|Budget Amount *help
¥20,670,000 (Direct Cost: ¥15,900,000、Indirect Cost: ¥4,770,000)
Fiscal Year 2020: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2019: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2018: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Fiscal Year 2017: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
|Outline of Final Research Achievements
Understanding microbial community structure is important in medical and environmental sciences. Remarkable development of high-throughput sequencing techniques have provided snapshots of taxonomic compositions in microbial communities across diverse ecosystems; however, uniderstanding of the structure is fall behind due to a lack of reliable methods. Thus, we developed a novel method for estimating microbial community structure using metabolic network analysis: Estimator of COmmunity Structure based on MetabOlic networkS (ECOSMOS). we applied ECOSMOS to human gut microbiome and Erath microbiome data and revealed how micribial community strcture altered with respect to disease and environemntal changes. Our method and findings open new possibilities for medical diagnosis and enviromnetal assessment based on microbiome data.