Southern Cross Plant Science, Southern Cross University, Lismore, NSW, Australia.
Plant Biotechnol J. 2012 Aug;10(6):668-79. doi: 10.1111/j.1467-7652.2012.00705.x. Epub 2012 Jun 5.
Wheat is a critical food source globally. Food security is an increasing concern; current production levels are not expected to keep pace with global demand. New technologies have provided a vast array of wheat genetic data; however, best use of this data requires placing it within a framework in which the various genes, pathways and interactions can be examined. Here we present the first systematic comparison of the global transcriptomes of the aleurone and starchy endosperm of the developing wheat seed (Triticum aestivum), at time points critical to the development of the aleurone layer; 6-, 9- and 14-day post-anthesis. Illumina sequencing gave 25-55 million sequence reads per tissue, of the trimmed reads, 70%-81% mapped to reference expressed sequence transcripts. Transcript abundance was analysed by performing RNA-Seq normalization to generate reads per kilobase of exon model per million mapped reads values, and these were used in comparative analyses between the tissues at each time point using Kal's Z-test. This identified 9414-13 202 highly differentially expressed transcripts that were categorized on the basis of tissue and time point expression and functionally analysed revealing two very distinct tissues. The results demonstrate the fundamental biological reprogramming of the two major biologically and economically significant tissues of the wheat seed over this time course. Understanding these changes in gene expression profiles is essential to mining the potential these tissues hold for human nutrition and contributing to the systems biology of this important crop plant.
小麦是全球重要的粮食来源。粮食安全日益受到关注;预计当前的产量水平无法跟上全球需求的步伐。新技术提供了大量的小麦遗传数据;然而,要充分利用这些数据,就需要将其置于一个框架内,以便检查各种基因、途径和相互作用。在这里,我们首次对发育中的小麦种子(Triticum aestivum)糊粉层和粉质胚乳的全球转录组进行了系统比较,这些时间点对糊粉层的发育至关重要;授粉后 6、9 和 14 天。Illumina 测序为每个组织提供了 25-5500 万个序列读段,经过修剪的读段中,70%-81%与参考表达序列转录本相对应。通过执行 RNA-Seq 标准化来分析转录物丰度,以生成每百万映射读段的外显子模型每千碱基的读段数值,并使用 Kal 的 Z 检验在每个时间点的组织之间进行比较分析。这确定了 9414-13202 个高度差异表达的转录本,根据组织和时间点的表达进行分类,并进行了功能分析,揭示了两个非常不同的组织。结果表明,在这段时间内,小麦种子的两个主要生物学和经济上重要的组织发生了基本的生物学重编程。了解这些基因表达谱的变化对于挖掘这些组织在人类营养方面的潜力以及为这一重要作物的系统生物学做出贡献至关重要。