Key DNA Markers for Predicting Heterosis in F1 Hybrids of japonica Rice

Cho, Young-Il; Park, Chan-Woong; Kwon, Soon Jae; Chin, Joong Hyoun; Ji, Hyeonso; Park, Kijin; McCouch, Susan R.; Koh, Hee‐Jong

doi:10.1270/jsbbs.54.389

Cited by 24 publications

(15 citation statements)

References 44 publications

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“…Other previous studies often gave low correlation coefficient values i.e. 0.24, 0.39 and 0.54 for rice, olive and popcorn respectively (Belaj et al 2003;Cho et al 2004;Leal et al 2010). The reasons for the poor correlation between RAPD and SSR data could be explained by (1) the different nature of genetic polymorphism detected by different types of markers;…”

Section: Fig 5 Correlation Between Genetic Similarity Coefficients Amentioning

confidence: 91%

Genetic diversity analysis of rice cultivars (Oryza sativa L.) differing in salinity tolerance based on RAPD and SSR markers

Kanawapee¹,

Sanitchon²,

Srihaban³

et al. 2011

Electro Journal of Biotech

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Thirty rice cultivars were evaluated for salinity tolerance during the seedling stage and were divided into five tolerance groups including tolerant (T), moderately tolerant (MT), moderately susceptible (MS), susceptible (S) and highly susceptible (HS) which comprised 5, 10, 9, 4 and 2 cultivars respectively. Genetic diversity of all rice cultivars was evaluated using random amplified polymorphic DNA (RAPD) and simple sequence repeats (SSR) markers. The cultivars were evaluated for polymorphisms after amplification with 20 random decamer primers and 20 SSR primer pairs. A total of 161 RAPD markers and 190 SSR alleles were produced which revealed 68.94% and 89.47% polymorphism respectively. Mean genetic similarity coefficient was 0.82 for RAPD and 0.70 for SSR. Cluster analysis based on RAPD markers was effective in grouping cultivars based on their salt tolerance ability. Group IA1, IB and IV contained three T, three S and two HS rice cultivars respectively. The MT and MS cultivars which showed similar physiological responses to salinity were resolved into two groups: Group IA2 and Group II comprising ten and eight MT/MS cultivars respectively. Cluster analysis based on SSR markers separated rice cultivars into groups based on genetic relatedness which did not correspond to salinity tolerance level. The results from this study provided some useful implications for salt tolerance breeding programs. The evaluation of genetic similarity and cluster analysis together with salt tolerance ability provides some useful guides for assisting plant breeders in selecting suitable genetically diverse parents for the crossing program.

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Section: Fig 5 Correlation Between Genetic Similarity Coefficients Amentioning

confidence: 91%

Genetic diversity analysis of rice cultivars (Oryza sativa L.) differing in salinity tolerance based on RAPD and SSR markers

Kanawapee¹,

Sanitchon²,

Srihaban³

et al. 2011

Electro Journal of Biotech

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“…This would be important for breeding programmes because maintaining genetic diversity within breeding populations is necessary to maximize hybrid vigour, because creeping bentgrass is a cross-pollinated species and suffers from inbreeding depression. These SSRs could be used to optimize selection of parental clones that maximize hybrid vigour and genetic diversity for new cultivar development (Cho et al 2003;Xu 2003). In addition to their role in genetic diversity studies, these highly polymorphic SSR markers could be used by breeding programmes as a DNA fingerprinting tool to protect plant breeders rights and deter cultivars from being stolen.…”

Section: Discussionmentioning

confidence: 99%

Characterization of 215 simple sequence repeat markers in creeping bentgrass (Agrostis stolonifera L.)

Kubik

Honig

Bonos

2011

Molecular Ecology Resources

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Creeping bentgrass (Agrostis stolonifera L.) is a versatile, cross-pollinated, temperate and perennial turfgrass species. It occurs naturally in a wide variety of habitats and is also cultivated on golf courses, bowling greens and tennis courts worldwide. Isozymes and amplified fragment length polymorphisms (AFLPs) have been used to determine genetic diversity, and restriction fragment length polymorphisms (RFLPs) and random amplified polymorphic DNA (RAPDs) were used to construct a genetic linkage map of this species. In the current report, we developed and characterized 215 unique genomic simple sequence repeat (SSR) markers in creeping bentgrass. The SSRs reported here are the first available markers in creeping bentgrass to date. Eight hundred and eighteen alleles were amplified by 215 SSR loci, an average of 3.72 alleles per locus. Fifty-nine per cent of those alleles segregated in a 1:1 Mendelian fashion (P > 0.05). Twenty-two per cent had a distorted segregation ratio (P ≤ 0.05). These SSR markers will be useful for assessing genetic diversity in creeping bentgrass and will be important for the development of genetic linkage maps and identifying quantitative trait loci. These markers could enhance breeding programmes by improving the efficiency of selection techniques.

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“…1987), pedigree records (de Leon and Carpena 1995) and DNA markers (Zhang et al. 1994, Cho et al. 2004) have been employed for assessing the parental genetic diversity, which were then correlated with grain yield heterosis.…”

Section: List Of Cytoplasmic Male Sterile Lines and Restorer Lines Umentioning

confidence: 99%

Prediction of heterosis for grain yield in rice using ‘key’ informative EST-SSR markers

et al. 2010

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This study was undertaken to assess the comparative potential of 25 Expressed Sequence Tag derived simple sequence repeats (EST-SSRs) and 25 genomic SSRs in the prediction of grain yield heterosis using a set of nine cytoplasmic male sterile (CMS) lines and 32 restorer lines of rice. EST-SSRs and genomic SSRs exhibited an average Polymorphism Information Content value of 0.37 and 0.45, respectively. The coefficient of marker polymorphism among parental lines with respect to a set of hypervariable EST and genomic SSRs was correlated with standard heterosis for grain yield of six public bred rice hybrids. ESTSSRs gave a better correlation (r = 0.75) as compared with genomic SSRs (r = 0.09). When 10 ÔkeyÕ informative EST-SSR markers which showed a higher positive correlation with grain yield heterosis were validated in a new set of 14 experimental hybrids, the markers exhibited a higher correlation (r = 0.79), indicating the predictive value of these EST-SSRs. We recommend these 10 ÔkeyÕ informative EST-SSR markers for analysis of genetic diversity of parental lines and prediction of heterosis in hybrid rice breeding programmes.

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Key DNA Markers for Predicting Heterosis in F1 Hybrids of japonica Rice

Cited by 24 publications

References 44 publications

Genetic diversity analysis of rice cultivars (Oryza sativa L.) differing in salinity tolerance based on RAPD and SSR markers

Genetic diversity analysis of rice cultivars (Oryza sativa L.) differing in salinity tolerance based on RAPD and SSR markers

Characterization of 215 simple sequence repeat markers in creeping bentgrass (Agrostis stolonifera L.)

Prediction of heterosis for grain yield in rice using ‘key’ informative EST-SSR markers

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