PCycDB: a comprehensive and accurate database for fast analysis of phosphorus cycling genes

作者：Jiaxiong Zeng, Qichao Tu, Xiaoli Yu, Lu Qian, Cheng Wang, Longfei Shu, Fei Liu, Shengwei Liu, Zhijian Huang, Jianguo He, Qingyun Yan, Zhili He · 发表于：Microbiome · 年份：2022 · DOI：10.1186/s40168-022-01292-1 · 被引用次数：228 · 研究领域：Wastewater Treatment and Nitrogen Removal、Phosphorus and nutrient management、Microbial Metabolic Engineering and Bioproduction

BACKGROUND: Phosphorus (P) is one of the most essential macronutrients on the planet, and microorganisms (including bacteria and archaea) play a key role in P cycling in all living things and ecosystems. However, our comprehensive understanding of key P cycling genes (PCGs) and microorganisms (PCMs) as well as their ecological functions remains elusive even with the rapid advancement of metagenome sequencing technologies. One of major challenges is a lack of a comprehensive and accurately annotated P cycling functional gene database. RESULTS: In this study, we constructed a well-curated P cycling database (PCycDB) covering 139 gene families and 10 P metabolic processes, including several previously ignored PCGs such as pafA encoding phosphate-insensitive phosphatase, ptxABCD (phosphite-related genes), and novel aepXVWPS genes for 2-aminoethylphosphonate transporters. We achieved an annotation accuracy, positive predictive value (PPV), sensitivity, specificity, and negative predictive value (NPV) of 99.8%, 96.1%, 99.9%, 99.8%, and 99.9%, respectively, for simulated gene datasets. Compared to other orthology databases, PCycDB is more accurate, more comprehensive, and faster to profile the PCGs. We used PCycDB to analyze P cycling microbial communities from representative natural and engineered environments and showed that PCycDB could apply to different environments. CONCLUSIONS: We demonstrate that PCycDB is a powerful tool for advancing our understanding of microbially driven...