Evidence map›Paper›PMID 36401317›Full record

ArticleEnvironmental microbiome2022

MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes.

Muhammad Kabiru Nata'ala, Anderson P Avila Santos, Jonas Coelho Kasmanas, Alexander Bartholomäus, João Pedro Saraiva, Sandra Godinho Silva, Tina Keller-Costa, Rodrigo Costa, Newton C M Gomes, André Carlos Ponce de Leon Ferreira de Carvalho and 3 more

Open access · goldAbstract read
In one paragraph

Article in Environmental microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Exercise and microbiome: From big data to therapy.Computational and structural biotechnology journal · 2023
    Review
  12. Review
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

13 authors at 8 institutions in 3 countries.

Muhammad Kabiru Nata'ala *Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Saxony, Germany.
Anderson P Avila Santos *Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Saxony, Germany.
Jonas Coelho KasmanasDepartment of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Saxony, Germany.
Alexander BartholomäusSection 3.7 Geomicrobiology, GFZ German Research Centre for Geosciences, 14473, Telegrafenberg, Potsdam, Germany.
João Pedro SaraivaDepartment of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Saxony, Germany.
Sandra Godinho SilvaDepartment of Bioengineering and Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001, Lisbon, Portugal.
Tina Keller-CostaDepartment of Bioengineering and Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001, Lisbon, Portugal.
Rodrigo CostaDepartment of Bioengineering and Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001, Lisbon, Portugal.
Newton C M GomesDepartment of Biology and Centre for Environmental and Marine Studies (CESAM), University of Aveiro, 3810-193, Aveiro, Portugal.
André Carlos Ponce de Leon Ferreira de CarvalhoInstitute of Mathematics and Computer Sciences, University of Sao Paulo, São Carlos, Brazil.
Peter F StadlerDepartment of Computer Science and Interdisciplinary Centre of Bioinformatics, University of Leipzig, 04107, Leipzig, Saxony, Germany.
Danilo Sipoli SanchesFederal University of Technology - Paraná (UTFPR), Cornélio Procópio, Brazil. danilo.sipoli@gmail.com.
Ulisses Nunes da RochaDepartment of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Saxony, Germany. ulisses.rocha@ufz.de.
Helmholtz Centre for Environmental Research · DEUniversity of Lisbon · PTHelmholtz Centre Potsdam - GFZ German Research Centre for Geosciences · DEInstitute for Biotechnology and Bioengineering · PTLeipzig University · DEUniversidade de São Paulo · BRUniversidade Tecnológica Federal do Paraná · BRUniversity of Aveiro · PT

Funding

Deutsche Forschungsgemeinschaft 460129525Deutscher Akademischer Austauschdienst 91759074Hemlholtz Association VH-NG-1248 Micro 'Big Data'Petroleum Trust Development Fund, Nigeria 91759074
6 · The paper itself

Abstract

backgroundMetagenomics is an expanding field within microbial ecology, microbiology, and related disciplines. The number of metagenomes deposited in major public repositories such as Sequence Read Archive (SRA) and Metagenomic Rapid Annotations using Subsystems Technology (MG-RAST) is rising exponentially. However, data mining and interpretation can be challenging due to mis-annotated and misleading metadata entries. In this study, we describe the Marine Metagenome Metadata Database (MarineMetagenomeDB) to help researchers identify marine metagenomes of interest for re-analysis and meta-analysis. To this end, we have manually curated the associated metadata of several thousands of microbial metagenomes currently deposited at SRA and MG-RAST.

resultsIn total, 125 terms were curated according to 17 different classes (e.g., biome, material, oceanic zone, geographic feature and oceanographic phenomena). Other standardized features include sample attributes (e.g., salinity, depth), sample location (e.g., latitude, longitude), and sequencing features (e.g., sequencing platform, sequence count). MarineMetagenomeDB version 1.0 contains 11,449 marine metagenomes from SRA and MG-RAST distributed across all oceans and several seas. Most samples were sequenced using Illumina sequencing technology (84.33%). More than 55% of the samples were collected from the Pacific and the Atlantic Oceans. About 40% of the samples had their biomes assigned as 'ocean'. The 'Quick Search' and 'Advanced Search' tabs allow users to use different filters to select samples of interest dynamically in the web app. The interactive map allows the visualization of samples based on their location on the world map. The web app is also equipped with a novel download tool (on both Windows and Linux operating systems), that allows easy download of raw sequence data of selected samples from their respective repositories. As a use case, we demonstrated how to use the MarineMetagenomeDB web app to select estuarine metagenomes for potential large-scale microbial biogeography studies.

conclusionThe MarineMetagenomeDB is a powerful resource for non-bioinformaticians to find marine metagenome samples with curated metadata and stimulate meta-studies involving marine microbiomes. Our user-friendly web app is publicly available at https://webapp.ufz.de/marmdb/ .

Indexed as

DatabaseMarine microbiomesMetadataMetagenomicsMicrobial ecology

Identifiers

PMID36401317
PMCPMC9675116
OpenAlexW4309326290

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.