Trego, A., Keating, C. , Nzeteu, C., Graham, A., O'Flaherty, V. and Ijaz, U. Z. (2022) Beyond basic diversity estimates – analytical tools for mechanistic interpretations of amplicon sequencing data. Microorganisms, 10(10), 1961. (doi: 10.3390/microorganisms10101961) (PMID:36296237) (PMCID:PMC9609705)
![[img]](https://eprints.gla.ac.uk/style/images/fileicons/text.png) |
Text
281516.pdf - Published Version Available under License Creative Commons Attribution. 977kB |
Abstract
Understanding microbial ecology through amplifying short read regions, typically 16S rRNA for prokaryotic species or 18S rRNA for eukaryotic species, remains a popular, economical choice. These methods provide relative abundances of key microbial taxa, which, depending on the experimental design, can be used to infer mechanistic ecological underpinnings. In this review, we discuss recent advancements in in situ analytical tools that have the power to elucidate ecological phenomena, unveil the metabolic potential of microbial communities, identify complex multidimensional interactions between species, and compare stability and complexity under different conditions. Additionally, we highlight methods that incorporate various modalities and additional information, which in combination with abundance data, can help us understand how microbial communities respond to change in a typical ecosystem. Whilst the field of microbial informatics continues to progress substantially, our emphasis is on popular methods that are applicable to a broad range of study designs. The application of these methods can increase our mechanistic understanding of the ongoing dynamics of complex microbial communities.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Keating, Dr Ciara and Ijaz, Dr Umer |
| Authors: | Trego, A., Keating, C., Nzeteu, C., Graham, A., O'Flaherty, V., and Ijaz, U. Z. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine College of Science and Engineering > School of Engineering > Infrastructure and Environment |
| Journal Name: | Microorganisms |
| Publisher: | MDPI |
| ISSN: | 2076-2607 |
| ISSN (Online): | 2076-2607 |
| Published Online: | 01 October 2022 |
| Copyright Holders: | Copyright © 2022 The Authors |
| First Published: | First published in Microorganisms 10(10): 1961 |
| Publisher Policy: | Reproduced under a Creative Commons License |
University Staff: Request a correction | Enlighten Editors: Update this record
Funder and Project Information
Funder and Project Information