Jeongsu Oh

Bacterial diversity in ornithogenic soils compared to mineral soils on King George Island, Antarctica

In the Narębski Point area of King George Island of Antarctica, ornithogenic soils form on land under Chinstrap and Gentoo Penguin rookeries. The purpose of this study was to compare the bacterial community compositions in the gradient of contamination by penguin feces; mineral soil with no contamination, and soils with medium or high contamination. The discrimination between mineral soils and ornithogenic soils by characterization of physicochemical properties and bacterial communities was notable. Physicochemical analyses of soil properties showed enrichment of carbon and nitrogen in ornithogenic soils. Firmicutes were present abundantly in active ornithogenic soils, Bacteroidetes and Proteobacteria in a formerly active one, and several diverse phyla such as Proteobacteria, Actinobacteria, and Acidobacteria in mineral soils. Some predominant species belonging to the Firmicutes and Gammaproteobacteria may play an important role for the mineralization of nutrients in ornithogenic soils. Results of this study indicate that dominant species may play an important role in mineralization of nutrients in these ecosystems.

CLUSTOM-CLOUD: In-Memory Data Grid-Based Software for Clustering 16S rRNA Sequence Data in the Cloud Environment.

High-throughput sequencing can produce hundreds of thousands of 16S rRNA sequence reads corresponding to different organisms present in the environmental samples. Typically, analysis of microbial diversity in bioinformatics starts from pre-processing followed by clustering 16S rRNA reads into relatively fewer operational taxonomic units (OTUs). The OTUs are reliable indicators of microbial diversity and greatly accelerate the downstream analysis time. However, existing hierarchical clustering algorithms that are generally more accurate than greedy heuristic algorithms struggle with large sequence datasets. To keep pace with the rapid rise in sequencing data, we present CLUSTOM-CLOUD, which is the first distributed sequence clustering program based on In-Memory Data Grid (IMDG) technology–a distributed data structure to store all data in the main memory of multiple computing nodes. The IMDG technology helps CLUSTOM-CLOUD to enhance both its capability of handling larger datasets and its computational scalability better than its ancestor, CLUSTOM, while maintaining high accuracy. Clustering speed of CLUSTOM-CLOUD was evaluated on published 16S rRNA human microbiome sequence datasets using the small laboratory cluster (10 nodes) and under the Amazon EC2 cloud-computing environments. Under the laboratory environment, it required only ~3 hours to process dataset of size 200 K reads regardless of the complexity of the human microbiome data. In turn, one million reads were processed in approximately 20, 14, and 11 hours when utilizing 20, 30, and 40 nodes on the Amazon EC2 cloud-computing environment. The running time evaluation indicates that CLUSTOM-CLOUD can handle much larger sequence datasets than CLUSTOM and is also a scalable distributed processing system. The comparative accuracy test using 16S rRNA pyrosequences of a mock community shows that CLUSTOM-CLOUD achieves higher accuracy than DOTUR, mothur, ESPRIT-Tree, UCLUST and Swarm. CLUSTOM-CLOUD is written in JAVA and is freely available at http://clustomcloud.kopri.re.kr.

Complete genome of Kangiella geojedonensis KCTC 23420T, putative evidence for recent genome reduction in marine environments

Kangiella geojedonensis KCTC 23420(T) is an aerobic, Gram-negative, non-motile, non-spore-forming, rod-shaped bacterium that was isolated from seawater off the southern coast of Korea. We here report the complete genome of K. geojedonensis KCTC 23420(T), which consists of 2,495,242 bp (G+C content of 43.78%) with 2,257 protein-coding genes, 41 tRNAs, 2 rRNA operons. The genome is smaller than the other closely related genomes, indicating that K. geojedonensis has recently experienced reductive evolution.

Complete genome of a coastal marine bacterium Muricauda lutaonensis KCTC 22339T

Muricauda lutaonensis KCTC 22339(T) is a yellow-pigmented, gram-negative, rod-shaped bacterium that was isolated from a coastal hot spring of a volcanic island in the Pacific Ocean, off the eastern coast of Taiwan. We here report the complete genome of M. lutaonensis KCTC 22339(T), which consists of 3,274,259bp with the G+C content of 44.97%. The completion of the M. lutaonensis genome sequence is expected to provide a valuable resource for understanding the secondary metabolic pathways related to bacterial pigmentation.