Transcriptional analysis of highly syntenic regions between Medicago truncatula and Glycine max using tiling microarrays

Lei Li, Hang He, Juan Zhang, Xiangfeng Wang, Sulan Bai, Viktor Stolc, Waraporn Tongprasit, Nevin D Young, Oliver Yu, Xing Wang Deng

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14 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numberR57
JournalGenome biology
Volume9
Issue number3
DOIs
StatePublished - Mar 19 2008

Bibliographical note

Funding Information:
We thank Xuanli Yao at Yale University for assistance in plant sample collection, and Terry Graham at Ohio State University for the Sinorhizobium strain. This work was supported by a grant from the NSF Plant Genome Program (DBI-0421675) to X-WD.

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