Phylogenetic distribution, biogeography and the effects of land management upon bacterial non-specific Acid phosphatase Gene diversity and abundance
Background and aims :Bacterial Non-Specific Acid Phosphatase (NSAP) enzymes are capable of dephosphorylating diverse organic phosphoesters but are rarely studied: their distribution in natural and managed environments is poorly understood. The aim of this study was to generate new insight into the environmental distribution of NSAPs and establish their potential global relevance to cycling of organic phosphorus. Methods : We employed bioinformatic tools to determine NSAP diversity and subcellular localization in microbial genomes; used the corresponding NSAP gene sequences to census metagenomes from diverse ecosystems; studied the effect of long-term land management upon NSAP diversity and abundance. Results : Periplasmic class B NSAPs are poorly represented in marine and terrestrial environments, reflecting their association with enteric and pathogenic bacteria. Periplasmic class A and outer membrane-associated class C NSAPs are cosmopolitan. NSAPs are more abundant in marine than terrestrial ecosystems and class C more abundant than class A genes, except in an acidic peat where class A genes dominate. A clear effect of land management upon gene abundance was identified. Conclusions : NSAP genes are cosmopolitan. Class C genes are more widely distributed: their association with the outer-membrane of cells gives them a clear role in the cycling of organic phosphorus, particularly in soils
| Item Type | Article |
|---|---|
| Open Access | Gold |
| Additional information | Rothamsted Research receives strategic funding from the UK Biotechnology and Biological Science Research Council which supported this work (grant BBS/E/C/00005196) |
| Keywords | Metagenomics , Soil , Acid phosphatase, Phosphorus, Phosphate, Exoenzymes |
| Project | Optimisation of nutrients in soil-plant systems: How can we control nitrogen cycling in soil?, Sustainability, The Rothamsted Long Term Experiments [2017-2022] |
| Date Deposited | 05 Dec 2025 09:10 |
| Last Modified | 21 Jan 2026 17:14 |


