Evidence map›Paper›PMID 38842792›Full record

ArticleFish physiology and biochemistry2024

Transcriptome analysis of large yellow croaker (Larimichthys crocea) at different growth rates.

Yang Gao, Xuming Huang, Yanli Liu, Huirong Lv, Xiaolong Yin, Weiye Li, Zhangjie Chu

Abstract read
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In one paragraph

Article in Fish physiology and biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Multi-Organ Transcriptomic Analysis of Greater Amberjack (Animals : an open access journal from MDPI · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Transcriptomic Analysis ofAnimals : an open access journal from MDPI · 2025
    Article
  9. 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

7 authors.

Yang GaoFishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China. avgy1982@hotmail.com.
Xuming HuangFishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China.
Yanli LiuFishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China.
Huirong LvFishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China.
Xiaolong YinZhoushan Fisheries Research Institute, Zhoushan, China.
Weiye LiZhoushan Fisheries Research Institute, Zhoushan, China.
Zhangjie ChuFishery School, Zhejiang Ocean University, No.1 Haida South Road, Lincheng Street, Dinghai District, Zhoushan City, 316022, Zhejiang Province, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unsynchronized growth of the large yellow croaker (Larimichthys crocea), which impacts growth efficiency, poses a challenge for aquaculture practitioners. In our study, juvenile stocks of large yellow croaker were sorted by size after being cultured in offshore cages for 4 months. Subsequently, individuals from both the fast-growing (FG) and slow-growing (SG) groups were sampled for analysis. High-throughput RNA-Seq was employed to identify genes and pathways that are differentially expressed during varying growth rates, which could suggest potential physiological mechanisms that influence growth rate. Our transcriptome analysis identified 382 differentially expressed genes (DEGs), comprising 145 upregulated and 237 downregulated genes in comparison to the SG group. GO and KEGG enrichment analyses indicated that these DEGs are predominantly involved in signal transduction and biochemical metabolic pathways. Quantitative PCR (qPCR) results demonstrated that cat, fasn, idh1, pgd, fgf19, igf2, and fads2 exhibited higher expression levels, whereas gadd45b and gadd45g showed lower expression compared to the slow-growing group. In conclusion, the differential growth rates of large yellow croaker are intricately associated with cellular proliferation, metabolic rates of the organism, and immune regulation. These findings offer novel insights into the molecular mechanisms and regulatory aspects of growth in large yellow croaker and enhance our understanding of growth-related genes.

Indexed as

Gene Expression ProfilingPerciformesTranscriptomeAnimalsFish ProteinsFish ProteinsLarimichthys croceaMetabolic pathwaySignal transductionTranscriptomeUnsynchronized growth

Identifiers

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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.