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Identification of candidate reference genes for qRT-PCR normalization studies of salinity stress and injury in Onchidium reevesii

Real-time quantitative reverse transcription-PCR (qRT-PCR) is an undeniably effective tool for measuring levels of gene expression, but the accuracy and reliability of the statistical data obtained depend mainly on the basal expression of selected housekeeping genes in many samples. To date, there h...

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Detalles Bibliográficos
Autores principales: Yang, Teizhu, Gu, Bingning, Xu, Guolyu, Shi, Yanmei, Shen, Heding, Rao, Rongcheng, Mzuka, Hellen Lucas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487802/
https://www.ncbi.nlm.nih.gov/pubmed/31086748
http://dx.doi.org/10.7717/peerj.6834
Descripción
Sumario:Real-time quantitative reverse transcription-PCR (qRT-PCR) is an undeniably effective tool for measuring levels of gene expression, but the accuracy and reliability of the statistical data obtained depend mainly on the basal expression of selected housekeeping genes in many samples. To date, there have been few analyses of stable housekeeping genes in Onchidium reevesii under salinity stress and injury. In this study, the gene expression stabilities of seven commonly used housekeeping genes, CYC, RPL28S, ACTB, TUBB, EF1a, Ubiq and 18S RNA, were investigated using BestKeeper, geNorm, NormFinder and RefFinfer. Although the results of the four programs varied to some extent, in general, RPL28S, TUBB, ACTB and EF1a were ranked highly. ACTB and TUBB were found to be the most stable housekeeping genes under salinity stress, and EF1a plus TUBB was the most stable combination under injury stress. When analysing target gene expression in different tissues, RPL28S or EF1a should be selected as the reference gene according to the level of target gene expression. Under extreme environmental stress (salinity) conditions, ACTB (0 ppt, 5 ppt, 15 ppt, 25 ppt) and TUBB (35 ppt) are reasonable reference gene choices when expression stability and abundance are considered. Under conditions of 15 ppt salinity and injury stress, our results showed that the best two-gene combination was TUBB plus EF1a. Therefore, we suggest that RPL28S, ACTB and TUBB are suitable reference genes for evaluating mRNA transcript levels. Based on candidate gene expression analysis, the tolerance of O. reevesii to low salinity (low osmotic pressure) is reduced compared to its tolerance to high salinity (high osmotic pressure). These findings will help researchers obtain accurate results in future quantitative gene expression analyses of O. reevesii under other stress conditions.