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
Low-light stress is a major environmental factor limiting watermelon growth and productivity; however, the molecular and physiological mechanisms underlying low-light tolerance remain unclear. In this study, we compared the morphological, physiological, biochemical, and transcriptomic responses of two watermelon inbred lines, HY25 (low-light tolerant) and DQ22 (low-light sensitive), under low-light conditions (60 µmol m⁻² s⁻¹) and normal light (200 µmol m⁻² s⁻¹). Morphological assessments revealed that low-light stress considerably inhibited shoot and root development in both lines, with DQ22 exhibiting more severe reductions in plant height, biomass, and root architecture. Photosynthetic analysis revealed that, compared with HY25, DQ22 resulted in greater decreases in the net photosynthetic rate, stomatal conductance, transpiration rate, chlorophyll content, and PSII efficiency (Fv/Fm). Biochemical assays showed that DQ22 resulted in increased levels of reactive oxygen species (ROS), malondialdehyde (MDA), and relative electrolyte leakage (REL), whereas HY25 maintained increased antioxidant enzyme activity and decreased cellular damage. Additionally, HY25 resulted in greater retention of carbohydrate and protein contents under stress. Transcriptome analysis revealed 8,291 differentially expressed genes (DEGs), with HY25 exhibiting increased expression of genes related to photosynthesis, carbohydrate metabolism, and ROS detoxification. Notably, genes involved in light-harvesting complexes, carbon fixation, and porphyrin metabolism were more actively expressed in HY25. Moreover, auxin-related genes presented genotype-specific expression under stress. These findings clarify key physiological traits and gene regulatory mechanisms associated with low-light tolerance in watermelon and provide valuable insights for developing stress-resistant cultivars.
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.