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Using metacommunity ecology to understand environmental metabolomes.

Abstract：

:Environmental metabolomes are fundamentally coupled to microbially-linked biogeochemical processes within ecosystems. However, significant gaps exist in our understanding of their spatiotemporal organization, limiting our ability to uncover transferrable principles and predict ecosystem function. We propose that a theoretical paradigm, which integrates concepts from metacommunity ecology, is necessary to reveal underlying mechanisms governing metabolomes. We call this synthesis between ecology and metabolomics 'meta-metabolome ecology' and demonstrate its utility using a mass spectrometry dataset. We developed three relational metabolite dendrograms using molecular properties and putative biochemical transformations and performed ecological null modeling. Based upon null modeling results, we show that stochastic processes drove molecular properties while biochemical transformations were structured deterministically. We further suggest that potentially biochemically active metabolites were more deterministically assembled than less active metabolites. Understanding variation in the influences of stochasticity and determinism provides a way to focus attention on which meta-metabolomes and which parts of meta-metabolomes are most likely to be important to consider in mechanistic models. We propose that this paradigm will allow researchers to study the connections between ecological systems and their molecular processes in previously inaccessible detail.

journal_name

Nat Commun

journal_title

Nature communications

authors

Danczak RE,Chu RK,Fansler SJ,Goldman AE,Graham EB,Tfaily MM,Toyoda J,Stegen JC

doi

10.1038/s41467-020-19989-y

subject

Has Abstract

pub_date

2020-12-11 00:00:00

pages

6369

issue

1

issn

2041-1723

pii

10.1038/s41467-020-19989-y

journal_volume

11

pub_type

杂志文章

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