Evidence map›Paper›PMID 41251872›Full record

ReviewMarine biotechnology (New York, N.Y.)2025

Current State of Fish Reference Genome and Pangenome: Methodologies, Sampling Strategies, Quality Assessment and Future Perspectives to Aquaculture Breeding.

Zhanjiang Liu, Dongya Gao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Marine biotechnology (New York, N.Y.), 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. The pangenome ofiScience · 2026
    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

2 authors.

Zhanjiang LiuDepartment of Biology, College of Arts and Sciences, Tennessee Technological University, Cookeville, TN, 38505, USA. johnliu@tntech.edu.
Dongya GaoDepartment of Biology, College of Arts and Sciences, Tennessee Technological University, Cookeville, TN, 38505, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome research has dominated life sciences research in the last two decades. Of approximately 11,000 sequenced vertebrate genomes, genomes of teleost fish represent about 30%, with reference genome sequences available for most aquaculture fish species. While such progress has accelerated progress in aquaculture genetics research and breeding, it is clear that understanding of full genomic variations among aquaculture species is lacking. This is largely because of the way reference genomic sequences were produced, with a single or just a few genomes being sequenced. In addition, haplotype variations and their representation in the species or population are unknown. This hinders understanding of genomic basis of phenotypic variations relevant to performance and production traits such as growth rates, feed conversion efficiency, disease resistance, stress responses, processing yields, and reproductive traits, among other traits, especially so with strain-specific performance traits. The pangenome refers to a whole collection of genomic sequences found in the entire species or population rather than in a single individual, as represented in reference genomes. Pangenome includes the core genome sequence that are shared in all individuals, and variable or dispensable genome sequence found in a subset of individuals, representing intraspecies genomic variations. In this review, we present the current state of reference genomes and reference pangenomes, compare the advantages and disadvantages of various methods in producing pangenomes, propose the concept of pangenome plus (pangenome

Indexed as

AquacultureBreedingFishesGenomeGenomicsAnimalsGenetic VariationBreedingFishGenomeHybridPangenomePangenome plus (pangenome+)Performance traits

Identifiers

What OpenQuestion holds

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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.