Toward a Better Understanding of Species Interactions through Network Biology

ABSTRACT Within the last decade, there has been an explosion of multi-omics data generated for several microbial systems. At the same time, new methods of analysis have emerged that are based on inferring networks that link features both within and between species based on correlation in abundance....

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Autor principal:	Ryan S. McClure
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2019
Materias:	microbiome multi-omic network Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/027ac2f7e0e64bcaae6a75390fd45511
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spelling	oai:doaj.org-article:027ac2f7e0e64bcaae6a75390fd455112021-12-02T18:25:17ZToward a Better Understanding of Species Interactions through Network Biology10.1128/mSystems.00114-192379-5077https://doaj.org/article/027ac2f7e0e64bcaae6a75390fd455112019-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00114-19https://doaj.org/toc/2379-5077ABSTRACT Within the last decade, there has been an explosion of multi-omics data generated for several microbial systems. At the same time, new methods of analysis have emerged that are based on inferring networks that link features both within and between species based on correlation in abundance. These developments prompt two important questions. What can be done with network approaches to better understand microbial species interactions? What challenges remain in applying network approaches to query the more complex systems of natural settings? Here, I briefly describe what has been done and what questions still need to be answered. Over the next 5 to 10 years, we will be in a strong position to infer networks that contain multiple kinds of omic data and describe systems with multiple species. These applications will open the door for a better understanding and use of microbiomes across a variety of fields.Ryan S. McClureAmerican Society for Microbiologyarticlemicrobiomemulti-omicnetworkMicrobiologyQR1-502ENmSystems, Vol 4, Iss 3 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	microbiome multi-omic network Microbiology QR1-502
spellingShingle	microbiome multi-omic network Microbiology QR1-502 Ryan S. McClure Toward a Better Understanding of Species Interactions through Network Biology
description	ABSTRACT Within the last decade, there has been an explosion of multi-omics data generated for several microbial systems. At the same time, new methods of analysis have emerged that are based on inferring networks that link features both within and between species based on correlation in abundance. These developments prompt two important questions. What can be done with network approaches to better understand microbial species interactions? What challenges remain in applying network approaches to query the more complex systems of natural settings? Here, I briefly describe what has been done and what questions still need to be answered. Over the next 5 to 10 years, we will be in a strong position to infer networks that contain multiple kinds of omic data and describe systems with multiple species. These applications will open the door for a better understanding and use of microbiomes across a variety of fields.
format	article
author	Ryan S. McClure
author_facet	Ryan S. McClure
author_sort	Ryan S. McClure
title	Toward a Better Understanding of Species Interactions through Network Biology
title_short	Toward a Better Understanding of Species Interactions through Network Biology
title_full	Toward a Better Understanding of Species Interactions through Network Biology
title_fullStr	Toward a Better Understanding of Species Interactions through Network Biology
title_full_unstemmed	Toward a Better Understanding of Species Interactions through Network Biology
title_sort	toward a better understanding of species interactions through network biology
publisher	American Society for Microbiology
publishDate	2019
url	https://doaj.org/article/027ac2f7e0e64bcaae6a75390fd45511
work_keys_str_mv	AT ryansmcclure towardabetterunderstandingofspeciesinteractionsthroughnetworkbiology
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Toward a Better Understanding of Species Interactions through Network Biology

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