Evidence map›Paper›PMID 39552505›Full record

ArticleMolecular ecology resources2025

Probe Capture Enrichment Sequencing of amoA Genes Improves the Detection of Diverse Ammonia-Oxidising Archaeal and Bacterial Populations.

Satoshi Hiraoka, Minoru Ijichi, Hirohiko Takeshima, Yohei Kumagai, Ching-Chia Yang, Yoko Makabe-Kobayashi, Hideki Fukuda, Susumu Yoshizawa, Wataru Iwasaki, Kazuhiro Kogure and 1 more

Abstract read
In one paragraph

Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Satoshi HiraokaResearch Center for Bioscience and Nanoscience (CeBN), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Kanagawa, Japan.ORCID https://orcid.org/0000-0001-5008-0916
Minoru IjichiAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID https://orcid.org/0000-0001-8916-0833
Hirohiko TakeshimaAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID https://orcid.org/0009-0000-0007-1333
Yohei KumagaiAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.
Ching-Chia YangAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.
Yoko Makabe-KobayashiAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.
Hideki FukudaAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.
Susumu YoshizawaAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID https://orcid.org/0000-0001-9667-6010
Wataru IwasakiAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID https://orcid.org/0000-0002-9169-9245
Kazuhiro KogureAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.
Takuhei ShiozakiAtmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID https://orcid.org/0000-0002-5160-3472

Funding

Japan Science and Technology Agency JPMJCR11A3Japan Science and Technology Agency JPMJCR19S2Japan Society for the Promotion of Science JP19H04263Japan Society for the Promotion of Science JP20K15444Japan Society for the Promotion of Science JP21H03592Japan Society for the Promotion of Science JP22H03716Japan Society for the Promotion of Science JP22H04925Japan Society for the Promotion of Science JP23H05411Ministry of Education, Culture, Sports, Science and Technology JPMXD1521474594
6 · The paper itself

Abstract

The ammonia monooxygenase subunit A (amoA) gene has been used to investigate the phylogenetic diversity, spatial distribution and activity of ammonia-oxidising archaeal (AOA) and bacterial (AOB), which contribute significantly to the nitrogen cycle in various ecosystems. Amplicon sequencing of amoA is a widely used method; however, it produces inaccurate results owing to the lack of a 'universal' primer set. Moreover, currently available primer sets suffer from amplification biases, which can lead to severe misinterpretation. Although shotgun metagenomic and metatranscriptomic analyses are alternative approaches without amplification bias, the low abundance of target genes in heterogeneous environmental DNA restricts a comprehensive analysis to a realisable sequencing depth. In this study, we developed a probe set and bioinformatics workflow for amoA enrichment sequencing using a hybridisation capture technique. Using metagenomic mock community samples, our approach effectively enriched amoA genes with low compositional changes, outperforming amplification and meta-omics sequencing analyses. Following the analysis of metatranscriptomic marine samples, we predicted 80 operational taxonomic units (OTUs) assigned to either AOA or AOB, of which 30 OTUs were unidentified using simple metatranscriptomic or amoA gene amplicon sequencing. Mapped read ratios to all the detected OTUs were significantly higher for the capture samples (50.4 ± 27.2%) than for non-capture samples (0.05 ± 0.02%), demonstrating the high enrichment efficiency of the method. The analysis also revealed the spatial diversity of AOA ecotypes with high sensitivity and phylogenetic resolution, which are difficult to examine using conventional approaches.

Indexed as

AmmoniaArchaeaBacteriaOxidoreductasesComputational BiologyMetagenomicsOxidation-ReductionPhylogenySequence Analysis, DNAAmmoniaammonia monooxygenaseOxidoreductasesammonia‐oxidising prokaryotesamoA genemarine prokaryotesmetagenomemetatranscriptometarget gene enrichment

Identifiers

PMID39552505
PMCPMC11887609

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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.