Literature DB >> 21677384

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.

Vikas Kumar Singh1, 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.   

Abstract

A set of morphological traits and SSR markers were used to determine the genetic relationship among 12 elite thermosensitive genic male sterile (TGMS) lines developed at three different research institutions of India. Agro-morphological data recorded on 20 morphological traits revealed a wide base of genetic variation and a set of four morphological traits could distinguish most of the TGMS lines. Analysis with 30 SSR markers (20 EST-SSRs and 10 genomic SSRs) revealed 27 markers to be polymorphic, amplifying a total of 83 alleles. Each SSR marker amplified 2-6 alleles with an average of 2.76 alleles per marker and a PIC value varying from 0.54 to 0.96. Cluster analysis based on SSR and morphological data clearly differentiated the lines according to their source of origin. Correlation analysis between morphological and molecular data revealed a very poor association (r = 0.06), which could be attributed to selection pressure, genetic drift, sampling error and unknown relationship among related lines. The SSR markers discriminated the genotypes distinctly and quantified the genetic diversity precisely among the TGMS lines. Data on the yield per plant indicated that the genotypes grouping under a similar cluster showed same heterotic behaviour as compared to the genotypes from different clusters when crossed to similar pollinators.

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Year:  2011        PMID: 21677384     DOI: 10.1007/s12041-011-0018-5

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  9 in total

1.  Use of three different marker systems to estimate genetic diversity of Indian elite rice varieties.

Authors:  A P Davierwala; K V Chowdari; S Kumar; A P Reddy; P K Ranjekar; V S Gupta
Journal:  Genetica       Date:  2000       Impact factor: 1.082

2.  What it will take to feed 5.0 billion rice consumers in 2030.

Authors:  Gurdev S Khush
Journal:  Plant Mol Biol       Date:  2005-09       Impact factor: 4.076

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

Authors:  J O Olufowote; Y Xu; X Chen; W D Park; H M Beachell; R H Dilday; M Goto; S R McCouch
Journal:  Genome       Date:  1997-06       Impact factor: 2.166

4.  RFLP maps of potato and their alignment with the homoeologous tomato genome.

Authors:  C Gebhardt; E Ritter; A Barone; T Debener; B Walkemeier; U Schachtschabel; H Kaufmann; R D Thompson; M W Bonierbale; M W Ganal; S D Tanksley; F Salamini
Journal:  Theor Appl Genet       Date:  1991-11       Impact factor: 5.699

5.  Molecular mapping of a thermosensitive genetic male sterility gene in rice using bulked segregant analysis.

Authors:  P K Subudhi; R P Borkakati; S S Virmani; N Huang
Journal:  Genome       Date:  1997-04       Impact factor: 2.166

6.  Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.).

Authors:  O Panaud; X Chen; S R McCouch
Journal:  Mol Gen Genet       Date:  1996-10-16

7.  Transferable EST-SSR markers for the study of polymorphism and genetic diversity in bread wheat.

Authors:  P K Gupta; S Rustgi; S Sharma; R Singh; N Kumar; H S Balyan
Journal:  Mol Genet Genomics       Date:  2003-09-24       Impact factor: 3.291

8.  Molecular diversity and multilocus organization of the parental lines used in the International Rice Molecular Breeding Program.

Authors:  S B Yu; W J Xu; C H M Vijayakumar; J Ali; B Y Fu; J L Xu; Y Z Jiang; R Marghirang; J Domingo; C Aquino; S S Virmani; Z K Li
Journal:  Theor Appl Genet       Date:  2003-09-06       Impact factor: 5.699

9.  Genetic diversity and its relationship to hybrid performance and heterosis in rice as revealed by PCR-based markers.

Authors:  J Xiao; J Li; L Yuan; S R McCouch; S D Tanksley
Journal:  Theor Appl Genet       Date:  1996-05       Impact factor: 5.699

  9 in total
  1 in total

1.  Genetic analysis and molecular mapping of a new fertility restorer gene Rf8 for Triticum timopheevi cytoplasm in wheat (Triticum aestivum L.) using SSR markers.

Authors:  Pallavi Sinha; S M S Tomar; Vikas K Singh; H S Balyan
Journal:  Genetica       Date:  2013-10-16       Impact factor: 1.082

  1 in total

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