Evidence map›Paper›PMID 42111294›Full record

ArticleISME communications2026

Toward reproducible pig gut microbiome profiling through standardized methodologies.

Timur Yergaliyev, Samuel O Enokela, Gabi Eberhardt, Krzysztof Flisikowski, Stéphanie C Hornburg, Henry Reyer, Jens Tetens, Klaus Wimmers, Jürgen Zentek, Amélia Camarinha-Silva

Abstract read
In one paragraph

Article in ISME communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Timur YergaliyevHohenheim Center for Livestock Microbiome Research (HoLMiR), University of Hohenheim, 70599 Stuttgart, Germany.ORCID https://orcid.org/0000-0001-6180-2179
Samuel O EnokelaHohenheim Center for Livestock Microbiome Research (HoLMiR), University of Hohenheim, 70599 Stuttgart, Germany.ORCID https://orcid.org/0009-0003-3534-3927
Gabi EberhardtHohenheim Center for Livestock Microbiome Research (HoLMiR), University of Hohenheim, 70599 Stuttgart, Germany.
Krzysztof FlisikowskiInfection Pathogenesis, Technical University of Munich, 85354 Freising, Germany.ORCID https://orcid.org/0000-0001-5599-8558
Stéphanie C HornburgInstitute for Animal Nutrition and Physiology, Christian-Albrechts University Kiel, 24118 Kiel, Germany.
Henry ReyerPhysiological Genomics, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany.
Jens TetensFunctional Breeding, Georg-August University, 37077 Göttingen, Germany.ORCID https://orcid.org/0000-0001-5352-464X
Klaus WimmersPhysiological Genomics, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany.ORCID https://orcid.org/0000-0002-9523-6790
Jürgen ZentekInstitute of Animal Nutrition, Freie Universität Berlin, 14195 Berlin, Germany.ORCID https://orcid.org/0000-0003-2864-9250
Amélia Camarinha-SilvaHohenheim Center for Livestock Microbiome Research (HoLMiR), University of Hohenheim, 70599 Stuttgart, Germany.ORCID https://orcid.org/0000-0001-7814-6569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reproducible microbiome profiling is essential for linking microbial communities to host health, yet methodological variation continues to undermine reproducibility across studies. This problem is acute in pig microbiome research, where no standardized DNA extraction protocols exist despite the species' importance in agriculture and biomedicine. Here, we benchmark how 12 widely used extraction kits influence microbiome outcomes in 16S rRNA gene amplicon sequencing and shotgun metagenomics of pig fecal samples. We demonstrate that extraction choice biases 16S rRNA gene datasets, affecting DNA yield, diversity, community composition, and spike-in recovery, whereas metagenomic taxonomy and functional profiles are comparatively robust. Kit-dependent recovery of Gram-positive versus Gram-negative taxa revealed systematic biases with direct consequences for biological interpretation. By integrating spike-in controls, taxonomic resolution, and metagenome-assembled genomes, we establish a framework for evaluating DNA extraction methods in animal microbiome research. Our findings demonstrate that 16S rRNA gene amplicon sequencing is more susceptible to extraction-driven artifacts than metagenomics, highlighting the need for standardized protocols to ensure reproducibility and comparability across pig microbiome studies. Moreover, while shotgun metagenomics was comparatively robust to DNA extraction choice, the number of assembled good-quality metagenome-assembled genomes recovered was strongly dependent on the extraction kit selection.

Indexed as

16S rRNA gene amplicon sequencingmetagenomemicrobiomepigs

Identifiers

PMID42111294
PMCPMC13155110

What OpenQuestion holds

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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.