Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lv, Xiaofei, Zhao, Kankan, Xue, Ran, Liu, Yuanhui, Xu, Jianming, Ma, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529547/
https://www.ncbi.nlm.nih.gov/pubmed/31117020
http://dx.doi.org/10.1128/mSystems.00124-19
_version_ 1783420415926861824
author Lv, Xiaofei
Zhao, Kankan
Xue, Ran
Liu, Yuanhui
Xu, Jianming
Ma, Bin
author_facet Lv, Xiaofei
Zhao, Kankan
Xue, Ran
Liu, Yuanhui
Xu, Jianming
Ma, Bin
author_sort Lv, Xiaofei
collection PubMed
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. 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 Online
Article
Text
id pubmed-6529547
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-65295472019-05-28 Strengthening Insights in Microbial Ecological Networks from Theory to Applications Lv, Xiaofei Zhao, Kankan Xue, Ran Liu, Yuanhui Xu, Jianming Ma, Bin mSystems Perspective 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. American Society for Microbiology 2019-05-21 /pmc/articles/PMC6529547/ /pubmed/31117020 http://dx.doi.org/10.1128/mSystems.00124-19 Text en Copyright © 2019 Lv et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Lv, Xiaofei
Zhao, Kankan
Xue, Ran
Liu, Yuanhui
Xu, Jianming
Ma, Bin
Strengthening Insights in Microbial Ecological Networks from Theory to Applications
title 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_short Strengthening Insights in Microbial Ecological Networks from Theory to Applications
title_sort strengthening insights in microbial ecological networks from theory to applications
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529547/
https://www.ncbi.nlm.nih.gov/pubmed/31117020
http://dx.doi.org/10.1128/mSystems.00124-19
work_keys_str_mv AT lvxiaofei strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT zhaokankan strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT xueran strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT liuyuanhui strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT xujianming strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications
AT mabin strengtheninginsightsinmicrobialecologicalnetworksfromtheorytoapplications