Literature DB >> 12121450

A novel method for the construction of genome wide transcriptome maps.

Bart Brugmans1, Asun Fernandez del Carmen, Christian W B Bachem, Hans van Os, Herman J van Eck, Richard G F Visser.   

Abstract

Expression profiling by cDNA-AFLP is commonly used to display the transcriptome of a specific tissue, treatment or developmental stage. In this paper, cDNA-AFLP has been used to study transcripts expressed in segregating populations from Arabidopsis thaliana and potato (Solanum tuberosum). The genetic differences between the offspring genotypes are thus visualized as polymorphisms in the transcriptome. We show that polymorphic transcripts can be used as genetic markers and allow the construction of a linkage map. The resulting map shows that, in contrast to genomic markers, the transcriptome-derived markers did not cluster in particular areas of the chromosome, and that cDNA-AFLP markers are targeted specifically to transcriptionally active regions. The cDNA-AFLP markers used in mapping are derived from DNA polymorphisms in transcripts, rather than differences in expression regulation. The high potential of transcriptome markers as opposed to (anonymous) genomic markers for applications in genetic analyses, marker-assisted breeding and map-based cloning is discussed.

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Year:  2002        PMID: 12121450     DOI: 10.1046/j.1365-313x.2002.01345.x

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  14 in total

Review 1.  Molecular markers from the transcribed/expressed region of the genome in higher plants.

Authors:  P K Gupta; S Rustgi
Journal:  Funct Integr Genomics       Date:  2004-04-17       Impact factor: 3.410

2.  Molecular analysis of drought tolerance in tea by cDNA-AFLP based transcript profiling.

Authors:  Sushmita Gupta; Raju Bharalee; Priyadarshini Bhorali; Sourabh K Das; Prasenjit Bhagawati; Tirthankar Bandyopadhyay; Bornali Gohain; Niraj Agarwal; Parveen Ahmed; Sangeeta Borchetia; M C Kalita; A K Handique; Sudripta Das
Journal:  Mol Biotechnol       Date:  2013-03       Impact factor: 2.695

3.  Construction of a potato transcriptome map based on the cDNA-AFLP technique.

Authors:  E Ritter; J I Ruiz de Galarreta; H J van Eck; I Sánchez
Journal:  Theor Appl Genet       Date:  2008-03-04       Impact factor: 5.699

4.  Genetic mapping and transcription analyses of resistance gene loci in potato using NBS profiling.

Authors:  Bart Brugmans; Doret Wouters; Hans van Os; Ronald Hutten; Gerard van der Linden; Richard G F Visser; Herman J van Eck; Edwin A G van der Vossen
Journal:  Theor Appl Genet       Date:  2008-09-20       Impact factor: 5.699

5.  Differential gene expression and associated QTL mapping for cotton yield based on a cDNA-AFLP transcriptome map in an immortalized F2.

Authors:  Renzhong Liu; Baohua Wang; Wangzhen Guo; Liguo Wang; Tianzhen Zhang
Journal:  Theor Appl Genet       Date:  2011-04-22       Impact factor: 5.699

6.  Construction of an EST-SSR-based interspecific transcriptome linkage map of fibre development in cotton.

Authors:  Chuanxiang Liu; Daojun Yuan; Zhongxu Lin
Journal:  J Genet       Date:  2014-12       Impact factor: 1.166

7.  Differential gene expression of related wheat lines with contrasting levels of head blight resistance after Fusarium graminearum inoculation.

Authors:  Barbara Steiner; Harald Kurz; Marc Lemmens; Hermann Buerstmayr
Journal:  Theor Appl Genet       Date:  2008-12-10       Impact factor: 5.699

8.  Convergent evolution in the genetic basis of Müllerian mimicry in heliconius butterflies.

Authors:  Simon W Baxter; Riccardo Papa; Nicola Chamberlain; Sean J Humphray; Mathieu Joron; Clay Morrison; Richard H ffrench-Constant; W Owen McMillan; Chris D Jiggins
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

9.  Comparison of anonymous and targeted molecular markers for the estimation of genetic diversity in ex situ conserved Lactuca.

Authors:  R van Treuren; Th J L van Hintum
Journal:  Theor Appl Genet       Date:  2009-08-21       Impact factor: 5.699

Review 10.  Comparative transcriptome analyses of Pseudomonas aeruginosa.

Authors:  Deepak Balasubramanian; Kalai Mathee
Journal:  Hum Genomics       Date:  2009-07       Impact factor: 4.639

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