
Mechthild Pohlschroder
VerifiedUniversity of Pennsylvania · Infection and Immunity
Active 1995–2026
About
Mechthild Pohlschroder is a faculty member in the Biomedical Graduate Studies at the Perelman School of Medicine at the University of Pennsylvania. Her research focuses on prokaryotic cell surface biogenesis and function, particularly in archaea and bacteria. Using the model archaeon Haloferax volcanii, her lab employs molecular biology, biochemistry, microscopy, RNAseq, and other cutting-edge technologies to characterize archaeal cell surface biology, including cell envelope functions, surface structures, and protein transport mechanisms. Her work has advanced the understanding of conserved pathways such as the Sec and Tat pathways, and uncovered unique archaeal surface anchoring strategies and membrane mechanisms conserved between archaea and bacteria. Her research also explores the roles of archaeal surface filaments and type IV pilins in biofilm formation and cell motility. She has contributed to the development of software programs to predict substrates involved in transport and cell surface anchoring pathways. Her lab's studies have provided insights into archaeal surface biology, protein secretion, and the molecular mechanisms underlying cell stability, motility, and adherence in prokaryotes.
Research topics
- Biology
- Cell biology
- Computational biology
- Biochemistry
- Genetics
Selected publications
Zenodo (CERN European Organization for Nuclear Research) · 2026-01-01
datasetOpen accessSenior authorThis dataset includes the custom Python pipelines used for proteomics data filtering and figure generation, as well as raw and processed qPCR data, accompanying the manuscript submission "Characterization of aliA and aliB deletion mutants reveals a dominant role of AliA in Haloferax volcanii lipoprotein lipidation". This dataset can be used to reproduce the results described in the manuscript.
Open MIND · 2026-01-01
datasetSenior authorThis dataset includes the custom Python pipelines used for proteomics data filtering and figure generation, as well as raw and processed qPCR data, accompanying the manuscript submission "Characterization of aliA and aliB deletion mutants reveals a dominant role of AliA in Haloferax volcanii lipoprotein lipidation". This dataset can be used to reproduce the results described in the manuscript.
Research Square · 2026-03-13
preprintOpen accessSenior authorOpen MIND · 2026-02-16
datasetSenior authorRaw LC-MS data for the paper "AliA and AliB exhibit distinct enzymatic activities in lipoprotein lipidation in the model archaeon Haloferax volcanii". Includes both core lipid data and methyl-iodide treated lipoprotein extract data for the YH_57 (∆aliB) and YH_113 (∆aliA) strains. Data for the parental strain (H53) and double deletion strain (∆aliA∆aliB) are provided in a separate deposit: https://doi.org/10.25740/vq241jx8767.
bioRxiv (Cold Spring Harbor Laboratory) · 2026-03-11
articleOpen accessSenior authorCorrespondingABSTRACT Protein lipidation is a widespread strategy for anchoring proteins to cellular membranes across all domains of life, yet the mechanisms underlying this process in archaea remain poorly understood. Recently, the first archaeal enzymes involved in lipobox-containing protein (lipoprotein) biogenesis, AliA and AliB, were identified and characterized in the model archaeon Haloferax volcanii . Although these paralogs share significant sequence similarity, distinct deletion phenotypes suggest differences in their substrate specificity and function. Here, we employed large-scale Triton X-114 fractionation followed by quantitative proteomics and lipid-specific mass spectrometry to systematically analyze AliA- and AliB-dependent lipoprotein lipidation. Deletion of aliA affected substantially more lipoproteins in Hfx. volcanii than deletion of aliB , markedly diminishing their TX-114 enrichment—indicating reduced hydrophobicity—and abolishing thioether-linked archaeol modification. This establishes AliA as the primary enzyme responsible for archaeal lipoprotein lipidation. In contrast, deletion of aliB affected only a small subset of lipoproteins and did not significantly reduce thioether-linked archaeol levels. In addition to defining distinct and non-redundant roles for AliA and AliB, this study provides the first large-scale experimental validation of predicted archaeal lipoproteins and identifies candidate components of the archaeal lipoprotein biogenesis pathway, substantially advancing mechanistic understanding and enabling improved lipoprotein prediction in this previously underexplored field.
Zenodo (CERN European Organization for Nuclear Research) · 2026-01-10
datasetOpen accessThis dataset contains the following supplemental data associated with the manuscript "Revisiting protein glycosylation in Pseudomonas aeruginosa reveals distinct phenotypes in motility and biofilm formation for different O-glycosylation pathway mutants": whole genome sequencing data of fgtA (CW1, CW2) and wbpL (CW5, CW8) deletion mutants CLSM imaging data of all analyzed strains
Zenodo (CERN European Organization for Nuclear Research) · 2026-04-22
datasetOpen accessSenior authorThis repository contains materials to accompany the manuscript “A Two-Component Regulatory System Mediates Quorum Sensing–Dependent Morphology and Motility Transitions in the Archaeon Haloferax volcanii” and can be used to reproduce the results described in the study.
Zenodo (CERN European Organization for Nuclear Research) · 2026-01-10
datasetOpen accessThis dataset contains the following supplemental data associated with the manuscript "Revisiting protein glycosylation in Pseudomonas aeruginosa reveals distinct phenotypes in motility and biofilm formation for different O-glycosylation pathway mutants": whole genome sequencing data of fgtA (CW1, CW2) and wbpL (CW5, CW8) deletion mutants CLSM imaging data of all analyzed strains
Abstract 2725 The Chemistry of Community
Journal of Biological Chemistry · 2025-05-01
articleOpen access1st authorCorrespondingA culturally aware scientific workforce is essential to addressing critical global challenges such as public health crises and climate change, while also rebuilding trust with marginalized communities. Mentorship that builds connections through shared passion is key to developing such a workforce in the realm of STEM. By doing so, we incorporate multiple cultural and intellectual perspectives to prepare the next generation of scientists for real world application of STEM beyond a sterile lab. Penn's First Exposure to Research in the Biological Sciences (PennFERBS) program, recruits high-achieving undergraduate students and immerses them in cutting-edge research and community partnership initiatives, highlighting the invaluable contributions of diverse scientists in STEM.
mBio · 2025-06-18 · 5 citations
articleOpen accessSenior authorABSTRACT Quorum sensing (QS) is a population density-dependent mechanism of intercellular communication, whereby microbes secrete and detect signals to regulate behaviors such as virulence and biofilm formation. Although QS is well-studied in bacteria, little is known about cell-cell communication in archaea. The model archaeon Haloferax volcanii can transition from motile rod-shaped cells to non-motile disks as population density increases. In this report, we demonstrate that this transition is induced by a secreted small molecule present in cell-free conditioned medium (CM). The CM also elicits a response from a bacterial QS bioreporter, suggesting the potential for inter-domain crosstalk. To investigate the Hfx. volcanii QS response, we performed quantitative proteomics and detected significant differential abundances of 236 proteins in the presence of CM, including proteins involved in cell structure, motility, glycosylation, and two-component systems. We also demonstrate that a mutant lacking the cell shape regulatory factor DdfA does not undergo shape and motility transitions in the presence of CM, allowing us to identify protein abundance changes in the QS response pathway separate from those involved in shape and motility. In the ∆ ddfA strain, only 110 proteins had significant differential abundance, and comparative analysis of these two proteomics experiments enabled us to identify proteins dependent on and independent of DdfA in the QS response pathway. Our study provides the first detailed analysis of QS pathways in any archaeon, strengthening our understanding of archaeal communication as well as providing the framework for studying intra- and interdomain crosstalk. IMPORTANCE Understanding the complex signaling networks in microbial communities has led to many invaluable applications in medicine and industry. Yet, while archaea are ubiquitous and play key roles in nutrient cycling, little is known about the roles of archaeal intra- and interspecies cell-cell communication in environments such as the human, soil, and marine microbiomes. In this study, we established the first robust system for studying quorum sensing in archaea by using the model archaeon Haloferax volcanii . We demonstrated that different behaviors, such as cell shape and motility, are mediated by a signal molecule, and we uncovered key regulatory components of the signaling pathway. This work advances our understanding of microbial communication, shedding light on archaeal intra- and interdomain interactions, and contributes to a more complete picture of the interconnected networks of life on Earth.
Recent grants
NSF · $946k · 2018–2022
Archaeal Sec-Dependent Protein Translocation
NSF · $343k · 2003–2007
Archaeal Sec-Dependent Protein Translocation
NSF · $456k · 2007–2012
Elucidating the mechanisms of morphological plasticity in archaea
NSF · $1.2M · 2022–2026
A Novel Anchoring Mechanism for Prokaryotic Surface Proteins
NSF · $742k · 2014–2018
Frequent coauthors
- 33 shared
Stefan Schulze
Rochester Institute of Technology
- 24 shared
Wailap Victor Ng
National Yang Ming Chiao Tung University
- 24 shared
Leroy Hood
Institute for Systems Biology
- 24 shared
Stephen R. Lasky
- 24 shared
Gregory G. Mahairas
- 24 shared
Min Pan
Guangzhou Medical University
- 24 shared
Vésteinn Thórsson
- 24 shared
Young Ah Goo
James S. McDonnell Foundation
Labs
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