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GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization
Published on: October 24, 2011
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Mixed evolutionary origins of endogenous biomass-depolymerizing enzymes in animals
Wai Hoong Chang1, Alvina G Lai2
1Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7FZ, UK. changwaihoong@gmail.com.
BMC Genomics
|June 22, 2018
Summary
Animals possess their own enzyme systems for breaking down biomass, challenging the microbe-centric view. These animal glycoside hydrolase (GH) genes have diverse evolutionary origins and vary based on diet.
Area of Science:
- Genomics
- Evolutionary Biology
- Biochemistry
Background:
- The conventional understanding of lignocellulose digestion in animals relies heavily on symbiotic gut microbes, with less focus on endogenous animal systems.
- The existence of animal-encoded biomass conversion systems has not been definitively established.
Purpose of the Study:
- To conduct an exhaustive search for glycoside hydrolase (GH) genes within animal genomes across major lineages.
- To investigate the evolutionary origins and dietary influences on animal lignocellulolytic enzyme repertoires.
Main Methods:
- Genome-wide search for glycoside hydrolase (GH) genes in 21 animal genomes and a unicellular relative (Capsaspora owczarzaki).
- Comparative analysis of 126 crustacean transcriptomes.
- Phylogenetic analyses to determine gene origins (vertical inheritance vs. horizontal gene transfer).
Main Results:
- Identified 16,723 GH homologs (2373 genes from animal genomes, 14,350 from crustacean transcriptomes) across 60 GH families.
- Demonstrated that animals encode enzymatic suites for biomass decomposition, functioning as micro-scale bioreactors.
- Revealed multiple evolutionary origins for animal lignocellulolytic enzymes, including vertical inheritance and acquisition from non-animal sources.
Conclusions:
- Animal biomass decay capabilities are linked to dietary strategies; detritivores exhibit broader enzymatic functions compared to specialists.
- The identified animal GH gene candidates are valuable for future functional genomics research.
- This study provides a platform for discovering novel enzyme candidates with potential industrial applications.
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