A Survey Paper on Identifying Taxonomy and Assessing Biodiversity from eDNA Datasets

Environmental DNA (eDNA) techniques— particularly metabarcoding and metagenomics—have become essential tools for biodiversity surveys across terrestrial, freshwater, and marine environments. This review summarizes recent methodological and computational developments from 2024–2025, covering sampling strategies, DNA extraction, sequencing technologies, and taxonomic identification approaches. Advances such as multilocus metabarcoding, long- read sequencing, improved reference databases, and integrated bioinformatic pipelines are enhancing the reliability of species detection and ecological interpretation. We additionally review common limitations—including reference gaps, incomplete annotations, and methodological biases—and highlight emerging frameworks that aim to improve accuracy in the generation of taxonomic inventories and biodiversity metrics.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-11
DOI
https://doi.org/10.5281/zenodo.18950277
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
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article

A Survey Paper on Identifying Taxonomy and Assessing Biodiversity from eDNA Datasets

Janani S, Chaithanya S, Aneka A
Zenodo (CERN European Organization for Nuclear Research)
Environmental DNA in Biodiversity Studies
article

A Survey Paper on Identifying Taxonomy and Assessing Biodiversity from eDNA Datasets

Janani S, Chaithanya S, Aneka A
article en

Abstract

Environmental DNA (eDNA) techniques— particularly metabarcoding and metagenomics—have become essential tools for biodiversity surveys across terrestrial, freshwater, and marine environments. This review summarizes recent methodological and computational developments from 2024–2025, covering sampling strategies, DNA extraction, sequencing technologies, and taxonomic identification approaches. Advances such as multilocus metabarcoding, long- read sequencing, improved reference databases, and integrated bioinformatic pipelines are enhancing the reliability of species detection and ecological interpretation. We additionally review common limitations—including reference gaps, incomplete annotations, and methodological biases—and highlight emerging frameworks that aim to improve accuracy in the generation of taxonomic inventories and biodiversity metrics.

Zenodo (CERN European Organization for Nuclear Research)
Life below water
Openalex Percentile: Top 36%
Environmental DNA in Biodiversity Studies
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