Title
MS/MS networking guided analysis of molecule and gene cluster families
Date Issued
09 July 2013
Access level
open access
Resource Type
journal article
Author(s)
Nguyen D.D.
Wu C.H.
Moree W.J.
Lamsa A.
Medema M.H.
Zhao X.
Aparicio M.
Atencio L.
Jackson C.
Ballesteros J.
Sanchez J.
Watrous J.D.
Phelan V.V.
Van De Wiel C.
Kersten R.D.
Mehnaz S.
De Mot R.
Shank E.A.
Charusanti P.
Nagarajan H.
Duggan B.M.
Moore B.S.
Bandeira N.
Palsson B.
Pogliano K.
Gutieŕrez M.
Dorrestein P.C.
Institute for Scientific Research and Technology Services
Abstract
The ability to correlate the production of specialized metabolites to the genetic capacity of the organism that produces such molecules has become an invaluable tool in aiding the discovery of biotechnologically applicable molecules. Here, we accomplish this task by matching molecular families with gene cluster families, making these correlations to 60 microbes at one time instead of connecting one molecule to one organism at a time, such as how it is traditionally done. We can correlate these families through the use of nanospray desorption electrospray ionization MS/MS, an ambient pressure MS technique, in conjunction with MS/MS networking and peptidogenomics. We matched the molecular families of peptide natural products produced by 42 bacilli and 18 pseudomonads through the generation of amino acid sequence tags from MS/MS data of specific clusters found in the MS/MS network. These sequence tags were then linked to biosynthetic gene clusters in publicly accessible genomes, providing us with the ability to link particular molecules with the genes that produced them. As an example of its use, this approach was applied to two unsequenced Pseudoalteromonas species, leading to the discovery of the gene cluster for a molecular family, the bromoalterochromides, in the previously sequenced strain P. piscicida JCM 20779T. The approach itself is not limited to 60 related strains, because spectral networking can be readily adopted to look at molecular family-gene cluster families of hundreds or more diverse organisms in one single MS/MS network.
Volume
110
Issue
28
Language
English
OCDE Knowledge area
Biología celular, Microbiología
Genética, Herencia
Subjects
Scopus EID
2-s2.0-84879908779
PubMed ID
Source
Proceedings of the National Academy of Sciences of the United States of America
ISSN of the container
00278424
Sponsor(s)
National Institute of General Medical Sciences K01GM103809, P41GM103484, P41GM103485, R01GM094802, R01GM097509, R01GM098105
National Institute of Allergy and Infectious Diseases R01AI095125
Fogarty International Center U01TW006634
National Center for Research Resources S10RR029121
Sources of information:
Directorio de Producción Científica
Scopus