Evidence map›Paper›PMID 41221508›Full record

ArticleISME communications2025

Targeted metagenomics using probe capture detect a larger diversity of nitrogen and methane cycling genes in complex microbial communities than traditional metagenomics.

Henri M P Siljanen, Lokeshwaran Manoharan, Angus S Hilts, Alexandre Bagnoud, Ricardo J E Alves, Christopher M Jones, Melina Kerou, Felipa L Sousa, Sara Hallin, Christina Biasi and 1 more

Erratum issuedAbstract read
In one paragraph

Article in ISME communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Vegetation Increases CHGlobal change biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Henri M P SiljanenDepartment of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI-70210, Finland.ORCID https://orcid.org/0000-0002-3197-1438
Lokeshwaran ManoharanDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna A-1030, Austria.ORCID https://orcid.org/0000-0001-9751-5745
Angus S HiltsDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna A-1030, Austria.
Alexandre BagnoudDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna A-1030, Austria.
Ricardo J E AlvesDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna A-1030, Austria.
Christopher M JonesDepartment of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden.
Melina KerouDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna A-1030, Austria.
Felipa L SousaDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna A-1030, Austria.
Sara HallinDepartment of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden.ORCID https://orcid.org/0000-0002-9069-9024
Christina BiasiDepartment of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI-70210, Finland.
Christa SchleperDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna A-1030, Austria.ORCID https://orcid.org/0000-0002-1918-2735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms are key players in the global cycling of nitrogen and carbon, controlling their availability and fluxes, including the emissions of the powerful greenhouse gases nitrous oxide and methane. Standard sequencing methods often reveal only a limited fraction of their diversity, because of their low relative abundance, the insufficient sequencing depth of traditional metagenomes of complex communities, and limitations in coverage of DNA amplification-based assays. Here, we developed and tested a targeted metagenomics approach based on probe capture and hybridization to simultaneously characterize the diversity of multiple key metabolic genes involved in inorganic nitrogen and methane cycling. We designed comprehensive probe libraries for each of the 14 target marker genes comprising 264 111 unique probes. In validation experiments with mock communities, targeted metagenomics yielded gene profiles similar to the original communities. Only GC content had a small effect on probe efficiency, as low GC targets were less efficiently detected than those with high GC, within the mock communities. Furthermore, the relative abundances of the marker genes obtained using targeted or traditional shotgun metagenomics were significantly correlated. In addition, using archaeal

Indexed as

metagenomicsmethane cyclingnitrogen cyclingPCR amplicon sequencingprobe hybridization targeted metagenomicsshotgun metagenomics

Identifiers

PMID41221508
PMCPMC12598625

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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.