LSD 3.0: a comprehensive resource for the leaf senescence research community

被引:69
作者
Li, Zhonghai [1 ]
Zhang, Yang [2 ,3 ,4 ]
Zou, Dong [2 ,3 ]
Zhao, Yi [5 ]
Wang, Hou-Ling [1 ]
Zhang, Yi [1 ]
Xia, Xinli [1 ,6 ]
Luo, Jingchu [5 ,7 ]
Guo, Hongwei [1 ,8 ]
Zhang, Zhang [2 ,3 ,4 ]
机构
[1] Beijing Forestry Univ, Beijing Adv Innovat Ctr Tree Breeding Mol Design, Beijing 100083, Peoples R China
[2] Natl Genom Data Ctr, Beijing 100101, Peoples R China
[3] Chinese Acad Sci, Beijing Inst Genom, Beijing 100101, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[5] Peking Univ, Coll Life Sci, Beijing 100871, Peoples R China
[6] Beijing Forestry Univ, Natl Engn Lab Tree Breeding, Coll Biol Sci & Biotechnol, Beijing 100083, Peoples R China
[7] Peking Univ, Ctr Bioinformat, Beijing 100871, Peoples R China
[8] Southern Univ Sci & Technol, SUSTech, Dept Biol, Inst Plant & Food Sci, Shenzhen 518055, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
TRANSCRIPTION FACTOR; CELL-DEATH; MIR164; ACID; GENE;
D O I
10.1093/nar/gkz898
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The leaf senescence database (LSD) is a comprehensive resource of senescence-associated genes (SAGs) and their corresponding mutants. Through manual curation and extensive annotation, we updated the LSD to a new version LSD 3.0, which contains 5853 genes and 617 mutants from 68 species. To provide sustainable and reliable services for the plant research community, LSD 3.0 (https://bigd.big.ac.cn/lsd/) has been moved to and maintained by the National Genomics Data Center at Beijing Institute of Genomics, Chinese Academy of Sciences. In the current release, we added some new features: (i) Transcriptome data of leaf senescence in poplar were integrated; (ii) Leaf senescence-associated transcriptome data information in Arabidopsis, rice and soybean were included; (iii) Senescence-differentially expressed small RNAs (Sen-smRNA) in Arabidopsis were identified; (iv) Interaction pairs between Sen-smRNAs and senescence-associated transcription factors (Sen-TF) were established; (v) Senescence phenotypes of 90 natural accessions (ecotypes) and 42 images of ecotypes in Arabidopsis were incorporated; (vi) Mutant seed information of SAGs in rice obtained from Kitbase was integrated; (vii) New options of search engines for ecotypes and transcriptome data were implemented. Together, the updated database bears great utility to continue to provide users with useful resources for studies of leaf senescence.
引用
收藏
页码:D1069 / D1075
页数:7
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