Journal
ENVIRONMENTAL MICROBIOLOGY
Volume 24, Issue 7, Pages 2979-2993Publisher
WILEY
DOI: 10.1111/1462-2920.16081
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Funding
- IMPEKAB [ANR 15-CE02-0011]
- Brittany Region ARED [C16 1520A01]
- Agence Nationale de la Recherche (ANR) [ANR-15-CE02-0011] Funding Source: Agence Nationale de la Recherche (ANR)
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This study explored the intra-genomic diversity of Radiolaria specimens and compared the advantages and disadvantages of different sequencing methods. The results showed that Illumina sequencing had issues with contamination, while MinION had a higher sequencing error rate but produced longer reads.
Ribosomal RNA (rRNA) genes are known to be valuable markers for the barcoding of eukaryotic life and its phylogenetic classification at various taxonomic levels. The large-scale exploration of environmental microbial diversity through metabarcoding approaches has been focused mainly on the V4 and V9 regions of the 18S rRNA gene. The accurate interpretation of such environmental surveys is hampered by technical (e.g. PCR and sequencing errors) and biological biases (e.g. intra-genomic variability). Here we explored the intra-genomic diversity of Nassellaria and Spumellaria specimens (Radiolaria) by comparing Sanger sequencing with Illumina and Oxford Nanopore Technologies (MinION). Our analysis determined that intra-genomic variability of Nassellaria and Spumellaria is generally low, yet some Spumellaria specimens showed two different copies of the V4 with <97% similarity. Of the different sequencing methods, Illumina showed the highest number of contaminations (i.e. environmental DNA, cross-contamination, tag-jumping), revealed by its high sequencing depth; and MinION showed the highest sequencing rate error (similar to 14%). Yet the long reads produced by MinION (similar to 2900 bp) allowed accurate phylogenetic reconstruction studies. These results highlight the requirement for a careful interpretation of Illumina-based metabarcoding studies, in particular regarding low abundant amplicons, and open future perspectives towards full-length rDNA environmental metabarcoding surveys.
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