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
UDP-dependent glycosyltransferases (UGTs) play a critical role in producing glycosylated metabolites that mediate plant-environment interactions. Recent studies have examined the role of <i>UGT</i> genes across various plant genomes. However, the evolutionary history and functional divergence of the <i>UGT</i> pan-gene family in the genus <i>Solanum</i> have not yet been explored. This study integrated data from 61 tomatoes and 9 representative genomes, ranging from algae to angiosperms, to identify 12 073 genes. The phylogeny of the UGT gene family reveals a clear evolutionary trajectory from unicellular algae to ferns, mosses, gymnosperms, and angiosperms. The study identified a significant number of tomato-specific <i>UGT</i> genes and explored the expansions of <i>UGT73</i> and <i>UGT85</i> subfamilies. The entire <i>UGT</i> genes (10 769) in tomato were classified into 118 orthologous gene groups, including 58 core, 31 softcore, 10 dispensable, 19 private orthologous gene groups, and the core groups contained 7811 genes, representing 72.53% of the total <i>UGT</i> genes. Analysis of gene family expansion revealed that whole-genome triplication and tandem duplication events play significant roles in the expansion of the <i>UGT</i> gene family. Selection pressure analysis revealed that the <i>UGT</i> genes experienced purifying selection in the genus <i>Solanum</i>. Additionally, expression profiles of some <i>UGT</i> genes in different tissues demonstrated expression divergence of multicopy genes across different <i>UGT</i> subfamilies due to the increase in gene dosage. Subcellular localization prediction revealed that most genes are localized in the chloroplast. These findings provide critical insights into the evolution and function of the <i>UGT</i> genes in tomato, laying a foundation for further exploration in adaptive evolution.
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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