TY - GEN
T1 - The Diversity of Bacillus Resistant Iron (Fe) Isolated from ITS Eco Urban Farming Using Phenetic Numerical Taxonomy Approach
AU - Fatimah, Sabila
AU - Zulaika, Enny
N1 - Publisher Copyright:
© 2023 American Institute of Physics Inc.. All rights reserved.
PY - 2023/1/24
Y1 - 2023/1/24
N2 - Phenetic numerical taxonomy is one of the methods to study bacterial diversity. The genus Bacillus is a cosmopolitan bacterium that is abundant in nature. Some of its members can withstand iron (Fe). The objective of this study was to determine the diversity of iron-resistant Bacillus isolated from the ITS Eco Urban Farming using a numerical phenetic taxonomic approach. Isolation of bacteria through composite method and screening of iron resistant bacteria on nutrient agar containing Fe. Characterization of bacteria achieved by morphological, physiological, and biochemical tests. Dendrogram construction utilizing the Multivariate Statistical Package (MVSP) and isolates grouping based on the Unweighted Pair Group Method with Arithmetic Average (UPGMA). Seven tested isolates were resistant to Fe up to 120 ppm. Based on the generic assignment using profile matching, five isolates belong to Bacillus, and the others are not. Dendrogram construction showed 2 clusters, namely Cluster A, consisting of UF4, UF6, UF8, and Cluster B built from UF1 and UF5. Between cluster A and cluster B, there is a similarity index (SSM) of 64%, which indicates that the members of Cluster A are different from the members of Cluster B.
AB - Phenetic numerical taxonomy is one of the methods to study bacterial diversity. The genus Bacillus is a cosmopolitan bacterium that is abundant in nature. Some of its members can withstand iron (Fe). The objective of this study was to determine the diversity of iron-resistant Bacillus isolated from the ITS Eco Urban Farming using a numerical phenetic taxonomic approach. Isolation of bacteria through composite method and screening of iron resistant bacteria on nutrient agar containing Fe. Characterization of bacteria achieved by morphological, physiological, and biochemical tests. Dendrogram construction utilizing the Multivariate Statistical Package (MVSP) and isolates grouping based on the Unweighted Pair Group Method with Arithmetic Average (UPGMA). Seven tested isolates were resistant to Fe up to 120 ppm. Based on the generic assignment using profile matching, five isolates belong to Bacillus, and the others are not. Dendrogram construction showed 2 clusters, namely Cluster A, consisting of UF4, UF6, UF8, and Cluster B built from UF1 and UF5. Between cluster A and cluster B, there is a similarity index (SSM) of 64%, which indicates that the members of Cluster A are different from the members of Cluster B.
UR - http://www.scopus.com/inward/record.url?scp=85147264261&partnerID=8YFLogxK
U2 - 10.1063/5.0111310
DO - 10.1063/5.0111310
M3 - Conference contribution
AN - SCOPUS:85147264261
T3 - AIP Conference Proceedings
BT - 4th International Conference on Life Science and Technology, ICoLiST 2023
A2 - Taufiq, Ahmad
A2 - Susanto, Hendra
A2 - Wang, I. Ching
A2 - Nur, Hadi
A2 - Aziz, Muhammad
A2 - Chang, Chuang-Rung
A2 - Elbers, Gereon
A2 - Lestari, Sri Rahayu
A2 - Diantoro, Markus
A2 - Mufti, Nandang
A2 - Ng, Chen Siang
A2 - Malek, Nik Ahmad Nizam Nik
A2 - Sunaryono, null
A2 - Chiu, Yu-Hsin
A2 - Zubaidah, Siti
A2 - Aulanni'am, null
A2 - Wibowo, Indra
A2 - Handaya, Adeodatus Yuda
PB - American Institute of Physics Inc.
T2 - 4th International Conference on Life Science and Technology, ICoLiST 2023
Y2 - 31 August 2021
ER -