Evidence map›Paper›PMID 32393172›Full record

ArticleBMC genomics2020

Assessment of databases to determine the validity of β- and γ-carbonic anhydrase sequences from vertebrates.

Reza Zolfaghari Emameh, Marianne Kuuslahti, Hassan Nosrati, Hannes Lohi, Seppo Parkkila

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Reza Zolfaghari EmamehDepartment of Energy and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, 14965/161, Iran. zolfaghari@nigeb.ac.ir.ORCID http://orcid.org/0000-0002-3253-7844
Marianne KuuslahtiFaculty of Medicine and Health Technology, Tampere University, FI-33520, Tampere, Finland.
Hassan NosratiDepartment of Materials Engineering, Tarbiat Modares University, Tehran, Iran.
Hannes LohiDepartment of Veterinary Biosciences, University of Helsinki, 00014, Helsinki, Finland.
Seppo ParkkilaFaculty of Medicine and Health Technology, Tampere University, FI-33520, Tampere, Finland.
Tampere University · FINational Institute of Genetic Engineering and Biotechnology · IRTarbiat Modares University · IRUniversity of Helsinki · FI

Funding

Academy of Finland 0Jane ja Aatos Erkon Säätiö 0National Institute for Genetic Engineering and Biotechnology 0
6 · The paper itself

Abstract

backgroundThe inaccuracy of DNA sequence data is becoming a serious problem, as the amount of molecular data is multiplying rapidly and expectations are high for big data to revolutionize life sciences and health care. In this study, we investigated the accuracy of DNA sequence data from commonly used databases using carbonic anhydrase (CA) gene sequences as generic targets. CAs are ancient metalloenzymes that are present in all unicellular and multicellular living organisms. Among the eight distinct families of CAs, including α, β, γ, δ, ζ, η, θ, and ι, only α-CAs have been reported in vertebrates.

resultsBy an in silico analysis performed on the NCBI and Ensembl databases, we identified several β- and γ-CA sequences in vertebrates, including Homo sapiens, Mus musculus, Felis catus, Lipotes vexillifer, Pantholops hodgsonii, Hippocampus comes, Hucho hucho, Oncorhynchus tshawytscha, Xenopus tropicalis, and Rhinolophus sinicus. Polymerase chain reaction (PCR) analysis of genomic DNA persistently failed to amplify positive β- or γ-CA gene sequences when Mus musculus and Felis catus DNA samples were used as templates. Further BLAST homology searches of the database-derived "vertebrate" β- and γ-CA sequences revealed that the identified sequences were presumably derived from gut microbiota, environmental microbiomes, or grassland ecosystems.

conclusionsOur results highlight the need for more accurate and fast curation systems for DNA databases. The mined data must be carefully reconciled with our best knowledge of sequences to improve the accuracy of DNA data for publication.

Indexed as

Databases, FactualAmino Acid SequenceAnimalsCarbonic AnhydrasesCatsDNAHumansIsoenzymesMiceSequence AlignmentCarbonic AnhydrasesDNAIsoenzymesCarbonic anhydraseContaminationCurationDatabaseDNASequencing

Identifiers

PMID32393172
PMCPMC7216627
OpenAlexW3027270491

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Registered trials

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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.