Acta Scientific Microbiology (ISSN: 2581-3226)

Research Article Volume 5 Issue 9

Optimization of the Growth Condition and Molecular Identification of Two Bacterial Isolates from Egyptian Agricultural Wastes

Khaled Abuelhaded1,2*, Mohamed Ahmed El Howeity2, AM Nofal1 and Gehad H Zanoun3

1Environmental Studies and Researches Institute University of Sadat City, Sadat City, Egypt

2School of Biotechnology, Badr University in Cairo, Badr City, Cairo, Egypt

3Botany and Microbiology Department, Faculty of Science, Menoufia University, Egypt

*Corresponding Author: Khaled Abuelhaded, Environmental Studies and Researches Institute University of Sadat City, Sadat City, Egypt.

Received: July 27, 2022; Published: August 09, 2022

Abstract

Bacteria that produce cellulase were isolated from rice straw and sugarcane straw and screened using the Congo Red technique. 16S rDNA analysis was used to identify the highly cellulolytic isolates. CH1-Rice has homology with Brevibacillus sp., while CH5-Sugarcane has homology with Klebsiella variicol, according to phylogenetic tree analysis of their 16S rDNA gene sequencing information’s. Bacterial optimum growth conditions were adjusted by manipulating nutritional and environmental parameters as temperature, pH, cellulose concentration, incubation time, salinity, and different carbon sources. The activity was estimated by measuring the turbidity of bacteria with a spectrophotometer. In conclusion, Two different bacterial strains were discovered and isolated, and the optimal growth conditions for each were identified. These strains might be employed to transform plant waste into more beneficial substances.

Keywords: 16S rRNA; Cellulose Degrading Bacteria; Optimization; Saccharification; Bioethanol; Renewable Energy; Biodegradation

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Citation

Citation: Khaled Abuelhaded., et al. “Optimization of the Growth Condition and Molecular Identification of Two Bacterial Isolates from Egyptian Agricultural Wastes". Acta Scientific Microbiology 5.9 (2022): 73-79.

Copyright

Copyright: © 2022 Khaled Abuelhaded., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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