Hiraoka Satoshi, Ijichi Minoru, Takeshima Hirohiko, Kumagai Yohei, Yang Ching-Chia, Makabe-Kobayashi Yoko, Fukuda Hideki, Yoshizawa Susumu, Iwasaki Wataru, Kogure Kazuhiro, Shiozaki Takuhei
Research Center for Bioscience and Nanoscience (CeBN), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Kanagawa, Japan.
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.
Mol Ecol Resour. 2025 Apr;25(3):e14042. doi: 10.1111/1755-0998.14042. Epub 2024 Nov 18.
The ammonia monooxygenase subunit A (amoA) gene has been used to investigate the phylogenetic diversity, spatial distribution and activity of ammonia-oxidising 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 abundance of target genes in heterogeneous environmental DNA restricts a comprehensive analysis to a realisable sequencing depth. In this study, we developed a probe set and bioinformatics workflow for amoA enrichment sequencing using a hybridisation 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.
氨单加氧酶亚基A(amoA)基因已被用于研究氨氧化古菌(AOA)和细菌(AOB)的系统发育多样性、空间分布及活性,它们对各种生态系统中的氮循环有重要贡献。amoA的扩增子测序是一种广泛使用的方法;然而,由于缺乏“通用”引物组,其结果不准确。此外,目前可用的引物组存在扩增偏差,可能导致严重的错误解读。虽然鸟枪法宏基因组和宏转录组分析是无扩增偏差的替代方法,但异质环境DNA中目标基因的低丰度限制了在可实现的测序深度下进行全面分析。在本研究中,我们开发了一套探针组和生物信息学工作流程,用于采用杂交捕获技术进行amoA富集测序。使用宏基因组模拟群落样本,我们的方法有效地富集了amoA基因,且组成变化小,优于扩增和宏组学测序分析。在对宏转录组海洋样本进行分析后,我们预测了80个归属于AOA或AOB的可操作分类单元(OTU),其中30个OTU使用简单的宏转录组或amoA基因扩增子测序无法鉴定。捕获样本中所有检测到的OTU的比对读数比率(50.4±27.2%)显著高于非捕获样本(0.05±0.02%),证明了该方法的高富集效率。分析还揭示了AOA生态型的空间多样性,具有高灵敏度和系统发育分辨率,这是传统方法难以检测到的。