Evidence map›Paper›PMID 41339358›Full record

ArticleScientific data2025

Reconstruction of 1,979 prokaryotic metagenome-assembled genomes from 37 global cave environments.

Huihong Li, Yuping Cao, Xueke Liu, Zelin Ke, Liang Chen, Bupe A Siame, Sima Yaron, Ka Yin Leung

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

8 authors.

Huihong Li *Program in Computational Biology and Biomedical Informatics, Yale University, New Haven, Connecticut, 06511, United States of America.ORCID 0009-0006-4572-7176
Yuping Cao *Biotechnology and Food Engineering, Guangdong Technion - Israel Institute of Technology, Shantou, 515063, China.
Xueke LiuBiotechnology and Food Engineering, Guangdong Technion - Israel Institute of Technology, Shantou, 515063, China.
Zelin KeBiotechnology and Food Engineering, Guangdong Technion - Israel Institute of Technology, Shantou, 515063, China.
Liang ChenDepartment of Computer Science and Technology, College of Mathematics and Computer, Shantou University, Shantou, 515063, China.
Bupe A SiameDepartment of Biology, Trinity Western University, Langley, British Columbia, V2Y 1Y1, Canada.
Sima YaronBiotechnology and Food Engineering, Guangdong Technion - Israel Institute of Technology, Shantou, 515063, China. simay@bfe.technion.ac.il.
Ka Yin LeungBiotechnology and Food Engineering, Guangdong Technion - Israel Institute of Technology, Shantou, 515063, China. kayin.leung@gtiit.edu.cn.ORCID 0000-0002-3612-7703

Funding

Li Ka Shing Foundation (Li Ka Shing Foundation Limited) 2024LKSFG07National Natural Science Foundation of China (National Science Foundation of China) 32373177
6 · The paper itself

Abstract

Cave microorganisms represent unique extremophiles that have evolved in isolated, nutrient-limited environments and harbor exceptional metabolic capabilities. However, knowledge of cave microbial diversity at genomic level remains limited. Previous studies have focused on individual caves and do not give a global picture. Here, we present the first prokaryotic cave metagenomic catalog from 37 geographical diverse cave environments. We employed an optimized genome reconstruction pipeline to recover 3,837 medium-to-high quality cave metagenome-assembled genomes (MAGs). These MAGs were dereplicated into 1,979 species-level representative clusters that spanned 67 phyla of Bacteria (n = 1,858) and Archaea (n = 121) domains. Classification of representative species showed that 98.7% did not match any existing genome taxonomy classification of named species at ≥ 95% average nucleotide identity (ANI). Most representative genomes harbored putative biosynthetic gene clusters (BGCs) (98.0%) and enzymatic antibiotic resistance genes (ARGs) (95.0%). This comprehensive MAGs catalog provides a foundational resource for exploring cave microbial diversity, secondary metabolism, and the evolutionary origins of antibiotic resistance in subterranean ecosystems.

Indexed as

ArchaeaBacteriaCavesGenome, ArchaealGenome, BacterialMetagenome

Identifiers

PMID41339358
PMCPMC12675795

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.