Paul J. Janssen

Dr. Paul J. Janssen


Research Focus & Metrics

Academic Career Length

39Years (1988-Present)

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

Representative Publications

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1 July 1996 in Microbiology
Verified
Journal Article
Closed access
PJPaul J. Janssen
Paul J. Janssen
RCR. Coopman
R. Coopman
GHGeert Huys
Geert Huys
JSJ. Swings
J. Swings
MBM. Bleeker
M. Bleeker
KKK. Kersters
K. Kersters
We investigated the usefulness of a novel DNA fingerprinting technique, AFLP, which is based on the selective amplification of genomic restriction fragments by PCR, to differentiate bacterial strains at the subgeneric level. In totals, 147 bacterial strains were subjected to AFLP fingerprinting: 36 Xanthomonas strains, including 23 pathovars of Xanthomonas axonopodis and six pathovars of Xanthomonas vasicola, one strain of Stenotrophomonas, 90 genotypically characterized strains comprising all 14 hybridization groups currently described in the genus Aeromonas, and four strains of each of the genera Clostridium, Bacillus, Acinetobacter, Pseudomonas and Vibrio. Depending on the genus, total genomic DNA of each bacterium was digested with a particular combination of two restriction endonucleases and the resulting fragments were ligated to restriction halfsite-specific adaptors. These adaptors served as primer-binding sites allowing the fragments to be amplified by selective PCR primers that extend beyond the adaptor and restriction site sequences. Following electrophoretic separation on 5% (w/v) polyacrylamide/8.3 M urea, amplified products could be visualized by autoradiography because one of the selective primers was radioactively labelled. The resulting banding patterns, containing approximately 30-50 visualized PCR products in the size range 80-550 bp, were captured by a high-resolution densitoscanner and further processed for computer-assisted analysis to determine band-based similarity coefficients. This study reveals extensive evidence for the applicability of AFLP in bacterial taxonomy through comparison of the newly obtained data with results previously obtained by well-established genotypic and chemotaxonomic methods such as DNA-DNA hybridization and cellular fatty acid analysis. In addition, this study clearly demonstrates the superior discriminative power of AFLP towards the differentiation of highly related bacterial strains that belong to the same species or even biovar (i.e. to characterize strains at the infrasubspecific level), highlighting the potential of this novel fingerprinting method in epidemiological and evolutionary studies.

5 May 2010 in PLOS ONE
Verified
Journal Article
Open access
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PJPaul J. Janssen
Paul J. Janssen
Rob Van HoudtRob Van Houdt
Rob Van Houdt
HMHugo Moors
Hugo Moors
PMPieter Monsieurs
Pieter Monsieurs
NMNicolas Morin
Nicolas Morin
MMMax Mergeay
Max Mergeay
Many bacteria in the environment have adapted to the presence of toxic heavy metals. Over the last 30 years, this heavy metal tolerance was the subject of extensive research. The bacterium Cupriavidus metallidurans strain CH34, originally isolated by us in 1976 from a metal processing factory, is considered a major model organism in this field because it withstands milli-molar range concentrations of over 20 different heavy metal ions. This tolerance is mostly achieved by rapid ion efflux but also by metal-complexation and -reduction. We present here the full genome sequence of strain CH34 and the manual annotation of all its genes. The genome of C. metallidurans CH34 is composed of two large circular chromosomes CHR1 and CHR2 of, respectively, 3,928,089 bp and 2,580,084 bp, and two megaplasmids pMOL28 and pMOL30 of, respectively, 171,459 bp and 233,720 bp in size. At least 25 loci for heavy-metal resistance (HMR) are distributed over the four replicons. Approximately 67% of the 6,717 coding sequences (CDSs) present in the CH34 genome could be assigned a putative function, and 9.1% (611 genes) appear to be unique to this strain. One out of five proteins is associated with either transport or transcription while the relay of environmental stimuli is governed by more than 600 signal transduction systems. The CH34 genome is most similar to the genomes of other Cupriavidus strains by correspondence between the respective CHR1 replicons but also displays similarity to the genomes of more distantly related species as a result of gene transfer and through the presence of large genomic islands. The presence of at least 57 IS elements and 19 transposons and the ability to take in and express foreign genes indicates a very dynamic and complex genome shaped by evolutionary forces. The genome data show that C. metallidurans CH34 is particularly well equipped to live in extreme conditions and anthropogenic environments that are rich in metals.

15 October 2007 in Journal of Bacteriology
Verified
Journal Article
Closed access
SMSébAstien Monchy
SébAstien Monchy
MBMohammed A. Benotmane
Mohammed A. Benotmane
PJPaul J. Janssen
Paul J. Janssen
TVTatiana Vallaeys
Tatiana Vallaeys
STSafiyh Taghavi
Safiyh Taghavi
MMMax Mergeay
Max Mergeay
We fully annotated two large plasmids, pMOL28 (164 open reading frames [ORFs]; 171,459 bp) and pMOL30 (247 ORFs; 233,720 bp), in the genome of Cupriavidus metallidurans CH34. pMOL28 contains a backbone of maintenance and transfer genes resembling those found in plasmid pSym of C. taiwanensis and plasmid pHG1 of C. eutrophus , suggesting that they belong to a new class of plasmids. Genes involved in resistance to the heavy metals Co(II), Cr(VI), Hg(II), and Ni(II) are concentrated in a 34-kb region on pMOL28, and genes involved in resistance to Ag(I), Cd(II), Co(II), Cu(II), Hg(II), Pb(II), and Zn(II) occur in a 132-kb region on pMOL30. We identified three putative genomic islands containing metal resistance operons flanked by mobile genetic elements, one on pMOL28 and two on pMOL30. Transcriptomic analysis using quantitative PCR and microarrays revealed metal-mediated up-regulation of 83 genes on pMOL28 and 143 genes on pMOL30 that coded for all known heavy metal resistance proteins, some new heavy metal resistance proteins ( czcJ , mmrQ , and pbrU ), membrane proteins, truncated transposases, conjugative transfer proteins, and many unknown proteins. Five genes on each plasmid were down-regulated; for one of them, chrI localized on pMOL28, the down-regulation occurred in the presence of five cations. We observed multiple cross-responses (induction of specific metal resistance by other metals), suggesting that the cellular defense of C. metallidurans against heavy metal stress involves various regulons and probably has multiple stages, including a more general response and a more metal-specific response.

1 January 2006 in Research in Microbiology
Verified
Journal Article
Closed access
LHLarissa Hendrickx
Larissa Hendrickx
HWHeleen De Wever
Heleen De Wever
VHVeronik Hermans
Veronik Hermans
FMFelice Mastroleo
Felice Mastroleo
NMNicolas Morin
Nicolas Morin
MMMax Mergeay
Max Mergeay

1 April 1996 in International Journal of Systematic and Evolutionary Microbiology
Verified
Journal Article
Closed access
GHGeert Huys
Geert Huys
RCR. Coopman
R. Coopman
PJPaul J. Janssen
Paul J. Janssen
KKK. Kersters
K. Kersters
We investigated the ability of a recently developed genomic fingerprinting technique, named AFLP, to differentiate the 14 currently defined DNA hybridization groups (HGs) in the genus Aeromonas. We also determined the taxonomic positions of the phenospecies Aeromonas allosaccharophila, Aeromonas encheleia, Aeromonas enteropelogenes, and Aeromonas ichthiosmia, which have not been assigned to HGs yet. A total of 98 Aeromonas type and reference strains were included in this study. For the AFLP analysis, the total genomic DNA of each strain was digested with restriction endonucleases ApaI and TaqI. Subsequently, restriction fragments were selectively amplified under high-stringency PCR conditions. The amplification products were electrophoretically separated on a polyacrylamide gel and visualized by autoradiography. Following high-resolution densitometric scanning of the resulting band patterns, AFLP data were further processed for a computer-assisted comparison. A numerical analysis of the digitized fingerprints revealed 13 AFLP clusters which, in general, clearly supported the current Aeromonas taxonomy derived from DNA homology data. In addition, our results indicated that there is significant genotypic heterogeneity in Aeromonas eucrenophila (HG6), which may lead to a further subdivision of this species. A. allosaccharophila and A. encheleia did not represent a separate AFLP cluster but were found to be genotypically related to HG8/10 and HG6, respectively. In addition, the results of the AFLP analysis also confirmed the phylogenetic findings that A. enteropelogenes and A. ichthiosmia are in fact identical to Aeromonas trota (HG13) and Aeromonas veronii (HG8/10), respectively. The results of this study clearly show that the AFLP technique is a valuable new high-resolution genotypic tool for classification of Aeromonas species and also emphasize that this powerful DNA fingerprinting method is important for bacterial taxonomy in general.

25 June 2011 in BioMetals
Verified
Journal Article
Closed access
PDF file
PMPieter Monsieurs
Pieter Monsieurs
HMHugo Moors
Hugo Moors
Rob Van HoudtRob Van Houdt
Rob Van Houdt
PJPaul J. Janssen
Paul J. Janssen
AJAnn Janssen
Ann Janssen
NLNatalie Leys
Natalie Leys