Evidence map›Paper›PMID 37902391›Full record

ArticleApplied and environmental microbiology2023

Metabolic versatility of soil microbial communities below the rocks of the hyperarid Dalangtan Playa.

Li Liu, Yan Chen, Jianxun Shen, Yongxin Pan, Wei Lin

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
7.9field-weighted citation impact, top 3% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Li LiuKey Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences , Beijing, China.ORCID 0000-0001-7284-5393
Yan ChenKey Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences , Beijing, China.
Jianxun ShenKey Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences , Beijing, China.
Yongxin PanKey Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences , Beijing, China.
Wei LinKey Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences , Beijing, China.ORCID 0000-0003-4075-7414
Chinese Academy of Sciences · CN

Funding

Key Research Program of the Chinese Academy of Sciences ZDBS-SSW-TLC001Key Research Programs of the Institute of Geology and Geophysics, Chinese Academy of Sciences IGGCAS-201904, IGGCAS-202102National Natural Science Foundation of China (NSFC) T2225011
6 · The paper itself

Abstract

importanceThe hyperarid Dalangtan Playa in the western Qaidam Basin, northwestern China, is a unique terrestrial analog of Mars. Despite the polyextreme environments of this area, habitats below translucent rocks capable of environmental buffering could serve as refuges for microbial life. In this study, the hybrid assembly of Illumina short reads and Nanopore long reads recovered high-quality and high-continuity genomes, allowing for high-accuracy analysis and a deeper understanding of extremophiles in the sheltered soils of the Dalangtan Playa. Our findings reveal self-supporting and metabolically versatile sheltered soil communities adapted to a hyperarid and hypersaline playa, which provides implications for the search for life signals on Mars.

Indexed as

MicrobiotaSoilChinaDesert ClimateSoil MicrobiologySoiladaptive strategiesdesert ecosystemshybrid assemblyhyperariditymetagenomesheltered soil

Identifiers

PMID37902391
PMCPMC10686078
OpenAlexW4388014477

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.