ArticleMicrobiologyOpen2019
Recovery and functional validation of hidden soil enzymes in metagenomic libraries.
Article in MicrobiologyOpen, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Potential Use of Microbial Community Genomes in Various Dimensions of Agriculture Productivity and Its Management: A Review.Frontiers in microbiology · 2022Review
- Emerging priorities for microbial metagenome research.Bioresource technology reports · 2020Review
- Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library.Frontiers in microbiology · 2020Article
- Recovery and functional validation of hidden soil enzymes in metagenomic libraries.MicrobiologyOpen · 2019Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The vast microbial diversity on the planet represents an invaluable source for identifying novel activities with potential industrial and therapeutic application. In this regard, metagenomics has emerged as a group of strategies that have significantly facilitated the analysis of DNA from multiple environments and has expanded the limits of known microbial diversity. However, the functional characterization of enzymes, metabolites, and products encoded by diverse microbial genomes is limited by the inefficient heterologous expression of foreign genes. We have implemented a pipeline that combines NGS and Sanger sequencing as a way to identify fosmids within metagenomic libraries. This strategy facilitated the identification of putative proteins, subcloning of targeted genes and preliminary characterization of selected proteins. Overall, the in silico approach followed by the experimental validation allowed us to efficiently recover the activity of previously hidden enzymes derived from agricultural soil samples. Therefore, the methodology workflow described herein can be applied to recover activities encoded by environmental DNA from multiple sources.
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