Genetic relationship and diversity in Indian coconut accessions based on RAPD markers

Upadhyay, Anuradha; Jayadev, K; Manimekalai, R.; Parthasarathy, V. A.

doi:10.1016/s0304-4238(03)00103-1

Cited by 59 publications

(33 citation statements)

References 8 publications

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“…This is understandable as product amplified depends upon the sequence of random primers and their compatibility within genomic DNA. The number of markers detected by each primer depends on primer sequence and the extent of genetic variation, which is genotype specific (Upadhyay et al, 2004). The percent of polymorphic loci reported was upto 94 % using RAPD markers for Pinus gerardiana, which was higher than this study (87.50 %), although lower levels of percent polymorphic loci were also reported viz.…”

Section: Levels Of Polymorphismcontrasting

confidence: 69%

Genetic differentiation and diversity analysis of medicinal tree Syzygium cumini (Myrtaceae) from ecologically different regions of India

Khan

Vaishali

Sharma

2010

Physiol Mol Biol Plants

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Section: Levels Of Polymorphismcontrasting

confidence: 69%

Genetic differentiation and diversity analysis of medicinal tree Syzygium cumini (Myrtaceae) from ecologically different regions of India

Khan

Vaishali

Sharma

2010

Physiol Mol Biol Plants

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“…The RAPD method has advantages over other kinds of DNA-based genetic markers: it is relatively quick, easy to perform, comparatively cheap, highly informative, need no information of template DNA sequence and synthesis of specific markers more amiable to automation than conventional techniques and required only nanogram quantities of DNA. The dominant polymorphism between individual samples/races is indicated by the presence or absence of a particular RAPD fragment and extensively applied for assessing genetic diversity and relationship measures in various plant species (Bauvet et al, 2004;Upadhyay et al, 2004). Different types of molecular work have been reported on S. rebaudiana, and the first foundation for Stevia on molecular breeding was laid with the use of RAPD markers to construct a genetic linkage map of the Stevia genome using segregation data from a pseudo test-cross F1 population (Yao et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Genetic and metabolic diversity inStevia rebaudianausing RAPD and HPTLC analysis

Chester

Tamboli

Parveen

et al. 2013

Pharmaceutical Biology

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Context: Stevia rebaudiana Bertoni (Asteraceae) is an important medicinal plant and is much used due to its zero calories sweetening property. Stevia leaves as well as its extracts and pure compounds are currently used in the preparation of several medicines, food products and neutraceuticals. Objective: To study the genetic and metabolic variability in S. rebaudiana among accessions of different geographical regions of India using random amplified polymorphic DNA (RAPD) markers and high-performance thin layer chromatography (HPTLC) analysis. Materials and methods:The RAPD analysis of Stevia rebaudiana (11 accessions) was carried out using 20 random operon primers. Dendrogram was constructed for cluster analysis based on the unweighted pair group method with arithmetic means (UPGMA) using Winboot. The HPTLC analysis of all samples was carried out on silica using acetone:ethyl acetate:water (5:4:1, v/v/v) for fingerprinting and quantification of stevioside and rebaudioside A at 360 nm after spraying with anisaldehyde sulphuric acid. Results: Ten out of 20 primers screened were found most informative; amplification products of the genotypes yielded a total of 87 scorable bands (67 polymorphic), whereas genetic similarity (GS) coefficient (0.01-0.08) and polymorphism (67.24-92.40%) showed huge variability. Similarly, HPTLC analysis showed large variation among different samples with respect to their presence or absence of metabolite and their concentration. Conclusion: Out of the 11 Stevia accessions, Delhi and Mohali varieties showed much relatedness with each other and were concluded to be the superior genotype in context to RAPD and HPTLC analysis. The information obtained here could be valuable for devising strategies for cultivating this medicinal plant.

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“…Molecular markers, detect variation at the DNA level and are detectable at all stages of development. Since they can also cover the entire genome, DNA markers overcome most limitations of morphological and biochemical markers (Ashburner et al, 1997;Teulat et al, 2000;Upadhyay et al, 2004;Manimekalai et al, 2006). Among available molecular marker techniques, simple sequence repeat (SSR) markers provide good signal in evaluating genetic diversity and genetic relationships in plants.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the genetic diversity of Kenyan coconut germplasm using simple sequence repeat (SSR) markers

Oyoo¹,

Muhammed²,

Cyrus³

et al. 2016

Afr. J. Biotechnol.

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Genetic diversity and relationship among 48 coconut individuals (Cocos nucifera L.) collections from the Coastal lowland of Kenya were analyzed using 15 simple sequence repeat (SSR) primer pairs. Diversity parameters were calculated using Popgene Software version 1.31. The gene diversity values ranged from 0.0408 (CAC68) to 0.4861 (CAC23) with a mean value of 0.2839. The polymorphic information content (PIC) values ranged from 0.0400 to 0.3680 with a mean value of 0.2348. Marker CAC23 had the highest PIC and revealed highest gene diversity values in this study. Analysis of the molecular variation indicated that within individual variation was 98% while among materials, variation was low at 2% suggesting that molecular variation was not defined by region of production. Cluster analysis was constructed using DARwin program version 6.0. Forty eight (48) coconut individuals were clustered into three groups.

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Genetic relationship and diversity in Indian coconut accessions based on RAPD markers

Cited by 59 publications

References 8 publications

Genetic differentiation and diversity analysis of medicinal tree Syzygium cumini (Myrtaceae) from ecologically different regions of India

Genetic differentiation and diversity analysis of medicinal tree Syzygium cumini (Myrtaceae) from ecologically different regions of India

Genetic and metabolic diversity inStevia rebaudianausing RAPD and HPTLC analysis

Assessment of the genetic diversity of Kenyan coconut germplasm using simple sequence repeat (SSR) markers

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