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Schuler, F.

Publications and source records attributed to Schuler, F..

4 recordsLinked to original sources

A pbpB1 mutation causing β-lactam resistance in clinical Listeria monocytogenes isolates

ObjectivesListeriosis is a severe foodborne infection and associated with high mortality. Treatment is based on ampicillin, amoxicillin or penicillin, often combined with gentamicin, but meropenem is also used occasionally. {beta}-lactam resistant Listeria monocytogenes isolates are infrequently described but the mechanism of resistance is not known. MethodsA clinical L. monocytogenes isolate with suspected {beta}-lactam resistance was collected from a German listeriosis patient. Resistance profiling, whole genome sequencing, comparative genomics and genetic experiments were used to identify the causative DNA polymorphism. Spontaneous ampicillin resistant suppressors of L. monocytogenes reference strain EGD-e were selected and their genomes sequenced. ResultsA W428R substitution near the active site of penicillin binding protein B1 (PBP B1) was identified as the cause of ampicillin, amoxicillin and meropenem resistance. Further clinical L. monocytogenes isolates with similar resistance profiles were found by searching the genome database of the German consultant laboratory for Listeria for pbpB1 W428R-positive isolates. Furthermore, the same mutation was selected for in strain EGD-e during cultivation in the presence of ampicillin. ConclusionsL. monocytogenes can develop {beta}-lactam resistance by a specific substitution in PBP B1, likely selected for during {beta}-lactam treatment. Antibiotic susceptibility testing should be considered an important part of adequate listeriosis therapy.

microbiology↗

Accurate and Reproducible Whole-Genome Genotyping for Bacterial Genomic Surveillance with Nanopore Sequencing Data

Despite recent advances in error rate reduction, until recently Oxford Nanopore Technology (ONT) sequences lacked the accuracy required for fine scale bacterial genomic analysis. Here, recent software improvements of ONT and the ONT-cgMLST-Polisher within the SeqSphere+ software were evaluated. We used short-(Illumina) and long-read ONT sequences of 80 multidrug-resistant bacteria (MDROs) for benchmarking. Illumina reads were de-novo-assembled using SKESA. For ONT, Dorado super accurate (SUP) model 4.3 or 5.0 basecalled reads were assembled with Flye and then polished with Medaka v1.12 m4.3 or Medaka v2.0 bacterial methylation model. In addition, the ONT-cgMLST-Polisher was run over all assemblies. The ground truth (GT) hybrid assemblies were created using Hybracter v0.10.0. Sixteen isolates from four species out of the original 80 isolates were sent to six laboratories for a ring trial. The 80 MDROs basecalled with SUP m4.3 had an average cgMLST allele distance (AD) to the GT of 4.94 with Medaka v1.12 and 1.78 with Medaka v2.0, respectively. After further polishing the Medaka v2.0 data with the ONT-cgMLST-Polisher, the AD dropped to 0.09. Using data basecalled with SUP m5.0 with Medaka v2.0 further reduced the AD significantly to 0.04. While the ring trial data basecalled with Dorado SUP m4.3 showed more variability and insufficient results for some samples, model 5.0 data resulted in average ADs of 0.36 and 0.17 without and with the ONT-cgMLST-Polisher, respectively. In conclusion, recent ONT Dorado and Medaka models combined with the ONT-cgMLST-Polisher improved ONT sequencing accuracy and made it sufficiently reproducible for genomic surveillance of bacteria. Importance Oxford Nanopore Technologies (ONT) sequencing methodology is especially attractive for small and medium-sized laboratories due to its relatively low capital investment and price per sample consumable costs. However, until recently it lacked accuracy and reproducibility for bacterial genomic genotyping. Here, we present an evaluation of the most recent ONT bioinformatic (basecalling and polishing of consensus) improvements and a new ONT-cgMLST-Polisher tool. We demonstrate that by applying those procedures ONT whole-genome genotyping-based surveillance of bacteria is finally accurate and reproducible enough for routine application even in small laboratories

bioinformatics↗

Chronic deregulation of the spindle assembly checkpoint triggers myelosuppression and gastrointestinal atrophy

Interference with microtubule dynamics in mitosis activates the spindle assembly checkpoint (SAC) to prevent chromosome segregation errors. The SAC induces mitotic arrest by inhibiting the anaphase-promoting complex (APC) via the mitotic checkpoint complex (MCC). The MCC component MAD2 neutralises the critical APC cofactor, CDC20, preventing mitotic exit. In cancer cell lines, this can provoke apoptosis involving pro-apoptotic BCL2 family members BIM and NOXA while BCL2 overexpression blocks mitotic cell death, facilitating SAC adaptation. However, the consequences of apoptosis after SAC perturbation in vivo are unclear. By conditional MAD2 overexpression across tissues in mice, we observed that chronic SAC activation triggers bone marrow aplasia and intestinal atrophy. While myelosuppression was tolerated, gastrointestinal atrophy was detrimental. Remarkably, co-deletion of Bim/Bcl2l11, but not Bid, Puma/Bbc3 or Noxa/Pmaip, prevented developing gastrointestinal syndrome caused by chronic SAC activity, identifying BIM as rate-limiting for mitotic cell death in the gastrointestinal epithelium. In contrast, only BCL2 overexpression but none of the BH3-only protein deficiencies tested could mitigate myelosuppression, highlighting tissue and cell type-specific survival dependencies in response to SAC perturbation in vivo.

cell biology↗

Checkpoint kinase 1 is essential for fetal haematopoiesis and hematopoietic stem cell survival

Checkpoint kinase 1 is critical for S-phase fidelity and preventing premature mitotic entry in the presence of DNA damage. Tumour cells have developed a strong dependence on CHK1 for survival and hence this kinase has developed into a popular drug-target. Chk1-deficiency in mice results in blastocyst death due to G2/M checkpoint-failure showing that it is an essential gene and may be difficult to target therapeutically without side-effects. Here, we show that chemical inhibition of CHK1 kills murine hematopoietic stem and progenitor cells (HSPCs) as well as human CD34+ HSPCs by the induction of BCL2-regulated but p53-independent apoptosis. Moreover, Chk1 is essential for stem cell survival and definite hematopoiesis in the mouse embryo. Remarkably though, cell death inhibition in hematopoietic stem cells (HSC) cannot restore blood cell formation in utero as Chk1 loss causes severe DNA damage that ultimately prevents HSC expansion. Our findings establish a previously unrecognized role for CHK1 in establishing hematopoiesis; they also suggest adverse effects of therapeutic CHK1-inhibtion, particularly under conditions forcing stem cells out of dormancy, such as chemotherapy-induced myelosuppression.

developmental biology↗