@misc{10481/98969,
year = {2020},
month = {8},
url = {https://hdl.handle.net/10481/98969},
abstract = {Phylogenetic analysis of more than 4000 annotatedbacterial acid phosphatases was carried out. Ouranalysis enabled us to sort these enzymes into thefollowing three types: (1) class B acid phosphatases,which were distantly related to the other types,(2) class C acid phosphatases and (3) generic acidphosphatases (GAP). Although class B phospha-tases are found in a limited number of bacterial fami-lies, which include known pathogens, class C acidphosphatases and GAP proteins are found in a vari-ety of microbes that inhabit soil, fresh water andmarine environments. As part of our analysis, wedeveloped three profiles, named Pfr-B-Phos, Pfr-C-Phos and Pfr-GAP, to describe the three groups ofacid phosphatases. These sequence-based profileswere then used to scan genomes and metagenomesto identify a large number of formerly unknown acidphosphatases. A number of proteins in databasesannotated as hypothetical proteins were also identi-fied by these profiles as putative acid phosphatases.To validate these in silico results, we cloned genesencoding candidate acid phosphatases from geno-mic DNA or recovered from metagenomic libraries orgenes synthesized in vitro based on proteinsequences recovered from metagenomic data.Expression of a number of these genes, followed byenzymatic analysis of the proteins, further confirmedthat sequence similarity searches using our profilescould successfully identify previously unknown acidphosphatases},
publisher = {Environmental Microbiology},
title = {Developing robust protein analysis profiles to identify bacterial acid phosphatases in genomes and metagenomic libraries},
doi = {10.1111/1462-2920.15138},
author = {Udaondo, Zulema and Duque, Estrella and Daddaoua, Abdelali and Caselles, Carlos and Roca, Amalia and Pizarro Tobias, Paloma and Ramos, Juan Luis},
}