Jonathan Monk

Dr. Jonathan Monk

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 January 2014 in Nature Reviews Genetics
Verified
Journal Article
Closed access
ABAarash Bordbar
Aarash Bordbar
JMJonathan Monk
Jonathan Monk
ZKZachary A. King
Zachary A. King
BPBernhard O. Palsson
Bernhard O. Palsson

1 May 2015 in Cell
Verified
Journal Article
Closed access
EOEdward J. O’brien
Edward J. O’brien
JMJonathan Monk
Jonathan Monk
BPBernhard Palsson
Bernhard Palsson

11 October 2017 in Nature Biotechnology
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Journal Article
Closed access
PDF file
JMJonathan Monk
Jonathan Monk
CLColton J Lloyd
Colton J Lloyd
EBElizabeth Brunk
Elizabeth Brunk
NMNathan Mih
Nathan Mih
ASAnand Sastry
Anand Sastry
BPBernhard Palsson
Bernhard Palsson

1 April 2011 in Cell
Verified
Journal Article
Closed access
YAYen-Sin Ang
Yen-Sin Ang
STSu-Yi Tsai
Su-Yi Tsai
Dung-Fang LeeDung-Fang Lee
Dung-Fang Lee
JMJonathan Monk
Jonathan Monk
JSJie Su
Jie Su
ILIhor R. Lemischka
Ihor R. Lemischka

25 November 2013 in Proceedings of the National Academy of Sciences
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Journal Article
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PDF file
JMJonathan Monk
Jonathan Monk
Pep CharusantiPep Charusanti
Pep Charusanti
Ramy AzizRamy Aziz
Ramy Aziz
JLJoshua A. Lerman
Joshua A. Lerman
NPNed Premyodhin
Ned Premyodhin
BPBernhard Palsson
Bernhard Palsson
Significance: Multiple Escherichia coli genome sequences have recently been made available by advances in DNA sequencing. Analysis of these genomes has demonstrated that the fraction of genes common to all E. coli strains in the species represents a small fraction of the entire E. coli gene pool. This observation raises the question: what is a strain and what is a species? In this study, genome-scale metabolic reconstructions of multiple E. coli strains are used to reconstruct the metabolic network for an entire species and its strain-specific variants. The models are used to determine functional differences between strains and define the E. coli species based on common metabolic capabilities. Individual strains were differentiated based on niche-specific growth capabilities.

18 February 2016 in PLOS Neglected Tropical Diseases
Verified
Journal Article
Open access
PDF file
DFDerrick Fouts
Derrick Fouts
MMMichael A. Matthias
Michael A. Matthias
HAHaritha Adhikarla
Haritha Adhikarla
BABen Adler
Ben Adler
LALuciane Amorim-Santos
Luciane Amorim-Santos
JVJoseph Vinetz
Joseph Vinetz
Leptospirosis, caused by spirochetes of the genus Leptospira, is a globally widespread, neglected and emerging zoonotic disease. While whole genome analysis of individual pathogenic, intermediately pathogenic and saprophytic Leptospira species has been reported, comprehensive cross-species genomic comparison of all known species of infectious and non-infectious Leptospira, with the goal of identifying genes related to pathogenesis and mammalian host adaptation, remains a key gap in the field. Infectious Leptospira, comprised of pathogenic and intermediately pathogenic Leptospira, evolutionarily diverged from non-infectious, saprophytic Leptospira, as demonstrated by the following computational biology analyses: 1) the definitive taxonomy and evolutionary relatedness among all known Leptospira species; 2) genomically-predicted metabolic reconstructions that indicate novel adaptation of infectious Leptospira to mammals, including sialic acid biosynthesis, pathogen-specific porphyrin metabolism and the first-time demonstration of cobalamin (B12) autotrophy as a bacterial virulence factor; 3) CRISPR/Cas systems demonstrated only to be present in pathogenic Leptospira, suggesting a potential mechanism for this clade’s refractoriness to gene targeting; 4) finding Leptospira pathogen-specific specialized protein secretion systems; 5) novel virulence-related genes/gene families such as the Virulence Modifying (VM) (PF07598 paralogs) proteins and pathogen-specific adhesins; 6) discovery of novel, pathogen-specific protein modification and secretion mechanisms including unique lipoprotein signal peptide motifs, Sec-independent twin arginine protein secretion motifs, and the absence of certain canonical signal recognition particle proteins from all Leptospira; and 7) and demonstration of infectious Leptospira-specific signal-responsive gene expression, motility and chemotaxis systems. By identifying large scale changes in infectious (pathogenic and intermediately pathogenic) vs. non-infectious Leptospira, this work provides new insights into the evolution of a genus of bacterial pathogens. This work will be a comprehensive roadmap for understanding leptospirosis pathogenesis. More generally, it provides new insights into mechanisms by which bacterial pathogens adapt to mammalian hosts. Leptospirosis is an emerging and re-emerging globally important zoonotic infectious disease caused by spirochetes of the genus Leptospira. This genus is complex, with members that cause lethal human disease, yet mechanisms that underlie pathogenesis remain obscure. Leptospira species are divided into those that are infectious for mammals, and those that are non-infectious environmental saprophytes. Based on biological characteristics and molecular phylogeny, infectious Leptospira are further divided into pathogenic and intermediately pathogenic members. The pan-genus genomic analysis of 20 Leptospira species reported here shows the evolutionary relationship of the different Leptospira clades, and various genetic factors related to virulence and pathogenesis. Infectious Leptospira show key adaptations to mammals, for example sialic acid biosynthesis, pathogen-specific porphyrin metabolism, and the observation that pathogenic Leptospira are vitamin B12 autotrophs, able to synthesize it from a simple amino acid precursor, L-glutamine. A large novel protein family of unknown function—the Virulence Modifying proteins—is found uniquely in pathogenic Leptospira. Similarly, the CRISPR/Cas system was only found in pathogenic Leptospira. A comparative genomic analysis of a complex bacterial genus allowed us to identify large-scale changes that provides new insights into general processes by which bacteria evolve to become pathogenic.