Research
Transcriptional analysis of highly syntenic regions between Medicago truncatula and Glycine max using tiling microarrays
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* Corresponding author: Xing-Wang Deng xingwang.deng@yale.edu
- † Equal contributors
1 Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA
2 National Institute of Biological Sciences, Beijing 102206, China
3 Peking-Yale Joint Research Center of Plant Molecular Genetics and Agrobiotechnology, Peking University, Beijing 100871, China
4 Donald Danforth Plant Science Center, St Louis, MO 63132, USA
5 College of Life Sciences, Capital Normal University, Beijing 100037, China
6 Genome Research Facility, NASA Ames Research Center, Moffett Field, CA 94035, USA
7 Department of Plant Pathology, University of Minnesota, St Paul, MN 55108, USA
8 Current address: Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
Genome Biology 2008, 9:R57 doi:10.1186/gb-2008-9-3-r57
Published: 19 March 2008Abstract
Background
Legumes are the third largest family of flowering plants and are unique among crop species in their ability to fix atmospheric nitrogen. As a result of recent genome sequencing efforts, legumes are now one of a few plant families with extensive genomic and transcriptomic data available in multiple species. The unprecedented complexity and impending completeness of these data create opportunities for new approaches to discovery.
Results
We report here a transcriptional analysis in six different organ types of syntenic regions totaling approximately 1 Mb between the legume plants barrel medic (Medicago truncatula) and soybean (Glycine max) using oligonucleotide tiling microarrays. This analysis detected transcription of over 80% of the predicted genes in both species. We also identified 499 and 660 transcriptionally active regions from barrel medic and soybean, respectively, over half of which locate outside of the predicted exons. We used the tiling array data to detect differential gene expression in the six examined organ types and found several genes that are preferentially expressed in the nodule. Further investigation revealed that some collinear genes exhibit different expression patterns between the two species.
Conclusion
These results demonstrate the utility of genome tiling microarrays in generating transcriptomic data to complement computational annotation of the newly available legume genome sequences. The tiling microarray data was further used to quantify gene expression levels in multiple organ types of two related legume species. Further development of this method should provide a new approach to comparative genomics aimed at elucidating genome organization and transcriptional regulation.