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dc.creatorEshaghi, Mahsa
dc.creatorShiran, Behrouz
dc.creatorFallahi, Hossein
dc.creatorRavash, Rudabeh
dc.creatorBanović Đeri, Bojana
dc.date.accessioned2022-11-15T15:04:34Z
dc.date.available2022-11-15T15:04:34Z
dc.date.issued2019
dc.identifier.issn0888-7543
dc.identifier.urihttps://imagine.imgge.bg.ac.rs/handle/123456789/1218
dc.description.abstractCrown imperial (CI) has been used in traditional medicine. Today it is known that such beneficial effects are due to its richness in steroidal alkaloids (SA). Using de novo transcriptomics, orthologues/paralogues finder, phylogenetic analysis and tissue- and developmental stage-specific expression analysis, we identified ten genes and several TFs involved in the biosynthesis of SA in CI. The comparative analysis of ten genes expression profiles revealed the possibility of their co-regulation, which may imply the possibility of their organization in metabolic gene clusters. Having in mind convergent evolution of steroidal biosynthetic pathways in flowering plants and records of convergent evolution of specific proteins, observed expression patterns open a reasonable interest to investigate the possibility of the existence of genes cluster organization in SA pathway in the family Liliaceae or at least in some species of genus Fritillaria. Obtained results support transcriptomics as useful approach in elucidating genes underlying complex biochemical pathways.en
dc.publisherAcademic Press Inc Elsevier Science, San Diego
dc.relationShahrekord University
dc.relationBiotechnology Research Institute at the University of Shahrekord
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceGenomics
dc.subjectSteroidal alkaloidsen
dc.subjectFritillaria imperialisen
dc.subjectExpression profilesen
dc.subjectde novo transcriptomicsen
dc.titleIdentification of genes involved in steroid alkaloid biosynthesis in Fritillaria imperialis via de novo transcriptomicsen
dc.typearticle
dc.rights.licenseBY
dc.citation.epage1372
dc.citation.issue6
dc.citation.other111(6): 1360-1372
dc.citation.rankM21
dc.citation.spage1360
dc.citation.volume111
dc.identifier.doi10.1016/j.ygeno.2018.09.008
dc.identifier.fulltexthttps://imagine.imgge.bg.ac.rs/bitstream/id/63/1215.pdf
dc.identifier.pmid30248489
dc.identifier.scopus2-s2.0-85053928856
dc.identifier.wos000495876600022
dc.type.versionpublishedVersion


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