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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/45161
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | KULDEEPSINGH KALARIYA | en_US |
dc.contributor.author | RAM PRASNNA MEENA | en_US |
dc.contributor.author | LIPI POOJARA | en_US |
dc.contributor.author | DEEPA SHAHI | en_US |
dc.contributor.author | Sandip Patel | en_US |
dc.date.accessioned | 2021-01-30T11:25:36Z | - |
dc.date.available | 2021-01-30T11:25:36Z | - |
dc.date.issued | 2021-01-16 | - |
dc.identifier.citation | Kalariya, K.A., Meena, R.P., Poojara, L. et al. Characterization of squalene synthase gene from Gymnema sylvestre R. Br.. Beni-Suef Univ J Basic Appl Sci 10, 6 (2021). https://doi.org/10.1186/s43088-020-00094-4 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/45161 | - |
dc.description.abstract | Background: Squalene synthase (SQS) is a rate-limiting enzyme necessary to produce pentacyclic triterpenes in plants. It is an important enzyme producing squalene molecules required to run steroidal and triterpenoid biosynthesis pathways working in competitive inhibition mode. Reports are available on information pertaining to SQS gene in several plants, but detailed information on SQS gene in Gymnema sylvestre R. Br. is not available. G. sylvestre is a priceless rare vine of central eco-region known for its medicinally important triterpenoids. Our work aims to characterize the GS-SQS gene in this high-value medicinal plant. Results: Coding DNA sequences (CDS) with 1245 bp length representing GS-SQS gene predicted from transcriptome data in G. sylvestre was used for further characterization. The SWISS protein structure modeled for the GS-SQS amino acid sequence data had MolProbity Score of 1.44 and the Clash Score 3.86. The quality estimates and statistical score of Ramachandran plots analysis indicated that the homology model was reliable. For full-length amplification of the gene, primers designed from flanking regions of CDS encoding GS-SQS were used to get amplification against genomic DNA as template which resulted in approximately 6.2-kb sized single-band product. The sequencing of this product through NGS was carried out generating 2.32 Gb data and 3347 number of scaffolds with N50 value of 457 bp. These scaffolds were compared to identify similarity with other SQS genes as well as the GS-SQSs of the transcriptome. Scaffold_3347 representing the GS-SQS gene harbored two introns of 101 and 164 bp size. Both these intronic regions were validated by primers designed from adjoining outside regions of the introns on the scaffold representing GS-SQS gene. The amplification took place when the template was genomic DNA and failed when the template was cDNA confirmed the presence of two introns in GS-SQS gene in Gymnema sylvestre R. Br. Conclusion: This study shows GS-SQS gene was very closely related to Coffea arabica and Gardenia jasminoides and this gene harbored two introns of 101 and 164 bp size. | en_US |
dc.language.iso | English | en_US |
dc.publisher | SPRINGER OPEN | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Gymnema sylvestre | en_US |
dc.subject | Intron | en_US |
dc.subject | Long-range PCR | en_US |
dc.subject | Next-generation sequencing | en_US |
dc.subject | Squalene synthase | en_US |
dc.title | Characterization of squalene synthase gene from Gymnema sylvestre R. Br. | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.journalname | Beni-Suef University Journal of Basic and Applied Sciences | en_US |
dc.publication.volumeno | 10 | en_US |
dc.publication.pagenumber | 1-11 | en_US |
dc.publication.sourceUrl | https://doi.org/10.1186/s43088-020-00094-4 | en_US |
dc.publication.authorAffiliation | ICAR::Directorate of Medicinal and Aromatic Plants Research | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
Appears in Collections: | HS-DMAPR-Publication |
Files in This Item:
File | Description | Size | Format | |
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BENI SUEF 2021.pdf | 3.64 MB | Adobe PDF | View/Open |
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