인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
Harmful Algal Blooms (HABs) of the toxigenic dinoflagellate <i>Karenia brevis</i> (KB) are pivotal in structuring the ecosystem of the Gulf of Mexico (GoM), decimating coastal ecology, local economies, and human health. Bacterial communities associated with toxigenic phytoplankton species play an important role in influencing toxin production in the laboratory, supplying essential factors to phytoplankton and even killing blooming species. However, our knowledge of the prevalence of these mechanisms during HAB events is limited, especially for KB blooms. Here, we introduced native microbial communities from the GoM, collected during two phases of a <i>Karenia</i> bloom, into KB laboratory cultures. Using bacterial isolation, physiological experiments, and shotgun metagenomic sequencing, we identified both putative enhancers and mitigators of KB blooms. Metagenome-assembled genomes from the <i>Roseobacter</i> clade showed strong correlations with KB populations during HABs, akin to symbionts. A bacterial isolate from this group of metagenome-assembled genomes, <i>Mameliella alba</i>, alleviated vitamin limitations of KB by providing it with vitamins B<sub>1</sub>, B<sub>7</sub> and B<sub>12</sub>. Conversely, bacterial isolates belonging to Bacteroidetes and Gammaproteobacteria, <i>Croceibacter atlanticus</i>, and <i>Pseudoalteromonas spongiae</i>, respectively, exhibited strong algicidal properties against KB. We identified a serine protease homolog in <i>P. spongiae</i> that putatively drives the algicidal activity in this isolate. While the algicidal mechanism in <i>C. atlanticus</i> is unknown, we demonstrated the efficiency of <i>C. atlanticus</i> to mitigate KB growth in blooms from the GoM. Our results highlight the importance of specific bacteria in influencing the dynamics of HABs and suggest strategies for future HAB management.
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.
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