Issue |
E3S Web Conf.
Volume 147, 2020
The 3rd International Symposium on Marine and Fisheries Research (3rd ISMFR)
|
|
---|---|---|
Article Number | 03030 | |
Number of page(s) | 8 | |
Section | Fish Processing Technology | |
DOI | https://doi.org/10.1051/e3sconf/202014703030 | |
Published online | 10 February 2020 |
Isolation and Molecular Identification of Chitinolytic Bacteria from Ronto
Department of Fisheries, Faculty of Agriculture, Universitas Gadjah Mada, Jl. Flora, Bulaksumur, Yogyakarta, Indonesia
* Corresponding author: ustadi@ugm.ac.id
Ronto is a traditional food from South Kalimantan made of processed rebon shrimp. The production of Ronto relies on the fermentation process done by various types of microorganisms, especially bacteria. With shrimp as the main ingredient, Ronto has a high salt concentration and low pH level. Therefore, there is a potential in the exploration of chitinolytic bacteria with specific characteristics in Ronto. This study aimed to isolate and identify chitinolytic bacteria in Ronto. Ronto that was used in this experiment had a pH of 5. The isolation of chitinolytic bacteria using chitin agar obtained 10 isolates, namely RNT1, RNT2, RNT4, RNT5, RNT6, RNT7, RNT8, RNT9, RNT10, and RNT11. The chitinolytic index of these isolates ranged from 1.1 to 2.8. The highest chitinolytic index was shown by isolate RNT8. Molecular identification using a partial 16s rRNA gene shows that all isolates were similar to Bacillus sp.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.