Earticle

초록

영어

Recently, microorganism studies increases have provided potential applications and challenges for all organisms. Understanding how the microorganisms' diverse metabolisms have an essential effect on other organisms is crucial. Isolated bacteria from cold environments and has the potential to play various roles at low temperatures. The genetic pattern analysis of carbohydrate-active enzymes (CAZymes) in isolated bacteria from cold environments can help to determine how they adapt and survive in extreme environments. In a genome sequence-based, this study provides insights into the diversity of redundant patterns of CAZyme for finding new compounds and active enzymes that can endure the cold environment of microbial. Genome-wide comparisons confirmed that AA3, AA4, CE1, CE4, CE9, CE14, GH3, GH13, GH23, GT2, GT4, GT51, and CBM48 families of CAZyme were highlighted from isolated bacteria genomes from the cold environment. The CAZyme pattern of cold environment microbial can infer that energy is obtained from polysaccharides found in crustaceans, algae, and grasses in cold environments, such as glycogen, cellulose, hemicellulose, and chitin. These overall results explained the genome sequence based CAZyme pattern analysis of cold environment microbial. The most visible patterns were groups of enzymes that could degrade the main components of a fungal cell wall or the shell components of crustaceans. Thus, in this study provides a way for isolated bacteria from a cold environment to utilize polysaccharide or carbohydrate degradation as an energy source to generate energy in cold environments and provides a foundation for understanding survival adaptation mechanisms under cold adaption.

목차

Abstract
1. Introduction
2. Statement of Contribution/Experimental/Methods
2.1 Isolation of bacteria from cold environment
2.2 Genomic DNA extraction and Genome sequencing
2.3 Profile annotation and CAZyme annotation of the cold-adapted bacteria genome sequence
3. Results, Discussions, and Conclusions
3.1 Genome information for cold-adapted bacteria
3.2 CAZyme encoding in cold-adapted bacteria
3.3 GH family of CAZyme pattern in a cold environment bacteria genome
3.3 GH family of CAZyme pattern in a cold environment bacteria genome
3.4 Discussions, and Conclusions
Acknowledgement
References

키워드

저자

• So-Ra Han [ Bio Bigdata-based Chungnam Smart Clean Research Leader Training Program, Sun Moon University, Asan/Genome-based BioIT Convergence Institute, Sun Moon University, Asan 31460, Korea ]
• Hyun Lee [ Bigdata-based Chungnam Smart Clean Research Leader Training Program, Sun Moon University/Genome-based BioIT Convergence Institute, Sun Moon University/Division of Computer Science and Engineering, Sun Moon University, Asan 31460, Korea ]
• Tae-Jin Oh [ Bigdata-based Chungnam Smart Clean Research Leader Training Program, Sun Moon University/Genome-based BioIT Convergence Institute, Sun Moon University/ Department of Life Science and Biochemical Engineering, Graduate School, Sun Moon University, Asan, 31460, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  선문효정학술연구회 학술대회 프로시딩

• 간기

  반년간

• 수록기간

  2023~2026

• 십진분류

  KDC 238 DDC 289