Bohan, David A and Vacher, Corinne and Tamaddoni-Nezhad, Alireza and Raybould, Alan and Dumbrell, Alex J and Woodward, Guy (2017) 'Next-Generation Global Biomonitoring: Large-scale, Automated Reconstruction of Ecological Networks.' Trends in Ecology & Evolution, 32 (7). pp. 477-487. ISSN 0169-5347

Preview

Text 1-s2.0-S0169534717300605-main.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview

Abstract

We foresee a new global-scale, ecological approach to biomonitoring emerging within the next decade that can detect ecosystem change accurately, cheaply, and generically. Next-generation sequencing of DNA sampled from the Earth's environments would provide data for the relative abundance of operational taxonomic units or ecological functions. Machine-learning methods would then be used to reconstruct the ecological networks of interactions implicit in the raw NGS data. Ultimately, we envision the development of autonomous samplers that would sample nucleic acids and upload NGS sequence data to the cloud for network reconstruction. Large numbers of these samplers, in a global array, would allow sensitive automated biomonitoring of the Earth's major ecosystems at high spatial and temporal resolution, revolutionising our understanding of ecosystem change.

Item Type:	Article
Uncontrolled Keywords:	DNA; Sequence Analysis, DNA; Ecology; Ecosystem; Biodiversity; Environmental Monitoring; High-Throughput Nucleotide Sequencing; Machine Learning
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:	Faculty of Science and Health Faculty of Science and Health > Life Sciences, School of
SWORD Depositor:	Elements
Depositing User:	Elements
Date Deposited:	31 Mar 2017 15:32
Last Modified:	14 Apr 2022 15:26
URI:	http://repository.essex.ac.uk/id/eprint/19424

Actions (login required)

View Item