Green algae (Viridiplantae) in sediments from three lakes on Vega Island, Antarctica, assessed using DNA metabarcoding.
Chlorophyta
Diversity
High throughput sequencing
James Ross archipelago
Polar biology
Journal
Molecular biology reports
ISSN: 1573-4978
Titre abrégé: Mol Biol Rep
Pays: Netherlands
ID NLM: 0403234
Informations de publication
Date de publication:
Jan 2022
Jan 2022
Historique:
received:
01
09
2021
accepted:
19
10
2021
pubmed:
24
10
2021
medline:
24
3
2022
entrez:
23
10
2021
Statut:
ppublish
Résumé
Vega Island is located off the eastern tip of the Antarctic Peninsula (Maritime Antarctica), in the Weddell Sea. In this study, we used metabarcoding to investigate green algal DNA sequence diversity present in sediments from three lakes on Vega Island (Esmeralda, Copépodo, and Pan Negro Lakes). Total DNA was extracted and the internal transcribed spacer 2 region of the nuclear ribosomal DNA was used as a DNA barcode for molecular identification. Green algae were represented by sequences representing 78 taxa belonging to Phylum Chlorophyta, of which 32% have not previously been recorded from Antarctica. Sediment from Pan Negro Lake generated the highest number of DNA reads (11,205), followed by Esmeralda (9085) and Copépodo (1595) Lakes. Esmeralda Lake was the richest in terms of number of taxa (59), with Copépodo and Pan Negro Lakes having 30 taxa each. Bray-Curtis dissimilarity among lakes was high (~ 0.80). The Order Chlamydomonadales (Chlorophyceae) gave the highest contribution in terms of numbers of taxa and DNA reads in all lakes. The most abundant taxon was Chlorococcum microstigmatum. The study confirms the utility of DNA metabarcoding in assessing potential green algal diversity in Antarctic lakes, generating new Antarctic records.
Sections du résumé
BACKGROUND
BACKGROUND
Vega Island is located off the eastern tip of the Antarctic Peninsula (Maritime Antarctica), in the Weddell Sea. In this study, we used metabarcoding to investigate green algal DNA sequence diversity present in sediments from three lakes on Vega Island (Esmeralda, Copépodo, and Pan Negro Lakes).
METHODS AND RESULTS
RESULTS
Total DNA was extracted and the internal transcribed spacer 2 region of the nuclear ribosomal DNA was used as a DNA barcode for molecular identification. Green algae were represented by sequences representing 78 taxa belonging to Phylum Chlorophyta, of which 32% have not previously been recorded from Antarctica. Sediment from Pan Negro Lake generated the highest number of DNA reads (11,205), followed by Esmeralda (9085) and Copépodo (1595) Lakes. Esmeralda Lake was the richest in terms of number of taxa (59), with Copépodo and Pan Negro Lakes having 30 taxa each. Bray-Curtis dissimilarity among lakes was high (~ 0.80). The Order Chlamydomonadales (Chlorophyceae) gave the highest contribution in terms of numbers of taxa and DNA reads in all lakes. The most abundant taxon was Chlorococcum microstigmatum.
CONCLUSIONS
CONCLUSIONS
The study confirms the utility of DNA metabarcoding in assessing potential green algal diversity in Antarctic lakes, generating new Antarctic records.
Identifiants
pubmed: 34686990
doi: 10.1007/s11033-021-06857-1
pii: 10.1007/s11033-021-06857-1
doi:
Substances chimiques
DNA, Algal
0
DNA, Intergenic
0
DNA, Ribosomal
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
179-188Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.
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