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Priyanka Gupta

Publications and source records attributed to Priyanka Gupta.

7 recordsLinked to original sources
PubMed2026

Biochemical analysis of the TPS-b subfamily reveals a cineole-centered monoterpene biosynthetic module in Medicago truncatula.

Terpenoids constitute one of the largest and most structurally diverse classes of plant specialized metabolites, with diversity generated by terpene synthases (TPSs) and downstream tailoring enzymes. In Medicago truncatula, the TPS-b subfamily comprises five putative synthases, two of which are embedded within a previously uncharacterized genomic locus containing a cytochrome P450 (CYP) and a BAHD-type acyltransferase. Here, we present a comprehensive biochemical analysis of the M. truncatula TPS-b subfamily and define a cineole-centered monoterpene biosynthetic module. Heterologous expression and in vitro assays with multiple prenyl diphosphate substrates revealed three catalytically active TPS-b enzymes with distinct substrate preferences and product profiles. MtTPS4 functions as a dedicated (E)-β-ocimene synthase, whereas MtTPS15 exhibits substrate-dependent bifunctionality, producing (E)-β-ocimene from geranyl diphosphate and α-farnesene from farnesyl diphosphate. MtTPS36 generates 1,8-cineole as the predominant product alongside α-terpineol from geranyl and neryl diphosphate. Genome analysis revealed that MtTPS36 is colocalized with a cytochrome P450 belonging to the CYP736 family. Biochemical characterization of this CYP identified a previously undescribed plant cineole hydroxylase that catalyzes oxidation of 1,8-cineole to yield 2α-hydroxy-1,8-cineole (also known as 2-exo-hydroxy-1,8-cineole), establishing a TPS-CYP biosynthetic module. These results define the gene-to-metabolite relationships within the TPS-b subfamily in M. truncatula and expand the known enzymatic biosynthetic capacity underlying oxygenated monoterpene biosynthesis in plants.

1,8-Cineole↗
PubMed2006

BioWarehouse: a bioinformatics database warehouse toolkit.

BACKGROUND: This article addresses the problem of interoperation of heterogeneous bioinformatics databases. RESULTS: We introduce BioWarehouse, an open source toolkit for constructing bioinformatics database warehouses using the MySQL and Oracle relational database managers. BioWarehouse integrates its component databases into a common representational framework within a single database management system, thus enabling multi-database queries using the Structured Query Language (SQL) but also facilitating a variety of database integration tasks such as comparative analysis and data mining. BioWarehouse currently supports the integration of a pathway-centric set of databases including ENZYME, KEGG, and BioCyc, and in addition the UniProt, GenBank, NCBI Taxonomy, and CMR databases, and the Gene Ontology. Loader tools, written in the C and JAVA languages, parse and load these databases into a relational database schema. The loaders also apply a degree of semantic normalization to their respective source data, decreasing semantic heterogeneity. The schema supports the following bioinformatics datatypes: chemical compounds, biochemical reactions, metabolic pathways, proteins, genes, nucleic acid sequences, features on protein and nucleic-acid sequences, organisms, organism taxonomies, and controlled vocabularies. As an application example, we applied BioWarehouse to determine the fraction of biochemically characterized enzyme activities for which no sequences exist in the public sequence databases. The answer is that no sequence exists for 36% of enzyme activities for which EC numbers have been assigned. These gaps in sequence data significantly limit the accuracy of genome annotation and metabolic pathway prediction, and are a barrier for metabolic engineering. Complex queries of this type provide examples of the value of the data warehousing approach to bioinformatics research. CONCLUSION: BioWarehouse embodies significant progress on the database integration problem for bioinformatics.

Computational Biology↗
PubMed2005

Increase in NADH-glutamate dehydrogenase activity by mercury in excised bean leaf segments.

Application of Hg to excised bean leaf segments increased the glutamate dehydrogenase (NADH-GDH) activity substantially. However, specific activity of the enzyme decreased at lower concentration of Hg, and increased to lesser extent at higher concentration of Hg. Mercury supply increased the glutamate synthase (NADH-GOGAT) activity also. Mercury supply increased the NADH-GDH activity in the presence of NH4NO3, but to a lesser extent than in the absence of NH4NO3. The specific activity of the enzyme decreased considerably at lower concentration of Hg, but increased significantly at higher concentration of Hg. An increase in NADH-GOGAT activity was observed in the presence of NH4NO3, but specific activity of the enzyme decreased marginally. Increase in GDH activity due to Hg remained unaffected by the supply of sucrose, but was reduced by glutamine and glutathione and enhanced by Al. The glutamate dehydrogenase (+Hg enzyme) from mercury treated leaf segments had higher value of S0.5 for NADH than the enzyme (-Hg enzyme) from material not treated with mercury indicating that Hg binding to enzyme prevented NADH binding to the enzyme possibly at thiol groups. However, + Hg enzyme has more reactivity, as apparent Vmax value was higher for it. It has been suggested that Hg activates the NADH-GDH enzyme in the bean leaf segments by binding to thiol groups of protein and pronounced increase in activity by Hg suggests a possible role of enzyme under Hg-stress.

Aluminum↗