Using metacommunity ecology to understand environmental metabolomes DOI Creative Commons
Robert Danczak, Rosalie Chu, Sarah Fansler

и другие.

Nature Communications, Год журнала: 2020, Номер 11(1)

Опубликована: Дек. 11, 2020

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 ability uncover transferrable principles and predict ecosystem function. We propose that a theoretical paradigm, which integrates concepts from metacommunity ecology, is necessary reveal underlying mechanisms governing metabolomes. call this synthesis between ecology metabolomics ‘meta-metabolome ecology’ demonstrate its utility using mass spectrometry dataset. developed three relational metabolite dendrograms molecular properties putative biochemical transformations performed ecological null modeling. Based upon modeling results, we show stochastic drove while were structured deterministically. further suggest potentially biochemically active metabolites more deterministically assembled than less metabolites. Understanding variation the influences stochasticity determinism provides way focus attention on meta-metabolomes parts most likely be important consider mechanistic models. paradigm will allow researchers study connections systems previously inaccessible detail.

Язык: Английский

Vertical environmental gradient drives prokaryotic microbial community assembly and species coexistence in a stratified acid mine drainage lake DOI
Zhixiang She, Xin Pan, Jin Wang

и другие.

Water Research, Год журнала: 2021, Номер 206, С. 117739 - 117739

Опубликована: Окт. 7, 2021

Язык: Английский

Процитировано

99
Perspectives from Ten Years of Protist Studies by High‐Throughput Metabarcoding DOI
Luciana F. Santoferrara, Fabien Burki, Sabine Filker

и другие.

Journal of Eukaryotic Microbiology, Год журнала: 2020, Номер 67(5), С. 612 - 622

Опубликована: Июнь 4, 2020

Abstract During the last decade, high‐throughput metabarcoding became routine for analyzing protistan diversity and distributions in nature. Amid a multitude of exciting findings, scientists have also identified addressed technical biological limitations, although problems still exist inference meaningful taxonomic ecological knowledge based on short DNA sequences. Given extensive use this approach, it is critical to settle our understanding its strengths weaknesses synthesize up‐to‐date methodological conceptual trends. This article summarizes key scientific identifies current future directions protist research that uses metabarcoding.

Язык: Английский

Процитировано

98
Archaeal and bacterial communities assembly and co-occurrence networks in subtropical mangrove sediments under Spartina alterniflora invasion DOI Creative Commons
Weidong Chen, Donghui Wen

Environmental Microbiome, Год журнала: 2021, Номер 16(1)

Опубликована: Май 3, 2021

Abstract Background Mangrove ecosystems are vulnerable due to the exotic Spartina alterniflora ( S. ) invasion in China. However, little is known about mangrove sediment microbial community assembly processes and interactions under invasion. Here, we investigated co-occurrence networks of archaeal bacterial communities along coastlines Fujian province, southeast Results Assembly overall was driven predominantly by stochastic processes, relative role stochasticity stronger for bacteria than archaea. Co-occurrence network analyses showed that structure more complex The keystone taxa often had low abundances (conditionally rare taxa), suggesting abundance may significantly contribute stability. Moreover, increased drift process (part processes), improved complexity stability, but decreased stability bacteria. This could be attributed influenced diversity dispersal ability, as well soil environmental conditions. Conclusions study fills a gap patterns both archaea ecosystem Thereby provides new insights plant on biogeographic distribution patterns.

Язык: Английский

Процитировано

97
Distinct mechanisms underlying the assembly of microeukaryotic generalists and specialists in an anthropogenically impacted river DOI
Mahmoud Gad, Liyuan Hou, Jiangwei Li

и другие.

The Science of The Total Environment, Год журнала: 2020, Номер 748, С. 141434 - 141434

Опубликована: Авг. 8, 2020

Язык: Английский

Процитировано

93
Using metacommunity ecology to understand environmental metabolomes DOI Creative Commons
Robert Danczak, Rosalie Chu, Sarah Fansler

и другие.

Nature Communications, Год журнала: 2020, Номер 11(1)

Опубликована: Дек. 11, 2020

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 ability uncover transferrable principles and predict ecosystem function. We propose that a theoretical paradigm, which integrates concepts from metacommunity ecology, is necessary reveal underlying mechanisms governing metabolomes. call this synthesis between ecology metabolomics ‘meta-metabolome ecology’ demonstrate its utility using mass spectrometry dataset. developed three relational metabolite dendrograms molecular properties putative biochemical transformations performed ecological null modeling. Based upon modeling results, we show stochastic drove while were structured deterministically. further suggest potentially biochemically active metabolites more deterministically assembled than less metabolites. Understanding variation the influences stochasticity determinism provides way focus attention on meta-metabolomes parts most likely be important consider mechanistic models. paradigm will allow researchers study connections systems previously inaccessible detail.

Язык: Английский

Процитировано

92