2022
DOI: 10.3389/fpls.2022.1007913
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Comparative transcriptomic analysis of normal and abnormal in vitro flowers in Cymbidium nanulum Y. S. Wu et S. C. Chen identifies differentially expressed genes and candidate genes involved in flower formation

Abstract: It is beneficial for breeding and boosting the flower value of ornamental plants such as orchids, which can take several years of growth before blooming. Over the past few years, in vitro flowering of Cymbidium nanulum Y. S. Wu et S. C. Chen has been successfully induced; nevertheless, the production of many abnormal flowers has considerably limited the efficiency of this technique. We carried out transcriptomic analysis between normal and abnormal in vitro flowers, each with four organs, to investigate key ge… Show more

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Cited by 2 publications
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“…In ornamental plants, core regulatory networks that regulate the flower development of Chrysanthemum morifolium are explored and hub genes are discovered, providing information on the mechanism that determines flower shape (Ding et al, 2020). In addition, comparative transcriptive analysis in Cymbidium nanulum has found differentially expressed genes and candidate genes involved in flower development (Fu et al, 2022). In trees, there is also a study that performs transcriptomic analysis to find candidate genes for the double flower phenotype of Prunus mume (Zhu et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…In ornamental plants, core regulatory networks that regulate the flower development of Chrysanthemum morifolium are explored and hub genes are discovered, providing information on the mechanism that determines flower shape (Ding et al, 2020). In addition, comparative transcriptive analysis in Cymbidium nanulum has found differentially expressed genes and candidate genes involved in flower development (Fu et al, 2022). In trees, there is also a study that performs transcriptomic analysis to find candidate genes for the double flower phenotype of Prunus mume (Zhu et al, 2022).…”
Section: Discussionmentioning
confidence: 99%