Evidence map›Paper›PMID 38622248›Full record

ArticleScientific reports2024

Comparison of DNA extraction methods on different sample matrices within the same terrestrial ecosystem.

Giulio Galla, Nadine Praeg, Theresa Rzehak, Else Sprecher, Filippo Colla, Julia Seeber, Paul Illmer, Heidi C Hauffe

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 25 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

8 authors at 4 institutions in 2 countries.

Giulio GallaConservation Genomics Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, S. Michele all'Adige, Italy. giulio.galla@fmach.it.
Nadine PraegDepartment of Microbiology, Universität Innsbruck, Innsbruck, Austria.
Theresa RzehakDepartment of Microbiology, Universität Innsbruck, Innsbruck, Austria.
Else SprecherConservation Genomics Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, S. Michele all'Adige, Italy.
Filippo CollaInstitute for Alpine Environment, EURAC Research, Bolzano, Italy.
Julia SeeberInstitute for Alpine Environment, EURAC Research, Bolzano, Italy.
Paul IllmerDepartment of Microbiology, Universität Innsbruck, Innsbruck, Austria.
Heidi C HauffeConservation Genomics Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, S. Michele all'Adige, Italy.
Universität Innsbruck · ATFondazione Edmund Mach · ITEurac Research · ITUniversity of Palermo · IT

Funding

"Euregio Tirolo-Alto Adige-Trentino" Interregional Project Network IPN94
6 · The paper itself

Abstract

Metataxonomic studies of ecosystem microbiotas require the simultaneous processing of samples with contrasting physical and biochemical traits. However, there are no published studies of comparisons of different DNA extraction kits to characterize the microbiotas of the main components of terrestrial ecosystems. Here, and to our knowledge for the first time, five DNA extraction kits were used to investigate the composition and diversity of the microbiota of a subset of samples typically studied in terrestrial ecosystems such as bulk soil, rhizosphere soil, invertebrate taxa and mammalian feces. DNA extraction kit was associated with changes in the relative abundance of hundreds of ASVs, in the same samples, resulting in significant differences in alpha and beta diversity estimates of their microbiotas. Importantly, the impact of DNA extraction kit on sample diversity varies according to sample type, with mammalian feces and soil samples showing the most and least consistent diversity estimates across DNA extraction kits, respectively. We show that the MACHEREY-NAGEL NucleoSpin® Soil kit was associated with the highest alpha diversity estimates, providing the highest contribution to the overall sample diversity, as indicated by comparisons with computationally assembled reference communities, and is recommended to be used for any large-scale microbiota study of terrestrial ecosystems.

Indexed as

EcosystemMicrobiotaAnimalsDNADNA, BacterialFecesMammalsRNA, Ribosomal, 16SSoilDNADNA, BacterialRNA, Ribosomal, 16SSoil16S rRNA geneAmplicon-sequencingMetataxonomyMethod evaluationMICCA

Identifiers

PMID38622248
PMCPMC11018758
OpenAlexW4394822572

What OpenQuestion holds

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LicenceCC BY
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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.