Biology subjects

Kim, S.-R.

Publications and source records attributed to Kim, S.-R..

4 recordsLinked to original sources

bioRxiv2026

Natural variation in the atypical resistance gene Pita2 confers broad-spectrum neck blast resistance in rice

Neck blast (NB), caused by Magnaporthe oryzae, damages rice panicles and reduces yield. Knowledge of NB resistance remains limited due to the lack of reliable resistance evaluation methods. Here, we applied a newly established neck injection method and performed a GWAS on 335 diverse accessions from the 3K Rice Genomes Project to identify loci associated with NB resistance. We detected a significant association on chromosome 12, explaining 15-18% of the symptom variations caused by a highly virulent Philippine blast isolate (M64-1-3-9-1). Linkage disequilibrium analysis refined this region to a 42.3-kb interval containing Pita2, a known leaf blast resistance gene. We found that two Pita2 allelic variants, Pita2a and Pita2c, both harboring the variant A/G (Lys879) in the last exon (Chr12:10,833,400), are associated with NB resistance. IR64 and a CO39 near-isogenic line (NIL) IRBLta2-Pi[CO] harboring Pita2a were resistant, whereas CRISPR-Cas9 knock-out of Pita2a in IR64 caused susceptibility to M64-1-3-9-1 and IK81-25. These results indicate that Pita2a is required for NB resistance. Furthermore, the CO39 NIL, IRBLta2-Pi[CO], and Lijiangxintuanheigu monogenic line (IRBLta2-Pi) harboring the Pita2a allele exhibited broad-spectrum resistance to 75% and 80% of Philippine differential blast isolates, respectively. The superior haplotype of Pita2 contains two major SNPs (A/G and A/C at Chr12:10,833,400 and Chr12:10,845,095) occurs in 83% of IRRI elite breeding lines and can be used to select NB-resistant genotypes with an accuracy of 86%. Our findings identify Pita2a as a major gene for NB resistance and provide a valuable genetic resource for developing blast-resistant rice. PLAIN LANGUAGE SUMMARYRice blast, caused by the fungus Magnaporthe oryzae, is a major threat to global rice production. Neck blast (NB) is the most severe type of blast, however, the genetic basis of NB resistance remains poorly understood. In this study, we analyzed 335 rice accessions to identify genes underlying the resistance against a Philippine blast isolate. We found that allelic variants Pita2a and Pita2c are strongly-associated with NB resistance. Knock-out of Pita2a allele made resistant rice plants susceptible while introgression into susceptible rice lines enhanced resistance to multiple blast isolates, confirming its role in NB resistance. Importantly, the superior alleles of Pita2 are already present in 83% of elite breeding lines and can be used to select NB-resistant genotypes with an accuracy of 86%. Our findings clarify the genetic control of NB resistance and offer new tools for protecting rice yields in blast-endemic regions.

pathology↗

bioRxiv2024

Risk-free polio vaccine: Recombinant expression systems for production of stabilised virus-like particles

Polioviruses have caused crippling disease in humans for centuries, prior to the successful development of vaccines in the mid-1900s, which dramatically reduced disease prevalence. Continued use of these vaccines, however, threatens ultimate disease eradication and achievement of a polio-free world. Virus-like particles (VLPs) that lack a viral genome represent a safer potential vaccine, although they require particle stabilization. Using our previously established genetic techniques to stabilize the structural capsid proteins, we demonstrate production of poliovirus VLPs of all three serotypes, from four different recombinant expression systems. We compare the antigenicity, thermostability and immunogenicity of these stabilized VLPs against the current inactivated polio vaccine, demonstrating equivalent or superior immunogenicity. Structural analyses of these recombinant VLPs provide a rational understanding of the stabilizing mutations and the role of potential excipients. Collectively, we have established these poliovirus stabilized VLPs as viable next-generation vaccine candidates for the future.

microbiology↗

bioRxiv2024

Multi-omics of a rice population identifies genes and genomic regions in rice that bestow low glycemic index and high protein content

To address the growing incidences of increased diabetes and to meet the daily protein requirements, we developed low glycemic index (GI) rice varieties with protein yield exceeding 14%. In the development of recombinant inbred lines using Samba Mahsuri and IR36 amylose extender as parental lines, we identified quantitative trait loci (QTLs) and genes associated with low GI, high amylose content (AC), and high protein content (PC). By integrating genetic techniques with classification models, this comprehensive approach identified candidate genes on chromosome 2 (qGI2.1/qAC2.1 spanning the region from 18.62Mb to 19.95Mb), exerting influence on low GI and high amylose. Notably, the phenotypic variant with high value was associated with the recessive allele of the starch branching enzyme 2b (sbeIIb). The genome-edited sbeIIb line confirmed low GI phenotype in milled rice grains. Further, combinations of alleles from the highly significant SNPs from the targeted associations and epistatically interacting genes showed ultra-low GI phenotypes with high amylose and high protein. Metabolomics analysis of rice with varying AC, PC, and GI revealed that the superior lines of high AC and PC, and low GI were preferentially enriched in glycolytic and amino acid metabolism, whereas the inferior lines of low AC and PC and high GI were enriched with fatty acid metabolism. The high amylose high protein RIL (HAHP_101) was enriched in essential amino acids like lysine. Such lines may be highly relevant for food product development to address diabetes and malnutrition. Significance StatementThe increasing global incidence of diabetes calls for the development of diabetic friendly healthier rice. In this study, we developed recombinant inbred rice lines with milled rice exhibiting ultra-low to low glycemic index and high protein content from the cross between Samba Mahsuri and IR36 amylose extender. We performed comprehensive genomics and metabolomics complemented with modeling analyses emphasizing the importance of OsSbeIIb along with additional candidate genes whose variations allowed us to produce target rice lines with lower glycemic index and high protein content in a high-yielding background. These lines represent an important breeding resource to address food and nutritional security.

systems biology↗

bioRxiv2020

Molecular mapping of qBK1Z, a major QTL for bakanae disease resistance in rice

Bakanae disease is a fungal disease of rice (Oryza sativa L.) caused by the pathogen Gibberella fujikuroi (also known as Fusarium fujikuroi). Recently the disease incidence has increased in several Asian countries and continues to spread throughout the world. No rice varieties have been developed yet to be completely resistant to this disease. With increasing need to identify various genetic resources to impart resistance to local elite varieties, this study was carried out to identify novel quantitative trait loci (QTLs) from an indica variety Zenith. We performed a QTL mapping using 180 F2:9 recombinant inbred lines (RILs) derived from a cross between the resistant variety, Zenith, and the susceptible variety, Ilpum. A primary QTL study using the genotypes and phenotypes of the RILs indicated that the locus qBK1z conferring bakanae disease resistance from the Zenith was located in a 2.8 Mb region bordered by the two SSR markers, RM1331 and RM3530 on chromosome 1. The log of odds (LOD) score of qBK1z was 13.43, accounting for 30.9% of the total phenotypic variation. A finer localization of qBK1z was delimited at an approximate 730 kb interval in the physical map between Chr01_1435908 (1.43 Mbp) and RM10116 (2.16 Mbp). The development of a rice variety with a higher level of resistance against bakanae disease is a major challenge in many rice growing countries. Introducing qBK1z or pyramiding with other previously identified QTLs could provide effective genetic control of bakanae disease in rice.

plant biology↗