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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American Society for Microbiology
2019
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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 |
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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 |
_version_ |
1718377706677075968 |