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Environmental DNA and biodiversity patterns: a call for a community phylogenetics approach

[Display omitted] •eDNA metabarcoding allows cost-effective biodiversity analysis and monitoring.•eDNA focuses on defining MOTUs/ASVs, but more information is intrinsic to such data.•α and β diversity patterns from eDNA are enhanced by explicit phylogenetic analyses.•Diversity gradients of microeuka...

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Published in:Perspectives in ecology and conservation 2024-01, Vol.22 (1), p.15-23
Main Authors: Diniz-Filho, José Alexandre Felizola, Bini, Luis Mauricio, Targueta, Cintia Pelegrineti, Telles, Mariana Pires de Campos, Jardim, Lucas, Machado, Karine Borges, Nabout, João Carlos, Nunes, Rhewter, Vieira, Ludgero Cardoso Galli, Soares, Thannya Nascimento
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Language:English
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Summary:[Display omitted] •eDNA metabarcoding allows cost-effective biodiversity analysis and monitoring.•eDNA focuses on defining MOTUs/ASVs, but more information is intrinsic to such data.•α and β diversity patterns from eDNA are enhanced by explicit phylogenetic analyses.•Diversity gradients of microeukaryotes in Araguaia River illustrate these patterns. Environmental DNA (eDNA) metabarcoding is a relatively new technology allowing effective non-invasive analyses and monitoring of biodiversity patterns. Studies on eDNA metabarcoding focus on using sequence data to delimit basic units (i.e., such as Molecular Operational Taxonomic Units – MOTUS – or Amplicon Sequence Variation – ASVs), and after this definition standard analytical approaches from community ecology are applied. However, there is more information inherent to eDNA data and it is now straightforward to use more general approaches in which analyses are based directly on phylogenies or genetic distances between MOTUs or ASVs, rather than in discrete units without any accounting for hierarchical structure, providing a more continuum understanding of biodiversity patterns. Here we briefly review the concepts and methods to incorporate phylogenetic patterns into eDNA metabarcoding analyses, illustrating some of the main issues with eukaryote diversity data along the Araguaia River Basin. Hopefully this perspective stimulates researchers obtaining eDNA metabarcoding data to perform their data under the community phylogenetics framework instead of (or in addition to) the more standard community ecology approach.
ISSN:2530-0644
2530-0644
DOI:10.1016/j.pecon.2024.01.006