Selection of Reference Genes in Siraitia siamensis and Expression Patterns of Genes Involved in Mogrosides Biosynthesis

<i>Siraitia siamensis</i> is a traditional Chinese medicinal herb. In this study, using <i>S. siamensis</i> cultivated in vitro, twelve candidate reference genes under various treatments were analyzed for their expression stability by using algorithms such as GeNorm, NormFinder, BestKeeper, Delta CT, and RefFinder. The selected reference genes were then used to characterize the gene expression of <i>cucurbitadienol synthase</i>, which is a rate-limiting enzyme for mogroside biosynthesis. The results showed that <i>CDC6</i> and <i>NCBP2</i> expression was the most stable across all treatments and are the best reference genes under the tested conditions. Utilizing the validated reference genes, we analyzed the expression profiles of genes related to the synthesis pathway of mogroside in <i>S. siamensis</i> in response to a range of abiotic stresses. The findings of this study provide clear standards for gene expression normalization in Siraitia plants and exploring the rationale behind differential gene expression related to mogroside synthesis pathways.

Authors

Institutions

Publication Details

Journal
Plants
Published
2024-09-02
DOI
https://doi.org/10.3390/plants13172449
Citations
2
Primary Topic
Biochemical Analysis and Sensing Techniques
Type
article
Field-Weighted Citation Impact
0.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Selection of Reference Genes in Siraitia siamensis and Expression Patterns of Genes Involved in Mogrosides Biosynthesis

Deyou Qiu, Zuliang Luo, Qi Tang, Iain W. Wilson et al.
2 citations
Plants
Biochemical Analysis and Sensing Techniques
0.62
article

Selection of Reference Genes in Siraitia siamensis and Expression Patterns of Genes Involved in Mogrosides Biosynthesis

Deyou Qiu, Zuliang Luo, Qi Tang, Iain W. Wilson, Huaxue Huang, Xiaodong Lin, Yan Wang, Huan Zhao, Dai Liu, Wenqiang Chen, Changming Mo, Detian Mu
article en
2 citations

Abstract

<i>Siraitia siamensis</i> is a traditional Chinese medicinal herb. In this study, using <i>S. siamensis</i> cultivated in vitro, twelve candidate reference genes under various treatments were analyzed for their expression stability by using algorithms such as GeNorm, NormFinder, BestKeeper, Delta CT, and RefFinder. The selected reference genes were then used to characterize the gene expression of <i>cucurbitadienol synthase</i>, which is a rate-limiting enzyme for mogroside biosynthesis. The results showed that <i>CDC6</i> and <i>NCBP2</i> expression was the most stable across all treatments and are the best reference genes under the tested conditions. Utilizing the validated reference genes, we analyzed the expression profiles of genes related to the synthesis pathway of mogroside in <i>S. siamensis</i> in response to a range of abiotic stresses. The findings of this study provide clear standards for gene expression normalization in Siraitia plants and exploring the rationale behind differential gene expression related to mogroside synthesis pathways.

PlantsVol. 13(17)
Commonwealth Scientific and Industrial Research Organisation (AU), Capital Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Guangxi Academy of Agricultural Science (CN), Chinese Academy of Forestry (CN), Research Institute of Forestry (CN), Agriculture and Food (AU), Hunan Agricultural University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 33%
Biochemical Analysis and Sensing Techniques
0.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.