Please use this identifier to cite or link to this item:
Title: Boosting natural history research via metagenomic clean-up of crowdsourced feces
Authors: Srivathsan, A. 
Nagarajan, N. 
Meier, R. 
Issue Date: 2019
Publisher: Public Library of Science
Citation: Srivathsan, A., Nagarajan, N., Meier, R. (2019). Boosting natural history research via metagenomic clean-up of crowdsourced feces. PLoS Biology 17 (11) : e3000517. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: Biodiversity is in crisis due to habitat destruction and climate change. The conservation of many noncharismatic species is hampered by the lack of data. Yet, natural history research - a major source of information on noncharismatic species - is in decline. We here suggest a remedy for many mammal species, i.e., metagenomic clean-up of fecal samples that are "crowdsourced" during routine field surveys. Based on literature data, we estimate that this approach could yield natural history information for circa 1,000 species within a decade. Metagenomic analysis would simultaneously yield natural history data on diet and gut parasites while enhancing our understanding of host genetics, gut microbiome, and the functional interactions between traditional and new natural history data. We document the power of this approach by carrying out a "metagenomic clean-up" on fecal samples collected during a single night of small mammal trapping in one of Alfred Wallace's favorite collecting sites. © 2019 Srivathsan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Source Title: PLoS Biology
ISSN: 15449173
DOI: 10.1371/journal.pbio.3000517
Rights: Attribution 4.0 International
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1371_journal_pbio_3000517.pdf2.55 MBAdobe PDF



Google ScholarTM



This item is licensed under a Creative Commons License Creative Commons