diversity analysis. The similarity matrix revealed the diversity among genotypes. The diverse genetic materials obtained from the present study on genetic diversity of soybean genotypes in Bangladesh may be utilized in the future breeding programme.

scholarly journals Genetic Diversity Analysis of Rice Cultivars Differing in Dormancy Based on SSR Markers

2019 ◽  
Vol 8 (06) ◽  
pp. 3289-3299
Author(s):  
Soo ganna ◽  
L.V. Subba Rao ◽  
P. Kiranbabu ◽  
K. Basavaraj ◽  
K. Keshavulu
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Diversity Analysis ◽  
Rice Cultivars ◽  
Genetic Diversity Analysis

scholarly journals Molecular Characterization and Genetic Diversity Analysis of Released Hybrids and Varieties of Pearl Millet [Pennisetum glaucum (L.) R. Br.]

2020 ◽  
pp. 92-104
Author(s):  
Supriya Ambawat ◽  
C. Tara Satyavathi ◽  
Rajbala Meena ◽  
Vikas Khandelwal ◽  
R. C. Meena
Keyword(s):  
Genetic Diversity ◽  
Pearl Millet ◽  
Ssr Markers ◽  
Pennisetum Glaucum ◽  
Polymorphic Information Content ◽  
Crop Improvement ◽  
Cost Effective ◽  
Varietal Identification ◽  
Improvement Programs ◽  
Diversity Studies

Pearl millet is a climate-resilient crop which is most widely grown in the arid and semi-arid tropics of Asia and Africa over 26 mha. It is a highly nutritious cereal crop and rightly termed as nutricereal. This crop requires low inputs and delivers high cost-effective benefits. Development of high yielding hybrids is the major target of pearl millet researchers globally. The understanding of genetic diversity is very important and must for developing superior hybrids and crop improvement programs. In the present study, we evaluated the diversity among 30 different released hybrids and varieties of pearl millet using 125 Simple Sequence Repeat (SSR) markers. Out of these, 61 polymorphic SSRs were reported giving 191 alleles with an average of 3.13 alleles per primer. Polymorphic Information Content (PIC) varied from 0.33 to 0.76 with an average of 0.55 PIC value. The cluster analysis based on these SSR markers categorized the genotypes into four major clusters viz., I, II, III, IV with similarity coefficient ranging from 0.58 to 0.73. The results depicted that sufficient genetic variability exists among the different hybrids and varieties used in the study which can further prove useful for pearl millet improvement programs. The study also reveals that SSR markers are proficient and may be used efficiently for genetic diversity studies in pearl millet. It is also anticipated that findings of this study may be further used for DNA fingerprinting and varietal identification.

Molecular markers and antioxidant activity in berry crops: Genetic diversity analysis

2012 ◽  
Vol 92 (6) ◽  
pp. 1121-1133 ◽  
Author(s):  
S. C. Debnath ◽  
Y. L. Siow ◽  
J. Petkau ◽  
D. An ◽  
N. V. Bykova
Keyword(s):  
Genetic Diversity ◽  
Antioxidant Activity ◽  
Molecular Markers ◽  
Molecular Techniques ◽  
Diversity Analysis ◽  
Full Potential ◽  
Genetic Diversity Analysis ◽  
Wide Range ◽  
Berry Crops ◽  
Improvement Programs

Debnath, S. C., Siow, Y. L., Petkau, J., An, D. and Bykova, N. V. 2012. Molecular markers and antioxidant activity in berry crops: Genetic diversity analysis. Can. J. Plant Sci. 92: 1121–1133. An improved understanding of important roles of dietary fruits in maintaining human health has led to a dramatic increase of global berry crop production. Berry fruits contain relatively high levels of vitamin C, cellulose and pectin, and produce anthocyanins, which have important therapeutic values, including antitumor, antiulcer, antioxidant and anti-inflammatory activities. There is a need to develop reliable methods to identify berry germplasm and assess genetic diversity/relatedness for dietary properties in berry genotypes for practical breeding purposes through genotype selection in a breeding program for cultivar development, and proprietary-rights protection. The introduction of molecular biology techniques, such as DNA-based markers, allows direct comparison of different genetic materials independent of environmental influences. Significant progress has been made in diversity analysis of wild cranberry, lowbush blueberry, lingonberry and cloudberry germplasm, and in strawberry and raspberry cultivars and advanced breeding lines developed in Canada. Inter simple sequence repeat (ISSR) markers detected an adequate degree of polymorphism to differentiate among berry genotypes, making this technology valuable for cultivar identification and for the more efficient choice of parents in the current berry improvement programs. Although multiple factors affect antioxidant activity, a wide range of genetic diversity has been reported in wild and cultivated berry crops. Diversity analysis based on molecular markers did not agree with those from antioxidant activity. The paper also discusses the issues that still need to be addressed to utilize the full potential of molecular techniques including expressed sequence tag-polymerase chain reaction (EST-PCR) analysis to develop improved environment-friendly berry cultivars suited to the changing needs of growers and consumers.

scholarly journals Cross Species/Genera Transferability of SSR Markers, Genetic Diversity and Population Structure Analysis in Gladiolus (Gladiolus × grandiflorus L.) Genotypes

2021 ◽  
Author(s):  
Varun Hiremath ◽  
Kanwar Pal Singh ◽  
Neelu Jain ◽  
Kishan Swaroop ◽  
Pradeep Kumar Jain ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Structure Analysis ◽  
Genetic Relationships ◽  
Crop Improvement ◽  
Test Analysis ◽  
Average Value ◽  
Population Structure Analysis ◽  
Genetic Diversity And Structure

Abstract Genetic diversity and structure analysis using molecular markers is necessary for efficient utilization and sustainable management of gladiolus germplasm. Genetic analysis of gladiolus germplasm using SSR markers is largely missing due to scarce genomic information. In the present investigation, we report 66.66% cross transferability of Gladiolus palustris SSRs whereas 48% of Iris EST-SSRs were cross transferable across the gladiolus genotypes used in the study. A total of 17 highly polymorphic SSRs revealed a total 58 polymorphic loci ranging from two to six in each locus with an average of 3.41 alleles per marker. PIC values ranged from 0.11 to 0.71 with an average value of 0.48. Four SSRs were selectively neutral based on Ewens-Watterson test. Analysis of genetic structure of 84 gladiolus genotypes divided whole germplasm into two subpopulations. 35 genotypes were assigned to subpopulation 1 whereas 37 to subpopulation 2 and rest of the genotypes recorded as admixture. Analysis of molecular variance indicated maximum variance (53.59%) among individuals within subpopulations whereas 36.55% of variation observed among individuals within total population. Least variation (9.86%) was noticed between two subpopulations. Moderate (FST = 0.10) genetic differentiation of two subpopulations was observed. Grouping pattern of population structure was consistent with UPGMA dendrogram based on simple matching dissimilarity coefficient (ranged from 01.6 to 0.89) and PCoA. Genetic relationships assessed among the genotypes of respective clusters assist the breeders in selecting desirable parents for crossing. SSR markers from present study can be utilized for cultivar identification, conservation and sustainable utilization of gladiolus genotypes for crop improvement.

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 Analysis of Peach [Prunus persica (L.) Batsch] Varieties Using SSR Markers

2013 ◽  
Vol 45 (3) ◽  
pp. 201-211 ◽  
Author(s):  
Jee-Hwa Hong ◽  
Seung-In Yi ◽  
Yong-Sham Kwon ◽  
Young Kim ◽  
Keun-Jin Choi
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Prunus Persica ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis
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