Department of Plant Biology, Cornell University, Ithaca, New York, USA.
Genome Biol Evol. 2010;2:534-46. doi: 10.1093/gbe/evq038. Epub 2010 Jul 5.
Evolutionary biologists are increasingly comparing gene expression patterns across species. Due to the way in which expression assays are normalized, such studies provide no direct information about expression per gene copy (dosage responses) or per cell and can give a misleading picture of genes that are differentially expressed. We describe an assay for estimating relative expression per cell. When used in conjunction with transcript profiling data, it is possible to compare the sizes of whole transcriptomes, which in turn makes it possible to compare expression per cell for each gene in the transcript profiling data set. We applied this approach, using quantitative reverse transcriptase-polymerase chain reaction and high throughput RNA sequencing, to a recently formed allopolyploid and showed that its leaf transcriptome was approximately 1.4-fold larger than either progenitor transcriptome (70% of the sum of the progenitor transcriptomes). In contrast, the allopolyploid genome is 94.3% as large as the sum of its progenitor genomes and retains > or =93.5% of the sum of its progenitor gene complements. Thus, "transcriptome downsizing" is greater than genome downsizing. Using this transcriptome size estimate, we inferred dosage responses for several thousand genes and showed that the majority exhibit partial dosage compensation. Homoeologue silencing is nonrandomly distributed across dosage responses, with genes showing extreme responses in either direction significantly more likely to have a silent homoeologue. This experimental approach will add value to transcript profiling experiments involving interspecies and interploidy comparisons by converting expression per transcriptome to expression per genome, eliminating the need for assumptions about transcriptome size.
进化生物学家越来越多地比较不同物种的基因表达模式。由于表达分析的归一化方式,此类研究无法直接提供每个基因拷贝(剂量反应)或每个细胞的表达信息,并且可能会对差异表达的基因产生误导。我们描述了一种估计每个细胞相对表达量的测定方法。当与转录谱数据结合使用时,就可以比较整个转录组的大小,从而可以比较转录谱数据集中每个基因的细胞内表达量。我们应用这种方法,使用定量逆转录-聚合酶链反应和高通量 RNA 测序,对最近形成的异源多倍体进行了研究,结果表明其叶片转录组大约是两个亲本体转录组的 1.4 倍(亲本转录组总和的 70%)。相比之下,异源多倍体的基因组大小仅为其亲本基因组总和的 94.3%,并保留了其亲本基因库总和的>或=93.5%。因此,“转录组缩小”大于基因组缩小。利用该转录组大小估计值,我们推断了数千个基因的剂量反应,并表明大多数基因表现出部分剂量补偿。同源基因沉默在剂量反应中是随机分布的,在任何方向上表现出极端反应的基因更有可能有一个沉默的同源基因。这种实验方法将通过将每个转录组的表达量转换为每个基因组的表达量,为涉及种间和倍性比较的转录谱实验增加价值,从而消除了对转录组大小的假设。