Using metacommunity ecology to understand environmental metabolomes

Despite growing interest in environmental metabolomics, we lack conceptual frameworks for considering how metabolites vary across space and time in ecological systems. Here, the authors apply (species) community assembly concepts to metabolomics data, offering a way forward in understanding the asse...

Full description

Saved in:
Bibliographic Details
Main Authors: Robert E. Danczak, Rosalie K. Chu, Sarah J. Fansler, Amy E. Goldman, Emily B. Graham, Malak M. Tfaily, Jason Toyoda, James C. Stegen
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Q
Online Access:https://doaj.org/article/b402218f973543c79bc547583cfe25b4
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:doaj.org-article:b402218f973543c79bc547583cfe25b4
record_format dspace
spelling oai:doaj.org-article:b402218f973543c79bc547583cfe25b42021-12-02T14:16:32ZUsing metacommunity ecology to understand environmental metabolomes10.1038/s41467-020-19989-y2041-1723https://doaj.org/article/b402218f973543c79bc547583cfe25b42020-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19989-yhttps://doaj.org/toc/2041-1723Despite growing interest in environmental metabolomics, we lack conceptual frameworks for considering how metabolites vary across space and time in ecological systems. Here, the authors apply (species) community assembly concepts to metabolomics data, offering a way forward in understanding the assembly of metabolite assemblages.Robert E. DanczakRosalie K. ChuSarah J. FanslerAmy E. GoldmanEmily B. GrahamMalak M. TfailyJason ToyodaJames C. StegenNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Robert E. Danczak
Rosalie K. Chu
Sarah J. Fansler
Amy E. Goldman
Emily B. Graham
Malak M. Tfaily
Jason Toyoda
James C. Stegen
Using metacommunity ecology to understand environmental metabolomes
description Despite growing interest in environmental metabolomics, we lack conceptual frameworks for considering how metabolites vary across space and time in ecological systems. Here, the authors apply (species) community assembly concepts to metabolomics data, offering a way forward in understanding the assembly of metabolite assemblages.
format article
author Robert E. Danczak
Rosalie K. Chu
Sarah J. Fansler
Amy E. Goldman
Emily B. Graham
Malak M. Tfaily
Jason Toyoda
James C. Stegen
author_facet Robert E. Danczak
Rosalie K. Chu
Sarah J. Fansler
Amy E. Goldman
Emily B. Graham
Malak M. Tfaily
Jason Toyoda
James C. Stegen
author_sort Robert E. Danczak
title Using metacommunity ecology to understand environmental metabolomes
title_short Using metacommunity ecology to understand environmental metabolomes
title_full Using metacommunity ecology to understand environmental metabolomes
title_fullStr Using metacommunity ecology to understand environmental metabolomes
title_full_unstemmed Using metacommunity ecology to understand environmental metabolomes
title_sort using metacommunity ecology to understand environmental metabolomes
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/b402218f973543c79bc547583cfe25b4
work_keys_str_mv AT robertedanczak usingmetacommunityecologytounderstandenvironmentalmetabolomes
AT rosaliekchu usingmetacommunityecologytounderstandenvironmentalmetabolomes
AT sarahjfansler usingmetacommunityecologytounderstandenvironmentalmetabolomes
AT amyegoldman usingmetacommunityecologytounderstandenvironmentalmetabolomes
AT emilybgraham usingmetacommunityecologytounderstandenvironmentalmetabolomes
AT malakmtfaily usingmetacommunityecologytounderstandenvironmentalmetabolomes
AT jasontoyoda usingmetacommunityecologytounderstandenvironmentalmetabolomes
AT jamescstegen usingmetacommunityecologytounderstandenvironmentalmetabolomes
_version_ 1718391687334592512