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褐藻(褐藻纲)分泌蛋白组的全基因组计算分析。

Genome-wide computational analysis of the secretome of brown algae (Phaeophyceae).

作者信息

Terauchi Makoto, Yamagishi Takahiro, Hanyuda Takeaki, Kawai Hiroshi

机构信息

Organization for Advanced and Integrated Research, Kobe University, Kobe 657-8501, Japan.

Research Center for Inland Seas, Kobe University, Kobe 657-8501, Japan.

出版信息

Mar Genomics. 2017 Apr;32:49-59. doi: 10.1016/j.margen.2016.12.002. Epub 2017 Jan 5.

Abstract

Brown algae have evolved complex multicellularity in the heterokont lineage. They are phylogenetically distant to land plants, fungi and animals. Especially, the members of Laminariales (so-called kelps) have developed highly differentiated tissues. Extracellular matrix (ECM) plays pivotal roles in a number of essential processes in multicellular organisms, such as cell adhesion, cell and tissue differentiations, cell-to-cell communication, and responses to environmental stimuli. In these processes, a set of extracellular secreted proteins called the secretome operates remodeling of the physicochemical nature of ECM and signal transduction by interacting with cell surface proteins and signaling molecules. Characterization of the secretome is a critical step to clarify the contributions of ECM to the multicellularity of brown algae. However, the identity of the brown algal secretome has been poorly understood. In order to reveal the repertory of the brown algal secretome and its involvement in the evolution of Laminariales, we conducted a genome-wide analysis of the brown algal secretome utilizing the published complete genome data of Ectocarpus siliculosus and Saccharina japonica as well as newly obtained RNA-seq data of seven laminarialean species (Agarum clathratum, Alaria crassifolia, Aureophycus aleuticus, Costaria costata, Pseudochorda nagaii, Saccharina angustata and Undaria pinnatifida) largely covering the laminarialean families. We established the in silico pipeline to systematically and accurately detect the secretome by combining multiple prediction algorithms for the N-terminal signal peptide and transmembrane domain within the protein sequence. From 16,189 proteins of E. siliculosus and 18,733 proteins of S. japonica, 552 and 964 proteins respectively were predicted to be classified as the secretome. Conserved domain analysis showed that the domain repertory were very similar to each other, and that of the brown algal secretome was partially common with that of the secretome of other multicellular organisms (land plants, fungi and animals). In the laminarialean species, it was estimated that the gene abundance and the domain architecture of putative ECM remodeling-related proteins were altered compared with those of E. siliculosus, and that the alteration started from the basal group of Laminariales. These results suggested that brown algae have developed their own secretome, and its functions became more elaborated in the more derived members in Laminariales.

摘要

褐藻在不等鞭毛类谱系中进化出了复杂的多细胞性。它们在系统发育上与陆地植物、真菌和动物相距甚远。特别是海带目(所谓的海带)的成员已经发育出高度分化的组织。细胞外基质(ECM)在多细胞生物的许多基本过程中发挥着关键作用,如细胞黏附、细胞和组织分化、细胞间通讯以及对环境刺激的反应。在这些过程中,一组称为分泌蛋白质组的细胞外分泌蛋白通过与细胞表面蛋白和信号分子相互作用来重塑ECM的物理化学性质并进行信号转导。对分泌蛋白质组的表征是阐明ECM对褐藻多细胞性贡献的关键步骤。然而,褐藻分泌蛋白质组的身份一直鲜为人知。为了揭示褐藻分泌蛋白质组的组成及其在海带目进化中的作用,我们利用已发表的细基江蓠和海带的完整基因组数据以及新获得的七种海带目物种(粗枝软骨藻、厚叶裙带菜、阿留申金藻、肋状海带、长囊水云、狭叶海带和裙带菜)的RNA测序数据,对褐藻分泌蛋白质组进行了全基因组分析,这些物种基本涵盖了海带目各科。我们建立了计算机分析流程,通过结合蛋白质序列中N端信号肽和跨膜结构域的多种预测算法,系统且准确地检测分泌蛋白质组。在细基江蓠的16189个蛋白质和海带的18733个蛋白质中,分别有552个和964个蛋白质被预测归类为分泌蛋白质组。保守结构域分析表明,这些结构域组成彼此非常相似,并且褐藻分泌蛋白质组的结构域组成与其他多细胞生物(陆地植物、真菌和动物)的分泌蛋白质组部分相同。在海带目物种中,据估计与假定的ECM重塑相关蛋白质的基因丰度和结构域结构与细基江蓠相比发生了变化,并且这种变化始于海带目的基部类群。这些结果表明褐藻已经发展出了自己的分泌蛋白质组,并且其功能在海带目中更为进化的成员中变得更加精细。

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