During an investigation of indigenous prokaryotic species in the Republic of Korea, 17 bacterial strains belonging to the phylum Bacteroidota and 4 strains belonging to the phylum Bacillota were isolated from freshwater environments. These isolated bacterial strains formed a robust phylogenetic clade with type strains of the closest related bacterial species, with 16S rRNA gene sequences sharing similarities of higher than 98.7%. To date, there have been no official report of these 21 isolates in the Republic of Korea. At the genus level, these unreported species were affiliated with Mucilaginibacter and Pedobacter of class Sphingobacteriia, Flavobacterium and Gillisia of class Flavobacteriia, Hymenobacter of class Cytophagia, and Paenibacillus and Planococcus of class Bacilli. These species were further examined by performing Gram staining, analyzing their colonies and cell morphologies, and determining their basic biochemical characteristics and phylogenetic positions. Detailed descriptions of the 21 previously unreported species are provided.

Cucumber mosaic virus (CMV) poses a considerable threat to a diverse array of crops in global agriculture. CMV impacts commercially important cut lilies by diminishing both yield and flower quality. We used RNA sequencing (RNA-seq) to investigate the changes in gene expression in the leaves and bulbs of four distinct cultivars of cut lily, ‘Cancun,’ ‘Brunello,’ ‘Connecticut King,’ and ‘Casa Blanca’ following CMV infection. Notably, CMV affected photosynthetic processes by significantly downregulating genes associated with photosynthesis. In addition, CMV infection was detrimental to chloroplast function and energy production. We observed differential expression of genes associated with both dominant and recessive resistance pathways that are crucial for preventing virus entry, replication, and systemic spread within the plant. Based on functional annotation and differential gene expression analysis, we identified the regulatory genes involved in triggering immune responses, modulating signal transduction, and specific host factors during CMV infection. To validate the RNA-seq findings, we selected four genes involved in resistance, virus multiplication, and virus spread and analyzed them using real-time quantitative reverse transcription PCR (qRT-PCR) with specific primers. The qRT-PCR results aligned closely with those from RNA-seq, showing consistent fold-change responses for the genes that were differentially expressed, indicating that the RNA-seq results were reliable. These results deepen our understanding of the complex genetics behind plant-virus interactions while also providing information for breeding programs that aim to develop CMV-resistant lily cultivars.

As part of the 2024 research initiative, “Investigation and Discovery of Prokaryotes in Freshwater Systems,” samples were collected from diverse freshwater habitats, including both water and soil environments. Approximately 2,000 bacterial strains were isolated as single colonies and identified through 16S rRNA gene sequence analysis. Among these, 38 strains shared ≥98.7% 16S rRNA gene sequence similarities with those of known bacterial species not previously reported in Korea. These strains were thus categorized as newly recorded bacterial species in Korea. These 38 bacterial strains displayed significant phylogenetic diversities, spanning 2 phyla, 4 classes, 15 orders, 24 families, and 34 genera. These unrecorded species were classified into the following classes: Actinomycetia (with genera including Microcella, Conyzicola, Curtobacterium, Leucobacter, Microbacterium, Frigoribacterium, Lysinibacter, Streptomyces, Nonomuraea, Actinocorallia, Ruania, and Actinoplanes), Alphaproteobacteria (Paracoccus, Youngimonas, Loktanella, Corticibacterium, Neorhizobium, Onobrychidicola, Ferranicluibacter, Aureimonas, Asticcacaulis, and Novosphingobium), Betaproteobacteria (Rhodoferax, Rugamonas, and Cupriavidus), and Gammaproteobacteria (Rheinheimera, Shewanella, Kosakonia, Leclercia, Hafnia, Yersinia, Pseudomonas, Lysobacter, and Acinetobacter ). Further characterization included assessment of Gram reaction, colony and cell morphology, biochemical properties, and phylogenetic relationships. This report presents detailed phylogenetic and phenotypic characteristics of these bacterial species.

We introduce a new clustering algorithm, MulGuisin (MGS), that can identify distinct galaxy over-densities using topological information from the galaxy distribution. This algorithm was first introduced in an LHC experiment as a Jet Finder software, which looks for particles that clump together in close proximity. The algorithm preferentially considers particles with high energies and merges them only when they are closer than a certain distance to create a jet. MGS shares some similarities with the minimum spanning tree (MST) since it provides both clustering and network-based topology information. Also, similar to the density-based spatial clustering of applications with noise (DBSCAN), MGS uses the ranking or the local density of each particle to construct clustering. In this paper, we compare the performances of clustering algorithms using controlled data and some realistic simulation data as well as the SDSS observation data, and we demonstrate that our new algorithm finds networks most correctly and defines galaxy networks in a way that most closely resembles human vision.

본 연구에서는 국내에서 판매되는 24개 건어포 및 조미 건어포 제품의 종 판별 및 표시사항 준수 여부를 평가했 다. 이러한 수산가공품에 사용된 원재료의 종판별을 위해 cytochrome c oxidase subunit I 및 cytochrome b 유전자 의 염기서열을 분석하여 NCBI GenBank 및 BOLD 데이 터베이스에 등록되어 있는 생물종의 염기서열과 비교 후 계통 분석을 수행했다. 분석 결과 13개 종(Hyporhamphus quoyi, Gadus chalcogrammus, Lophius litulon, Conger myriaster, Paramonacanthus pusillus, Hyporhamphus sajori, Gadus macrocephalus, Hoplobrotula armata, Callionymus meridionalis, Liparis tanakae, Dosidicus gigas, Lagocephalus cheesemanii, and Takifugu vermicularis)이 확인되었다. 일반 명(장어, 오징어 등)을 포함할 경우 16개 제품(66.7%)에서 표시사항과 판별된 종 간에 불일치가 확인되었으며, 일반 명을 제외할 경우 불일치 비율은 41.7%로 감소했다. 식품 유형별로는 조미건어포 제품(n=20, 70%)에서 건어포 제품 (n=4, 50%) 보다 높은 비율의 불일치 비율이 관찰되었다. 원산지별 분석 결과 특정 국가와 불일치 비율과의 상관성 은 확인할 수 없었다. 이러한 연구 결과는 건포류 제품의 주기적 모니터링 수행 및 수산물의 국명 표시 선을 위한 기초자료로 쓰일 수 있을 것이다.

Climate change and human activities have significantly threatened plant diversity in Nigeria, leading to the imminent extinction of plant genetic resources (PGR). The collected and conserved PGR are insufficient to slow the rate of diversity loss. To address this challenge, plant breeders have initiated various improvement programs aimed at utilizing available PGR to enhance plant resilience against the severity of climate change. Despite these efforts, several limiting factors hinder the sustainable conservation of PGR in Nigeria. The lack of up-to-date information on PGR in Nigeria restricts our understanding of crop diversity. This review explores these constraints and outlines the diverse strategies employed by relevant research institutes over the years to conserve PGR. It also evaluates both in-situ and ex-situ conservation efforts in the country. Collaborations and interactions between research institutes in Nigeria focused on managing PGR are highlighted. Establishing more ex-situ fields across all ecological zones of Nigeria is emphasized as a crucial step to enhance effective conservation measures. Additional recommendations are provided to encourage the conservation and sustainable production of PGR in Nigeria.

This study evaluated the applicability of existing overseas-developed allometric equations for estimating the biomass of domestic apple trees (Malus domestica) in South Korea. To assess their suitability, predicted biomass values derived from these equations were compared with actual measurements obtained through destructive sampling. The results indicate that some overseas equations showed no significant difference when applied to domestic apple trees, suggesting their potential applicability to local conditions. However, it was also noted that certain equations may not fully capture the unique characteristics of domestic apple trees, such as the slender spindle form associated with modern high-density planting practices. Given these findings, the study highlights the need to develop new allometric equations that are specifically optimized for the growth characteristics and cultivation environments of domestic apple orchards. Such equations would enable more accurate biomass estimation, support agricultural sustainability, and provide reliable data for the national greenhouse gas inventory. This research is expected to serve as a foundation for future Tier 2-level studies on biomass and carbon sequestration in apple orchards while also underscoring the importance of expanding research to include various fruit tree species to develop customized biomass estimation models for enhanced agricultural management and environmental conservation.

We investigated the effects of supercritical-CO2 treatment on the pore structure and consequent H2 adsorption behavior of single-walled carbon nanohorns (SWCNHs) and SWCNH aggregates. High-resolution transmission electron microscopy and adsorption characterization techniques were employed to elucidate the alterations in the SWCNH morphology and aggregate pore characteristics induced by supercritical-CO2 treatment. Our results confirm that supercritical-CO2 treatment reduces the interstitial pore surface area and volume of SWCNH aggregates, notably affecting the adsorption of N2 (77 K), CO2 (273 K), and H2 (77 K) gasses. The interstitial porosity strongly depends on the supercritical-CO2 pressure. Supercritical-CO2 treatment softens the individual SWCNHs and opens the core of SWCNH aggregates, producing a partially orientated structure with interstitial ultramicropores. These nanopores are formed by the diffusion and intercalation of CO2 molecules during treatment. An increase in the amount of H2 adsorbed per interstitial micropore of the supercritically modified SWCNHs was observed. Moreover, the increase in the number and volume of ultramicropores enable the selective adsorption of H2 and CO2 molecules. This study reveals that supercritical-CO2 treatment can modulate the pore structure of SWCNH aggregates and provides an effective strategy for tailoring the H2 adsorption properties of nanomaterials.