Dataset Information

Integrating Computational Methods to Investigate the Macroecology of Microbiomes.

ABSTRACT: Studies in microbiology have long been mostly restricted to small spatial scales. However, recent technological advances, such as new sequencing methodologies, have ushered an era of large-scale sequencing of environmental DNA data from multiple biomes worldwide. These global datasets can now be used to explore long standing questions of microbial ecology. New methodological approaches and concepts are being developed to study such large-scale patterns in microbial communities, resulting in new perspectives that represent a significant advances for both microbiology and macroecology. Here, we identify and review important conceptual, computational, and methodological challenges and opportunities in microbial macroecology. Specifically, we discuss the challenges of handling and analyzing large amounts of microbiome data to understand taxa distribution and co-occurrence patterns. We also discuss approaches for modeling microbial communities based on environmental data, including information on biological interactions to make full use of available Big Data. Finally, we summarize the methods presented in a general approach aimed to aid microbiologists in addressing fundamental questions in microbial macroecology, including classical propositions (such as "everything is everywhere, but the environment selects") as well as applied ecological problems, such as those posed by human induced global environmental changes.

SUBMITTER: Mascarenhas R

PROVIDER: S-EPMC6979972 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

Integrating Computational Methods to Investigate the Macroecology of Microbiomes.

Mascarenhas Rilquer R Ruziska Flávia M FM Moreira Eduardo Freitas EF Campos Amanda B AB Loiola Miguel M Reis Kaike K Trindade-Silva Amaro E AE Barbosa Felipe A S FAS Salles Lucas L Menezes Rafael R Veiga Rafael R Coutinho Felipe H FH Dutilh Bas E BE Guimarães Paulo R PR Assis Ana Paula A APA Ara Anderson A Miranda José G V JGV Andrade Roberto F S RFS Vilela Bruno B Meirelles Pedro Milet PM

Frontiers in genetics 20200117

Studies in microbiology have long been mostly restricted to small spatial scales. However, recent technological advances, such as new sequencing methodologies, have ushered an era of large-scale sequencing of environmental DNA data from multiple biomes worldwide. These global datasets can now be used to explore long standing questions of microbial ecology. New methodological approaches and concepts are being developed to study such large-scale patterns in microbial communities, resulting in new ...[more]

PMID: 32010196

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Dataset Information

Integrating Computational Methods to Investigate the Macroecology of Microbiomes.

Publications

Integrating Computational Methods to Investigate the Macroecology of Microbiomes.

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