Literature DB >> 14501056

Constructing gene-enriched plant genomic libraries using methylation filtration technology.

Pablo D Rabinowicz1.   

Abstract

Full genome sequencing in higher plants is a very difficult task, because their genomes are often very large and repetitive. For this reason, gene targeted partial genomic sequencing becomes a realistic option. The method reported here is a simple approach to generate gene-enriched plant genomic libraries called methylation filtration. This technique takes advantage of the fact that repetitive DNA is heavily methylated and genes are hypomethylated. Then, by simply using an Escherichia coli host strain harboring a wild-type modified cytosine restriction (McrBC) system, which cuts DNA containing methylcytosine, repetitive DNA is eliminated from these genomic libraries, while low copy DNA (i.e., genes) is recovered. To prevent cloning significant proportions of organelle DNA, a crude nuclear preparation must be performed prior to purifying genomic DNA. Adaptor-mediated cloning and DNA size fractionation are necessary for optimal results.

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Year:  2003        PMID: 14501056     DOI: 10.1385/1-59259-413-1:21

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  10 in total

1.  Genes and transposons are differentially methylated in plants, but not in mammals.

Authors:  Pablo D Rabinowicz; Lance E Palmer; Bruce P May; Michael T Hemann; Scott W Lowe; W Richard McCombie; Robert A Martienssen
Journal:  Genome Res       Date:  2003-12       Impact factor: 9.043

2.  Stability of the MON 810 transgene in maize.

Authors:  Jose Luis La Paz; Maria Pla; Nina Papazova; Pere Puigdomènech; Carlos M Vicient
Journal:  Plant Mol Biol       Date:  2010-10-09       Impact factor: 4.076

3.  Differential methylation of genes and repeats in land plants.

Authors:  Pablo D Rabinowicz; Robert Citek; Muhammad A Budiman; Andrew Nunberg; Joseph A Bedell; Nathan Lakey; Andrew L O'Shaughnessy; Lidia U Nascimento; W Richard McCombie; Robert A Martienssen
Journal:  Genome Res       Date:  2005-10       Impact factor: 9.043

Review 4.  Triticeae genomics: advances in sequence analysis of large genome cereal crops.

Authors:  Nils Stein
Journal:  Chromosome Res       Date:  2007       Impact factor: 5.239

Review 5.  DNA methylation methods: Global DNA methylation and methylomic analyses.

Authors:  Shizhao Li; Trygve O Tollefsbol
Journal:  Methods       Date:  2020-10-09       Impact factor: 3.608

6.  First insights into the large genome of Epimedium sagittatum (Sieb. et Zucc) Maxim, a Chinese Ttaditional medicinal plant.

Authors:  Di Liu; Shao-Hua Zeng; Jian-Jun Chen; Yan-Jun Zhang; Gong Xiao; Lin-Yao Zhu; Ying Wang
Journal:  Int J Mol Sci       Date:  2013-06-27       Impact factor: 5.923

7.  The Pinus taeda genome is characterized by diverse and highly diverged repetitive sequences.

Authors:  Allen Kovach; Jill L Wegrzyn; Genis Parra; Carson Holt; George E Bruening; Carol A Loopstra; James Hartigan; Mark Yandell; Charles H Langley; Ian Korf; David B Neale
Journal:  BMC Genomics       Date:  2010-07-07       Impact factor: 3.969

8.  The TIGR Maize Database.

Authors:  Agnes P Chan; Geo Pertea; Foo Cheung; Dan Lee; Li Zheng; Cathy Whitelaw; Ana C Pontaroli; Phillip SanMiguel; Yinan Yuan; Jeffrey Bennetzen; William Brad Barbazuk; John Quackenbush; Pablo D Rabinowicz
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

Review 9.  Current Trends in Diagnostics of Viral Infections of Unknown Etiology.

Authors:  Daniel Kiselev; Alina Matsvay; Ivan Abramov; Vladimir Dedkov; German Shipulin; Kamil Khafizov
Journal:  Viruses       Date:  2020-02-14       Impact factor: 5.048

10.  An Ambystoma mexicanum EST sequencing project: analysis of 17,352 expressed sequence tags from embryonic and regenerating blastema cDNA libraries.

Authors:  Bianca Habermann; Anne-Gaelle Bebin; Stephan Herklotz; Michael Volkmer; Kay Eckelt; Kerstin Pehlke; Hans Henning Epperlein; Hans Konrad Schackert; Glenis Wiebe; Elly M Tanaka
Journal:  Genome Biol       Date:  2004-08-13       Impact factor: 13.583

  10 in total

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