Li Lei, He Hang, Zhang Juan, Wang Xiangfeng, Bai Sulan, Stolc Viktor, Tongprasit Waraporn, Young Nevin D, Yu Oliver, Deng Xing-Wang
Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA.
Genome Biol. 2008;9(3):R57. doi: 10.1186/gb-2008-9-3-r57. Epub 2008 Mar 19.
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.
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.
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.
豆科植物是开花植物的第三大科,在作物物种中具有独特的固氮能力。由于近期的基因组测序工作,豆科植物现已成为少数几个在多个物种中拥有大量基因组和转录组数据的植物科之一。这些数据前所未有的复杂性和即将达到的完整性为新的发现方法创造了机会。
我们在此报告使用寡核苷酸平铺微阵列对豆科植物蒺藜苜蓿(Medicago truncatula)和大豆(Glycine max)之间共约1 Mb的同线区域的六种不同器官类型进行的转录分析。该分析检测到两个物种中超过80%的预测基因的转录。我们还分别从蒺藜苜蓿和大豆中鉴定出499个和660个转录活性区域,其中一半以上位于预测外显子之外。我们使用平铺阵列数据检测六种被检查器官类型中的差异基因表达,并发现了几个在根瘤中优先表达的基因。进一步研究表明,一些共线基因在两个物种之间表现出不同的表达模式。
这些结果证明了基因组平铺微阵列在生成转录组数据以补充新获得的豆科植物基因组序列的计算注释方面的实用性。平铺微阵列数据进一步用于量化两个相关豆科物种多种器官类型中的基因表达水平。该方法的进一步发展应为旨在阐明基因组组织和转录调控的比较基因组学提供一种新方法。