Mobirise

Biomonitoring 2.x

A new paradigm in ecosystem assessment, termed as Biomonitoring 2.0 comes up in the first decade of 2000's, postulating the possibility to employ DNA-based identification of taxa, coupled with high-throughput DNA sequencing on next-generation sequencing platforms.
As technologies and their use increase, costs are lowered, allowing today to obtain thousands, if not millions of data that require the application of new methods of analysis.
Coupling big eDNA data with machine learning and network theory allows us shifting from a pure description of our environment, to the identification of the mechanisms behind species distribution in space and time.

Mobirise


Fais M, Bellisario B, Duarte S, Vieira PE, Sousa R, Canchaya CA, Costa FO. 2020. Meiofauna metabarcoding in Lima estuary (Portugal) suggests high taxon replacement within a background of network stability. Regional Studies in Marine Science. 38-101341.

Coupling eDNA metabarcoding data with network theory to uncover patterns of meiofauna distribution

Key question: How meiofauna communities sampled through eDNA metabarcoding changes in space and time?
How to: Linking eDNA data with network theory.
Take home message: Network properties appear to shift sharply from the downstream/high salinity area of the estuary to the mesohaline medium-upstream areas, suggesting high resilience and redundancy of meiofaunal communities along the estuarine gradient.

Mobirise

Bellisario B, Fais M, Duarte S, Vieira PE, Canchaya CA, Costa FO. 2021. The network structure of intertidal meiofaunal communities
from environmental DNA metabarcoding surveys in Northwest Iberia. Aquatic Sciences. 83:71

The network structure of intertidal meiofaunal communities
from environmental DNA metabarcoding surveys in Northwest Iberia

Key question: How do space and environment constraint the distributional pattern of intertidal meiofaunal communities?
How to: By coupling eDNA metabarcoding data with bipartite networks and null model analyses.
Take home message: eDNA metabarcoding is able to capture a fair amount of diversity hard to detect with standard survey procedures identifying hierarchical spatial structures in intertidal meiofaunal assemblages, ultimately suggesting a restricted distributional range mostly driven by niche-based processes..

Address

Department of Ecological and Biological Sciences (DEB)

Tuscia University of Viterbo
Largo dell'Università Snc 01100 Viterbo (Italy)


Contacts

bruno.bellisario@unitus.it


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