Pôle Rhône Alpes de Bioinformatique, Université Lyon 1, Bâtiment Gregor Mendel, 16 rue Raphaël Dubois, 69622 Villeurbanne cedex, France.
BMC Genomics. 2010 May 31;11:344. doi: 10.1186/1471-2164-11-344.
Recent developments in high-throughput methods of analyzing transcriptomic profiles are promising for many areas of biology, including ecophysiology. However, although commercial microarrays are available for most common laboratory models, transcriptome analysis in non-traditional model species still remains a challenge. Indeed, the signal resulting from heterologous hybridization is low and difficult to interpret because of the weak complementarity between probe and target sequences, especially when no microarray dedicated to a genetically close species is available.
We show here that transcriptome analysis in a species genetically distant from laboratory models is made possible by using MAXRS, a new method of analyzing heterologous hybridization on microarrays. This method takes advantage of the design of several commercial microarrays, with different probes targeting the same transcript. To illustrate and test this method, we analyzed the transcriptome of king penguin pectoralis muscle hybridized to Affymetrix chicken microarrays, two organisms separated by an evolutionary distance of approximately 100 million years. The differential gene expression observed between different physiological situations computed by MAXRS was confirmed by real-time PCR on 10 genes out of 11 tested.
MAXRS appears to be an appropriate method for gene expression analysis under heterologous hybridization conditions.
高通量分析转录组谱的方法的最新进展在包括生态生理学在内的许多生物学领域都很有前景。然而,尽管大多数常见的实验室模型都有商业微阵列,但非传统模式物种的转录组分析仍然是一个挑战。事实上,由于探针和靶序列之间的弱互补性,异源杂交产生的信号很低,而且难以解释,尤其是在没有专门针对亲缘物种的微阵列的情况下。
我们在这里展示,通过使用 MAXRS 这种在微阵列上分析异源杂交的新方法,使得与实验室模型亲缘关系较远的物种的转录组分析成为可能。该方法利用了几个商业微阵列的设计,这些微阵列都有针对同一转录物的不同探针。为了说明和测试这种方法,我们分析了杂交于 Affymetrix 鸡微阵列的王企鹅胸肌的转录组,这两个生物体之间的进化距离约为 1 亿年。通过 MAXRS 计算出的不同生理状态下的差异基因表达,通过对 11 个测试基因中的 10 个进行实时 PCR 得到了验证。
MAXRS 似乎是一种在异源杂交条件下进行基因表达分析的合适方法。