Evidence map›Paper›PMID 40004248›Full record

ArticleInternational journal of molecular sciences2025

Chr23-miR-200s and Dmrt1 Control Sexually Dimorphic Trade-Off Between Reproduction and Growth in Zebrafish.

Si Ge, Ying Liu, Haoran Huang, Jiawang Yu, Xiaohui Li, Qiaohong Lin, Peipei Huang, Jie Mei

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 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

8 authors.

Si GeHubei Hongshan Laboratory, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0009-0000-2337-4644
Ying LiuHubei Hongshan Laboratory, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.
Haoran HuangSchool of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Jiawang YuHubei Hongshan Laboratory, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.
Xiaohui LiYangtze River Fisheries Research Institute, Chinese Academy of Fisheries, Wuhan 430223, China.ORCID 0000-0001-5087-3270
Qiaohong LinState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, The Innovative Academy of Seed Design, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.
Peipei HuangSchool of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Jie MeiHubei Hongshan Laboratory, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.

Funding

Excellent Youth Foundation of Hubei Provincial Natural Science Foundation 2021CFA057Foundation of Hubei Hongshan Laboratory 2021hszd020National Natural Science Foundation of China 31900585National Natural Science Foundation of China 31902355
6 · The paper itself

Abstract

In animals, a trade-off exists between reproduction and growth, which are the most fundamental traits. Males and females exhibit profound differences in reproduction and growth in fish species. However, the precise molecular mechanism governing this phenomenon is still not clear. Here, we uncovered that chr23-miR-200s and

Indexed as

MicroRNAsReproductionSex CharacteristicsTranscription FactorsZebrafishZebrafish Proteins3' Untranslated RegionsAnimalsAnimals, Genetically ModifiedFemaleGene Expression Regulation, DevelopmentalMaleSTAT5 Transcription Factor3' Untranslated RegionsDMRT1 proteinMicroRNAsSTAT5 Transcription FactorTranscription FactorsZebrafish ProteinsDmrt1growthmiR-200reproductionsexual dimorphismtrade-off

Identifiers

PMID40004248
PMCPMC11855846

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.