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
The occurrence of apple replant disease (ARD) is closely related to the increase of soil pathogenic fungi abundance. However, the relationship between ARD and fungal community structure remains poorly understood. In this study, Illumina high-throughput sequencing was used to investigate the composition, diversity, and function of rhizosphere fungal communities associated with healthy (HRS) and diseased apple trees (DRS). Microbial taxa related to ARD were also identified. The severity of ARD varied among the sampled orchards. We found that Ascomycota was the dominant phylum in the DRS fungal taxa, and the fungal community abundance and Simpson index of DRS were significantly higher than those of HRS. Cluster and FUNGuild database analyses revealed significant differences in the relative abundance and function of fungal taxa between DRS and HRS. Most fungi isolated from DRS were plant pathogens, predominantly from the genus Fusarium (Ascomycota, Nectriaceae), which was also the predominant fungal genus detected in DRS. In contrast, Mortierella was more abundant in HRS. To validate the sequencing results, Fusarium isolates, including F. proliferatum, F. oxysporum, and F. solani, were verified as pathogens and showed high virulence. Structural equation modeling indicated that the occurrence of ARD was directly or indirectly influenced by Fusarium, Mortierella, phloridin, available phosphorus, and soil organic matter. Further research is needed to elucidate how soil parameters affect ARD. Laboratory tests demonstrated that F. proliferatum MR5 can produce pectinase and cellulase and is sensitive to two fungicides: flusilazole and bromothalonil. In conclusion, the deterioration of rhizosphere fungal community structure may be a key biological factor driving ARD, with Fusarium in DRS identified as a major causative agent of ARD in China. The findings of this study provide valuable insights for developing preventive strategies against ARD.
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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