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Functional and structural insights into α-L-Rhamnosidase: cloning, characterization, and decoding evolutionary
Yupeng Liang1, Yalan Zhao1, Zhongwei Yin1
1National Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Key Laboratory of Microbial Diversity in Southwest China, Yunnan Institute of Microbiology, School of Life Sciences, Ministry of Education, Yunnan University, Kunming, 650500, Yunnan, China.
Conserved structural motifs in alpha-L-rhamnosidase enzymes were identified, aiding in the discovery of new functional enzymes for biotechnology. This research highlights structure-guided enzyme mining for industrial applications.
Area of Science:
- Enzymology and Structural Biology
- Biotechnology and Industrial Microbiology
Background:
- Alpha-L-rhamnosidase (EC 3.2.1.40) is crucial for industrial and biotechnological processes.
- Limited understanding of active site structures and substrate interactions impedes enzyme development.
Purpose of the Study:
- To investigate conserved structural features in microbial alpha-L-rhamnosidases.
- To develop structure-guided methods for identifying functional alpha-L-rhamnosidases from metagenomic data.
- To explore the evolutionary conservation of key active site residues.
Main Methods:
- Comparative analysis of functionally characterized microbial alpha-L-rhamnosidases.
- Identification of conserved local structural motifs in substrate-binding sites.
- Screening of the AlphaFold database for structures containing these motifs.
- Characterization of alpha-L-rhamnosidase genes from metagenomic samples.
Main Results:
- Highly conserved local structures and key residues were found in the substrate-binding sites, despite global structural variations.
- A conserved motif was identified in 5678 out of 26,858 screened alpha-L-rhamnosidase structures.
- Analysis revealed evolutionary constraints on 15 key residues essential for enzyme function, present across ancestral sequences.
Conclusions:
- Structure-guided approaches are effective for discovering functional enzymes.
- Identifying conserved motifs aids in predicting enzyme function and enables enzyme engineering for biotechnological applications.
- The conserved motifs and residues highlight evolutionary pressures maintaining alpha-L-rhamnosidase functionality.
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