Strains MS455 and MS389, endophytic bacteria, were isolated from healthy soybean plant growing adjacent to a patch of plants affected by charcoal rot disease, caused by the fungal pathogen Macrophomina phaseolina. The complete genomes of both strains were sequenced and identified as Burkholderia species Strain MS455 exhibits broad-spectrum antifungal activities against economically important pathogens, including Aspergillus flavus. Random and site-specific mutations were employed in discovery of the genes that share high homology to the ocf gene cluster of Burkholderia contaminans strain MS14, which is responsible for production of the antifungal compound occidiofungin. RNA-seq analysis demonstrated ORF1, a homolog to the ambR1 LuxR-type regulatory gene, not only regulates occidiofungin biosynthesis in MS455, but also involved in expression of multiple genes, especially those involved in ornibactin biosynthesis. Plate and corn kernel assays showed that growth of A. flavus and aflatoxin production were reduced significantly by MS455 as compared with buffer control and the ORF1 mutant. Strain MS389 shows significant antifungal and antibacterial activities as well. Mutagenesis study identified that the TatC gene, an important unit of twin-arginine translocase (Tat) secretion system, and the LysR-type transcriptional regulatory gene were essential for the antifungal activity of strain MS389. RNA-seq analysis implied that the pyrrolnitrin biosynthesis gene cluster and an uncharacterized NRPS / PKS gene cluster were involved in antifungal activity. By comparing several endophytic bacteria of Burkholderia, including MS455 and MS389, to pathogenic Burkholderia species, endophytic bacteria were observed to harbor multiple antimicrobial biosynthesis genes but lack certain pathogenic or virulence genes. The potential endophytic behavior related genes and characteristics related to antibiotic resistance, secretion system, and CRISPR-Cas profiles were well established. The research findings on strains MS455 and MS389 have provided important genetic clues for understanding their molecular mechanism of antimicrobial activities and exhibited their potential possibility as biocontrol agents.

付記する学位プログラム名: 霊長類学・ワイルドライフサイエンス・リーディング大学院 / 京都大学 / 新制・課程博士 / 博士(理学) / 甲第24471号 / 理博第4970号 / 新制||理||1709(附属図書館) / 京都大学大学院理学研究科生物科学専攻 / (主査)教授 村山 美穂, 教授 伊谷 原一, 教授 平田 聡 / 学位規則第4条第1項該当 / Doctor of Science / Kyoto University / DGAM

In early 2020 the World Health Organization (WHO) declared a COVID-19 pandemic outbreak. As of March 2023, the Kingdom of Saudi Arabia has reported over 829 thousand cases and over 9 thousand deaths. Due to the public health emergency, the wild-type SARS-CoV-2 genome was fully sequenced early on the pandemic course. Afterward, different viral variants emerged around the world. The variant prevalence fluctuates over time, with some strains presenting increased transmissibility, changes in disease severity, and decreased efficacy of containment measures. In this respect, genomic surveillance and timely data sharing to public repositories represent a tool to track and detect emerging changes that require addressing with public health measurements. However, the Kingdom's genome contribution to the GISAID database represents merely 0.27% of the reported cases. To address this gap, we incorporated whole genome sequencing and the available metadata, to track the circulating viral lineages and identify the variants of concern (VOC) and variants of interest (VOI) over 14 months, from December 2021 to January 2023. We sequenced 581 genomes using the MinION MK1C platform of Oxford Nanopore Technologies (ONT) and assigned the viral lineages, the data primarily derived from COVID-19-positive patients from the city of Jeddah. The VOC Omicron was the principal circulating variant in the country (~99%), which aligns with the global trend. Our report included the sublineages BA.2.75, BQ.1, CH.1.1, XBB, and XBB.1.5, which are under WHO monitoring. We also reported the VOC Delta and the recombinant strains XF, XZ, and XPB. Finally, to validate the use of ONT for genomic surveillance, we compared the data quality of 93 samples sequenced in both ONT MinION and Illumina NaovaSeq platforms. There was 90% correspondence in the Nextstrain clade assignment (84/93) and 78% correspondence in the Pangolin sublineage assignment (73/93). MinION offered a shorter turnaround time, while Illumina produced a consistently higher breadth of genome coverage. In conclusion, the continued viral evolution patterns are reflected in the Kingdom's variant prevalence, where only Omicron circulated by January 2023. Likewise, current Variants Under Monitoring (VUM) were already identified in KSA, highlighting the need for increased genomic surveillance.

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Avian pathogenic Escherichia. coli (APEC) and Campylobacter are pathogenic threats to poultry and human health, respectively. In this study, the prevalence of these pathogens in Mississippi broilers and their antimicrobial resistance (AMR) properties were investigated, and a multidrug-resistant APEC strain (APEC-O2-MS1170) was further explored by whole-genome sequencing (WGS). The efficacy of in ovo injection of Lactobacillus in reducing the APEC in broilers was evaluated. Results revealed a high prevalence of APEC and Campylobacter in broilers and broiler products. A lot of isolates were resistant to antibiotics of different sorts. Moreover, the in ovo administration of Lactobacillus did not reduce the incidence of APEC. The WGS of APEC-O2-MS1170 revealed its detailed AMR and virulence properties and alerted a potential zoonotic risk. In conclusion, the Lactobacillus did not reduce the incidence of APEC in broilers, and the prevalence and AMR of APEC and Campylobacter are still challenges faced by the poultry industry.

This research investigates the application of machine learning techniques in computational genomics across two distinct domains: (1) the predicting the source of bacterial pathogen using whole genome sequencing data, and (2) the functional annotation of genes using single- cell RNA sequencing data. This work proposes the development of a bioinformatics pipeline tailored for identifying genomic variants, including gene presence/absence and single nu- cleotide polymorphism. This methodology is applied to specific strains such as Salmonella enterica serovar Typhimurium and the Ralstonia solanacearum species complex. Phylo- genetic analyses along with pan-genome and positive selection studiesshow that genomic variants and evolutionary patterns of S. Typhimurium vary across sources, which suggests that sources can be accurately attributed based on genomic variants empowered by machine learning. We benchmarked seven traditional machine learning algorithms, achieving a no- table accuracy of 94.6% in host prediction for S. Typhimurium using the Random Forest model, underscored by SHAP value analyses which elucidated key predictive features. Next, the focus is shifted to the prediction of Gene Ontology terms for Arabidopsis genes using single-cell RNA-seq data. This analysis offers a detailed comparison of gene expression in root versus shoot tissues, juxtaposed with insights from bulk RNA-seq data. The integration of regulatory network data from DAP-seq significantly enhances the prediction accuracy of gene functions. / Master of Science / This work applies machine learning techniques to two areas in computational biology: pre- dicting the hosts of bacterial pathogens based on their genome data, and predicting the func- tions of plant genes using single-cell gene expression data. The first part develops a method to analyze genome sequences from bacterial pathogens like Salmonella enterica serovar Ty- phimurium and the Ralstonia solanacearum species complex, identifying genomic variants, including gene presence/absence and single nucleotide polymorphism, which are variations in genetic code. By studying the evolutionary relationships and genetic diversity among dif- ferent strains, the motivation for using machine learning models to predict the sources (e.g., poultry, swine) of the pathogen genomes is established. Several machine learning models are then trained on these datasets, and the most important factors contributing to the predic- tions are identified. The second part focuses on predicting the functions of genes in the model plant species Arabidopsis thaliana using the gene expression data measured at the single-cell level to train machine learning models for identifying standardized gene function descrip- tions called Gene Ontology (GO) terms. By comparing results from single-cell and bulk tissue data, the study evaluates whether the higher resolution of single-cell data improves gene function prediction accuracy. Additionally, by incorporating information about gene regulation from a specialized experiment, the role of gene expression control in determining gene functions is explored.

Yes / Aeromonas hydrophila has emerged worldwide as a human pathogen. Here, we report the draft whole-genome sequence of a freshwater isolate from Malaysia, A. hydrophila strain M062, and its N-acylhomoserine lactone genes are also reported here. / University of Malaya via High-Impact Research Grants (UM C/625/1/HIR/MOHE/CHAN/01, no. A-000001- 50001), and aUM-MOHEHIR grant (UM C/625/1/HIR/MOHE/CHAN/ 14/1, no. H-50001-A000027)

Yes / Trypanosomes cause a variety of diseases in man and domestic animals in Africa, Latin America, and Asia. In the Trypanozoon subgenus, Trypanosoma brucei gambiense and Trypanosoma brucei rhodesiense cause human African trypanosomiasis, whereas Trypanosoma brucei brucei, Trypanosoma evansi, and Trypanosoma equiperdum are responsible for nagana, surra, and dourine in domestic animals, respectively. The genetic relationships between T. evansi and T. equiperdum and other Trypanozoon species remain unclear because the majority of phylogenetic analyses has been based on only a few genes. In this study, we have conducted a phylogenetic analysis based on genome-wide SNP analysis comprising 56 genomes from the Trypanozoon subgenus. Our data reveal that T. equiperdum has emerged at least once in Eastern Africa and T. evansi at two independent occasions in Western Africa. The genomes within the T. equiperdum and T. evansi monophyletic clusters show extremely little variation, probably due to the clonal spread linked to the independence from tsetse flies for their transmission. / Funding was received from the Research Foundation Flanders (FWO, grants 1501413N and 1101614N) and the European DG Health and Food Safety (SANTE). We thank the Center of Medical Genetics at the University of Antwerp for hosting the NGS facility.

Yes / Background: Tracking recent transmission is a vital part of controlling widespread pathogens such as Mycobacterium tuberculosis. Multiple methods with specific performance characteristics exist for detecting recent transmission chains, usually by clustering strains based on genotype similarities. With such a large variety of methods available, informed selection of an appropriate approach for determining transmissions within a given setting/time period is difficult. Methods: This study combines whole genome sequence (WGS) data derived from 324 isolates collected 2005–2010 in Kinshasa, Democratic Republic of Congo (DRC), a high endemic setting, with phylodynamics to unveil the timing of transmission events posited by a variety of standard genotyping methods. Clustering data based on Spoligotyping, 24-loci MIRU-VNTR typing, WGS based SNP (Single Nucleotide Polymorphism) and core genome multi locus sequence typing (cgMLST) typing were evaluated. Findings: Our results suggest that clusters based on Spoligotyping could encompass transmission events that occurred almost 200 years prior to sampling while 24-loci-MIRU-VNTR often represented three decades of transmission. Instead, WGS based genotyping applying low SNP or cgMLST allele thresholds allows for determination of recent transmission events, e.g. in timespans of up to 10 years for a 5 SNP/allele cut-off. Interpretation: With the rapid uptake of WGS methods in surveillance and outbreak tracking, the findings obtained in this study can guide the selection of appropriate clustering methods for uncovering relevant transmission chains within a given time-period. For high resolution cluster analyses, WGS-SNP and cgMLST based analyses have similar clustering/timing characteristics even for data obtained from a high incidence setting. / ERC grant [INTERRUPTB; no. 311725] to BdJ, FG and CJM; an ERC grant to TS [PhyPD; no. 335529]; an FWO PhD fellowship to PM [grant number 1141217N]; the Leibniz Science Campus EvolLUNG for MM and SN; the German Centre for Infection Research (DZIF) for TAK, MM, CU, PB and SN; a SNF SystemsX grant (TBX) to JP and TS and a Marie Heim-Vögtlin fellowship granted to DK by the Swiss National Science Foundation. The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government – department EWI.

Yes / We investigated whether companion drug resistance was associated with adverse outcome of the shorter MDR-TB regimen in Bangladesh, after adjusting for fluoroquinolone resistance. MDR/RR-TB patients registered for treatment with a standardized gatifloxacin-based shorter MDR-TB regimen were selected for the study. Drug resistance was determined using the proportion method, gatifloxacin and isoniazid minimum inhibitory concentration testing for selected isolates, and whole genome sequencing. Low-level and high-level fluoroquinolone resistance were the most important predictors of adverse outcomes, with pyrazinamide resistance having a significant yet lower impact. In patients with fluoroquinolone-/second-line injectable-susceptible TB, non-eligibility to the shorter MDR-TB regimen (initial resistance to either pyrazinamide, ethionamide, or ethambutol) was not associated with adverse outcome (aOR 1.01; 95%CI 0.4-2.8). Kanamycin resistance was uncommon (1.3%). Increasing levels of resistance to isoniazid predicted treatment failure, also in a subgroup of patients with high-level fluoroquinolone-resistant TB. Our results suggest that resistance to companion drugs of the shorter MDR-TB regimen, except kanamycin resistance, is of no clinical importance as long as fluoroquinolone susceptibility is preserved. Hence, contrary to current WHO guidelines, exclusions to the standard regimen are justified only in the case of fluoroquinolone, and possibly kanamycin resistance. / Damien Foundation Belgium for its financial and logistic support to run the project including its research activities. European Research Council (Starting Grant INTERRUPTB 311725).