Roles of Major Facilitator Superfamily Transporters in Phosphate Response in Drosophila
Name
Bergwitz-2012-Roles of major facil.pdf
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Author(s)
Bergwitz, Clemens
Rasmussen, Matthew D.
DeRobertis, Charles
Wee, Mark J.
Sinha, Sumi
Chen, Hway H.
Huang, Joanne
Perrimon, Norbert
Date Issued
February 2012
Journal
PLoS ONE
Publisher
Public Library of Science
Citation
Bergwitz, Clemens et al. “Roles of Major Facilitator Superfamily Transporters in Phosphate Response in Drosophila.” Ed. Shree Ram Singh. PLoS ONE 7.2 (2012): e31730. Web. 20 Apr. 2012.
Version
Final published version
Abstract
The major facilitator superfamily (MFS) transporter Pho84 and the type III transporter Pho89 are responsible for metabolic effects of inorganic phosphate in yeast. While the Pho89 ortholog Pit1 was also shown to be involved in phosphate-activated MAPK in mammalian cells, it is currently unknown, whether orthologs of Pho84 have a role in phosphate-sensing in metazoan species. We show here that the activation of MAPK by phosphate observed in mammals is conserved in Drosophila cells, and used this assay to characterize the roles of putative phosphate transporters. Surprisingly, while we found that RNAi-mediated knockdown of the fly Pho89 ortholog dPit had little effect on the activation of MAPK in Drosophila S2R+ cells by phosphate, two Pho84/SLC17A1–9 MFS orthologs (MFS10 and MFS13) specifically inhibited this response. Further, using a Xenopus oocyte assay, we show that MSF13 mediates uptake of [³³P]-orthophosphate in a sodium-dependent fashion. Consistent with a role in phosphate physiology, MSF13 is expressed highest in the Drosophila crop, midgut, Malpighian tubule, and hindgut. Altogether, our findings provide the first evidence that Pho84 orthologs mediate cellular effects of phosphate in metazoan cells. Finally, while phosphate is essential for Drosophila larval development, loss of MFS13 activity is compatible with viability indicating redundancy at the levels of the transporters.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
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DOI of Published Version
https://doi.org/10.1371/journal.pone.0031730
