Determining Microbial Niche Breadth in the Environment for Better Ecosystem Fate Predictions
Author(s) -
Emilie Muller
Publication year - 2019
Publication title -
msystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.931
H-Index - 39
ISSN - 2379-5077
DOI - 10.1128/msystems.00080-19
Subject(s) - niche , ecological niche , metagenomics , generalist and specialist species , context (archaeology) , biology , environmental niche modelling , ecology , resource (disambiguation) , ecosystem , proxy (statistics) , usable , data science , habitat , computer science , world wide web , paleontology , biochemistry , computer network , machine learning , gene
Integrated omics applied to microbial communities offers a great opportunity to analyze the niche breadths (i.e., resource and condition ranges usable by a species) of constituent populations, ranging from generalists, with a broad niche breadth, to specialists, with a narrow one. In this context, extracellular metabolomics measurements describe resource spaces available to microbial populations; dedicated analyses of metagenomics data serve to describe the fundamental niches of constituent populations, and functional meta-omics becomes a proxy to characterize the realized niches of populations and their variations though time or space.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom