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
Clubroot disease caused by <i>Plasmodiophora brassicae</i> (<i>P. brassicae</i>) severely threatens the cultivation of Cruciferous plants, especially Chinese cabbage. Recently, resistance genes in plants have been reported to encode for a Ca<sup>2+</sup>-permeable channel in the plasma membrane, which can mediate the cytosolic Ca<sup>2+</sup> increase in plant cells upon pathogen attack. However, the downstream Ca<sup>2+</sup> sensor and decoder are still unknown. In this study, we identified the virulent and avirulent <i>P. brassicae</i> isolates (Pbs) of two near isogenic lines, CR 3-2 and CS 3-2, with CR 3-2 harboring clubroot resistant gene <i>BraCRa</i>. The transcriptomic analysis was then conducted with CR 3-2 after inoculating with virulent isolate PbE and avirulent isolate Pb4. From the differentially expressed genes of transcriptomic data, we identified a Ca<sup>2+</sup>-sensor encoding gene, <i>BraCBL1</i>.<i>2</i>, that was highly induced in CR 3-2 during infection by Pb4 but not by PbE. Moreover, GUS histochemical staining and subcellular localization analysis revealed that <i>BraCBL1</i>.<i>2</i> was specifically expressed in the root hair cells of <i>Arabidopsis</i> and encoded a putative Ca<sup>2+</sup> sensor localized in the plasma membrane. We also developed an assay to investigate the BraCRa-mediated hypersensitive response (HR) in tobacco leaves. The results suggest that BraCBL1.2 is involved in the BraCRa-mediated plant ETI immune response against <i>P. brassicae</i>. In addition, we verified that overexpression of <i>BraCBL1.2</i> enhanced clubroot resistance in <i>Arabidopsis</i>. Collectively, our data identified the involvement of a Ca<sup>2+</sup> sensor in BraCRa-mediated clubroot resistance in Chinese cabbage, providing a theoretical basis for further research on the resistance of Chinese cabbage to <i>P. brassicae</i>.
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.