Evidence map›Paper›PMID 41249156›Full record

ArticleScientific data2025

Recovery of 1,773 microbial genomes and 2,060 viral genomes from the Mars-analog Qaidam Basin desert.

Li Liu, Zhe Wang, Wensi Zhang, Wei Lin

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

4 authors.

Li LiuKey Laboratory of Planetary Science and Frontier Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-7284-5393
Zhe WangKey Laboratory of Planetary Science and Frontier Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China.
Wensi ZhangKey Laboratory of Planetary Science and Frontier Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China.
Wei LinKey Laboratory of Planetary Science and Frontier Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China. weilin@mail.iggcas.ac.cn.ORCID 0000-0003-4075-7414

Funding

National Natural Science Foundation of China (National Science Foundation of China) T2225011
6 · The paper itself

Abstract

The Qaidam Basin on the northern Tibetan Plateau represents a terrestrial Mars-analog desert characterized by hyperaridity, low temperatures, intense ultraviolet radiation, and high-salinity soils. To unveil the largely unexplored genomic diversity of microbes and viruses in this extreme environment, we collected 58 soil samples from various landforms and depths for metagenomic sequencing and analysis. We reconstructed 1,773 microbial metagenome-assembled genomes (mMAGs) and 2,060 viral MAGs (vMAGs), the vast majority (>94%) of which represent novel taxa. Among these, 327 mMAGs (completeness ≥ 90% and contamination ≤ 5%) and 325 vMAGs (completeness ≥ 90%) were classified as high-quality genomes. Taxonomic classification revealed that the bacterial, archaeal, and viral phyla with the largest numbers of genomes were Actinomycetota (n = 565), Halobacteriota (n = 111), and Uroviricota (n = 836), respectively. This metagenomic and genomic dataset provides valuable reference data for advancing our understanding of the diversity and function of microbial and viral communities across global desert ecosystems. Furthermore, these data offer astrobiological insights for research on life in Mars-analog extreme environments.

Indexed as

Genome, MicrobialGenome, ViralMarsSoil MicrobiologyDesert ClimateMetagenomeMetagenomicsTibet

Identifiers

PMID41249156
PMCPMC12624003

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.