Reference gene selection for microRNA expression analysis in the Pacific oyster

Real-time quantitative polymerase chain reaction (qRT-PCR) is a widely used technique for microRNA (miRNA) expression analysis. The accuracy and reproducibility of this technique depends on the availability of stably expressed reference genes, which is absent in molluscs. Here, based on the microRNA...

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Main Authors: Huang, Wen, Xu, Fei, Wang, Wei, Li, Li, Que, Huayong, Zhang, Guofan
Format: Report
Language:English
Published: ARS DOCENDI 2018
Subjects:
Online Access:http://ir.qdio.ac.cn/handle/337002/155955
https://doi.org/10.26327/RBL2018.224
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spelling ftchinacasciocas:oai:ir.qdio.ac.cn:337002/155955 2023-05-15T15:57:42+02:00 Reference gene selection for microRNA expression analysis in the Pacific oyster Huang, Wen Xu, Fei Wang, Wei Li, Li Que, Huayong Zhang, Guofan 2018-09-01 http://ir.qdio.ac.cn/handle/337002/155955 https://doi.org/10.26327/RBL2018.224 英语 eng ARS DOCENDI ROMANIAN BIOTECHNOLOGICAL LETTERS http://ir.qdio.ac.cn/handle/337002/155955 doi:10.26327/RBL2018.224 Crassostrea gigas MicroRNA Real-time quantitative PCR Reference gene Biotechnology & Applied Microbiology IDENTIFICATION NORMALIZATION BIOGENESIS EVOLUTION 期刊论文 2018 ftchinacasciocas https://doi.org/10.26327/RBL2018.224 2022-06-27T05:38:52Z Real-time quantitative polymerase chain reaction (qRT-PCR) is a widely used technique for microRNA (miRNA) expression analysis. The accuracy and reproducibility of this technique depends on the availability of stably expressed reference genes, which is absent in molluscs. Here, based on the microRNA transcriptome data of the Pacific oyster, Crassostrea gigas, candidate reference genes were selected from the stably expressed microRNAs and the commonly used housekeeping genes (U1, U6, and 5.8S). The stability of expression was evaluated and the comprehensive ranking of the reference genes was obtained using two statistical algorithms, geNorm and NormFinder. Specific combinations of reference genes were recommended for the developmental larval samples (DLS) and adult organ samples (AOS), respectively; a combination of cgi-miR-71 and Ul was recommended for DLS and a combination of cgi-let-7, cgi-miR-87, and Ul for AOS, under normal physiological conditions. The effectiveness of the reference gene combinations was further validated by quantitative analysis of two selected miRNAs in the DLS and AOS, respectively. This work was the first systematic analysis of miRNA reference gene selection in molluscs. The reference genes identified in this study will be useful for the functional analysis of miRNA in Crassostrea gigas, and also for the miRNA reference gene selection in other molluscan species. Report Crassostrea gigas Pacific oyster Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR Pacific
institution Open Polar
collection Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR
op_collection_id ftchinacasciocas
language English
topic Crassostrea gigas
MicroRNA
Real-time quantitative PCR
Reference gene
Biotechnology & Applied Microbiology
IDENTIFICATION
NORMALIZATION
BIOGENESIS
EVOLUTION
spellingShingle Crassostrea gigas
MicroRNA
Real-time quantitative PCR
Reference gene
Biotechnology & Applied Microbiology
IDENTIFICATION
NORMALIZATION
BIOGENESIS
EVOLUTION
Huang, Wen
Xu, Fei
Wang, Wei
Li, Li
Que, Huayong
Zhang, Guofan
Reference gene selection for microRNA expression analysis in the Pacific oyster
topic_facet Crassostrea gigas
MicroRNA
Real-time quantitative PCR
Reference gene
Biotechnology & Applied Microbiology
IDENTIFICATION
NORMALIZATION
BIOGENESIS
EVOLUTION
description Real-time quantitative polymerase chain reaction (qRT-PCR) is a widely used technique for microRNA (miRNA) expression analysis. The accuracy and reproducibility of this technique depends on the availability of stably expressed reference genes, which is absent in molluscs. Here, based on the microRNA transcriptome data of the Pacific oyster, Crassostrea gigas, candidate reference genes were selected from the stably expressed microRNAs and the commonly used housekeeping genes (U1, U6, and 5.8S). The stability of expression was evaluated and the comprehensive ranking of the reference genes was obtained using two statistical algorithms, geNorm and NormFinder. Specific combinations of reference genes were recommended for the developmental larval samples (DLS) and adult organ samples (AOS), respectively; a combination of cgi-miR-71 and Ul was recommended for DLS and a combination of cgi-let-7, cgi-miR-87, and Ul for AOS, under normal physiological conditions. The effectiveness of the reference gene combinations was further validated by quantitative analysis of two selected miRNAs in the DLS and AOS, respectively. This work was the first systematic analysis of miRNA reference gene selection in molluscs. The reference genes identified in this study will be useful for the functional analysis of miRNA in Crassostrea gigas, and also for the miRNA reference gene selection in other molluscan species.
format Report
author Huang, Wen
Xu, Fei
Wang, Wei
Li, Li
Que, Huayong
Zhang, Guofan
author_facet Huang, Wen
Xu, Fei
Wang, Wei
Li, Li
Que, Huayong
Zhang, Guofan
author_sort Huang, Wen
title Reference gene selection for microRNA expression analysis in the Pacific oyster
title_short Reference gene selection for microRNA expression analysis in the Pacific oyster
title_full Reference gene selection for microRNA expression analysis in the Pacific oyster
title_fullStr Reference gene selection for microRNA expression analysis in the Pacific oyster
title_full_unstemmed Reference gene selection for microRNA expression analysis in the Pacific oyster
title_sort reference gene selection for microrna expression analysis in the pacific oyster
publisher ARS DOCENDI
publishDate 2018
url http://ir.qdio.ac.cn/handle/337002/155955
https://doi.org/10.26327/RBL2018.224
geographic Pacific
geographic_facet Pacific
genre Crassostrea gigas
Pacific oyster
genre_facet Crassostrea gigas
Pacific oyster
op_relation ROMANIAN BIOTECHNOLOGICAL LETTERS
http://ir.qdio.ac.cn/handle/337002/155955
doi:10.26327/RBL2018.224
op_doi https://doi.org/10.26327/RBL2018.224
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