Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.
Int Rev Cell Mol Biol. 2010;281:49-89. doi: 10.1016/S1937-6448(10)81002-0.
Seeds are complex structures composed of several maternal and filial tissues which undergo rapid changes during development. In this review, the barley grain is taken as a cereal seed model. Following a brief description of the developing grain, recent progress in grain development modeling is described. 3-D/4-D models based on histological sections or nondestructive NMR measurements can be used to integrate a variety of datasets. Extensive transcriptome data are taken as a frame to augment our understanding of various molecular-physiological processes. Discussed are maternal influences on grain development and the role of different tissues (pericarp, nucellus, nucellar projection, endosperm, endosperm transfer cells). Programmed cell death (PCD) is taken to pinpoint tissue specificities and the importance of remobilization processes for grain development. Transcriptome data have also been used to derive transcriptional networks underlying differentiation and maturation in endosperm and embryo. They suggest that the "maturation hormone" ABA is important also in early grain development. Massive storage product synthesis during maturation is dependent on sufficient energy, which can only be provided by specific metabolic adaptations due to severe oxygen deficiencies within the seed. To integrate the great variety of data from different research areas in complex, predictive computational modeling as part of a systems biology approach is an important challenge of the future. First attempts of modeling barley grain metabolism are summarized.
种子是由几种母体和子体组织组成的复杂结构,在发育过程中会发生快速变化。在本综述中,以大麦籽粒作为谷物种子模型。简要描述了发育中的籽粒后,描述了籽粒发育建模的最新进展。基于组织学切片或无损 NMR 测量的 3D/4D 模型可用于整合各种数据集。广泛的转录组数据被用作框架,以增强我们对各种分子生理过程的理解。讨论了母体对子粒发育的影响以及不同组织(果皮、珠心、珠心突起、胚乳、胚乳转移细胞)的作用。程序性细胞死亡(PCD)被用来确定组织特异性以及对籽粒发育至关重要的再动员过程。转录组数据还被用于推导出胚乳和胚胎中分化和成熟的转录网络。它们表明,“成熟激素”ABA 在早期籽粒发育中也很重要。大量的贮藏物质在成熟过程中的合成依赖于充足的能量,而由于种子内部严重缺氧,只有通过特定的代谢适应才能提供这种能量。作为系统生物学方法的一部分,将来自不同研究领域的大量数据整合到复杂的预测计算模型中是未来的一个重要挑战。总结了大麦籽粒代谢建模的初步尝试。