Conversion of Metabolomic Data to Genomic Marker for Genetic Characterization of Piper betle L. Chemotypes: A Review

2021 ◽  
Author(s):  
Bidisha Mondal

The Indian perfumery industry is shifting towards natural product. In India including West Bengal betel leaves produces high quality essential oil as well contribute to Indian fresh vegetable export. The crop is cultivated from stem cutting and suffers from authenticity problem of cultivars with redundant names. The genetic screening and characterization of cultivars were not initiated due to unavailability of reliable markers. The essential oil metabolomic study identified some polar and non-polar volatile signature compounds. Metabolomic profiling of cultivars is not consistent due to seasonal variation in the production of secondary metabolites and ignorance in marking of unique trace discriminatory compounds. In this paper gene ontogeny study was made on major signature compounds to obtain the complete coding sequence (CDS) of the aroma-genes. The CDS information of aroma-genes could be utilized to construct robust DNA markers to eradicate authentication problem and germplasm management of Piper. The direct genomic analysis could supersede the metabolome profiling. Information available in NCBI, DDBJ and EMBL database were searched for gene ontogeny study utilizing available metabolomic data. The information and method depicted could be efficiently utilized for Piper genomics. Aroma-scientists could apply this technique to validate promising cultivars and competent germplasm management.

1997 ◽  
Vol 13 (2) ◽  
pp. 131-136 ◽  
Author(s):  
Lê Thanh ◽  
Nguyên Xuân Dung ◽  
Ange Bighelliand ◽  
Joseph Casanova ◽  
Piet A. Leclercq

The essential oil from the rhizomes ofPiper betleL. (betel), collected around Hue, was obtained in 0.20% yield. The oil was examined by a combination of capillary GC and GC/MS.13C-NMR studies confirmed the structure assignments proposed by retention data and mass spectra of the components with a content higher than 1%. In some instances the structure elucidation based on GC and GC/MS data had to be corrected. More than forty constituents were found of which the major ones were α-cadinol (26.2%), δ-cadinene (11.7%), and about equal amounts of T-cadinol and T-muurolol (unseparated, together 20.7%). This study clearly illustrates the advantage of complementary identification techniques.


2018 ◽  
Author(s):  
Gregory L. Medlock ◽  
Maureen A. Carey ◽  
Dennis G. McDuffie ◽  
Michael B. Mundy ◽  
Natasa Giallourou ◽  
...  

AbstractMetabolic interactions among species are ubiquitous in nature, and the fitness costs and benefits they impose often reinforce and stabilize them over time. These interactions are of particular importance in the human gut, where they have functions ranging from enhancing digestion to preventing (or exacerbating) infections. The diversity and sheer number of species present lead to the potential for a multitude of metabolic interactions among species to occur. However, identifying the mechanism and consequences of metabolic interactions between even two species is incredibly challenging. Here, we develop, apply, and experimentally test a framework for identifying potential metabolic mechanisms associated with interspecies interactions. We perform pairwise growth and metabolome profiling of co-cultures of strains from the altered Schaedler flora (ASF), a defined murine microbiota. We then apply our novel framework, which we call the Constant Yield Expectation (ConYE) model, to dissect emergent metabolic behaviors that occur in co-culture. Using the ConYE model, we identify and interrogate an amino acid cross-feeding interaction that is likely to confer a growth benefit to one ASF strain (Clostridium sp. ASF356) in co-culture with another strain (Parabacteroides goldsteinii ASF519). We experimentally validate that the proposed interaction leads to a growth benefit for this strain via media supplementation experiments. Our results reveal the type and extent of emergent metabolic behavior in microbial communities and demonstrate how metabolomic data can be used to identify potential metabolic interactions between organisms such as gut microbes. Ourin vitrocharacterization of the ASF strains and interactions between them also enhances our ability to interpret and design experiments that utilize ASF-colonized animals. We anticipate that this work will improve the tractability of studies utilizing mice colonized with the ASF. Here, we focus on growth-modulating interactions, but the framework we develop can be applied to generate specific hypotheses about mechanisms of interspecies interaction involved in any phenotype of interest within a microbial community.


Author(s):  
Teo Chai Ting ◽  
Nor Fadiana Amat Rahim ◽  
Nurul Akmar Che Zaudin ◽  
Nor Hakimin Abdullah ◽  
Mardawani Mohamad ◽  
...  

Author(s):  
Aline Krindges ◽  
Vanusca Dalosto Jahno ◽  
Fernando Morisso

Incorporation studies of particles in different substrates with herbal assets growing. The objective of this work was the preparation and characterization of micro/nanoparticles containing cymbopogon nardus essential oil; and the incorporation of them on bacterial cellulose. For the development of the membranes was used the static culture medium and for the preparation of micro/nanoparticles was used the nanoprecipitation methodology. The incorporation of micro/nanoparticles was performed on samples of bacterial cellulose in wet and dry form. For the characterization of micro/nanoparticles were carried out analysis of SEM, zeta potential and particle size. For the verification of the incorporation of particulate matter in cellulose, analyses were conducted of SEM and FTIR. The results showed that it is possible the production and incorporation of micro/nanoparticles containing essential oil in bacterial cellulose membranes in wet form with ethanol.


2016 ◽  
Vol 72 (8) ◽  
Author(s):  
Kiarash Afshar Pour Rezaeieh ◽  
Bunyamin Yildirim ◽  
Ahmet Metin Kumlay

2021 ◽  
Vol 117 ◽  
pp. 106733
Author(s):  
Laleh Almasi ◽  
Mohsen Radi ◽  
Sedigheh Amiri ◽  
David Julian McClements

2021 ◽  
Vol 114 ◽  
pp. 106570
Author(s):  
Xinhui Zhang ◽  
Donghong Liu ◽  
Tony Z. Jin ◽  
Weijun Chen ◽  
Qiao He ◽  
...  

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