Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity.

Environmental DNA metabarcoding reveals a vast genetic diversity of marine eukaryotes. Yet, most of the metabarcoding data remain unassigned due to the paucity of reference databases. This is particularly true for the deep-sea meiofauna and eukaryotic microbiota, whose hidden diversity is largely un...

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Main Authors: Inès Barrenechea Angeles, Ngoc-Loi Nguyen, Mattia Greco, Koh Siang Tan, Jan Pawlowski
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0298440&type=printable
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author Inès Barrenechea Angeles
Ngoc-Loi Nguyen
Mattia Greco
Koh Siang Tan
Jan Pawlowski
author_facet Inès Barrenechea Angeles
Ngoc-Loi Nguyen
Mattia Greco
Koh Siang Tan
Jan Pawlowski
author_sort Inès Barrenechea Angeles
collection DOAJ
description Environmental DNA metabarcoding reveals a vast genetic diversity of marine eukaryotes. Yet, most of the metabarcoding data remain unassigned due to the paucity of reference databases. This is particularly true for the deep-sea meiofauna and eukaryotic microbiota, whose hidden diversity is largely unexplored. Here, we tackle this issue by using unique DNA signatures to classify unknown metabarcodes assigned to deep-sea foraminifera. We analyzed metabarcoding data obtained from 311 deep-sea sediment samples collected in the Clarion-Clipperton Fracture Zone, an area of potential polymetallic nodule exploitation in the Eastern Pacific Ocean. Using the signatures designed in the 37F hypervariable region of the 18S rRNA gene, we were able to classify 802 unassigned metabarcodes into 61 novel lineages, which have been placed in 27 phylogenetic clades. The comparison of new lineages with other foraminiferal datasets shows that most novel lineages are widely distributed in the deep sea. Five lineages are also present in the shallow-water datasets; however, phylogenetic analysis of these lineages separates deep-sea and shallow-water metabarcodes except in one case. While the signature-based classification does not solve the problem of gaps in reference databases, this taxonomy-free approach provides insight into the distribution and ecology of deep-sea species represented by unassigned metabarcodes, which could be useful in future applications of metabarcoding for environmental monitoring.
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spelling doaj.art-859d2a16ff934240a7a98b2d91075a0e2024-03-11T05:32:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01192e029844010.1371/journal.pone.0298440Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity.Inès Barrenechea AngelesNgoc-Loi NguyenMattia GrecoKoh Siang TanJan PawlowskiEnvironmental DNA metabarcoding reveals a vast genetic diversity of marine eukaryotes. Yet, most of the metabarcoding data remain unassigned due to the paucity of reference databases. This is particularly true for the deep-sea meiofauna and eukaryotic microbiota, whose hidden diversity is largely unexplored. Here, we tackle this issue by using unique DNA signatures to classify unknown metabarcodes assigned to deep-sea foraminifera. We analyzed metabarcoding data obtained from 311 deep-sea sediment samples collected in the Clarion-Clipperton Fracture Zone, an area of potential polymetallic nodule exploitation in the Eastern Pacific Ocean. Using the signatures designed in the 37F hypervariable region of the 18S rRNA gene, we were able to classify 802 unassigned metabarcodes into 61 novel lineages, which have been placed in 27 phylogenetic clades. The comparison of new lineages with other foraminiferal datasets shows that most novel lineages are widely distributed in the deep sea. Five lineages are also present in the shallow-water datasets; however, phylogenetic analysis of these lineages separates deep-sea and shallow-water metabarcodes except in one case. While the signature-based classification does not solve the problem of gaps in reference databases, this taxonomy-free approach provides insight into the distribution and ecology of deep-sea species represented by unassigned metabarcodes, which could be useful in future applications of metabarcoding for environmental monitoring.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0298440&type=printable
spellingShingle Inès Barrenechea Angeles
Ngoc-Loi Nguyen
Mattia Greco
Koh Siang Tan
Jan Pawlowski
Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity.
PLoS ONE
title Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity.
title_full Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity.
title_fullStr Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity.
title_full_unstemmed Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity.
title_short Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity.
title_sort assigning the unassigned a signature based classification of rdna metabarcodes reveals new deep sea diversity
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0298440&type=printable
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