Evidence map›Paper›PMID 34686990›Full record

ArticleMolecular biology reports2022

Green algae (Viridiplantae) in sediments from three lakes on Vega Island, Antarctica, assessed using DNA metabarcoding.

Bárbara Medeiros Fonseca, Paulo Eduardo Aguiar Saraiva Câmara, Mayara Baptistucci Ogaki, Otávio Henrique Bezerra Pinto, Juan Manuel Lirio, Silvia H Coria, Rosemary Vieira, Micheline Carvalho-Silva, Eduardo Toledo Amorim, Peter Convey and 1 more

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Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Bárbara Medeiros FonsecaIndependent Researcher, Brasília, DF, Brazil. barbara.fonseca0603@gmail.com.ORCID http://orcid.org/0000-0002-7898-771X
Paulo Eduardo Aguiar Saraiva CâmaraDepartamento de Botânica, Universidade de Brasília, Brasília, DF, Brazil.ORCID http://orcid.org/0000-0002-3944-996X
Mayara Baptistucci OgakiDepartamento de Microbiologia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-3810-1048
Otávio Henrique Bezerra PintoDepartamento de Biologia Celular, Universidade de Brasília, Brasília, DF, Brazil.ORCID http://orcid.org/0000-0002-8382-2987
Juan Manuel LirioInstituto Antártico Argentino, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-1019-8407
Silvia H CoriaInstituto Antártico Argentino, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0001-9317-017X
Rosemary VieiraInstituto de Geociências, Universidade Federal Fluminense, Niterói, RJ, Brazil.ORCID http://orcid.org/0000-0003-0312-2890
Micheline Carvalho-SilvaDepartamento de Botânica, Universidade de Brasília, Brasília, DF, Brazil.ORCID http://orcid.org/0000-0002-2389-3804
Eduardo Toledo AmorimCNCFLORA, Jardim Botânico do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-4253-1339
Peter ConveyBritish Antarctic Survey, Cambridge, UK.ORCID http://orcid.org/0000-0001-8497-9903
Luiz Henrique RosaDepartamento de Microbiologia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0001-9749-5182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVega 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

resultsTotal 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.

conclusionsThe study confirms the utility of DNA metabarcoding in assessing potential green algal diversity in Antarctic lakes, generating new Antarctic records.

Indexed as

Antarctic RegionsChlorophytaDNA, AlgalDNA Barcoding, TaxonomicDNA, IntergenicDNA, RibosomalHigh-Throughput Nucleotide SequencingLakesPhylogenySequence Analysis, DNADNA, AlgalDNA, IntergenicDNA, RibosomalChlorophytaDiversityHigh throughput sequencingJames Ross archipelagoPolar biology

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.