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  4. Environmental DNA COI barcoding for quantitative analysis of protists communities: A test using the Nebela collaris complex (Amoebozoa;Arcellinida; Hyalospheniidae)

Environmental DNA COI barcoding for quantitative analysis of protists communities: A test using the <i>Nebela collaris</i> complex (Amoebozoa;Arcellinida; Hyalospheniidae)

Author(s)
Kosakyan, Anush  
Laboratoire de biodiversité du sol  
Mulot, Matthieu  
Laboratoire de biodiversité du sol  
Mitchell, Edward  
Laboratoire de biodiversité du sol  
Lara, Enrique  
Laboratoire de biodiversité du sol  
Date issued
2015
In
European Journal of Protistology, Elsevier
Vol
51
No
4
From page
311
To page
320
Subjects
Community ecology Environmental DNA Metabarcoding Protist diversity <i>Sphagnum</i> peatlands Testate amoebae
Abstract
Environmental DNA surveys are used for screening eukaryotic diversity. However, it is unclear how quantitative this approach is and to what extent results from environmental DNA studies can be used for ecological studies requiring quantitative data. Mitochondrial cytochrome oxidase (COI) is used for species-level taxonomic studies of testate amoebae and should allow assessing the community composition from environmental samples, thus bypassing biases due to morphological identification. We tested this using a COI clone library approach and focusing on the <i>Nebela collaris</i> complex. Comparisons with direct microscopy counts showed that the COI clone library diversity data matched the morphologically identified taxa, and that community com-position estimates using the two approaches were similar. However, this correlation was improved when microscopy counts were corrected for biovolume. Higher correlation with biovolume-corrected community data suggests that COI clone library data matches the ratio of mitochondria and that within closely-related taxa the density of mitochondria per unit biovolume is approximately constant. Further developments of this metabarcoding approach including quantifying the mitochondrial density among closely-related taxa, experiments on other taxonomic groups and using high throughput sequencing should make if possible to quantitatively estimate community composition of different groups, which would be invaluable for microbial food webs studies.
Publication type
journal article
Identifiers
https://libra.unine.ch/handle/20.500.14713/65202
DOI
10.1016/j.ejop.2015.06.005
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