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Title: Automated genomic context analysis and experimental validation platform for discovery of prokaryote transcriptional regulator functions

Abstract

In this study, the clustering of genes in a pathway and the co-location of functionally related genes is widely recognized in prokaryotes. We used these characteristics to predict the metabolic involvement for a Transcriptional Regulator (TR) of unknown function, identified and confirmed its biological activity. software tool that identifies the genes encoded within a defined genomic neighborhood for the subject TR and its homologs was developed. The output lists of genes in the genetic neighborhoods, their annotated functions, the reactants/products, and identifies the metabolic pathway in which the encoded-proteins function. When a set of TRs of known function was analyzed, we observed that their homologs frequently had conserved genomic neighborhoods that co-located the metabolically related genes regulated by the subject TR. We postulate that TR effectors are metabolites in the identified pathways; indeed the known effectors were present. We analyzed Bxe_B3018 from Burkholderia xenovorans, a TR of unknown function and predicted that this TR was related to the glycine, threonine and serine degradation. We tested the binding of metabolites in these pathways and for those that bound, their ability to modulate TR binding to its specific DNA operator sequence. Using rtPCR, we confirmed that methylglyoxal was an effector of Bxe_3018.more » These studies provide the proof of concept and validation of a systematic approach to the discovery of the biological activity for proteins of unknown function, in this case a TR. Bxe_B3018 is a methylglyoxal responsive TR that controls the expression of an operon composed of a putative efflux system.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1201466
Alternate Identifier(s):
OSTI ID: 1238661
Report Number(s):
LA-UR-14-20616
Journal ID: ISSN 1471-2164; PII: 1471-2164-15-1142
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
BMC Genomics
Additional Journal Information:
Journal Volume: 15; Journal Issue: 1; Journal ID: ISSN 1471-2164
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; comparative genomics; Bxe_B3018; methylglyoxal; transcriptional regulator; anisotropy; EMSA; FAC-MS; rtPCR; Burkholderia xenovorans LB400; protein function discovery; Burkholderia xenovorans; function discovery; gene cluster; computational prediction

Citation Formats

Martí-Arbona, Ricardo, Mu, Fangping, Nowak-Lovato, Kristy L., Wren, Melinda S., Unkefer, Clifford J., and Unkefer, Pat J. Automated genomic context analysis and experimental validation platform for discovery of prokaryote transcriptional regulator functions. United States: N. p., 2014. Web. doi:10.1186/1471-2164-15-1142.
Martí-Arbona, Ricardo, Mu, Fangping, Nowak-Lovato, Kristy L., Wren, Melinda S., Unkefer, Clifford J., & Unkefer, Pat J. Automated genomic context analysis and experimental validation platform for discovery of prokaryote transcriptional regulator functions. United States. https://doi.org/10.1186/1471-2164-15-1142
Martí-Arbona, Ricardo, Mu, Fangping, Nowak-Lovato, Kristy L., Wren, Melinda S., Unkefer, Clifford J., and Unkefer, Pat J. Thu . "Automated genomic context analysis and experimental validation platform for discovery of prokaryote transcriptional regulator functions". United States. https://doi.org/10.1186/1471-2164-15-1142. https://www.osti.gov/servlets/purl/1201466.
@article{osti_1201466,
title = {Automated genomic context analysis and experimental validation platform for discovery of prokaryote transcriptional regulator functions},
author = {Martí-Arbona, Ricardo and Mu, Fangping and Nowak-Lovato, Kristy L. and Wren, Melinda S. and Unkefer, Clifford J. and Unkefer, Pat J.},
abstractNote = {In this study, the clustering of genes in a pathway and the co-location of functionally related genes is widely recognized in prokaryotes. We used these characteristics to predict the metabolic involvement for a Transcriptional Regulator (TR) of unknown function, identified and confirmed its biological activity. software tool that identifies the genes encoded within a defined genomic neighborhood for the subject TR and its homologs was developed. The output lists of genes in the genetic neighborhoods, their annotated functions, the reactants/products, and identifies the metabolic pathway in which the encoded-proteins function. When a set of TRs of known function was analyzed, we observed that their homologs frequently had conserved genomic neighborhoods that co-located the metabolically related genes regulated by the subject TR. We postulate that TR effectors are metabolites in the identified pathways; indeed the known effectors were present. We analyzed Bxe_B3018 from Burkholderia xenovorans, a TR of unknown function and predicted that this TR was related to the glycine, threonine and serine degradation. We tested the binding of metabolites in these pathways and for those that bound, their ability to modulate TR binding to its specific DNA operator sequence. Using rtPCR, we confirmed that methylglyoxal was an effector of Bxe_3018. These studies provide the proof of concept and validation of a systematic approach to the discovery of the biological activity for proteins of unknown function, in this case a TR. Bxe_B3018 is a methylglyoxal responsive TR that controls the expression of an operon composed of a putative efflux system.},
doi = {10.1186/1471-2164-15-1142},
journal = {BMC Genomics},
number = 1,
volume = 15,
place = {United States},
year = {Thu Dec 18 00:00:00 EST 2014},
month = {Thu Dec 18 00:00:00 EST 2014}
}

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