ArticleBMC genomics2017
Identification and profiling of growth-related microRNAs in Chinese perch (Siniperca chuatsi).
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 10 citations in OpenAlex.
- Uniqueness of Heilongjiang Mandarin Fish (Veterinary sciences · 2026Article
- Dynamics of Small Non-coding RNA Profiles and the Intestinal Microbiome of High and Low Weight Chickens.Frontiers in microbiology · 2022Article
- Molecular Mechanisms Regulating Muscle Plasticity in Fish.Animals : an open access journal from MDPI · 2020Review
- [miR-593 inhibits proliferation of colon cancer cellsNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2019Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroRNAs (miRNAs) are endogenous small non-coding RNAs that play important roles in the regulation of diverse biological processes in eukaryotes. Chinese perch (Siniperca chuatsi) is one of the most economically important fish species widely cultured in China. Growth is an extremely important characteristic in fish. Individual differences in body size are common in Siniperca chuatsi, which significantly influence the aquaculture production of Siniperca chuatsi. However, the underline growth-related regulatory factors, such as miRNAs, are still unknown.
resultsTo investigate the growth-related miRNAs in Siniperca chuatsi, two RNA libraries from four growth-related tissues (brain, pituitary, liver, and muscle) of Siniperca chuatsi at 6-month stage with relatively high or low growth rates (big-size group or small-size group) were obtained and sequenced using Solexa sequencing. A total of 252 known miRNAs and 12 novel miRNAs were identified. The expression patterns of these miRNAs in big-size group and small-size group were compared, and the results showed that 31 known and 5 novel miRNAs were differently expressed (DE). Furthermore, to verify the Solexa sequencing, five DE miRNAs were randomly selected and quantified by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The results showed that their expression patterns were consistent with those of Solexa sequencing. In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of target genes of DE miRNAs was performed. It showed that the target genes were involved in multiple biological processes including metabolic process, suggesting that metabolic process played an important role in growth of fish.
conclusionsSiniperca chuatsi is a popular and economically important species in aquaculture. In this study, miRNAs in Siniperca chuatsi with different growth rates were identified, and their expression profiles were compared. The data provides the first large-scale miRNA profiles related to growth of Siniperca chuatsi, which is expected to contribute to a better understanding of the role of miRNAs in regulating the biological processes of growth and possibly useful for Siniperca chuatsi breeding.
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