ArticlePloS one2021
Selection and validation of reference genes for quantitative real-time PCR in the green microalgae Tetraselmis chui.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 13 citations in OpenAlex.
- Optimal Reference Genes for Gene Expression Analysis of Overmating Stress-Induced Aging and Natural Aging in MaleInternational journal of molecular sciences · 2025Article
- Global omics study of Tetraselmis chuii reveals time-related metabolic adaptations upon oxidative stress.Applied microbiology and biotechnology · 2024Article
- Identifying the stability of housekeeping genes to be used for the quantitative real-time PCR normalization in retinal tissue of streptozotocin-induced diabetic rats.International journal of ophthalmology · 2024Article
- Screening and validating of endogenous reference genes in Chlorella sp. TLD 6B under abiotic stress.Scientific reports · 2023Article
- Selection of suitable candidate genes for mRNA expression normalization in bulbil development of Pinellia ternata.Scientific reports · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
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Abstract
Quantitative real-time reverse transcription PCR (RT-qPCR) is a highly sensitive technique that can be applied to analyze how genes are modulated by culture conditions, but identification of appropriate reference genes for normalization is a critical factor to be considered. For this reason, the expression stability of 18 candidate reference genes was evaluated for the green microalgae Tetraselmis chui using the widely employed algorithms geNorm, NormFinder, BestKeeper, the comparative ΔCT method, and RefFinder. Microalgae samples were collected from large scale outdoor photobioreactors during the growing phase (OUT_GP), and during the semi-continuous phase at different times of the day (OUT_DC). Samples from standard indoor cultures under highly controlled conditions (IND) were also collected to complement the other data. Different rankings for the candidate reference genes were obtained depending on the culture conditions and the algorithm employed. After comparison of the achieved ranks with the different methods, the references genes selected for samples from specific culture conditions were ALD and EFL in OUT_GP, RPL32 and UBCE in OUT_DC, and cdkA and UBCE in IND. Moreover, the genes EFL and cdkA or EFL and UBCE appeared as appropriate combinations for pools generated from all samples (ALL). Examination in the OUT_DC cultures of genes encoding the large and small subunits of ADP-glucose pyrophosphorylase (AGPL and AGPS, respectively) confirmed the reliability of the identified reference genes, RPL32 and UBCE. The present study represents a useful contribution for studies of gene expression in T. chui, and also represents the first step to set-up an RT-qPCR platform for quality control of T. chui biomass production in industrial facilities.
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