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SCHWARZEROVÁ, J.
Originální název
Metabolite Genome-wide Association Studies of Arabidopsis Thaliana
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Current research based on the edge of bioinformatics and ecology engineering has huge potential due to combination of laboratory analyses and advanced bioinformatics algorithms. The paper deals with a combination of GC-MS and LC-MS based metabolomic analysis for identification and quantitation of metabolites in environmental perturbations with advanced bioinformatics approach of metabolite genome-wide association studies (mGWAS). This complex view is applied to Arabidopsis thaliana. The main goal is to obtain genetic predictions focused on A. thaliana under different environmental conditions. Currently, important ecological issues such as climate change, pollution etc. have impact on the change of environment. It has a great effect on plants which serves as producers of oxygen or food. While simple observation reveals only a phenotype change, changes in genotypes of organisms can be captured using mGWAS and further utilized in industrial ecology and biotechnology.
Klíčová slova
Metabolomics, Systems biology, Ecology, Single nucleotide polymorphism, Genetic prediction
Autoři
Vydáno
27. 4. 2021
Nakladatel
Brno University of Technology, Faculty of Electrical Engineering and Communication
Místo
Brno
ISBN
978-80-214-5943-4
Kniha
Proceedings of the 27th Conference STUDENT EEICT 2021 selected papers
Edice
1
Strany od
41
Strany do
44
Strany počet
4
URL
https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf
BibTex
@inproceedings{BUT172026, author="Jana {Schwarzerová}", title="Metabolite Genome-wide Association Studies of Arabidopsis Thaliana", booktitle="Proceedings of the 27th Conference STUDENT EEICT 2021 selected papers", year="2021", series="1", pages="41--44", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno", doi="10.13164/eeict.2021.41", isbn="978-80-214-5943-4", url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf" }