Interrogation of Internal Workings in Microbial Community Assembly: Play a Game through a Behavioral Network?

ABSTRACT Increasing evidence shows that the influence of microbiota on biogeochemical cycling, plant development, and human health is executed through a complex network of microbe-microbe interactions. However, characterizing how microbes interact and work together within closely packed and highly h...

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Autores principales: Qian Wang, Xinjuan Liu, Libo Jiang, Yige Cao, Xiang Zhan, Christopher H. Griffin, Rongling Wu
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Lenguaje:EN
Publicado: American Society for Microbiology 2019
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spelling oai:doaj.org-article:eb7830e35667452b9731b5b680776dcb2021-12-02T19:47:35ZInterrogation of Internal Workings in Microbial Community Assembly: Play a Game through a Behavioral Network?10.1128/mSystems.00550-192379-5077https://doaj.org/article/eb7830e35667452b9731b5b680776dcb2019-10-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00550-19https://doaj.org/toc/2379-5077ABSTRACT Increasing evidence shows that the influence of microbiota on biogeochemical cycling, plant development, and human health is executed through a complex network of microbe-microbe interactions. However, characterizing how microbes interact and work together within closely packed and highly heterogeneous microbial ecosystems is extremely challenging. Here, we describe a rule-of-thumb framework for visualizing polymicrobial interactions and extracting general principles that underlie microbial communities. We integrate elements of metabolic ecology, behavioral ecology, and game theory to quantify the interactive strategies by which microbes at any taxonomic level compete for resources and cooperate symbiotically with each other to form and stabilize ecological communities. We show how the framework can chart an omnidirectional landscape of microbial cooperation and competition that may drive various natural processes. This framework can be implemented into genome-wide association studies to unravel the genetic mechanisms underlying microbial interaction networks and their evolutionary consequences along spatiotemporal gradients. IMPORTANCE Identifying general biological rules that underlie the complexity and heterogeneity of microbial communities has proven to be highly challenging. We present a rule-of-thumb framework for studying and characterizing how microbes interact with each other across different taxa to determine community behavior and dynamics. This framework is computationally simple but conceptually meaningful, and it can provide a starting point to generate novel biological hypotheses about microbial interactions and explore internal workings of microbial community assembly in depth.Qian WangXinjuan LiuLibo JiangYige CaoXiang ZhanChristopher H. GriffinRongling WuAmerican Society for Microbiologyarticlegame theorycompetitioncooperationmicrobial interaction networkMicrobiologyQR1-502ENmSystems, Vol 4, Iss 5 (2019)
institution DOAJ
collection DOAJ
language EN
topic game theory
competition
cooperation
microbial interaction network
Microbiology
QR1-502
spellingShingle game theory
competition
cooperation
microbial interaction network
Microbiology
QR1-502
Qian Wang
Xinjuan Liu
Libo Jiang
Yige Cao
Xiang Zhan
Christopher H. Griffin
Rongling Wu
Interrogation of Internal Workings in Microbial Community Assembly: Play a Game through a Behavioral Network?
description ABSTRACT Increasing evidence shows that the influence of microbiota on biogeochemical cycling, plant development, and human health is executed through a complex network of microbe-microbe interactions. However, characterizing how microbes interact and work together within closely packed and highly heterogeneous microbial ecosystems is extremely challenging. Here, we describe a rule-of-thumb framework for visualizing polymicrobial interactions and extracting general principles that underlie microbial communities. We integrate elements of metabolic ecology, behavioral ecology, and game theory to quantify the interactive strategies by which microbes at any taxonomic level compete for resources and cooperate symbiotically with each other to form and stabilize ecological communities. We show how the framework can chart an omnidirectional landscape of microbial cooperation and competition that may drive various natural processes. This framework can be implemented into genome-wide association studies to unravel the genetic mechanisms underlying microbial interaction networks and their evolutionary consequences along spatiotemporal gradients. IMPORTANCE Identifying general biological rules that underlie the complexity and heterogeneity of microbial communities has proven to be highly challenging. We present a rule-of-thumb framework for studying and characterizing how microbes interact with each other across different taxa to determine community behavior and dynamics. This framework is computationally simple but conceptually meaningful, and it can provide a starting point to generate novel biological hypotheses about microbial interactions and explore internal workings of microbial community assembly in depth.
format article
author Qian Wang
Xinjuan Liu
Libo Jiang
Yige Cao
Xiang Zhan
Christopher H. Griffin
Rongling Wu
author_facet Qian Wang
Xinjuan Liu
Libo Jiang
Yige Cao
Xiang Zhan
Christopher H. Griffin
Rongling Wu
author_sort Qian Wang
title Interrogation of Internal Workings in Microbial Community Assembly: Play a Game through a Behavioral Network?
title_short Interrogation of Internal Workings in Microbial Community Assembly: Play a Game through a Behavioral Network?
title_full Interrogation of Internal Workings in Microbial Community Assembly: Play a Game through a Behavioral Network?
title_fullStr Interrogation of Internal Workings in Microbial Community Assembly: Play a Game through a Behavioral Network?
title_full_unstemmed Interrogation of Internal Workings in Microbial Community Assembly: Play a Game through a Behavioral Network?
title_sort interrogation of internal workings in microbial community assembly: play a game through a behavioral network?
publisher American Society for Microbiology
publishDate 2019
url https://doaj.org/article/eb7830e35667452b9731b5b680776dcb
work_keys_str_mv AT qianwang interrogationofinternalworkingsinmicrobialcommunityassemblyplayagamethroughabehavioralnetwork
AT xinjuanliu interrogationofinternalworkingsinmicrobialcommunityassemblyplayagamethroughabehavioralnetwork
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AT yigecao interrogationofinternalworkingsinmicrobialcommunityassemblyplayagamethroughabehavioralnetwork
AT xiangzhan interrogationofinternalworkingsinmicrobialcommunityassemblyplayagamethroughabehavioralnetwork
AT christopherhgriffin interrogationofinternalworkingsinmicrobialcommunityassemblyplayagamethroughabehavioralnetwork
AT ronglingwu interrogationofinternalworkingsinmicrobialcommunityassemblyplayagamethroughabehavioralnetwork
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