Evidence map›Paper›PMID 41673402›Full record

ArticleScientific data2026

A curated resource of chemolithoautotrophic genomes and marker genes for CO₂ fixation pathway prediction.

Shuichi Kawashima, Yoko Okabeppu, Seiha Miyazawa, Natsuko Ichikawa, Hikaru Nagazumi, Yutaka Nishihara, Takeru Nakazato, Susumu Goto, Ken Kurokawa, Masaharu Ishii and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 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

11 authors.

Shuichi KawashimaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Kashiwa, Chiba, 277-0871, Japan.
Yoko OkabeppuOKBP Inc., Yokohama, Japan.
Seiha MiyazawaBiological Resource Center, National Institute of Technology and Evaluation, Shibuya-ku, Tokyo, 151-0066, Japan.
Natsuko IchikawaBiological Resource Center, National Institute of Technology and Evaluation, Shibuya-ku, Tokyo, 151-0066, Japan.
Hikaru NagazumiDepartment of Computer Science and Engineering, Waseda University, Shinjuku-ku, Tokyo, 169-8555, Japan.
Yutaka NishiharaBiological Resource Center, National Institute of Technology and Evaluation, Shibuya-ku, Tokyo, 151-0066, Japan.
Takeru NakazatoBiological Resource Center, National Institute of Technology and Evaluation, Shibuya-ku, Tokyo, 151-0066, Japan.
Susumu GotoDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Kashiwa, Chiba, 277-0871, Japan.
Ken KurokawaDepartment of Informatics, National Institute of Genetics, Mishima, Shizuoka, 411-8540, Japan.ORCID http://orcid.org/0000-0001-8662-9958
Masaharu IshiiBiological Resource Center, National Institute of Technology and Evaluation, Shibuya-ku, Tokyo, 151-0066, Japan.
Hiroshi MoriDepartment of Informatics, National Institute of Genetics, Mishima, Shizuoka, 411-8540, Japan. hmori@nig.ac.jp.ORCID http://orcid.org/0000-0003-0806-7704

Funding

Japan Science Society JPMJND2206New Energy and Industrial Technology Development Organization (NEDO) JPNP22010
6 · The paper itself

Abstract

Autotrophic CO₂ fixation is a fundamental metabolic process that enables microorganisms to inhabit carbon-limited environments. Multiple pathways mediate this process, with variants distributed across diverse taxa and some genes shared among pathways, making their identification from genomic data challenging. Here, we present a curated resource comprising pathway-specific KEGG Orthology marker genes and a lightweight, rule-based tool AutoFixMark for predicting the presence of seven known CO₂ fixation pathways in microbial genomes. To support marker gene identification and benchmarking, we compiled two reference datasets: (i) 347 manually curated chemolithoautotrophic genomes from 16 phyla, and (ii) a set of 15 well-characterized chemolithoautotrophic genomes used for defining pathway-specific marker genes. Using these marker genes, we developed AutoFixMark and evaluated its performance against two existing tools, METABOLIC and gapseq. Benchmarking results show that AutoFixMark achieves high precision and recall, particularly for pathways that are underrepresented in current tools. All curated gene sets, prediction rules, the AutoFixMark program, and benchmark datasets are publicly available, providing valuable resources for assessing autotrophic carbon fixation potential in microbial genomes.

Indexed as

Carbon DioxideChemoautotrophic GrowthGenome, BacterialGenome, MicrobialAutotrophic ProcessesBiocurationGenetic MarkersCarbon DioxideGenetic Markers

Identifiers

PMID41673402
PMCPMC12894919

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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.