| Title |
Crystal structure and biochemical characterization of the transmembrane PAP2 type phosphatidylglycerol phosphate phosphatase from Bacillus subtilis
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, February 2017
|
| DOI | 10.1007/s00018-017-2464-6 |
| Pubmed ID | |
| Authors |
Meriem El Ghachi, Nicole Howe, Rodolphe Auger, Alexandre Lambion, Annick Guiseppi, François Delbrassine, Guillaume Manat, Sophie Roure, Sabine Peslier, Eric Sauvage, Lutz Vogeley, Juan-Carlos Rengifo-Gonzalez, Paulette Charlier, Dominique Mengin-Lecreulx, Maryline Foglino, Thierry Touzé, Martin Caffrey, Frédéric Kerff |
| Abstract |
Type 2 phosphatidic acid phosphatases (PAP2s) can be either soluble or integral membrane enzymes. In bacteria, integral membrane PAP2s play major roles in the metabolisms of glycerophospholipids, undecaprenyl-phosphate (C55-P) lipid carrier and lipopolysaccharides. By in vivo functional experiments and biochemical characterization we show that the membrane PAP2 coded by the Bacillus subtilis yodM gene is the principal phosphatidylglycerol phosphate (PGP) phosphatase of B. subtilis. We also confirm that this enzyme, renamed bsPgpB, has a weaker activity on C55-PP. Moreover, we solved the crystal structure of bsPgpB at 2.25 Å resolution, with tungstate (a phosphate analog) in the active site. The structure reveals two lipid chains in the active site vicinity, allowing for PGP substrate modeling and molecular dynamic simulation. Site-directed mutagenesis confirmed the residues important for substrate specificity, providing a basis for predicting the lipids preferentially dephosphorylated by membrane PAP2s. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 50% |
| Japan | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 23% |
| Researcher | 6 | 17% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 9% |
| Professor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 34% |
| Agricultural and Biological Sciences | 9 | 26% |
| Chemistry | 2 | 6% |
| Computer Science | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 8 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2018.
All research outputs
#14,873,797
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#2,871
of 4,151 outputs
Outputs of similar age
#233,305
of 423,896 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#29
of 47 outputs
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