Evidence map›Paper›PMID 36765276›Full record

ArticleBMC genomics2023

microRNA regulation of skin pigmentation in golden-back mutant of crucian carp from a rice-fish integrated farming system.

Xianbo Zhang, Mingkun Luo, Bingjie Jiang, Wenbin Zhu, Qianwen Min, Jinli Hu, Ting Liu, Jianjun Fu, Xiulan Shi, Pan Wang and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Study on the Regulatory Mechanisms of Carapace Marking Formation inAnimals : an open access journal from MDPI · 2025
    Article
  2. Review
  3. 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

12 authors.

Xianbo Zhang *Guizhou Fisheries Research Institute, Guizhou Academy of Agriculture Sciences, Guiyang, Guizhou, China.
Mingkun Luo *Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Freshwater Fisheries Research Center of Chinese Academy of Fishery Sciences, Ministry of Agriculture and Rural Affairs, Wuxi, Jiangsu, China.
Bingjie Jiang *Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, Jiangsu, China.
Wenbin ZhuKey Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Freshwater Fisheries Research Center of Chinese Academy of Fishery Sciences, Ministry of Agriculture and Rural Affairs, Wuxi, Jiangsu, China.
Qianwen MinGuizhou Fisheries Research Institute, Guizhou Academy of Agriculture Sciences, Guiyang, Guizhou, China.
Jinli HuGuizhou Fisheries Research Institute, Guizhou Academy of Agriculture Sciences, Guiyang, Guizhou, China.
Ting LiuGuizhou Fisheries Research Institute, Guizhou Academy of Agriculture Sciences, Guiyang, Guizhou, China.
Jianjun FuKey Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Freshwater Fisheries Research Center of Chinese Academy of Fishery Sciences, Ministry of Agriculture and Rural Affairs, Wuxi, Jiangsu, China.
Xiulan ShiWuxi Fisheries College, Nanjing Agricultural University, Wuxi, Jiangsu, China.
Pan WangCollege of Fisheries and Life Science, Shanghai Ocean University, Shanghai, China.
Lanmei WangKey Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Freshwater Fisheries Research Center of Chinese Academy of Fishery Sciences, Ministry of Agriculture and Rural Affairs, Wuxi, Jiangsu, China.
Zaijie DongKey Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Freshwater Fisheries Research Center of Chinese Academy of Fishery Sciences, Ministry of Agriculture and Rural Affairs, Wuxi, Jiangsu, China. dongzj@ffrc.cn.

Funding

Earmarked Fund for China Agriculture Research System CARS-45 and CARS-46Germplasm Resources Project of Guizhou Academy of Agriculture Sciences [2022] 05
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are endogenous small non-coding RNAs (21-25 nucleotides) that act as essential components of several biological processes. Golden-back crucian carp (GBCrC, Carassius auratus) is a naturally mutant species of carp that has two distinct body skin color types (golden and greenish-grey), making it an excellent model for research on the genetic basis of pigmentation. Here, we performed small RNA (sRNA) analysis on the two different skin colors via Illumina sequencing.

resultsA total of 679 known miRNAs and 254 novel miRNAs were identified, of which 32 were detected as miRNAs with significant differential expression (DEMs). 23,577 genes were projected to be the targets of 32 DEMs, primarily those involved in melanogenesis, adrenergic signaling in cardiomyocytes, MAPK signaling pathway and wnt signaling pathway by functional enrichment. Furthermore, we built an interaction module of mRNAs, proteins and miRNAs based on 10 up-regulated and 13 down-regulated miRNAs in golden skin. In addition to transcriptional destabilization and translational suppression, we discovered that miRNAs and their target genes were expressed in the same trend at both the transcriptional and translational levels. Finally, we discovered that miR-196d could be indirectly implicated in regulating melanocyte synthesis and motility in the skin by targeting to myh7 (myosin-7) gene through the luciferase reporter assay, antagomir silencing in vivo and qRT-PCR techniques.

conclusionsOur study gives a systematic examination of the miRNA profiles expressed in the skin of GBCrC, assisting in the comprehension of the intricate molecular regulation of body color polymorphism and providing insights for C. auratus breeding research.

Indexed as

CarpsMicroRNAsOryzaAnimalsGene Expression ProfilingPlant BreedingSkin PigmentationMicroRNAsGolden-back crucian carpmiR-196dmiRNAMyh7Skin color

Identifiers

PMID36765276
PMCPMC9912656

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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.