Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.10.28.685243

Species identification and genotyping of Citrobacter spp. using genes with high nucleotide diversity.

Abstract

Citrobacter spp. are facultative anaerobic Gram-negative bacillus found in a wide range of habitats. Recently, there have been reports of an increasing number of cases of Citrobacter spp. being the cause of nosocomial infections, and of increasing highly antimicrobial-resistant (AMR) Citrobacter spp. In clinical laboratory testing, Citrobacter spp., such as C. freundii and C. braakii, are handled collectively as the C. freundii complex. This can be obstacle to collect information regarding species identification and genetic lineage which are necessary for estimating distribution mechanism and evaluating AMR degree for each Citrobacter species. This study investigated gene combinations that allow for Citrobacter spp. identification and genetic lineage estimation with as few genes as possible. Citrobacter genomes of 18 species were collected as many as possible from GenBank. After the gene annotation, nucleotide diversity of 1,113 genes contained in all 453 genomes was calculated. Genotypes of top seven highest nucleotide diversity (HND) genes were confirmed and investigated their distributions among Citrobacter genomes. Except for C. werkmanii and C. cronae, it was suggested that the genotype of the top HND gene, groups_3152, and combinations of the genotypes of the top two HND genes were a species- and genetic lineage-specific distribution, respectively. Considering that the genomes of C. werkmanii and C. cronae were highly similar and indistinguishable each other by conventional genotyping methods, it was suggested that the combination of the top two HND genes could be used to Citrobacter spp. identification and genetic lineage classification. Importance StatementMolecular epidemiology of individual Citrobacter species has not been widely performed, partly because Citrobacter spp. are handled as the C. freundii complex in the clinical testing and the multi-locus sequencing typing (MLST) has been performed targeting the entire genus Citrobacter. This study proposed a combination of two genes for identification of Citrobacter spp. and classify their genetic lineages. Currently, phylogenetic tree analysis has become possible using core-genome MLST and core-genome single nucleotide polymorphisms (SNPs) after whole genome sequencing (WGS) of bacterial isolates. But these phylogenetic analyses require a considerable amount of cost. In this regard, using two genes for Citrobacter species identification and genetic lineage classification reduces the required cost compared to WGS, encouraging its introduction into clinical testing and further performing molecular epidemiology of individual Citrobacter species.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Yagi, N., Nashiro, R., Hirai, I.. 2025-10-29. Species identification and genotyping of Citrobacter spp. using genes with high nucleotide diversity.. https://doi.org/10.1101/2025.10.28.685243

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

SPACE-Tag Enables High-Throughput Spatial Chromatin Profiling With CUT&Tag

Spatial epigenomics maps chromatin states within intact tissues, yet current methods remain limited by accessibility and scale. We developed SPACE-Tag, a spatial CUT&Tag framework that converts epigenetic marks-associated DNA into polyadenylated RNA through T7 based linear amplification, enabling direct integration with standard spatial transcriptomic workflows. Applied to the mouse brain, SPACETag resolved activating and repressive chromatin landscapes, recovered region-specific gene regulatory programs across anatomical domains, and showed strong correlation with existing bulk and single cell reference data. We generated an integrated multimodal atlas of the aging mouse brain, profiling five histone modifications and the transcriptome in parallel across the adult lifespan to establish the largest spatial multimodal dataset to date. This analysis uncovered sharp regional divergence with aging in the brain: fiber tracts showed widespread transcriptional downregulation, often without nearby chromatin state transitions, whereas the isocortex showed coordinated chromatin transcriptome changes, including an H3K4me1 peak module that increased with age, was enriched at super-enhancers and linked to upregulation of neuronal plasticity regulators. These findings highlight the power of multimodal and high throughput spatial genomics in uncovering the divergent regulatory logic that governs tissue-specific vulnerability and resilience in the aging brain.

genomics↗

Long-read DNA sequencing reveals global hypomethylation and focal hypermethylation in SDHx-deficient pheochromocytoma and paraganglioma

Pheochromocytomas and paragangliomas (PPGL) are highly heritable neuroendocrine tumors of the autonomic ganglia. Genomic DNA in most cancer cells is hypomethylated. However, DNA in PPGLs secondary to mutations in succinate dehydrogenase complex (SDHx) genes is reportedly hypermethylated due to succinate-mediated inhibition of DNA demethylases. We used nanopore long-read sequencing to characterize the methylome of tumor and white blood cell DNA from SDHx and non-SDHx PPGL patients, alongside normal adrenal medulla. We find that both SDHx and non-SDHx PPGLs are globally hypomethylated, particularly at centromeres. In normal adrenal medulla, CpG islands marked by H3K4 methylation are hypomethylated, whereas CpG islands lacking H3K4 methylation are hypermethylated. In SDHx-related PPGL, some H3K4me-marked CpG islands are hypermethylated, but most are not. We propose that DNA methylation in SDHx-related PPGL reflects the global hypomethylation generally observed in tumors, partly offset by succinate-mediated inhibition of TET DNA demethylases. Opposing effects of succinate may alter the balance between DNA methylation (indirect inhibition of the DNMT3A/B DNA methylases via inhibition of H3K4me demethylases) and DNA demethylation (inhibition of TET DNA demethylases) at active CpG islands.

genomics↗

High piRNA abundance is a hallmark of evolutionarily persistent piRNA-producing loci.

PIWI-interacting RNAs (piRNAs) silence transposons in the germline, and the loci that produce them diverge rapidly between species. Yet, some loci retain both their genomic location and their piRNA production across large evolutionary distances, and the basis for this conservation is unclear. To identify the features that distinguish these persistent loci, we compared piRNA production at orthologous loci in three closely related mouse species, contrasting loci that produce piRNAs in all three species with those that do so in only one. Transposon content and UTR features, often linked to piRNA production, did not distinguish the two groups. Transcription extending beyond gene ends (readthrough) was more frequent at conserved loci, but did not explain conservation once the amount of piRNAs produced was taken into account. Instead, we found that the conserved loci are those that produce the most piRNAs. The same association holds true in human and two other primate species. We speculate that most piRNAs expressed in testis are tolerated molecular noise, and that only the highly expressed minority are likely to be functional.

genomics↗