Strengthening Insights in Microbial Ecological Networks from Theory to Applications

Networks encode the interactions between the components in complex systems and play an essential role in understanding complex systems. Microbial ecological networks provide a system-level insight for comprehensively understanding complex microbial interactions, which play important roles in microbi...

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Main Authors: Xiaofei Lv, Kankan Zhao, Ran Xue, Yuanhui Liu, Jianming Xu, Bin Ma
Format: Article
Language:English
Published: American Society for Microbiology 2019-05-01
Series:mSystems
Subjects:
Online Access:https://doi.org/10.1128/mSystems.00124-19
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spelling doaj-ab5abb44b6644e5caa977d85a45154772020-11-24T21:54:05ZengAmerican Society for MicrobiologymSystems2379-50772019-05-0143e00124-1910.1128/mSystems.00124-19Strengthening Insights in Microbial Ecological Networks from Theory to ApplicationsXiaofei LvKankan ZhaoRan XueYuanhui LiuJianming XuBin MaNetworks encode the interactions between the components in complex systems and play an essential role in understanding complex systems. Microbial ecological networks provide a system-level insight for comprehensively understanding complex microbial interactions, which play important roles in microbial community assembly.Networks encode the interactions between the components in complex systems and play an essential role in understanding complex systems. Microbial ecological networks provide a system-level insight for comprehensively understanding complex microbial interactions, which play important roles in microbial community assembly. However, microbial ecological networks are in their infancy of both network inference and biological interpretation. In this perspective, we articulate the theory gaps and limitations in building and interpreting microbial ecological networks, emphasize developing tools for evaluating the predicted microbial interaction relationships, and predict the potential applications of microbial ecological networks in the long run.https://doi.org/10.1128/mSystems.00124-19evaluationinferenceinterpretationmicrobial ecological networkmicrobial interactionsnetwork science
collection DOAJ
language English
format Article
sources DOAJ
author Xiaofei Lv
Kankan Zhao
Ran Xue
Yuanhui Liu
Jianming Xu
Bin Ma
spellingShingle Xiaofei Lv
Kankan Zhao
Ran Xue
Yuanhui Liu
Jianming Xu
Bin Ma
Strengthening Insights in Microbial Ecological Networks from Theory to Applications
mSystems
evaluation
inference
interpretation
microbial ecological network
microbial interactions
network science
author_facet Xiaofei Lv
Kankan Zhao
Ran Xue
Yuanhui Liu
Jianming Xu
Bin Ma
author_sort Xiaofei Lv
title Strengthening Insights in Microbial Ecological Networks from Theory to Applications
title_short Strengthening Insights in Microbial Ecological Networks from Theory to Applications
title_full Strengthening Insights in Microbial Ecological Networks from Theory to Applications
title_fullStr Strengthening Insights in Microbial Ecological Networks from Theory to Applications
title_full_unstemmed Strengthening Insights in Microbial Ecological Networks from Theory to Applications
title_sort strengthening insights in microbial ecological networks from theory to applications
publisher American Society for Microbiology
series mSystems
issn 2379-5077
publishDate 2019-05-01
description Networks encode the interactions between the components in complex systems and play an essential role in understanding complex systems. Microbial ecological networks provide a system-level insight for comprehensively understanding complex microbial interactions, which play important roles in microbial community assembly.Networks encode the interactions between the components in complex systems and play an essential role in understanding complex systems. Microbial ecological networks provide a system-level insight for comprehensively understanding complex microbial interactions, which play important roles in microbial community assembly. However, microbial ecological networks are in their infancy of both network inference and biological interpretation. In this perspective, we articulate the theory gaps and limitations in building and interpreting microbial ecological networks, emphasize developing tools for evaluating the predicted microbial interaction relationships, and predict the potential applications of microbial ecological networks in the long run.
topic evaluation
inference
interpretation
microbial ecological network
microbial interactions
network science
url https://doi.org/10.1128/mSystems.00124-19
work_keys_str_mv AT xiaofeilv strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT kankanzhao strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT ranxue strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT yuanhuiliu strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT jianmingxu strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT binma strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
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