Literature DB >> 9202415

Comparative evaluation of within-cultivar variation of rice (Oryza sativa L.) using microsatellite and RFLP markers.

J O Olufowote1, Y Xu, X Chen, W D Park, H M Beachell, R H Dilday, M Goto, S R McCouch.   

Abstract

The objective of this study was to determine an efficient way of detecting within-cultivar variation in rice varieties obtained from national and international germplasm collections. Seventy-one rice cultivars were evaluated for within-cultivar variation using a combination of phenotypic, RFLP, and microsatellite or simple sequence length polymorphism (SSLP). Variation between individuals within and accession and between duplicate accessions within a cultivar was detected even in cultivars that had been purified by phenotypic evaluation. Landrace cultivars were more heterogeneous and displayed a larger number of both RFLP and SSLP alleles than did modern cultivars. Microsatellite markers detected a greater number of alleles and were able to discriminate between even closely related individuals more efficiently than RFLPs. Some microsatellite markers were more informative than others for assessing genetic diversity. Single markers revealed 5.6-61.1% of the total variation detected by the 10 SSLP markers. Some marker combinations were complementary, providing more information than others. Several combinations of 4 SSLP markers detected as much as 94% of the total within-cultivar variation detected by the 10 SSLP markers. These results suggest that the use of four well-chosen microsatellites would be an efficient method for evaluating the heterogeneity of rice accessions.

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Year:  1997        PMID: 9202415     DOI: 10.1139/g97-050

Source DB:  PubMed          Journal:  Genome        ISSN: 0831-2796            Impact factor:   2.166


  24 in total

1.  Conserved simple sequence repeats for the Limnanthaceae (Brassicales).

Authors:  V K Kishore; P Velasco; D K Shintani; J Rowe; C Rosato; N Adair; M B Slabaugh; S J Knapp
Journal:  Theor Appl Genet       Date:  2003-11-27       Impact factor: 5.699

2.  Comparative analyses of genetic diversities within tomato and pepper collections detected by retrotransposon-based SSAP, AFLP and SSR.

Authors:  Sheh May Tam; Corinne Mhiri; Aat Vogelaar; Marcel Kerkveld; Stephen R Pearce; Marie-Angèle Grandbastien
Journal:  Theor Appl Genet       Date:  2005-02-08       Impact factor: 5.699

3.  ISSR markers based on GA and AG repeats reveal genetic relationship among rice varieties tolerant to drought, flood, or salinity.

Authors:  Ch Surendhar Reddy; A Prasad Babu; B P Mallikarjuna Swamy; K Kaladhar; N Sarla
Journal:  J Zhejiang Univ Sci B       Date:  2009-02       Impact factor: 3.066

4.  Determination of genetic relationships among elite thermosensitive genic male sterile lines (TGMS) of rice (Oryza sativa L.) employing morphological and simple sequence repeat (SSR) markers.

Authors:  Vikas Kumar Singh; Priti Upadhyay; Pallavi Sinha; Ashish Kumar Mall; Sanjay Kumar Jaiswal; Atul Singh; Ranjith Kumar Ellur; Sunil Biradar; R M Sundaram; Sukhpal Singh; Ilyas Ahmed; B Mishra; A K Singh; C Kole
Journal:  J Genet       Date:  2011-04       Impact factor: 1.166

Review 5.  Microsatellite marker development, mapping and applications in rice genetics and breeding.

Authors:  S R McCouch; X Chen; O Panaud; S Temnykh; Y Xu; Y G Cho; N Huang; T Ishii; M Blair
Journal:  Plant Mol Biol       Date:  1997-09       Impact factor: 4.076

6.  A Coordinated Suite of Wild-Introgression Lines in Indica and Japonica Elite Backgrounds.

Authors:  Namrata Singh; Diane R Wang; Liakat Ali; HyunJung Kim; Kazi M Akther; Sandra E Harrington; Ju-Won Kang; Ehsan Shakiba; Yuxin Shi; Genevieve DeClerck; Byron Meadows; Vishnu Govindaraj; Sang-Nag Ahn; Georgia C Eizenga; Susan R McCouch
Journal:  Front Plant Sci       Date:  2020-11-12       Impact factor: 5.753

7.  Genetic structure and diversity in Oryza sativa L.

Authors:  Amanda J Garris; Thomas H Tai; Jason Coburn; Steve Kresovich; Susan McCouch
Journal:  Genetics       Date:  2005-01-16       Impact factor: 4.562

8.  Utilizing the genetic diversity within rice cultivars.

Authors:  Helen Belefant-Miller; Gordon H Miller; Karen A K Moldenhauer
Journal:  Planta       Date:  2011-12-20       Impact factor: 4.116

9.  Population structure and genetic diversity analysis of Indian and exotic rice (Oryza sativa L.) accessions using SSR markers.

Authors:  B Kalyana Babu; Vimla Meena; Vasudha Agarwal; P K Agrawal
Journal:  Mol Biol Rep       Date:  2014-03-02       Impact factor: 2.316

10.  Microsatellite analysis of genetic diversity and population genetic structure of a wild rice (Oryza rufipogon Griff.) in China.

Authors:  Hai-Fei Zhou; Zhong-Wen Xie; Song Ge
Journal:  Theor Appl Genet       Date:  2003-03-25       Impact factor: 5.699

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