Publications

4851

Abstract The Genome Taxonomy Database (GTDB; https://gtdb.ecogenomic.org) provides a phylogenetically consistent and rank normalized genome-based taxonomy for prokaryotic genomes sourced from the NCBI Assembly database. GTDB release 10 (R10-RS226) spans 715 230 bacterial and 17 245 archaeal genomes organized into 136 646 bacterial and 6968 archaeal species clusters. Fewer new major branches of prokaryotic life are being discovered with each release of GTDB, suggesting that we are beginning to saturate readily discoverable microbial diversity through culture-independent analyses. However, species discovery continues unabated as >95% of bacterial and archaeal species remain to be genomically elucidated based on conservative projections. We present additions to the GTDB website, methodological improvements, policy changes, notable nomenclatural updates, and user applications. We conclude with a summary of future plans for the resource including a fungal taxonomy and a nomenclatural extension to classify pathogens.

Background: Ticks are significant vectors of pathogens, and their nonpathogenic intracellular bacteria, known as endosymbionts, influence tick physiology and may interact with tick-borne pathogens. Such relationships can affect transmission dynamics and understanding them is essential for designing strategies that control tick-borne diseases and reduce their impact on human and animal health. Aim: This study aimed to determine the prevalence and density of two key endosymbiotic bacteria, Francisella-like endosymbiont (FLE) and Candidatus Midichloria mitochondrii (Ca. M. mitochondrii), and to investigate possible correlations between these symbionts and the protozoan parasite Theileria annulata in Hyalomma anatolicum ticks. Methods: Between January and October 2024, 116 ticks were collected from cattle in the Diwaniyah province, Iraq. The morphological examination was followed by molecular confirmation using mitochondrial 16S rRNA sequencing. Quantitative polymerase chain reaction was applied to detect and quantify FLE, Ca. M. mitochondrii, and T. annulata in H. anatolicum. Results: H. anatolicum was the predominant species, representing 86% of ticks, whereas H. excavatum accounted for 13%. Mitochondrial 16S rRNA sequences confirmed species identity and showed 99.48-100% similarity to reference isolates from China, Pakistan, Turkey, India, and Russia. FLE was detected in 100% of H. anatolicum, with mean loads of 7.9× 103 copies per tick. Ca. M. mitochondrii was detected in 99% of specimens, with mean loads of 3.7×102 copies per tick. FLE densities tended to be higher in females compared to males (9.7 × 10³ copies vs. 1.8 × 10³ copies) but difference was not statistically significant. Ca. M. mitochondrii loads also differed significantly (4.8 × 10² copies vs. 1.3 × 10¹ copies). T. annulata was present in all ticks, with the highest copy numbers in semi-engorged females (1.9 × 104 copies), followed by males (2.8 × 10³ copies). Our findings revealed a statistically significant association (p<0.05) between T. annulata and Ca. M. mitochondrii, whereas no significant correlation was observed between T. annulata and FLE. Conclusion: The presence of FLE and Ca. M. mitochondrii in H. anatolicum from the Diwaniyah province was documented. Evidence indicated associations between symbiont density and T. annulata infection, and the results point toward a possible role of endosymbiotic bacteria in pathogen persistence and the epidemiology of tick-borne diseases.

ABSTRACT X‐disease, caused by strains in the 16SrIII‐A subgroup of ‘ Candidatus Phytoplasma pruni’, is a devastating disease of Prunus species (stone fruits). Multiple outbreaks of this disease have occurred across much of North America for more than a century, with the most recent one beginning around 2010 in the Pacific Northwest of the United States, causing severe damage to the stone fruit industry. Sensitive and specific detection of X‐disease is critical to prevent the propagation and spread of infected plant material; however, current PCR‐based detection workflows lack specificity to X‐disease and require one or more PCR assays followed by additional testing to confirm the species identity. In this study, two real‐time PCR assays, one targeting the secY gene and the other targeting the tuf gene, were developed for specific detection of X‐disease in stone fruits. The CPH‐TXD assay targeting the tuf gene provided high‐sensitivity target detection of as few as five target copies with significantly reduced cross‐reactivity compared to current methods. The CPH‐SXD assay targeting the secY gene detected a minimum of 30 target copies and showed no cross‐reaction with closely related strains. The repeatability and reproducibility of both assays were verified with acceptable results. Together, these assays provide efficient and high‐specificity detection methods to combat the growing threat of X‐disease in North America.