Comparative Transcriptomic Analyses of Vegetable and Grain Pea (Pisum sativum L.) Seed Development.

Comparative Transcriptomic Analyses of Vegetable and Grain Pea (Pisum sativum L.) Seed Development.
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蔬菜和谷物豌豆 (Pisum sativum L.) 种子发育的比较转录组分析

DOI:
10.3389/fpls.2015.01039
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发表时间:
2015
影响因子:
5.6
通讯作者:
Gong Y
Gong Y
中科院分区:
生物学2区
文献类型:
--
作者:
Liu N;Zhang G;Xu S;Mao W;Hu Q;Gong Y

文献摘要

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研究豌豆种子发育的分子调控机制对豌豆育种具有重要意义。在这项研究中,我们使用高通量RNA-Seq和生物信息学分析,以检查在种子发育过程中的基因表达的变化,在蔬菜豌豆和粮食豌豆,并比较这两种豌豆类型的基因表达谱。RNA-Seq产生18.7 G的原始数据,然后将其从头组装成77,273个单基因,平均长度为930 bp。我们的研究结果表明,豌豆种子发育过程中的转录控制是一个高度协调的过程。菜用豌豆和粒用豌豆在种子成熟前期和后期分别有459个和801个基因差异表达。在豌豆种子发育过程中,可溶性糖和淀粉代谢相关基因被显著激活,与种子中糖和淀粉积累的开始相一致。通过对菜用豌豆(高种子可溶性糖、低淀粉)和粒用豌豆(高种子淀粉、低可溶性糖)中糖和淀粉生物合成相关基因的比较分析,发现菜用豌豆和粒用豌豆种子中可溶性糖和淀粉生物合成通量与发育后期相关基因的差异表达有关。通过使用30个随机选择的基因的实时定量RT-PCR分析来验证RNA-Seq数据。据我们所知,这项工作代表了豌豆种子发育转录组学的首次报道。所获得的结果提供了一个基础,以支持未来的努力,以解开控制豌豆种子的发育生物学的潜在机制,并作为一个宝贵的资源,为改善豌豆育种。
Understanding the molecular mechanisms regulating pea seed developmental process is extremely important for pea breeding. In this study, we used high-throughput RNA-Seq and bioinformatics analyses to examine the changes in gene expression during seed development in vegetable pea and grain pea, and compare the gene expression profiles of these two pea types. RNA-Seq generated 18.7 G of raw data, which were then de novo assembled into 77,273 unigenes with a mean length of 930 bp. Our results illustrate that transcriptional control during pea seed development is a highly coordinated process. There were 459 and 801 genes differentially expressed at early and late seed maturation stages between vegetable pea and grain pea, respectively. Soluble sugar and starch metabolism related genes were significantly activated during the development of pea seeds coinciding with the onset of accumulation of sugar and starch in the seeds. A comparative analysis of genes involved in sugar and starch biosynthesis in vegetable pea (high seed soluble sugar and low starch) and grain pea (high seed starch and low soluble sugar) revealed that differential expression of related genes at late development stages results in a negative correlation between soluble sugar and starch biosynthetic flux in vegetable and grain pea seeds. RNA-Seq data was validated by using real-time quantitative RT-PCR analysis for 30 randomly selected genes. To our knowledge, this work represents the first report of seed development transcriptomics in pea. The obtained results provide a foundation to support future efforts to unravel the underlying mechanisms that control the developmental biology of pea seeds, and serve as a valuable resource for improving pea breeding.