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Extracting abundance information from DNA-based data
Mingjie Luo1,2, Yinqiu Ji1, David Warton3,4
1State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Biodiversity and Ecological Security of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Molecular Ecology Resources
|August 20, 2022
Summary
Accurate species abundance data from DNA metabarcoding and metagenomics is crucial for ecology. This study introduces methods, including DNA spike-ins, to correct errors and improve abundance quantification for reliable ecological insights.
Area of Science:
- Ecology
- Molecular Biology
- Bioinformatics
Background:
- DNA-based methods like metabarcoding and metagenomics offer powerful tools for ecological studies.
- However, data inaccuracies arise from sampling and processing biases, affecting species abundance estimations.
- Distinguishing between within-sample (across-species) and across-sample (within-species) quantification is key to addressing these errors.
Conclusions:
- Accurate species-abundance data is vital for ecological applications, including diet analysis and biomonitoring.
- The presented methods, particularly DNA spike-ins and model-based estimation, significantly improve the reliability of DNA-based abundance data.
- These advancements enable more robust ecological inferences from metabarcoding and metagenomics datasets.
Keywords:
ArthropodaDNA barcodingInsectabiomonitoringcommunity compositionenvironmental DNAinternal standardpolymerase chain reactiontaxonomic biasMore Related Videos
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