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衣藻基因共表达网络(ChlamyNET):揭示转录组全局特性及绿色谱系中关键共表达模式早期建立的衣藻基因共表达网络

ChlamyNET: a Chlamydomonas gene co-expression network reveals global properties of the transcriptome and the early setup of key co-expression patterns in the green lineage.

作者信息

Romero-Campero Francisco J, Perez-Hurtado Ignacio, Lucas-Reina Eva, Romero Jose M, Valverde Federico

机构信息

Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla, Reina Mercedes s/n, 41012, Sevilla, Spain.

Instituto de Bioquímica Vegetal y Fotosíntesis, Universidad de Sevilla-CSIC, Americo Vespucio 49, 41092, Sevilla, Spain.

出版信息

BMC Genomics. 2016 Mar 12;17:227. doi: 10.1186/s12864-016-2564-y.

Abstract

BACKGROUND

Chlamydomonas reinhardtii is the model organism that serves as a reference for studies in algal genomics and physiology. It is of special interest in the study of the evolution of regulatory pathways from algae to higher plants. Additionally, it has recently gained attention as a potential source for bio-fuel and bio-hydrogen production. The genome of Chlamydomonas is available, facilitating the analysis of its transcriptome by RNA-seq data. This has produced a massive amount of data that remains fragmented making necessary the application of integrative approaches based on molecular systems biology.

RESULTS

We constructed a gene co-expression network based on RNA-seq data and developed a web-based tool, ChlamyNET, for the exploration of the Chlamydomonas transcriptome. ChlamyNET exhibits a scale-free and small world topology. Applying clustering techniques, we identified nine gene clusters that capture the structure of the transcriptome under the analyzed conditions. One of the most central clusters was shown to be involved in carbon/nitrogen metabolism and signalling, whereas one of the most peripheral clusters was involved in DNA replication and cell cycle regulation. The transcription factors and regulators in the Chlamydomonas genome have been identified in ChlamyNET. The biological processes potentially regulated by them as well as their putative transcription factor binding sites were determined. The putative light regulated transcription factors and regulators in the Chlamydomonas genome were analyzed in order to provide a case study on the use of ChlamyNET. Finally, we used an independent data set to cross-validate the predictive power of ChlamyNET.

CONCLUSIONS

The topological properties of ChlamyNET suggest that the Chlamydomonas transcriptome posseses important characteristics related to error tolerance, vulnerability and information propagation. The central part of ChlamyNET constitutes the core of the transcriptome where most authoritative hub genes are located interconnecting key biological processes such as light response with carbon and nitrogen metabolism. Our study reveals that key elements in the regulation of carbon and nitrogen metabolism, light response and cell cycle identified in higher plants were already established in Chlamydomonas. These conserved elements are not only limited to transcription factors, regulators and their targets, but also include the cis-regulatory elements recognized by them.

摘要

背景

莱茵衣藻是一种模式生物,可作为藻类基因组学和生理学研究的参考。它在研究从藻类到高等植物的调控途径演变方面具有特殊意义。此外,它最近作为生物燃料和生物氢生产的潜在来源而受到关注。莱茵衣藻的基因组已可得,这便于通过RNA测序数据对其转录组进行分析。这产生了大量仍然碎片化的数据,使得基于分子系统生物学的整合方法的应用成为必要。

结果

我们基于RNA测序数据构建了一个基因共表达网络,并开发了一个基于网络的工具ChlamyNET,用于探索莱茵衣藻转录组。ChlamyNET呈现出无标度和小世界拓扑结构。应用聚类技术,我们识别出九个基因簇,它们捕捉了分析条件下转录组的结构。其中一个最核心的簇被证明参与碳/氮代谢和信号传导,而最外围的簇之一参与DNA复制和细胞周期调控。莱茵衣藻基因组中的转录因子和调控因子已在ChlamyNET中被识别。确定了它们可能调控的生物学过程以及它们假定的转录因子结合位点。对莱茵衣藻基因组中假定的光调控转录因子和调控因子进行了分析,以便提供一个关于ChlamyNET使用的案例研究。最后,我们使用一个独立数据集对ChlamyNET的预测能力进行交叉验证。

结论

ChlamyNET的拓扑特性表明,莱茵衣藻转录组具有与容错性、脆弱性和信息传播相关的重要特征。ChlamyNET的中心部分构成转录组的核心,其中大多数权威的枢纽基因位于此处,将关键的生物学过程如光反应与碳和氮代谢相互连接。我们的研究表明,高等植物中确定的碳和氮代谢、光反应及细胞周期调控的关键元件在莱茵衣藻中已经确立。这些保守元件不仅限于转录因子、调控因子及其靶标,还包括它们识别的顺式调控元件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfed/4788957/287814772183/12864_2016_2564_Fig1_HTML.jpg

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