Tesi etd-06202022-124710 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
PINZAUTI, FABIO
URN
etd-06202022-124710
Titolo
Analisi trascrittomiche di genotipi di Stevia rebaudiana (Bertoni) ad alto e basso contenuto di glicosidi steviolici e polifenoli.
Dipartimento
SCIENZE AGRARIE, ALIMENTARI E AGRO-AMBIENTALI
Corso di studi
BIOTECNOLOGIE VEGETALI E MICROBICHE
Relatori
relatore Prof. Giordani, Tommaso
Parole chiave
- composti fenolici
- phenolic compounds
- RNA-seq
- RNA-seq
- Stevia rebaudiana
- steviol glicosidi
- steviol glycosides
- transcriptomics
- trascrittomica
- UGT
- UGT Stevia rebaudiana
Data inizio appello
11/07/2022
Consultabilità
Tesi non consultabile
Riassunto
Stevia rebaudiana è un’asteracea di grande interesse commerciale, grazie alla sua capacità di sintetizzare numerose sostanze, tra cui molecole dolcificanti, note con il nome di steviol glicosidi (SG), e composti fenolici. Sebbene i pathway metabolici della biosintesi degli SG e dei composti fenolici siano stati studiati, rimangono ancora ignoti i geni coinvolti nella regolazione della biosintesi di specifici SG e composti fenolici in Stevia. Con lo scopo di identificare geni candidati coinvolti nella regolazione di questi composti, sono stati selezionati sei genotipi di Stevia, in particolare tre genotipi ad alto e tre genotipi a basso contenuto di SG e composti fenolici. Più nel dettaglio, questi genotipi sono stati comparati attraverso un unico confronto attraverso un’analisi trascrittomica mediante RNA-seq, usando i tre genotipi a basso contenuto come controllo e i tre genotipi ad alto contenuto come trattato. L’analisi ha evidenziato 2997 geni differenzialmente espressi fra i due gruppi, più nello specifico suddivisi in 1575 geni over-espressi (OE) e 1422 under-espressi (UE). Inoltre, grazie all’ausilio di diversi tool bioinformatici, sono stati identificati alcuni geni putativamente coinvolti nella regolazione della biosintesi degli SG e dei composti fenolici. I risultati ottenuti hanno permesso di ottenere diversi geni candidati per la biosintesi di metaboliti di interesse in Stevia, i quali dovranno essere validati da future analisi molecolari.
Stevia rebaudiana is an asteracea of great commercial interest due to its ability to synthesize numerous substances, including sweetening molecules, known as steviol glycosides (SG), and phenolic compounds. Although the metabolic pathways of SG and phenolic compound biosynthesis have been studied, the genes involved in regulating the biosynthesis of specific SG and phenolic compounds in Stevia remain unknown. In order to identify candidate genes involved in the regulation of these compounds, six Stevia genotypes were selected, namely three high and three low SG and phenolic compound genotypes. In more detail, these genotypes were compared through a single comparison by RNA-seq transcriptomic analysis, using the three low SG genotypes as control and the three high SG genotypes as treated. The analysis revealed 2997 differentially expressed genes between the two groups, more specifically divided into 1575 over-expressed (OE) and 1422 under-expressed (UE) genes. In addition, with the aid of various bioinformatics tools, a number of genes putatively involved in the regulation of SG biosynthesis and phenolic compounds have been identified. The results yielded several candidate genes for the biosynthesis of metabolites of interest in Stevia, which will have to be validated by future molecular analyses.
Stevia rebaudiana is an asteracea of great commercial interest due to its ability to synthesize numerous substances, including sweetening molecules, known as steviol glycosides (SG), and phenolic compounds. Although the metabolic pathways of SG and phenolic compound biosynthesis have been studied, the genes involved in regulating the biosynthesis of specific SG and phenolic compounds in Stevia remain unknown. In order to identify candidate genes involved in the regulation of these compounds, six Stevia genotypes were selected, namely three high and three low SG and phenolic compound genotypes. In more detail, these genotypes were compared through a single comparison by RNA-seq transcriptomic analysis, using the three low SG genotypes as control and the three high SG genotypes as treated. The analysis revealed 2997 differentially expressed genes between the two groups, more specifically divided into 1575 over-expressed (OE) and 1422 under-expressed (UE) genes. In addition, with the aid of various bioinformatics tools, a number of genes putatively involved in the regulation of SG biosynthesis and phenolic compounds have been identified. The results yielded several candidate genes for the biosynthesis of metabolites of interest in Stevia, which will have to be validated by future molecular analyses.
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