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Amylase is one of the earliest characterized enzymes and has many applications in clinical and industrial settings. In biotechnological industries, the amylase activity is enhanced through modifying amylase structure and through cloning and expressing targeted amylases in different species. It is important to understand how engineered amylases can survive from generation to generation. This study used phylogenetic and statistical approaches to explore general patterns of amylases evolution, including 3118 α-amylases and 280 β-amylases from archaea, eukaryota and bacteria with fully documented taxonomic lineage. First, the phylogenetic tree was created to analyze the evolution of amylases with focus on individual amylases used in biofuel industry. Second, the average pairwise p-distance was computed for each kingdom, phylum, class, order, family and genus, and its diversity implies multi-time and multi-clan evolution. Finally, the variance was further partitioned into inter-clan variance and intra-clan variance for each taxonomic group, and they represent horizontal and vertical gene transfer. Theoretically, the results show a full picture on the evolution of amylases in manners of vertical and horizontal gene transfer, and multi-time and multi-clan evolution as well. Practically, this study provides the information on the surviving chance of desired amylase in a given taxonomic group, which may potentially enhance the successful rate of cloning and expression of amylase gene in different species.
Original Paper, Bacteria, Gene Transfer, Horizontal, Physiology, Molecular Sequence Data, Eukaryota, Genetic Variation, Applied Microbiology and Biotechnology, Archaea, Evolution, Molecular, Data Interpretation, Statistical, Amylases, Amino Acid Sequence, Genetic Engineering, Sequence Alignment, Phylogeny, Biotechnology
Original Paper, Bacteria, Gene Transfer, Horizontal, Physiology, Molecular Sequence Data, Eukaryota, Genetic Variation, Applied Microbiology and Biotechnology, Archaea, Evolution, Molecular, Data Interpretation, Statistical, Amylases, Amino Acid Sequence, Genetic Engineering, Sequence Alignment, Phylogeny, Biotechnology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |