Evidence map›Paper›PMID 31111266›Full record

ArticleFunctional & integrative genomics2019

Integrated analysis of RNA-seq and microRNA-seq depicts miRNA-mRNA networks involved in stripe patterns of Botia superciliaris skin.

Jian Zhou, Han Zhao, Lu Zhang, Can Liu, Siyuan Feng, Jideng Ma, Qiang Li, Hongyu Ke, Xinyu Wang, Lingyan Liu and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Comparative Analysis of miRNA-mRNA Regulation in the Testes ofInternational journal of molecular sciences · 2023
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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

14 authors at 2 institutions in 1 country.

Jian ZhouFisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611731, Sichuan, China.
Han ZhaoCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Lu ZhangFisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611731, Sichuan, China.
Can LiuCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Siyuan FengCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Jideng MaCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Qiang LiFisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611731, Sichuan, China.
Hongyu KeFisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611731, Sichuan, China.
Xinyu WangFisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611731, Sichuan, China.
Lingyan LiuCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Chao LiuFisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611731, Sichuan, China.
Xutao SuFisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611731, Sichuan, China.
Yingkai LiuCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China. yingkai_liu@126.com.
Song YangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China. ysys210@hotmail.com.
Sichuan Academy of Agricultural Sciences · CNSichuan Agricultural University · CN

Funding

2017 science and technology innovation (seedling project) cultivation and invention creation project in sichuan province 17-ycg063Research and demonstration on breeding and large-scale farming technology of Botia superciliaris in sichuan province financial innovation ability project 2016GYSH-020
6 · The paper itself

Abstract

Botia superciliaris, an endemic cobitid fish in China, is widely accepted by Chinese consumers because its edibility. Recently, the black and yellow stripes of B. superciliaris skin have made this species increasingly popular as a novel ornamental fish. However, the genetic basis of the stripe patterns in B. superciliaris skin has not been extensively studied. In this study, Illumina sequencing was employed to identify the mRNAs and miRNAs involved in stripe pattern formation in B. superciliaris skin. A total of 147.25 and 155.15 million (M) high-quality transcriptome reads were generated from three black and yellow skin libraries respectively, which resulted in 159,327 unigenes that were used as reference sequences. A total of 3169 genes exhibited significantly differential expression patterns (fold-change ≥ 2 or ≤ 0.5 and q ≤ 0.05), including 1891 upregulated genes (59.67%) and 1278 downregulated genes (40.33%) in black vs yellow skin. These genes were enriched in 50 GO terms and 10 KEGG pathways (q ≤ 0.05), including melanogenesis, with 21 upregulated genes and 5 downregulated genes in black vs yellow skin. Based on the zebrafish genome, miRNA-seq identified a total of 355 miRNAs, which included 38 novel miRNAs. Furthermore, 87 differentially expressed miRNAs including 50 upregulated and 37 downregulated miRNAs were identified in different color skin (fold-change ≥ 2 or ≤ 0.5 and q ≤ 0.05). Then, target prediction revealed a variety of putative target genes; differentially expressed mRNAs and miRNAs patterns of high-throughput sequencing were validated in 5 mRNAs and miR-217-5p by qRT-PCR. In vivo tests and dual-luciferase reporter assay revealed that overexpression of miR-217-5p can inhibit pheomelanin formation by targeting Zgc. In this study, a comparative analysis was conducted to profile the transcriptome of black and yellow skin for B. superciliaris, and we detected key genes and important miRNAs involved in the B. superciliaris skin pigmentation process. These results will enhance understanding of molecular mechanisms underlying skin pigmentation and facilitate molecular-assisted selection of highly valued skin colors.

Indexed as

Gene Regulatory NetworksAnimalsBody PatterningFishesFish ProteinsGene Expression ProfilingHigh-Throughput Nucleotide SequencingMicroRNAsRNA, MessengerSequence Analysis, RNASkinTranscriptomeFish ProteinsMicroRNAsRNA, MessengerBlack and yellow color skinBotia superciliarismRNA and miRNA sequencing

Identifiers

PMID31111266
OpenAlexW2946343624

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.