Evidence map›Paper›PMID 39741138›Full record

ArticleScientific data2024

Chromosome-level genome assembly of Triplophysa bombifrons using PacBio HiFi sequencing and Hi-C technologies.

Chengxin Wang, Site Luo, Yong Song, Liting Yang, Xinyue Wang, Shengao Chen

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. 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

6 authors.

Chengxin Wang *College of Life Science and Technology/Tarim Research Center of Rare Fishes, Tarim University, CN-0997, Alar 843300, Xinjiang Uygur Autonomous Region, Xinjiang, China.
Site Luo *School of Life Sciences, Xiamen University, Xiamen, 361102, China.
Yong SongCollege of Life Science and Technology/Tarim Research Center of Rare Fishes, Tarim University, CN-0997, Alar 843300, Xinjiang Uygur Autonomous Region, Xinjiang, China.
Liting YangCollege of Life Science and Technology/Tarim Research Center of Rare Fishes, Tarim University, CN-0997, Alar 843300, Xinjiang Uygur Autonomous Region, Xinjiang, China.
Xinyue WangCollege of Life Science and Technology/Tarim Research Center of Rare Fishes, Tarim University, CN-0997, Alar 843300, Xinjiang Uygur Autonomous Region, Xinjiang, China.
Shengao ChenCollege of Life Science and Technology/Tarim Research Center of Rare Fishes, Tarim University, CN-0997, Alar 843300, Xinjiang Uygur Autonomous Region, Xinjiang, China. shengao@taru.edu.cn.ORCID 0000-0003-0716-8511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triplophysa bombifrons, a species of bony fish localized in China, has largely been understudied genetically, with limited data available beyond its mitochondrial genome. This study introduces a chromosome-level genome assembly for T. bombifrons, achieved through the integration of PacBio long-read sequencing and Hi-C chromatin interaction mapping. The assembly reveals a genome structure comprising 25 chromosomes and an overall size of 655.95 Mb. The quality of this assembly is demonstrated by a scaffold N50 length of 24.25 Mb, and a genome completeness evaluation via BUSCO, which shows that 97.4% of the Vertebrata Benchmarking Universal Single-Copy Orthologs are present. Gene prediction methods including de novo, homology-based, and transcript-based, identified 34,211 genes, with 34,151 being functionally annotated. These findings may provide valuable resources in conservation, functional genomics, and molecular breeding of T. bombifrons, as well as the molecular phylogenetics and evolutionary patterns in Triplophysa.

Indexed as

ChromosomesGenomeAnimalsFishesGenomics

Identifiers

PMID39741138
PMCPMC11688504

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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.