인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Flooding events alter microbial communities, impacting soil health and ecosystem recovery. This study examined the 2024 Bangladesh floods' effects on microbial diversity in agricultural and residential soils. We collected paired soil samples from six flooded and two non-flooded sites within a single rural subdistrict after the floods. This sample size was logistically feasible for an initial survey and provides a foundational data set for future larger-scale investigations. Our findings revealed that flooding increased microbial diversity and facilitated the dispersal of unique taxa, with 45 species shared between flooded groups compared to only 6 in non-flooded controls. Notably, 29 beneficial microbes introduced post-flood were identified, categorized into 8 functional groups critical for soil recovery. Residential soils were enriched in nitrogen-fixing microbes, whereas agricultural soils showed higher abundance of phosphate solubilizers and plant growth-promoting rhizobacteria. Sulfur/iron cyclers and cyanobacteria demonstrated flood-adaptive roles. Pathogen screening identified no canonical human pathogens with the exception of Clostridium disporicum, detected only in one non-flooded sample. Archaea from Woesearchaeales and bacteria from the Gemmataceae dominated the microbial communities. Flooded environments harbored unique taxa, such as Sulfuricurvum sp. and the Nitrospira genus, which were absent in controls. Alpha diversity analysis revealed a higher Chao1 richness in flooded soils compared to controls, although statistical significance was not found due to insufficient sample size. Beta diversity showed greater variability between flooded soils relative to non-flooded controls, also not statistically significant. These findings demonstrate that flooding can act as a driver for dispersing beneficial microbes, supporting soil restoration and enhancing agricultural resilience.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.