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调控基因的拓扑聚类赋予木薯对木薯褐色条斑病毒(CBSV)的致病宽容性。

Topological clustering of regulatory genes confers pathogenic tolerance to cassava brown streak virus (CBSV) in cassava.

机构信息

Bioinformatics and Systems Biology Program, School of Bioresources and Technology, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, 10150, Thailand.

Center for Agricultural Systems Biology, Systems Biology and Bioinformatics Research Group, Pilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, 10150, Thailand.

出版信息

Sci Rep. 2021 Apr 12;11(1):7872. doi: 10.1038/s41598-021-86806-x.

Abstract

Robustness, a naïve property of biological systems, enables organisms to maintain functions during perturbation and is crucial for improving the resilience of crops to prevailing stress conditions and diseases, guaranteeing food security. Most studies of robustness in crops have focused on genetic superiority based upon individual genes, overlooking the collaborative actions of multiple responsive genes and the regulatory network topology. This research aims to uncover patterns of gene cooperation leading to organismal robustness by studying the topology of gene co-expression networks (GCNs) of both CBSV virus resistant and susceptible cassava cultivars. The resulting GCNs show higher topological clustering of cooperative genes in the resistant cultivar, suggesting that the network architecture is central to attaining robustness. Despite a reduction in the number of hub genes in the resistant cultivar following the perturbation, essential biological functions contained in the network were maintained through neighboring genes that withstood the shock. The susceptible cultivar seemingly coped by inducing more gene actions in the network but could not maintain the functions required for plant growth. These findings underscore the importance of regulatory network architecture in ensuring phenotypic robustness and deepen our understanding of transcriptional regulation.

摘要

稳健性是生物系统的一种天生属性,它使生物体能够在受到干扰时维持其功能,对于提高作物对流行胁迫条件和疾病的适应能力、保障粮食安全至关重要。大多数关于作物稳健性的研究都集中在基于单个基因的遗传优势上,而忽略了多个响应基因的协同作用和调控网络拓扑结构。本研究旨在通过研究对 CBSV 病毒具有抗性和敏感的木薯品种的基因共表达网络 (GCN) 的拓扑结构,揭示导致生物体稳健性的基因合作模式。研究结果表明,在抗性品种中,与合作基因相关的 GCN 具有更高的拓扑聚类性,这表明网络结构对于实现稳健性至关重要。尽管在受到干扰后,抗性品种中的枢纽基因数量减少,但网络中包含的基本生物功能仍然通过经受住冲击的邻近基因得以维持。敏感品种似乎通过在网络中诱导更多的基因作用来应对,但无法维持植物生长所需的功能。这些发现强调了调控网络架构在确保表型稳健性方面的重要性,并加深了我们对转录调控的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db84/8041763/1df140e8daaf/41598_2021_86806_Fig1_HTML.jpg

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