Literature DB >> 16462906

5S rDNA gene diversity in tea (Camellia sinensis (L.) O. Kuntze) and its use for variety identification.

Dharam Singh1, Paramvir Singh Ahuja.   

Abstract

Variability in the organization of repeats of 5S rDNA is useful for phylogenetic studies in various crops. We found variable repeats of 5S rDNA gene in the genome of tea (Camellia sinensis (L.) O. Kuntze) during Southern hybridization. Variability in the repeats of 5S rDNA with specific restriction endonucleases (Sau3AI, BamHI, and ApoI) was analyzed in 28 different tea clones representing 3 types of tea. Our results clearly show that the 5S rDNA gene in tea could be used as a molecular marker to distinguish C. sinensis Chinary tea from the other important types of tea, namely Assamica and Cambod. Upon analysis with restriction endonucleases, the 5S rDNA gene in the tea genome was found to be heavily methylated.

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Year:  2006        PMID: 16462906     DOI: 10.1139/g05-065

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


  4 in total

Review 1.  Biotechnological advances in tea (Camellia sinensis [L.] O. Kuntze): a review.

Authors:  Mainaak Mukhopadhyay; Tapan K Mondal; Pradeep K Chand
Journal:  Plant Cell Rep       Date:  2015-11-13       Impact factor: 4.570

2.  BARCSoySNP23: a panel of 23 selected SNPs for soybean cultivar identification.

Authors:  M S Yoon; Q J Song; I Y Choi; J E Specht; D L Hyten; P B Cregan
Journal:  Theor Appl Genet       Date:  2007-01-12       Impact factor: 5.699

3.  Commercial teas highlight plant DNA barcode identification successes and obstacles.

Authors:  Mark Y Stoeckle; Catherine C Gamble; Rohan Kirpekar; Grace Young; Selena Ahmed; Damon P Little
Journal:  Sci Rep       Date:  2011-07-21       Impact factor: 4.379

4.  Comparative Transcriptome Analysis of Chinary, Assamica and Cambod tea (Camellia sinensis) Types during Development and Seasonal Variation using RNA-seq Technology.

Authors:  Ajay Kumar; Vandna Chawla; Eshita Sharma; Pallavi Mahajan; Ravi Shankar; Sudesh Kumar Yadav
Journal:  Sci Rep       Date:  2016-11-17       Impact factor: 4.379

  4 in total

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