Pros |
• Complete functional profile of an environment |
• Can lead to detection of new enzymes or folds catalyzing known reactions |
• Sensitive for low-abundance sequences |
• Genomic context and taxonomy obtained through binning/assembly |
• Well-developed methods to screen for industrially-relevant enzymes, e.g., lipases, cellulases |
• Detect variation within a single gene family at the level of single nucleotide changes |
• Higher accuracy achievable with proximity-guided assembly and long-read sequencing methods |
• Inexpensive |
• Relatively inexpensive |
• Can be combined with other meta-omics analyses |
• Activity-forward method guarantees enzymes are active and express well in E. coli
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• Generally less biased than activity- and PCR-based methods |
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Cons |
• High sequencing depth required to detect genes in low abundance |
• Limited to genes and small to medium-sized gene clusters that are expressed in the screening host |
• Requires conserved DNA motifs in target sequences |
• Computationally-intensive assembly and binning |
• Typically limited to types of reactions that can be screened rapidly |
• Not effective for detecting novel enzyme seqences or folds |
• Challenging to infer function from sequence alone |
• Can requires specific high-throughput screening equipment |
• Little to no taxonomic information |
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• No taxonomic information |
• PCR-bias against GC-rich sequences |
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• Can only screen for one type of reaction/function at a time |
Short reads make gene cluster context difficult to recover |