학술논문

MicroNiche: an R package for assessing microbial niche breadth and overlap from amplicon sequencing data
RESEARCH ARTICLE
Document Type
Report
Source
FEMS Microbiology Ecology. August 2020, Vol. 96 Issue 8, p1k, 12 p.
Subject
Australia
United States
Language
English
ISSN
0168-6496
Abstract
INTRODUCTION The niche is a fundamental concept with a long history of use in ecology (Leibold 1995). It was conceived as an integrating descriptor of an organism's place in a [...]
Niche is a fundamental concept in ecology. It integrates the sum of biotic and abiotic environmental requirements that determines a taxon's distribution. Microbiologists currently lack quantitative approaches to address niche-related hypotheses. We tested four approaches for the quantification of niche breadth and overlap of taxa in amplicon sequencing datasets, with the goal of determining generalists, specialists and environmental-dependent distributions of community members. We applied these indices to in silico training datasets first, and then to real human gut and desert biological soil crust (biocrust) case studies, assessing the agreement of the indices with previous findings. Implementation of each approach successfully identified apriori conditions within in silico training data, and we found that by including a limit of quantification based on species rank, one could identify taxa falsely classified as specialists because of their low, sparse counts. Analysis of the human gut study offered quantitative support for Bacilli, Gammaproteobacteria and Fusobacteria specialists enriched after bariatric surgery. We could quantitatively characterise differential niche distributions of cyanobacterial taxa with respect to precipitation gradients in biocrusts. We conclude that these approaches, made publicly available as an R package (MicroNiche), represent useful tools to assess microbial environment-taxon and taxon-taxon relationships in a quantitative manner. Keywords: niche theory; community ecology; proportional similarity index