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Insights into Ecological & Evolutionary Processes via community metabarcoding.

Authors :
Gillespie, Rosemary G.
Bik, Holly M.
Hickerson, Michael J.
Krehenwinkel, Henrik
Overcast, Isaac
Rominger, Andrew J.
Source :
Molecular Ecology. Dec2023, Vol. 32 Issue 23, p6083-6092. 10p.
Publication Year :
2023

Abstract

This article explores the use of high-throughput sequencing data, specifically metabarcoding datasets, to study ecological and evolutionary questions. The authors discuss the power of this technology in understanding community assembly dynamics, interaction networks, invasive species, and cross-scale interactions. The article emphasizes the importance of this research for effective conservation and management of ecosystems. It also presents case studies on various biological communities, including terrestrial and marine systems, microbial communities, and shifts in community composition. Another article discusses the use of metabarcoding to study species interactions, biodiversity response to global change, and the impact of urbanization on diversity and trophic interactions. It also explores the role of microbiomes in diet and niche partitioning. The document discusses the findings and implications of studies on biodiversity dynamics using high-throughput approaches, such as metabarcoding. The studies cover topics such as the impact of salinity on gut community richness, the role of microbiomes in disease resilience, the detection and impact of non-native species, and the importance of museum collections in metabarcoding research. The document emphasizes the potential of high-throughput analyses in answering complex questions in biodiversity science and highlights the need for robust methods and interdisciplinary collaboration. The authors declare no conflict of interest. [Extracted from the article]

Details

Language :
English
ISSN :
09621083
Volume :
32
Issue :
23
Database :
Academic Search Index
Journal :
Molecular Ecology
Publication Type :
Academic Journal
Accession number :
173824100
Full Text :
https://doi.org/10.1111/mec.17208