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
Societal Impact Statement Global climate change is adversely affecting grape quality by accelerating developmental processes. We developed an advanced method to define grape berry phenological stages based on gene expression information and made it accessible for widespread research. By precisely identifying these growth stages we can improve our understanding of how environmental conditions and agricultural practices influence grape quality. This has significant implications for developing mitigation strategies in viticulture and emphasizes the need for adaptive policies that can sustain grape production in the face of the changing climate. Summary Determining the developmental stage of grape berries is essential to understand the effect of environmental and/or cultivation factors. Our work aims to illustrate thoroughly the application of the recently established Molecular Phenology Scale (MPhS) to any custom berry transcriptomic dataset to map the ontogenic development of the fruit with high precision. We detail the code components and instructions to run the MPhS package in R for berry transcriptomic datasets. We describe the output of the application of this tool on berry samples from plants subjected to various cultivation and environmental factors (e.g. cluster thinning, defoliation, water limitation, and varying temperature regimes). We illustrate the procedure for unveiling molecular responses uniquely related to the tested factor by comparing differentially expressed genes upon alignment of fruit samples by MPhS stage. We demonstrated that the MPhS application allows defining the shifts of fruit development driven by various agronomic and environmental factors. Moreover, by performing statistical analysis on grape samples aligned according to the MPhS, we clearly highlighted some modulation of secondary metabolism specifically triggered by crop load manipulation, beyond the anticipation or delay of developmental progression. The application of the MPhS to align time‐series samples has proven to be an advanced method to define the developmental stage of grape berries. This is particularly important when the effect of cultivation/environmental factors is studied through gene expression analysis. The method is now fully available to all users for their own research scopes and applications.
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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