Strengthening Insights in Microbial Ecological Networks from Theory to Applications

ABSTRACT 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 i...

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Autores principales: Xiaofei Lv, Kankan Zhao, Ran Xue, Yuanhui Liu, Jianming Xu, Bin Ma
Formato: article
Lenguaje:EN
Publicado: American Society for Microbiology 2019
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Acceso en línea:https://doaj.org/article/cd8da28c1ca94c1d9ae12a88ef7b6424
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spelling oai:doaj.org-article:cd8da28c1ca94c1d9ae12a88ef7b64242021-12-02T18:44:38ZStrengthening Insights in Microbial Ecological Networks from Theory to Applications10.1128/mSystems.00124-192379-5077https://doaj.org/article/cd8da28c1ca94c1d9ae12a88ef7b64242019-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00124-19https://doaj.org/toc/2379-5077ABSTRACT 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.Xiaofei LvKankan ZhaoRan XueYuanhui LiuJianming XuBin MaAmerican Society for Microbiologyarticleevaluationinferenceinterpretationmicrobial ecological networkmicrobial interactionsnetwork scienceMicrobiologyQR1-502ENmSystems, Vol 4, Iss 3 (2019)
institution DOAJ
collection DOAJ
language EN
topic evaluation
inference
interpretation
microbial ecological network
microbial interactions
network science
Microbiology
QR1-502
spellingShingle evaluation
inference
interpretation
microbial ecological network
microbial interactions
network science
Microbiology
QR1-502
Xiaofei Lv
Kankan Zhao
Ran Xue
Yuanhui Liu
Jianming Xu
Bin Ma
Strengthening Insights in Microbial Ecological Networks from Theory to Applications
description ABSTRACT 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.
format article
author Xiaofei Lv
Kankan Zhao
Ran Xue
Yuanhui Liu
Jianming Xu
Bin Ma
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
publishDate 2019
url https://doaj.org/article/cd8da28c1ca94c1d9ae12a88ef7b6424
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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