Evidence map›Paper›PMID 38092853›Full record

ArticleScientific reports2023

Benchmarking DNA isolation methods for marine metagenomics.

Alina Demkina, Darya Slonova, Viktor Mamontov, Olga Konovalova, Daria Yurikova, Vladimir Rogozhin, Vera Belova, Dmitriy Korostin, Dmitry Sutormin, Konstantin Severinov and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Environmental Adaptation Strategies of Deep-Sea Fungi.Journal of fungi (Basel, Switzerland) · 2026
    Review
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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

11 authors at 4 institutions in 2 countries.

Alina Demkina *Skolkovo Institute of Science and Technology, Moscow, Russia.
Darya Slonova *Skolkovo Institute of Science and Technology, Moscow, Russia.
Viktor MamontovSkolkovo Institute of Science and Technology, Moscow, Russia.
Olga KonovalovaMarine Research Center of Lomonosov Moscow State University, Moscow, Russia.
Daria YurikovaMarine Research Center of Lomonosov Moscow State University, Moscow, Russia.
Vladimir RogozhinMarine Research Center of Lomonosov Moscow State University, Moscow, Russia.
Vera BelovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Dmitriy KorostinCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Dmitry SutorminSkolkovo Institute of Science and Technology, Moscow, Russia. d.a.sutormin@gmail.com.
Konstantin SeverinovWaksman Institute of Microbiology, Piscataway, USA. severik@waksman.rutgers.edu.
Artem IsaevSkolkovo Institute of Science and Technology, Moscow, Russia. A.Isaev@skoltech.ru.
Skolkovo Institute of Science and Technology · RULomonosov Moscow State University · RUPirogov Russian National Research Medical University · RUEnvironmental and Occupational Health Sciences Institute · US

Funding

Ministry of Science and Higher Education of the Russian Federation 075-10-2021-114Russian Scientific Foundation 22-14-00004
6 · The paper itself

Abstract

Metagenomics is a powerful tool to study marine microbial communities. However, obtaining high-quality environmental DNA suitable for downstream sequencing applications is a challenging task. The quality and quantity of isolated DNA heavily depend on the choice of purification procedure and the type of sample. Selection of an appropriate DNA isolation method for a new type of material often entails a lengthy trial and error process. Further, each DNA purification approach introduces biases and thus affects the composition of the studied community. To account for these problems and biases, we systematically investigated efficiency of DNA purification from three types of samples (water, sea sediment, and digestive tract of a model invertebrate Magallana gigas) with eight commercially available DNA isolation kits. For each kit-sample combination we measured the quantity of purified DNA, extent of DNA fragmentation, the presence of PCR-inhibiting contaminants, admixture of eukaryotic DNA, alpha-diversity, and reproducibility of the resulting community composition based on 16S rRNA amplicons sequencing. Additionally, we determined a "kitome", e.g., a set of contaminating taxa inherent for each type of purification kit used. The resulting matrix of evaluated parameters allows one to select the best DNA purification procedure for a given type of sample.

Indexed as

DNADNA, BacterialMetagenomicsReproducibility of ResultsRNA, Ribosomal, 16SSequence Analysis, DNADNADNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID38092853
PMCPMC10719357
OpenAlexW4389674288

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.