Suppr超能文献

使用VisANT 5.0可视化微生物群落中的代谢相互作用网络。

Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0.

作者信息

Granger Brian R, Chang Yi-Chien, Wang Yan, DeLisi Charles, Segrè Daniel, Hu Zhenjun

机构信息

Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America.

Center for Advanced Genomic Technology, Boston University, Boston, Massachusetts, United States of America.

出版信息

PLoS Comput Biol. 2016 Apr 15;12(4):e1004875. doi: 10.1371/journal.pcbi.1004875. eCollection 2016 Apr.

Abstract

The complexity of metabolic networks in microbial communities poses an unresolved visualization and interpretation challenge. We address this challenge in the newly expanded version of a software tool for the analysis of biological networks, VisANT 5.0. We focus in particular on facilitating the visual exploration of metabolic interaction between microbes in a community, e.g. as predicted by COMETS (Computation of Microbial Ecosystems in Time and Space), a dynamic stoichiometric modeling framework. Using VisANT's unique metagraph implementation, we show how one can use VisANT 5.0 to explore different time-dependent ecosystem-level metabolic networks. In particular, we analyze the metabolic interaction network between two bacteria previously shown to display an obligate cross-feeding interdependency. In addition, we illustrate how a putative minimal gut microbiome community could be represented in our framework, making it possible to highlight interactions across multiple coexisting species. We envisage that the "symbiotic layout" of VisANT can be employed as a general tool for the analysis of metabolism in complex microbial communities as well as heterogeneous human tissues. VisANT is freely available at: http://visant.bu.edu and COMETS at http://comets.bu.edu.

摘要

微生物群落中代谢网络的复杂性带来了一个尚未解决的可视化和解释难题。我们在用于生物网络分析的软件工具VisANT 5.0的最新扩展版本中应对这一挑战。我们特别关注促进对群落中微生物间代谢相互作用的可视化探索,例如由动态化学计量建模框架COMETS(时空微生物生态系统计算)预测的相互作用。利用VisANT独特的元图实现,我们展示了如何使用VisANT 5.0来探索不同的随时间变化的生态系统水平代谢网络。特别是,我们分析了先前显示出专性交叉喂养相互依存关系的两种细菌之间的代谢相互作用网络。此外,我们说明了在我们的框架中如何表示一个假定的最小肠道微生物群落,从而有可能突出多个共存物种之间的相互作用。我们设想,VisANT的“共生布局”可作为分析复杂微生物群落以及异质人体组织中代谢的通用工具。VisANT可在以下网址免费获取:http://visant.bu.edu ,COMETS可在http://comets.bu.edu获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33ca/4833320/80c1c48d3df1/pcbi.1004875.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验