Evidence map›Paper›PMID 41786724›Full record

ArticleScientific data2026

A high-quality chromosome-level genome assembly of a feather star Glyptometra sp. from a deep seamount.

Jing Wang, Shao'e Sun, Zijie Mei, Zhongli Sha, Nansheng Chen

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

5 authors.

Jing WangLaboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
Shao'e SunLaboratory of Marine Organism Taxonomy and Phylogeny, Shandong Province Key Laboratory of Marine Biodiversity and Bio-resource Sustainable Utilization, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
Zijie MeiLaboratory of Marine Organism Taxonomy and Phylogeny, Shandong Province Key Laboratory of Marine Biodiversity and Bio-resource Sustainable Utilization, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
Zhongli ShaLaboratory of Marine Organism Taxonomy and Phylogeny, Shandong Province Key Laboratory of Marine Biodiversity and Bio-resource Sustainable Utilization, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
Nansheng ChenLaboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China. chenn@qdio.ac.cn.ORCID http://orcid.org/0000-0002-0615-7215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feather stars are an important group for studying the evolution and environmental adaptability. However, the absence of a high-quality feather star genome from deep sea has hindered a thorough understanding of their adaptive evolution. In this study, we reported the first chromosome-level genome assembly of Glyptometra sp. from a deep seamount, Zhenbei seamount, in South China Sea. The Glyptometra sp. CNS01629 genome assembly has a total length of 1.14 Gb with a contig N50 length of 19.0 Mb and a scaffold N50 length of 84.75 Mb, encompassing 13 chromosomes, highlighting high genome continuity. Benchmarking Universal Single-Copy Orthologs (BUSCO) assessment yielded a completeness estimate of 98.1% for this assembly. We predicted a total of 20,814 protein coding genes (PCGs), with 20,309 functionally annotated. The availability of this high-quality chromosome-level genome of Glyptometra sp. CNS01629 contributes to our understanding of the origin and evolution of crinoids.

Indexed as

ChromosomesGenomeAnimalsChina

Identifiers

PMID41786724
PMCPMC13079724

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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.