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Next-generation global biomonitoring: large-scale, automated reconstruction of ecological networks

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Title: Next-generation global biomonitoring: large-scale, automated reconstruction of ecological networks
Authors: Bohan, D
Dumbrell, A
Raybould, A
Vacher, C
Tammadoni-Nezhad, A
Woodward, G
Item Type: Journal Article
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.
Issue Date: 27-Mar-2017
Date of Acceptance: 3-Mar-2017
URI: http://hdl.handle.net/10044/1/45447
DOI: https://dx.doi.org/10.1016/j.tree.2017.03.001
ISSN: 1872-8383
Publisher: Elsevier (Cell Press)
Start Page: 477
End Page: 487
Journal / Book Title: Trends in Ecology and Evolution
Volume: 32
Issue: 7
Copyright Statement: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Sponsor/Funder: Natural Environment Research Council (NERC)
Funder's Grant Number: NE/M020843/1
Keywords: Science & Technology
Life Sciences & Biomedicine
Ecology
Evolutionary Biology
Genetics & Heredity
Environmental Sciences & Ecology
FOOD-WEB
ENVIRONMENTAL IMPACTS
SEQUENCING DATA
SIZE
TIME
BIODIVERSITY
COMMUNITIES
INFERENCE
ABUNDANCE
DYNAMICS
06 Biological Sciences
05 Environmental Sciences
Publication Status: Published
Appears in Collections:Faculty of Engineering
Computing
Faculty of Natural Sciences



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