Biology subjects

Kim, J. I.

Publications and source records attributed to Kim, J. I..

9 recordsLinked to original sources

bioRxiv2026

Accounting for allelic diversity and multicopy gene detection improves the accuracy of antibiotic resistance genotypic determination

BackgroundGenomic prediction of antimicrobial resistance (AMR) relies on the accurate detection of resistance genes or allelic variants of core genes from raw or assembled genomes sequences. For several bacterial species and antibiotics, AMR genotype-phenotype discrepancies are common, indicating that important sources of error remain unresolved. For Enterococcus faecium, we focused on identifying the sources of discrepancies for tetracycline resistance, for which genotypic detection had shown particularly low accuracy. We investigated the effect of structural variation in antibiotic resistance genes (ARGs)--including gene duplications, truncations, interruptions, and mixed configurations of complete and partial gene copies-- as a source of genotype-phenotype discrepancies from short{square}read data. We conduct further extended investigations to other antibiotic families and into another bacterial species: Escherichia coli. MethodsWe analyzed collections of E. faecium and E. coli genomes, integrating high{square}quality complete assemblies, simulated Illumina short reads, and matched AMR phenotypic data. The integrity, copy number, and allelic diversity of ARGs were examined for multiple antibiotic classes, and their impact on ARG detection and accuracy of AMR determination was assessed using several commonly used bioinformatic tools (SRST2, ARIBA and AMRFinderPlus). ResultsFor E. faecium, after ruling out the effect of specific tet allelic variants on tetracycline susceptibility, we found that the integrity and copy number of tet(M) had a major effect on detection accuracy. Duplicated and incomplete ARGs are also common in E. faecium genomes, particularly for macrolides (erm(B)) and aminoglycosides (ant(6)-Ia and aph(3)-IIIa). In E. coli, similar patterns were observed for tet(A), erm(B) and aminoglycoside{square}associated genes (aph(3{square})-IIIa and ant(6)-Ia). Across ARGs in both species, short-read mapping methods wrongly reported interrupted genes as complete in some instances, while assembly{square}based methods often failed to resolve complete copies of duplicated genes. Detection accuracy improved when tools were adapted to account for gene integrity and when extended AMR databases incorporating species{square}specific alleles were included. ConclusionsOur findings reveal that bioinformatic limitations in dealing with ARG copy number and completeness, and in accounting for allelic variation, underly a substantial source of genotype-phenotype errors, highlighting the need for improved AMR databases and bioinformatic tools that consider these factors to achieve reliable genomic prediction of AMR.

bioinformatics↗

bioRxiv2026

Spatiotemporal Dynamics of Highly Pathogenic Avian Influenza H5 Virus Introductions and Regional Spread in the Republic of Korea

Highly pathogenic avian influenza (HPAI) viruses from clade 2.3.4.4 have caused recurrent outbreaks in poultry since 2014. In the Republic of Korea, clade 2.3.4.4b viruses have driven five epidemic waves, yet the factors underlying HPAI introduction and farm-to-farm spread remain poorly understood. We compiled hemagglutinin gene sequences of clade 2.3.4.4b viruses from wild birds and poultry in the Republic of Korea (October 2016-March 2024) and reconstructed dispersal dynamics using Bayesian phylogeography. Dispersal patterns suggest that domestic duck farms in the western provinces likely form a key interface for spillover from wild birds into poultry. Mixed-effects generalized linear models showed that both wild-to-poultry and farm-to-farm transition rates were positively associated with the number of poultry farms in the destination province, while wild-to-poultry rates were further associated with higher avian influenza virus infection probability among wild birds. Wild-to-poultry transition rates were lower in 2020-2024 than in 2016-2018, which may reflect strengthened interventions. These findings suggest that poultry farm abundance and introduction pressure from wild birds jointly shape the spatial dynamics of HPAI introduction and spread. More broadly, these factors may provide operational indicators to guide risk-based surveillance and control strategies. Author SummaryHighly pathogenic avian influenza (HPAI) H5 viruses continue to cause major losses in poultry and pose recurring risks at the wildlife-livestock interface. Effective control depends on identifying where viruses are most likely to enter poultry populations and how they spread between farms. Using viral genomic data from wild birds and poultry in the Republic of Korea, this study suggests that domestic duck farms in western provinces likely form a key interface for introductions from wild birds into poultry. We also found that regions with more poultry farms were more likely to receive and spread the virus, while introduction risk was further elevated where infection pressure from wild birds was higher. By linking viral genomic patterns with ecological and epidemiological information, our study helps identify where HPAI viruses are most likely to enter poultry populations and spread between farms. These findings can guide targeted surveillance and early control in regions at greatest risk.

evolutionary biology↗

bioRxiv2025

Coordinated circulating and tissue-based T cell responses precede xenograft rejection

Despite the life-saving successes of solid organ transplantation, the number of individuals needing organ transplant far exceeds the number of organs available for use each year. Porcine xenotransplantation, or the use of pig organs for transplantation in people, holds substantial promise but xenograft rejection in humans is poorly understood. T cell rejection by the host immune system is a major challenge for human allografts and may limit the longevity of porcine xenografts. To study the xenograft rejection, we evaluated T cell responses and repertoire dynamics across tissues following porcine thymokidney transplantation in a decedent model over 61 days after bilateral native kidney nephrectomy. Despite induction with anti-thymocyte globulin and ongoing immune suppression consisting of rituximab, corticosteroids, calcineurin inhibition, and mycophenolate mofetil, human T cell infiltration of the xenograft was observed and was associated with xenograft dysfunction. Longitudinal analysis of T cell clonotypes in biopsies of thymokidney revealed accumulation of clonal human CD4 and CD8 T cell responses. Moreover, circulating activated T cells, including circulating T follicular helper (cTfh), were xeno-reactive and increased in frequency around rejection events. We confirmed clonal dominance of a single CD8 clonotype - identified as donor-reactive in a mixed lymphocyte reaction - in the circulation leading up to the acute cellular rejection event. Following re-treatment with anti-thymocyte globulin and intensification of corticosteroids, the T cell clonotypes were dramatically diminished in frequency in thymokidney and lymph nodes, though not eliminated. Over time of observation, the T cell clonotypes were shared across multiple compartments, including xenograft, circulation and lymph nodes and formed clonal families with known xeno-reactive clonotypes, suggesting a coordinated immune response against a limited pool of antigenic targets. Together, these data demonstrate T cell repertoire dynamics across tissues in the setting of xenograft rejection and highlight opportunities for early surveillance, prediction and potential intervention. One-sentence summaryAfter pig-to-human kidney xenotransplantation, xenoreactive T cells form clonotypic families across blood, graft, and lymphoid tissues, indicating a coordinated and targeted response.

immunology↗

bioRxiv2025

4-Pi Stimulated Raman Scattering for Label-free Super-resolution Chemical Imaging

AO_SCPLOWBSTRACTC_SCPLOWSuper-resolution fluorescence microscopy has transformed the study of biological structures and functions beyond the diffraction limit. Unlike fluorescence methods, label-free chemical imaging, mostly based on Raman and infrared spectroscopy, provides intrinsic molecular contrast, enabling the study of biomolecules, nanostructures, drug molecules, and metabolites that cannot be easily tagged. However, while a wide range of fluorescence-based super-resolution techniques are well-established, extending super-resolution to label-free chemical imaging has remained challenging due to low signal levels and limited resolution improvement. Super-resolution stimulated Raman scattering microscopy (SRS) is most promising due to its high sensitivity and imaging speed. Similar to fluorescence, existing SRS super-resolution approaches are mostly based on either photoswitching/saturation of molecular labels or sample expansion, which suffers from poor sensitivity due to limitations in labeling density or signal dilution, respectively. Moreover, axial resolution is typically much worse than lateral resolution, yet most super-resolution SRS techniques focused on improving lateral resolution. In this work, we combine stimulated Raman scattering (SRS) with 4Pi-interferometry to significantly improve the axial resolution by nearly 7-fold. We report on the characterization of improvements in imaging sensitivity and axial resolution using 80 nm polystyrene beads. Harnessing the improved axial resolution, we demonstrate super-resolution 4Pi-SRS imaging in resolving small lipid droplet structures in mammalian cells and lipid membranes in E. coli cells. Because 4Pi-SRS uses interferometry to improve axial resolution, it is completely orthogonal to all previous super-resolution SRS techniques, including visible excitation, photoswitching, sample expansion, and computational approaches, thus it is straightforward to combine them to achieve much higher resolution chemical imaging than currently possible.

bioengineering↗

bioRxiv2024

Morphological and Molecular Phylogenetic Characterization of Three New Marine Goniomonad Species

Goniomonads are commonly found heterotrophic biflagellates in both marine and freshwater environments. Despite the high genetic diversity inferred from 18S rDNA data, many goniomonad species remain undescribed. In this study, we established a total of 21 marine goniomonad culture strains, and from these, describe three new species by using light microscopy, electron microscopy, and 18S rDNA phylogeny. Molecular sequence analyses suggest the presence of several distinct sub-lineages within the marine goniomonad clade. Two of these are Goniomonas ulleungensis sp. nov. and G. lingua sp. nov., which are similar in size, flagellar length, appendage & orientation and by having a tongue-like protrusion at the anterior. The two species can be differentiated by the periplast plate pattern with G. ulleungensis displaying one additional plate on the right side. G. duplex sp. nov. differed from these two species by having two unequal flagella with the longer one trailing posteriorly and having the opposite cell orientation when skidding. Comparative analyses of five marine goniomonad species showed that genetically distinct goniomonad groups can be delineated by morphological data as well, and of several morphological features that are of taxonomic utility, the periplast plate pattern, observable by SEM, is particularly informative in goniomonad taxonomy.

evolutionary biology↗

bioRxiv2023

RNA editing of AZIN1 coding sites is catalyzed by ADAR1 p150 after splicing

Adenosine-to-inosine RNA editing is catalyzed by nuclear ADAR1 p110 and ADAR2, and cytoplasmic ADAR1 p150 in mammals, all of which recognize double-stranded RNAs (dsRNAs) as targets. Although its frequency is quite rare, RNA editing occurs in coding regions, which alters protein functions by exchanging amino acid sequences, and is therefore physiologically significant. In general, such coding sites are edited by ADAR1 p110 and ADAR2 prior to splicing, given that the corresponding exon forms a dsRNA structure with an adjacent intron. We previously found that RNA editing at two coding sites of antizyme inhibitor 1 (AZIN1) is sustained in Adar1 p110/Aadr2 double knockout mice. However, the molecular mechanisms underlying RNA editing of AZIN1 remain unknown. Here, we showed that Azin1 editing levels were increased upon type I interferon treatment, which activated Adar1 p150 transcription, in mouse Raw264.7 cells. Azin1 RNA editing was observed in mature mRNA but not precursor mRNA. Furthermore, we revealed that the two coding sites were editable only by ADAR1 p150 in both mouse Raw264.7 and human HEK293T cells. This unique editing was achieved by forming a dsRNA structure with a downstream exon after splicing and the intervening intron suppressed RNA editing. Therefore, deletion of a nuclear export signal from ADAR1 p150, shifting its localization to the nucleus, decreased Azin1 editing levels. Finally, we demonstrated that Azin1 RNA editing was completely absent in Adar1 p150 knockout mice. Thus, these findings indicate that RNA editing of AZIN1 coding sites is exceptionally catalyzed by ADAR1 p150 after splicing.

molecular biology↗

bioRxiv2020

Disruption of Z-RNA-binding of ADAR1 induces Aicardi-Goutieres syndrome-like encephalopathy in mice

ADAR1 p150 is an enzyme responsible for adenosine-to-inosine RNA editing. Deletion of ADAR1 p150 results in embryonic lethality with a type I interferon (IFN) signature, caused by aberrant MDA5 sensing unedited transcripts. ADAR1 p150 contains a unique Z-DNA/RNA-binding domain (Z); however, the role of this domain remains unknown. A mutation has been identified in this domain in patients with Aicardi-Goutieres syndrome (AGS), an inherited interferonopathy, suggesting an essential role in avoiding MDA5 activation. Here, we show that a mutation in the Z domain reduces the editing activity of ADAR1 p150 by comparing activity between wild-type and mutated isoforms expressed in Adar1/Adar2 knockout cells. Furthermore, we created Z domain-mutated knock-in mice, which displayed severe growth retardation with abnormal organ development, including AGS-like encephalopathy with a type I IFN signature. These abnormalities were ameliorated by the concurrent deletion of MDA5. Collectively, Z-RNA-recognition contributes to ADAR1 p150-mediated RNA editing, which prevents MDA5 activation.

immunology↗

bioRxiv2020

Pyronaridine and artesunate are potential antiviral drugs against COVID-19 and influenza

Since the first human case was reported in Wuhan Province, China in December 2019, SARS-CoV-2 has caused millions of human infections in more than 200 countries worldwide with an approximately 4.01% case-fatality rate (as of 27 July, 2020; based on a WHO situation report), and COVID-19 pandemic has paralyzed our global community. Even though a few candidate drugs, such as remdesivir (a broad antiviral prodrug) and hydroxychloroquine, have been investigated in human clinical trials, their therapeutic efficacy needs to be clarified further to be used to treat COVID-19 patients. Here we show that pyronaridine and artesunate, which are the chemical components of anti-malarial drug Pyramax(R), exhibit antiviral activity against SARS-CoV-2 and influenza viruses. In human lung epithelial (Calu-3) cells, pyronaridine and artesunate were highly effective against SARS-CoV-2 while hydroxychloroquine did not show any effect at concentrations of less than 100 M. In viral growth kinetics, both pyronaridine and artesunate inhibited the growth of SARS-CoV-2 and seasonal influenza A virus in Calu-3 cells. Taken together, we suggest that artesunate and pyronaridine might be effective drug candidates for use in human patients with COVID-19 and/or influenza, which may co-circulate during this coming winter season.

microbiology↗

bioRxiv2020

A Combinatorial Approach of Biparental QTL Mapping and Genome-Wide Association Analysis Identifies Candidate Genes for Phytophthora Blight Resistance in Sesame

Phytophthora blight, caused by pathogen Phytophthora nicotianae, is responsible for a huge reduction in sesame (Sesamum indicum L.) crop yields. In this study, we utilized a combinatorial approach involving biparental QTL mapping and genome-wide association (GWAS) analysis to identify genes associated with Phytophthora blight resistance in sesame. Evaluation of resistant of the parental varieties (Goenbaek, Osan and Milsung) and the RILs of both the populations in greenhouse conditions suggested the qualitative nature of the trait.. The genetic map comprised thirteen LGs covering a total map length of 887.49 cM with an average inter-marker distance of 4.69 cM. Significant QTLs explaining phenotypic variation in the range of 2.25% to 69.24% were identified on chromosomes 10 and 13 (Chr10 and Chr13). A resistance locus detected on Chr10 was found to be highly significant. The association of this locus to PBR was also identified through BSA and single marker analysis in Goenbaek x Milsung cross and through genome-wide association mapping of 87 sesame accessions. The GWAS analysis identified 44 SNP loci significantly associated with Phytophthora disease-resistant traits on Chr10. Further, the haplotype block analysis conducted in order to find whether the SNPs associated with resistance in this study showed that the SNPs are in high LD with the resistance QTL. We obtained a total of 68 candidate genes, which included a number of defense-related R genes. One of the genes, SIN_1019016 (At1g58390) showed high expression in the resistant parent. The results from this study would be highly useful in identifying genetic and molecular factors associated with Phytophthora blight resistance in sesame.

molecular biology↗