ANALISIS EKSPRESI ENZIM TERKAIT DEGRADASI PATI PADA DATA METATRANSKRIPTOMIK MIKROORGANISME DI BUAH PISANG CAVENDISH (MUSA ACUMINATA, AAA)
The degradation of starch is a metabolic process during fruit ripening that significantly affects the quality of banana (Musa acuminata) due to its impact on the texture and taste of the fruit. Research on starch degradation in bananas has been conducted extensively, yet no studies have approache...
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Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/79593 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The degradation of starch is a metabolic process during fruit ripening that significantly
affects the quality of banana (Musa acuminata) due to its impact on the texture and
taste of the fruit. Research on starch degradation in bananas has been conducted
extensively, yet no studies have approached it using a metatranscriptomic approach.
Through this method, we can identify active microorganisms and enzyme expression
related to starch degradation in the banana fruit microbiome. This aids in understanding
the fruit ripening process, especially starch degradation. The objective of this study is
to identify microorganisms involved in starch degradation and observe enzyme
expression related to starch degradation in the banana fruit microbiome, utilizing a
metatranscriptomic approach. The data was collected from two different treatment
groups: chitosan-coated and uncoated banana samples, observed at two time points—
day 1 and day 7 after treatment, resulting in four types of samples. SAMSA2 workflow
was employed to process the metatranscriptomic data, comprising three main stages:
preprocessing, annotation, and differential analysis. Preprocessing involved data
filtering, eliminating low-quality reads, adapters, and rRNA sequences, resulting in
mRNA sequences. Subsequently, in the annotation stage, mRNA sequences were
annotated against the RefSeq NCBI and SEEDS Subsystem databases. The annotated
results were analyzed using DESeq2 tools. The analysis revealed that the dominant
microorganisms were from the phyla Proteobacteria (52-56%), Actinobacteria (19-
20%), and Firmicutes (12-14%). These phyla were also dominant in other climacteric
plants such as apples and watermelons. Expression analysis and microorganisms
producing starch degradation-related enzymes showed upregulated ?-amylase enzyme
expression, primarily by the active microorganism Rheinheimera nanhaiensis.
Conversely, ?-glucosidase and 4-?-glucanotransferase enzyme expressions were
downregulated, with varying active microorganisms expressing these enzymes
between day one and day seven of the ripening phase. Overall, the research concluded
that there were no significant differences in the abundance of active microorganisms between day one and day seven after treatment or between control and treatment
groups. However, changes occurred in the expression of enzymes related to starch
degradation in the banana fruit microbiome throughout the ripening process. |
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