Probe capture enrichment sequencing ofamoAgenes discloses diverse ammonia-oxidizing archaeal and bacterial populations
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This study developed a probe capture enrichment sequencing method for *amoA* genes, which effectively identified diverse ammonia-oxidizing archaeal and bacterial populations with higher sensitivity and phylogenetic resolution than existing methods.
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Abstract
The ammonia monooxygenase subunit A ( amoA ) gene has been used to investigate the phylogenetic diversity, spatial distribution, and activity of ammonia-oxidizing archaeal (AOA) and bacterial (AOB), which contribute significantly to the nitrogen cycle in various ecosystems. Amplicon sequencing of amoA is a widely used method; however, it produces inaccurate results owing to the lack of a ‘universal’ primer set. Moreover, currently available primer sets suffer from amplification biases, which can lead to severe misinterpretation. Although shotgun metagenomic and metatranscriptomic analyses are alternative approaches without amplification bias, the low concentration of target genes in heterogeneous environmental DNA restricts a comprehensive analysis to a realizable sequencing depth. In this study, we developed a method for amoA enrichment sequencing using a hybridization capture technique. Using metagenomic mock community samples, our approach effectively enriched amoA genes with low compositional changes, outperforming amplification and meta-omics sequencing analyses. Following the analysis of metatranscriptomic marine samples, we predicted 80 operational taxonomic units (OTUs) assigned to either AOA or AOB, of which 30 OTUs were unidentified using simple metatranscriptomic or amoA gene amplicon sequencing. Mapped read ratios to all the detected OTUs were significantly higher for the capture samples (50.4 ± 27.2%) than for non-capture samples (0.05 ± 0.02%), demonstrating the high enrichment efficiency of the method. The analysis also revealed the spatial diversity of AOA ecotypes with high sensitivity and phylogenetic resolution, which are difficult to examine using conventional approaches.
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