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...
Main Authors: | , , , , , |
---|---|
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 |
id |
doaj-ab5abb44b6644e5caa977d85a4515477 |
---|---|
record_format |
Article |
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 |
_version_ |
1716629618520227840 |