Abdul Wahab, Roswanira
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Identification and characterization of a 2,2-dichloropropionic acid (2,2-DCP) degrading alkalotorelant bacterium strain BHS1 isolated from Blue Lake, Turkey Abdul Wahhab, Batool Hazim; Khairul Anuar, Nurul Fatin Syamimi; Abdul Wahab, Roswanira; Al Nimer, Marwan S.M.; Samsulrizal, Nurul HIdayah; Abdul Hamid, Azzmer Azzar; Edbeib, Mohamed Faraj; Kaya, Yilmaz; Huyop, Fahrul
Journal of Tropical Life Science Vol 10, No 3 (2020)
Publisher : Journal of Tropical Life Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jtls.10.03.08

Abstract

An acid, 2,2-dichloropropionic acid (2,2-DCP) is an active ingredient in herbicide (Dalapon®). Using 2,2-DCP as a model substrate, an alkalotolerant bacterium was successfully isolated from the Blue Lake, Turkey. This bacterium is a potential bioremediation agent of recalcitrant xenobiotic halogenated compounds. This study aimed to prove the efficacy of the alkalotolerance Bacillus megaterium BHS1 in degrading 2,2-DCP as the sole source of carbon. Biolog GEN III system and 16S rRNA analysis were used for the identification of the bacterium. It was discovered that the strain BHS1 is Bacillus megaterium, and the bacterium that was observed to thrive in alkaline conditions (pH 7.0−14.0), supplemented with varying concentrations of 2,2-DCP (from 20 to 60 mM). Growth of strain BHS1 was exceptional in 40 mM of 2,2-DCP at pH 9, corresponding to a cell doubling time of 17.7 hour, whereas was fully inhibited at 50 mM 2,2-DCP. Since halogenated pollutants can make their way into highly alkaline environments, therefore, identifying threshold levels of strain BHS1 with respect to alkaline-tolerance and maximum level of 2,2-DCP may prove pertinent. This is to ensure that an optimal environment is created for the bacteria to degrade 2,2-DCP-contaminated water. In addition, this is the first study exploring a Bacillus species isolated from an alkaline environment adept in utilizing 2,2-DCP as a sole source of carbon. Hence, the ability of this strain to degrade other types of haloalkanoic acids constitutes a worthy future study.
Structural Comparison of α-agarase (α-AgaD) from Thalassomonas sp. LD5: An in-silico study: Structural Comparison of α-agarase (α-AgaD) from Thalassomonas sp. LD5 Oyewusi, Habeebat Adekilekun; Oladipo, Oluwatosin; Abdul Wahab, Roswanira; Adekilekun , Habeebulahi Ajibola; Wayan Gunam, Ida Bagus; Huyop, Fahrul
Journal of Tropical Life Science Vol. 15 No. 2 (2025): In Press
Publisher : Journal of Tropical Life Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/

Abstract

The significance of agarase enzymes spans various high-value industries, including food, cosmetics, and medicine. These enzymes play a crucial role in the hydrolysis of agar to produce bioactive oligosaccharides, enabling wide-ranging applications across multiple fields. Among them, α-AgaD is a novel α-agarase enzyme produced by the Thalassomonas sp. LD5 strain. However, the structural and functional characteristics of α-AgaD within biological systems remain largely unexplored. This study therefore aims to provide a comprehensive in silico analysis of α-AgaD, focusing on its physicochemical properties, phylogenetic relationships, secondary structure composition, and 3D homology modelling. A range of computational tools was employed to validate the findings and enhance the structural understanding of this newly identified α-AgaD enzyme. The α-AgaD protein consists of 1,466 amino acids with a molecular weight of 158,787.82 Da. It has a theoretical isoelectric point (pI) of 4.14, indicating an overall acidic nature. Structural analysis revealed that alpha helices and random coils are the predominant secondary structures. Hydrophobic amino acids were more abundant than hydrophilic ones, with glycine accounting for approximately 10.4% of the total residues. The protein's aliphatic index was 72.05, and the instability index was 28.28, suggesting that α-AgaD is stable and likely to maintain its structure across a wide temperature range. Three-dimensional models of α-AgaD were constructed using I-TASSER, NCBI-PDB, SWISS-MODEL, and AlphaFold2, and subsequently validated using ERRAT, Verify3D, and PROCHECK. Among the models generated, AlphaFold2 produced the most accurate prediction, with nearly all amino acid residues located in the preferred regions of the Ramachandran plot. This further confirmed the reliability and quality of the refined models. The in silico structural analysis of α-AgaD offers valuable insights into the enzyme’s primary sequence, functional domains, and overall structural architecture, enhancing our understanding of α-agarase from Thalassomonas sp. LD5.