Maxim Messerer

Dr. Maxim Messerer

orcid

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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11 March 2020 in Nature
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JMJulia Mergner
Julia Mergner
MFMartin Frejno
Martin Frejno
MLMarkus List
Markus List
MPMichael Papacek
Michael Papacek
XCXia Chen
Xia Chen
BKBernhard Kuster
Bernhard Kuster

1 October 2018 in Current Biology
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Journal Article
Closed access
JBJennifer Böhm
Jennifer Böhm
MMMaxim Messerer
Maxim Messerer
HMHeike M. Müller
Heike M. Müller
JSJoachim Scholz-Starke
Joachim Scholz-Starke
AGAntonella Gradogna
Antonella Gradogna
RHRainer Hedrich
Rainer Hedrich

23 November 2011 in Molecular Microbiology
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Journal Article
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EKEmanuel Katzmann
Emanuel Katzmann
FMFrank D. Müller
Frank D. Müller
CLClaus Lang
Claus Lang
MMMaxim Messerer
Maxim Messerer
MWMichael Winklhofer
Michael Winklhofer
DSDirk Schüler
Dirk Schüler

20 October 2018 in BMC Infectious Diseases
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AZAhmed Zeynudin
Ahmed Zeynudin
MPMichael Pritsch
Michael Pritsch
SSSören Schubert
Sören Schubert
MMMaxim Messerer
Maxim Messerer
GLGabriele Liegl
Gabriele Liegl
AWAndreas Wieser
Andreas Wieser
The prevalence of extended-spectrum β-lactamases (ESBLs) have been reported in clinical isolates obtained from various hospitals in Ethiopia. However, there is no data on the prevalence and antibiotic susceptibility patterns of CTX-M type ESBL produced by Gram-negative bacilli. The aim of this study was to determine the frequency and distribution of the blaCTX-M genes and the susceptibility patterns in ESBL producing clinical isolates of Gram-negative bacilli in Jimma University Specialized Hospital (JUSH), southwest Ethiopia. A total of 224 non-duplicate and pure isolates obtained from clinically apparent infections, were included in the study. Identification of the isolates was performed by MALDI-TOF mass spectrometry. Susceptibility testing and ESBL detection was performed using VITEK® 2, according to EUCAST v4.0 guidelines. Genotypic analysis was performed using Check-MDR CT103 Microarrays. Of the total 112 (50.0%) isolates screen positive for ESBLs, 63.4% (71/112) tested positive for ESBL encoding genes by Check-MDR array, which corresponds to 91.8% (67/73) of the total Enterobacteriaceae and 10.3% (4/39) of nonfermenting Gram-negative bacilli. Among the total ESBL gene positive isolates, 95.8% (68/71) carried blaCTX-M genes with CTX-M group 1 type15 being predominant (66/68; 97.1% of CTX-M genes). The blaCTX-M carrying Enterobacteriaceae (n = 64) isolates showed no resistance against imipenem and meropenem and a moderate resistance rate against tigecycline (14.1%), fosfomycin (10.9%) and amikacin (1.6%) suggesting the effectiveness of these antibiotics against most isolates. On the other hand, all the blaCTX-M positive Enterobacteriaceae showed a multidrug resistant (MDR) phenotype with remarkable co-resistances (non-susceptibility rates) to aminoglycosides (92.2%), fluoroquinolones (78.1%) and trimethoprim/sulfamethoxazol (92.2%). This study demonstrates a remarkably high prevalence of blaCTX-M genes among ESBL-producing isolates. The high level of resistance to β-lactam and non-β-lactam antibiotics as well as the trend to a MDR profile associated with the blaCTX-M genes are alarming and emphasize the need for routine diagnostic antimicrobial susceptibility testing for appropriate choice of antimicrobial therapy.

21 July 2017 in PLOS ONE
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MMMaxim Messerer
Maxim Messerer
WFWolfgang Fischer
Wolfgang Fischer
SSSören Schubert
Sören Schubert
Horizontal gene transfer (HGT) contributes to the evolution of bacteria. All extraintestinal pathogenic Escherichia coli (ExPEC) harbour pathogenicity islands (PAIs), however relatively little is known about the acquisition of these PAIs. Due to these islands, ExPEC have properties to colonize and invade its hosts efficiently. Even though these PAIs are known to be acquired by HGT, only very few PAIs do carry mobilization and transfer genes required for the transmission by HGT. In this study, we apply for the first time next-generation sequencing (NGS) and in silico analyses in combination with in vitro experiments to decipher the mechanisms of PAI acquisition in ExPEC. For this, we investigated three neighbouring E. coli PAIs, namely the high-pathogenicity island (HPI), the pks and the serU island. As these PAIs contain no mobilization and transfer genes, they are immobile and dependent on transfer vehicles. By whole genome sequencing of the entire E. coli reference (ECOR) collection and by applying a phylogenetic approach we could unambiguously demonstrate that these PAIs are transmitted not only vertically, but also horizontally. Furthermore, we could prove in silico that distinct groups of PAIs were transferred "en bloc" in conjunction with the neighbouring chromosomal backbone. We traced this PAI transfer in vitro using an F' plasmid. Different lengths of transferred DNA were exactly detectable in the sequenced transconjugants indicating NGS as a powerful tool for determination of PAI transfer.

9 October 2020 in Scientific Data
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JMJulia Mergner
Julia Mergner
MFMartin Frejno
Martin Frejno
MMMaxim Messerer
Maxim Messerer
DLDaniel Lang
Daniel Lang
PSPatroklos Samaras
Patroklos Samaras
BKBernhard Kuster
Bernhard Kuster
Plant growth and development are regulated by a tightly controlled interplay between cell division, cell expansion and cell differentiation during the entire plant life cycle from seed germination to maturity and seed propagation. To explore some of the underlying molecular mechanisms in more detail, we selected different aerial tissue types of the model plant Arabidopsis thaliana, namely rosette leaf, flower and silique/seed and performed proteomic, phosphoproteomic and transcriptomic analyses of sequential growth stages using tandem mass tag-based mass spectrometry and RNA sequencing. With this exploratory multi-omics dataset, development dynamics of photosynthetic tissues can be investigated from different angles. As expected, we found progressive global expression changes between growth stages for all three omics types and often but not always corresponding expression patterns for individual genes on transcript, protein and phosphorylation site level. The biggest difference between proteomic- and transcriptomic-based expression information could be observed for seed samples. Proteomic and transcriptomic data is available via ProteomeXchange and ArrayExpress with the respective identifiers PXD018814 and E-MTAB-7978.