Next-generation global biomonitoring: large-scale, automated reconstruction of ecological networks
Language
en
Article de revue
This item was published in
Trends in Ecology & Evolution. 2017, vol. 32, n° 7, p. 477-487
Elsevier
English 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 ...Read more >
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.Read less <
Keywords
biosurveillance
séquençage adn
changement d'ecosystème
ANR Project
Predicting and enhancing the Resilience of European Agro-ecosystems to environmental change using crop Rotations - ANR-15-SUSF-0002
Origin
Hal imported