JSMARTech : Journal of Smart Bioprospecting and Technology
Vol. 4 No. 2 (2023): JSMARTech Volume 4, No. 2, 2023

Phylogenetic Analysis of UreABC Protein in Ureolytic Bacteria as Self-Healing Agent in Concrete

Amalia Danti Safa Audia (Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya)
Else Vilia Setiawan (Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya)
Giral Baines Mora (Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya)
Grace Christy (Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya)
Nabila Shafa Yumna Salsabila (Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya)
Firda Nuri Asyhari (Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya)
Turhadi Turhadi (Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya)
Fatchiyah Fatchiyah (Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya)



Article Info

Publish Date
31 Oct 2023

Abstract

Concrete is one of Indonesia's most widely used materials in infrastructure development because it is strong enough to withstand pressure, adaptable, and has relatively low maintenance costs. Bacteria are potential agents that can be used to close cracks in concrete. Therefore, this research is aimed to determine which bacteria can produce the enzyme urease based on constructing a phylogenetic tree, the ability to produce spores, and the characteristics of ureolytic bacteria. This study used four sequences of ureolytic bacteria that code for ureABC, namely Bacillus, Clostridium, Pseudomonas, and Enterobacter, with Micrococcus terreus as the outgroup. The four bacterial groups with outgroups were aligned and phylogeny constructed using the Neighbor-Joining (NJ) method with 1000 replication and grouped based on genetic distance in MEGA-X software. Then further screening was carried out based on the ability to form endospores and the characteristics of ureolytic bacteria. Phylogenetic analysis shows that the bacterial groups Bacillus, Enterobacter, Clostridium and Pseudomonas have a fairly close kinship, the construction is based on proteins, genus, cell shape, gram characteristics, and habitat. The ureolytic bacteria group predicted to have the highest potential as a biomaterial agent comes from Bacillus sp. and Clostridium sp. due to its ability to form endospores. Ureolytic activity is indicated by an increased pH value and urea degradation activity due to ammonification with Bacillus sp. having a pH of 6.0-8.0. In contrast, the pH value of Clostridium sp. is unknown because further research is needed in vitro.

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Journal Info

Abbrev

jsmartech

Publisher

Subject

Biochemistry, Genetics & Molecular Biology Chemistry Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience

Description

JSMARTech : Journal of Smart Bioprospecting and Technology (p-ISSN: 2686-0805, e-ISSN : 2714-7894) is an Open Access Scientific Journal published by Research Center of Smart Molecule and Natural Genetics Resources (SMONAGENES), Universitas Brawijaya, Malang, East Java, Indonesia, since 2019. It is a ...