Evidence map›Paper›PMID 36879606›Full record

ArticleData in brief2023

Dataset of 143 metagenome-assembled genomes from the Arctic and Atlantic Oceans, including 21 for eukaryotic organisms.

Anthony Duncan, Kerrie Barry, Chris Daum, Emiley Eloe-Fadrosh, Simon Roux, Katrin Schmidt, Susannah G Tringe, Klaus U Valentin, Neha Varghese, Asaf Salamov and 4 more

Abstract read
In one paragraph

Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

14 authors.

Anthony DuncanSchool of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich, NR47TJ, UK.
Kerrie BarryUS Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
Chris DaumUS Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
Emiley Eloe-FadroshUS Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
Simon RouxUS Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
Katrin SchmidtSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR47TJ, UK.
Susannah G TringeUS Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
Klaus U ValentinAlfred-Wegener Institute for Polar and Marine Research, Am Handelshafen 12, 27570, Bremerhaven, Germany.
Neha VargheseUS Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
Asaf SalamovUS Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
Igor V GrigorievUS Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
Richard M LeggettEarlham Institute, Norwich Research Park, Norwich, NR4 7UG, UK.
Vincent MoultonSchool of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich, NR47TJ, UK.
Thomas MockSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR47TJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents metagenome-assembled genomes (MAGs) for both eukaryotic and prokaryotic organisms originating from the Arctic and Atlantic oceans, along with gene prediction and functional annotation for MAGs from both domains. Eleven samples from the chlorophyll-a maximum layer of the surface ocean were collected during two cruises in 2012; six from the Arctic in June-July on ARK-XXVII/1 (PS80), and five from the Atlantic in November on ANT-XXIX/1 (PS81). Sequencing and assembly was carried out by the Joint Genome Institute (JGI), who provide annotation of the assembled sequences, and 122 MAGs for prokaryotic organisms. A subsequent binning process identified 21 MAGs for eukaryotic organisms, mostly identified as Mamiellophyceae or Bacillariophyceae. The data for each MAG includes sequences in FASTA format, and tables of functional annotation of genes. For eukaryotic MAGs, transcript and protein sequences for predicted genes are available. A spreadsheet is provided summarising quality measures and taxonomic classifications for each MAG. These data provide draft genomes for uncultured marine microbes, including some of the first MAGs for polar eukaryotes, and can provide reference genetic data for these environments, or used in genomics-based comparison between environments.

Indexed as

Genome resolved metagenomicsMAGsMarine algaePhycologyPhytoplanktonPolar microbiomes

Identifiers

PMID36879606
PMCPMC9984783

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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.