Evidence map›Paper›PMID 39809797›Full record

ArticleScientific data2025

Chromosome-level reference genome and annotation of the Arctic fish Anisarchus medius.

Ruoyu Liu, Ziyu Meng, Yinan Mu, Ran Zhang, Hanhui Ma, Jingjing Hu, Yanan Wang, Yuxin Shi, Yanan Li, Chaofeng Wang and 4 more

Abstract read
PubMed Full text at PMC Publisher
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

14 authors.

Ruoyu LiuState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.ORCID http://orcid.org/0000-0003-0853-9863
Ziyu MengState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yinan MuState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Ran ZhangLaboratory of Marine Biodiversity Research, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China.
Hanhui MaState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Jingjing HuState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yanan WangState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yuxin ShiState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yanan LiGuangzhou Key Laboratory of Aquatic Animal Diseases and Waterfowl Breeding, College of Animal Sciences and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510222, China.
Chaofeng WangState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Weini ZhangState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Longshan LinLaboratory of Marine Biodiversity Research, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China. linlongshan@tio.org.cn.
Ping ZhengState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. zhengping13@mails.ucas.ac.cn.ORCID http://orcid.org/0000-0002-1236-9038
Xinhua ChenState Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, College of Marine Sciences, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. chenxinhua@tio.org.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32202995National Natural Science Foundation of China (National Science Foundation of China) 42276247Natural Science Foundation of Fujian Province (Fujian Provincial Natural Science Foundation) 2022J01135
6 · The paper itself

Abstract

Anisarchus medius (Reinhardt, 1837) is a widely distributed Arctic fish, serving as an indicator of climate change impacts on coastal Arctic ecosystems. This study presents a chromosome-level genome assembly for A. medius using PacBio sequencing and Hi-C technology. The PacBio assembly totaled 739.07 Mb across 697 contigs, with a Contig N50 of 10.004 Mb. Hi-C mapping yielded 23 chromosomes, with a successful mapping rate of 90.53% and a Scaffold N50 of 30.20 Mb. Genome BUSCO integrity was 97.05%. Repetitive sequences accounted for 240.83 Mb (32.58%) of the genome. Non-coding RNA annotations included 4,928 rRNAs, 9,663 tRNAs, 347 snRNAs, and 21 snoRNAs. A total of 30,345 protein-coding genes were identified, encoding 46,603 proteins, with a BUSCO completeness of 94.98%. Molecular pathway related to the endocrine system, carbohydrate metabolism, folding, sorting, and degradation, signal transduction, and transport and catabolism contribute to A. medius adaptation to extreme Arctic environments. This high-quality genome provides valuable genetic resources for understanding Arctic adaptations and supporting polar ecological conservation and management.

Indexed as

ChromosomesFishesGenomeAnimalsArctic RegionsMolecular Sequence Annotation

Identifiers

PMID39809797
PMCPMC11733169

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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.