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Kay Nieselt

Publications and source records attributed to Kay Nieselt.

2 recordsLinked to original sources

A new highly discriminatory typing scheme for Treponema pallidum reveals similar levels of genetic variability across lineages.

UNLABELLED: The global resurgence of treponematoses, particularly syphilis, poses a growing public health challenge. Despite advances in sequencing technologies, obtaining complete Treponema pallidum genome sequences for epidemiological studies remains challenging due to clinical sampling and methodological constraints. There is, therefore, a need for rapid, cost-effective, and accessible typing methods. Based on the analysis of 121 T. pallidum genomes spanning all three subspecies (TPA, TPE, and TEN) from diverse regions, we selected seven highly variable genes (tp0136, tp0326, tp0548, tp0705, tp0858, tp0865, and tp1031) to form a new typing system, combined with analysis of macrolide resistance mutations in the 23S rRNA gene. The scheme was validated on 542 global T. pallidum samples, using either Sanger reads or whole genome sequence data, obtaining 82 sequence types (STs) among the 415 fully typed samples. Macrolide resistance mutations were frequently detected, highlighting the need for ongoing epidemiological surveillance. Phylogenetic analyses based on concatenated multilocus typing (MLST) loci recovered the expected subspecies and lineage structure. Consistently, almost all sequence types formed monophyletic groups, indicating strong concordance between MLST-based classification and whole-genome phylogenies. In addition, population genetic analyses revealed comparable levels of within-lineage diversity across subspecies and lineages, despite pronounced differences in geographic distribution, and identified distinct regional genetic clusters consistent with localized transmission dynamics. Importantly, the scheme employs a single-step PCR for all seven targets, facilitating implementation in standard laboratories and is publicly accessible through PubMLST. Overall, our novel MLST scheme offers a rapid, cost-effective tool to advance molecular epidemiology of T. pallidum, facilitate transmission and resistance tracking, and support global surveillance to strengthen public health interventions for syphilis and endemic treponematoses control. IMPORTANCE: We have developed a new multilocus typing (MLST) scheme useful for all Treponema pallidum lineages after the analysis of 121 complete genome sequences of this species. The new scheme can be used directly with uncultured clinical samples, thus providing an excellent contribution to the molecular surveillance of syphilis and other treponematoses. The application of this MLST scheme to over 500 samples from all lineages and main geographical regions has revealed similar levels of genetic variation within them. Furthermore, the analyses show a complex pattern of spread, with global and local contributions to the observed distribution of genetic variation in the syphilis-producing sublineages. The new scheme represents a significant improvement over previous proposals and also reveals unsuspected levels of variability in T. pallidum lineages.

Treponema pallidum↗

DIALIGN P: fast pair-wise and multiple sequence alignment using parallel processors.

BACKGROUND: Parallel computing is frequently used to speed up computationally expensive tasks in Bioinformatics. RESULTS: Herein, a parallel version of the multi-alignment program DIALIGN is introduced. We propose two ways of dividing the program into independent sub-routines that can be run on different processors: (a) pair-wise sequence alignments that are used as a first step to multiple alignment account for most of the CPU time in DIALIGN. Since alignments of different sequence pairs are completely independent of each other, they can be distributed to multiple processors without any effect on the resulting output alignments. (b) For alignments of large genomic sequences, we use a heuristics by splitting up sequences into sub-sequences based on a previously introduced anchored alignment procedure. For our test sequences, this combined approach reduces the program running time of DIALIGN by up to 97%. CONCLUSIONS: By distributing sub-routines to multiple processors, the running time of DIALIGN can be crucially improved. With these improvements, it is possible to apply the program in large-scale genomics and proteomics projects that were previously beyond its scope.

Computational Biology↗