ARPHA Conference Abstracts :
Conference Abstract
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Corresponding author: Laura Gargan (lauramgargan@gmail.com)
Received: 24 Feb 2021 | Published: 04 Mar 2021
© 2021 Haris Zafeiropoulos, Laura Gargan, Christina Pavloudi, Evangelos Pafilis, Jens Carlsson
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Zafeiropoulos H, Gargan L, Pavloudi C, Pafilis E, Carlsson J (2021) Bacteria are everywhere, even in your COI data: Τhe art of getting to know the unknown unknowns and shine light on the dark matter! ARPHA Conference Abstracts 4: e64966. https://doi.org/10.3897/aca.4.e64966
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Environmental DNA (eDNA) metabarcoding has been commonly used in recent years (
However, there is not a truly “universal” marker gene that is capable of amplifying all species across different taxa (
We built a reference phylogenetic tree that included as many COI-sequence-related information across the tree of life as possible. An overview of the steps followed is presented in Fig.
Investigating COI dark matter in a nutshell.
Phylogeny-based taxonomic assignment was then used to place query sequences. The a) total number of sequences, b) sequences assigned to Eukaryotes and c) unassigned subsets of OTUs, from marine and freshwater samples, retrieved during in-house metabarcoding experiments, were placed in the reference tree (Fig.
We conclude that COI metabarcoding studies targeting Eukaryotes may come with a great bias derived from amplification and sequencing of bacterial taxa, depending on the primer pair used. However, for the time being, publicly available bacterial COI sequences are far too few to represent the bacterial variability; thus, a reliable taxonomic identification of them is not possible. We suggest that bacterial COI sequences should be included in the reference databases used for the taxonomy assignment of OTUs/ASVs in COI-based eukaryote metabarcoding studies to allow for bacterial sequences that were amplified to be excluded enabling researchers to exclude non-target sequences. Further, the approach presented here allows researchers to better understand the unknown unknowns and shed light on the dark matter of their metabarcoding sequence data.
eDNA, metabarcoding, marker genes, COI, Bacteria, phylogenetic tree, taxonomy assignment, dark matter
Laura Gargan
1st DNAQUA International Conference (March 9-11, 2021)
This research was supported in part through computational resources provided by IMBBC (Institute of Marine Biology, Biotechnology and Aquaculture) of the HCMR (Hellenic Centre for Marine Research). Funding for establishing the IMBBC HPC has been received by the MARBIGEN (EU Regpot) project, LifeWatchGreece RI and the CMBR (Centre for the study and sustainable exploitation of Marine Biological Resources) RI.
Τhis project has received funding from the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Innovation (GSRI), under grant agreement No. 241 (PREGO project). It has been also supported by the “ELIXIR-GR: Managing and Analysing Life Sciences Data (MIS: 5002780)” project co-financed by Greece and the European Union - European Regional Development Fund.