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Transcriptional control of nutrient partitioning during rice grain filling

机译:水稻灌浆期间营养分配的转录控制

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Cereal grains accumulate carbohydrates, storage proteins and fatty acids via different pathways during their development. Many genes that participate in nutrient partitioning during grain filling and that affect starch quality have been identified. To understand how the expression of these genes is coordinated during grain development, a genomic approach to surveying the participation and interactions of all the pathways is necessary. Using recently published rice genome information, we designed a rice GeneChip microarray that covers half the rice genome. By monitoring the expression of 21 000 genes in parallel, we identified genes involved in the grain filling process and found that the expression of genes involved in different pathways is coordinately controlled in a synchronized fashion during grain filling. Interestingly, a known promoter element in genes encoding seed storage proteins, AACA, is statistically over-rep resented among the 269 genes in different pathways with diverse functions that are significantly up-regulated during grain filling. By expression pattern matching, a group of transcription factors that have the potential to interact with this element was identified. We also found that most genes in the starch biosynthetic pathway show multiple distinct spatial and temporal expression patterns, suggesting that different isoforms of a given enzyme are expressed in different tissues and at different developmental stages. Our results reveal key regulatory machinery and provide an opportunity for modifying multiple pathways by manipulating key regulatory elements for improving grain quality and quantity.
机译:谷物在其发育过程中通过不同的途径累积碳水化合物,储存蛋白和脂肪酸。已经鉴定了在谷物填充期间参与营养分配并且影响淀粉质量的许多基因。要了解如何在粮食开发期间协调这些基因的表达,需要一种对所有途径的参与和相互作用进行调查的基因组方法。使用最近发表的大米基因组信息,我们设计了一种覆盖水稻基因组的一半的水稻GeneChip微阵列。通过并行监测21 000个基因的表达,我们鉴定了谷物填充过程中涉及的基因,并发现在颗粒填充期间以同步的方式协调不同途径的基因的表达。有趣的是,编码种子储存蛋白的基因中的已知启动子元素AACA在不同途径中的269个基因中具有统计学上的,具有多样化的功能,在谷物填充过程中显着上调。通过表达模式匹配,鉴定了一组具有与该元素相互作用的可能性的转录因子。我们还发现淀粉生物合成途径中的大多数基因显示多种不同的空间和时间表达模式,表明给定酶的不同同种型在不同的组织中表达和不同的发育阶段。我们的结果显示了关键监管机械,并通过操纵关键调节元件来修改多种途径的机会,以提高粒度和数量。

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