Molecular Characterization and Genetic Diversity Analysis of Rice (<i>Oryza sativa</i>L.) Using SSR Markers

Rahmana, M. Mamunur; Rasaulc, M. G.; Hossain, M. A.; Iftekaruddaula, K. M.; Hasegawa, Hiroshi

doi:10.1080/15427528.2011.627533

Cited by 32 publications

(21 citation statements)

References 30 publications

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“…Furthermore, in a study conducted by Sajib et al, (2012), the number of alleles per locus varied from 2 to 6, with average number of alleles per locus was 3.33 in 12 rice germplasm which was significantly higher than the average alleles found this experiment. Similar lower average were observed by Pervaiz et al, (2010), Upadhyay et al, (2011) and Rahman et al, (2012) who found an average of 4.4, 4.35 and 4.18 alleles per locus. The PIC values derived from allelic diversity and frequency among the genotypes were not uniform for all the SSR loci tested.…”

Section: Molecular Characterizationsupporting

confidence: 65%

Morphomolecular Characterization of Local Boro Rice (Oryza Sativa L.) Germplasm

Halder

Hoque

Islam

et al. 2016

Bangla J Plant Breeding & Genetics

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An investigation was carried out to analysis the genetic diversity of 12 Bangladeshi local Boro rice (Oryza sativa L.) germplasm using morphological traits and molecular markers. Eight morphological traits (viz., days to 50 percent flowering, growth duration, plant height, filled grain/panicle, 1000 grain weight and grain yield) and eight Simple Sequence Repeat (SSR) markers were used for this analysis. The plant morphological traits exhibited more variation among the genotypes tested. Several traits were found to be significantly positive in correlation coefficient analysis and thus those traits can be considered stable as demonstrated by their coefficient of variability. A set of eight SSR primer pairs was used for molecular characterization resulting 49 alleles, where average of allele number was 6.13. The polymorphic information content (PIC) values ranged from 0.67 (RM1) to 0.86 (RM314) with an average of 0.76. The highest PIC value (0.86) was obtained for RM314 which also gave maximum alleles. The PIC value revealed that RM314 was the best marker for 12 genotypes tested. The cluster analysis based on UPGMA system grouped 12 genotypes into four clusters.

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Section: Molecular Characterizationsupporting

confidence: 65%

Morphomolecular Characterization of Local Boro Rice (Oryza Sativa L.) Germplasm

Halder

Hoque

Islam

et al. 2016

Bangla J Plant Breeding & Genetics

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“…Amongst the various types of molecular markers used, Simple Sequence Repeat (SSR) markers are generally used because of their higher reproducibility, co-dominance, abundance, wide distribution throughout the genome, easy scorability and multi-allelic variation (Powell et al, 1996). SSR have been used for genetic diversity analysis in a number of crops including Indian bread wheat (Mir et al, 2011), rice (Rahman et al, 2012) and maize (Sivaranjini et al, 2014). A large number of SSR markers have been developed and extensively characterized in B. rapa (Suwabe et al, 2002 andRamchiary et al, 2011) and B. napus (Wang et al, 2012 andLi et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Genetic Diversity Analysis for Salinity Tolerance in Indian Mustard [Brassica juncea (L.)] Using SSR Markers

Patel¹,

Yadav²,

Avtar³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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“…Thus, possibility of obtaining progenies with higher nutritional quality under drought environment would be higher from the crosses of Kalobokri with BRRI dhan56 and BRRI dhan57. SSR markers are powerful tool for analyzing genetic variability among the germplasm accessions, particularly when they are closely related [20][21][22]. In this study, 60 microsatellite markers were analyzed to reveal genetic distance among eight rice varieties aiming to use in a breeding program targeting high yield and nutritional quality under drought and cold prone environments.…”

Section: Discussionmentioning

confidence: 99%

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2017

Current Research in Agricultural Sciences

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Article HistoryAbiotic stresses limit crop growth at different growth stages resulting low yield of rice. Molecular characterization of parental materials gives precise information on the extent of genetic diversity exists between them. A set of 60 SSRs randomly distributed over 12 chromosomes were used to analyze eight cultivars intend to be used as parent in breeding programs to address cold and drought tolerance, and nutritional quality of rice. A total of 300 alleles were detected across the cultivars for 51 polymophic markers with 5.88 alleles per loci. On average 30.6% of the genotypes shared a common allele at any given locus. UPGMA cluster analysis showed that 67% common alleles were shared by the cultivars. The cultivars were clearly grouped into two distinct clusters at 67.0% genetic similarity. Hbj. BVI showing high tolerance to cold stress at seedling stage differed from cold susceptible BR1, BRRI dhan28 and BRRI dhan29 by 33% alleles while BR18 that showed moderately cold tolerance differed by 29.0 -29.9% alleles which indicated that only 3-4% alleles difference caused higher cold tolerance in Hbj. BVI. The moderate genetic distance between cold tolerant Hbj. BVI and high yielding BRRI dhan28 and BRRI dhan29 indicated that there is higher possibility of obtaining high yielding cold tolerant segregants from the crosses between them. On the other hand, Kalobokri, which had 31.7 mg zinc a kilogram of polished rice differed by 33.0% alleles from the drought tolerant rainfed low varieties BRRI dhan56 and BRRI dhan57 having moderate level of zinc (~20 mg/kg), which also indicated that crosses between them might produce progenies with higher nutritional quality under drought environment. Contribution/ Originality:This study is one of the few studies which have investigated the genetic distance between the parental lines that are intended to be used in the breeding program to address abiotic stresses, like drought and cold tolerance with high yield potential and enhanced nutritional quality, particularly zinc content in rice.

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Molecular Characterization and Genetic Diversity Analysis of Rice (Oryza sativaL.) Using SSR Markers

Cited by 32 publications

References 30 publications

Morphomolecular Characterization of Local Boro Rice (Oryza Sativa L.) Germplasm

Morphomolecular Characterization of Local Boro Rice (Oryza Sativa L.) Germplasm

Genetic Diversity Analysis for Salinity Tolerance in Indian Mustard [Brassica juncea (L.)] Using SSR Markers

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