ArticlePloS one2018
Identification and validation of reference genes for qRT-PCR analysis in mulberry (Morus alba L.).
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Genetic and functional characterization of loss of growth superiority of 22-ploid Morus nigra L. (2n = 22x = 308).Molecular biology reports · 2026Article
- Transcriptomic profiling and discovery of key transcription factors involved in adventitious roots formation from root cuttings of mulberry.BMC genomics · 2024Article
- Bioactive Compounds from Endophytic BacteriaMetabolites · 2022Article
- Identification of reliable reference genes for quantitative real-time PCR analysis of the Rhus chinensis Mill. leaf response to temperature changes.FEBS open bio · 2021Article
- An optimized protocol for stepwise optimization of real-time RT-PCR analysis.Horticulture research · 2021Article
- Validation of reference genes for quantitative gene expression in the Lippia alba polyploid complex (Verbenaceae).Molecular biology reports · 2021Article
- Selection of Suitable Reference Genes for RT-qPCR Gene Expression Analysis in Siberian Wild Rye (Genes · 2019Article
- Selection of suitable reference genes for quantitative real-time PCR gene expression analysis in Mulberry (Morus alba L.) under different abiotic stresses.Molecular biology reports · 2019Article
- Selection of reliable reference genes for quantitative RT-PCR in garlic under salt stress.PeerJ · 2019Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mulberry (Morus alba L.) is an important economic tree species in many countries. Quantitative real time PCR (qRT-PCR) has become a widely used method for gene expression studies in plants. A suitable reference gene is essential to ensure accurate and reliable results for qRT-PCR analyses. However, no reports describing the selection of reference genes have been published for mulberry. In this work, we evaluated the stability of twenty candidate reference genes in different plant tissues and under different stress conditions by qRT-PCR in mulberry using algorithms in two programs-geNorm and NormFinder. The results revealed that TUB2, UBI4, ACTIN3 and RPL4 were ranked as the most stable reference genes in the samples subsets, whereas EF1α4 and TUB3showed the least stability with both algorithms. To further validate the stability of the reference genes, the expression patterns of six genes of mulberry were analyzed by normalization with the selected reference genes. Our study will benefit future analyses of gene expression in mulberry.
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