Wang Han, Lan Ping, Shen Ren Fang
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P. R. China.
Proteomics. 2016 Mar;16(5):877-93. doi: 10.1002/pmic.201500265.
Plants and other multicellular organisms consist of many types of specialized cells. Systems-wide exploration of large-scale information from singe cell level is essential to understand how cell works. Root hairs, tubular-shaped outgrowths from root epidermal cells, play important roles in the acquisition of nutrients and water, in the interaction with microbe, and in plant anchorage, and represent an ideal model to study the biology of a single cell type. Single cell sampling combined with omics approaches has been applied to study plant root hairs. This review emphasizes the integration of omics approaches towards understanding the systems biology of root hairs, unraveling the common and plant species-specific properties of root hairs, as well as the concordance of protein and transcript abundance. Understanding plant root hair biology by mining the integrated omics data will provide a way to know how a single cell differentiates, elongates, and functions, which might help molecularly modify crops for developing sustainable agriculture practices.
植物和其他多细胞生物由多种类型的特化细胞组成。从单细胞水平对大规模信息进行全系统探索对于理解细胞如何工作至关重要。根毛是根表皮细胞形成的管状突出物，在获取养分和水分、与微生物相互作用以及植物固定方面发挥着重要作用，是研究单一细胞类型生物学的理想模型。单细胞采样与组学方法相结合已被用于研究植物根毛。本综述强调了组学方法在理解根毛系统生物学、揭示根毛的共性和植物物种特异性特性以及蛋白质和转录本丰度一致性方面的整合。通过挖掘整合的组学数据来理解植物根毛生物学，将提供一种了解单个细胞如何分化、伸长和发挥功能的方法，这可能有助于从分子层面改良作物，以发展可持续农业实践。
