Evidence map›Paper›PMID 41617724›Full record

ArticleScientific data2026

Fungal photobiont and microbiome genome composition in the Cladonia uncialis tripartite symbiosis.

Zhuang Dong, Meng Shan Sun, Yue Dong He, Li Zhou, Wei Xiang, XinYao Li, Peng Huang, Jian Guo Zeng

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. 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

8 authors.

Zhuang Dong *College of Horticulture, Hunan Agricultural University, Changsha, 410128, Hunan, China.
Meng Shan Sun *Yuelushan Laboratory, Changsha, 410000, China.
Yue Dong HeCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, Hunan, China.
Li ZhouYuelushan Laboratory, Changsha, 410000, China.
Wei XiangCollege of Horticulture, Hunan Agricultural University, Changsha, 410128, Hunan, China.
XinYao LiYuelushan Laboratory, Changsha, 410000, China.
Peng HuangYuelushan Laboratory, Changsha, 410000, China. huangpeng@hunau.edu.cn.
Jian Guo ZengYuelushan Laboratory, Changsha, 410000, China. zengjianguo@hunau.edu.cn.ORCID http://orcid.org/0000-0003-0428-5990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As symbiotic complexes formed through the association of bacteria or algae with fungi, lichens exhibit exceptional adaptability to extreme environments and function as pioneer species in rocky habitat ecological succession. The absence of high quality chromosome-level genome has constrained investigations into lichen adaptive evolution, while functional contributions of symbiotic bacterial communities remain inadequately explored. This study presents the chromosome-level genome assembly of the mycobiont Cladonia uncialis, comprising 28 chromosomes with a total size of 43.49 Mb, generated through integrated PacBio HiFi and Hi-C methodologies. We characterized the symbiotic microbiota using integrated short and long-read sequencing and constructed 31 metagenome-assembled genomes. The community was dominated by Ascomycota (41.16%), Proteobacteria (17.61%), and Bacteroidota (14.20%). Long-read sequencing significantly enhanced detection sensitivity for low-abundance taxa. This study provides essential genomic resources and comprehensive profiles of the symbiotic microbiota, enabling mechanistic exploration of adaptive evolution within lichen symbiotic systems under extreme environmental conditions.

Indexed as

AscomycotaGenome, FungalLichensMicrobiotaSymbiosisGenome, BacterialMetagenome

Identifiers

PMID41617724
PMCPMC12960683

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.