ArticleNucleic acids research2020
LSD 3.0: a comprehensive resource for the leaf senescence research community.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- SnRK2.6 phosphorylates sucrose transporter ZmSUT1 to enhance yield by modulating leaf senescence in maize.Science advances · 2026Article
- Molecular and Physiological Regulation of Premature Leaf Senescence in Rice.Plants (Basel, Switzerland) · 2026Review
- A single-base mutation on the 5' UTR of BrATG5 confers the premature leaf senescence phenotype in Chinese cabbage.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Natural Variation ofInternational journal of molecular sciences · 2025Article
- WHIRLY proteins, multi-layer regulators linking the nucleus and organelles in developmental and stress-induced senescence of plants.Annals of botany · 2024Review
- Identification of Novel Regulators of Leaf Senescence Using a Deep Learning Model.Plants (Basel, Switzerland) · 2024Article
- Plant genomic resources at National Genomics Data Center: assisting in data-driven breeding applications.aBIOTECH · 2024Review
- PPGR: a comprehensive perennial plant genomes and regulation database.Nucleic acids research · 2024Article
- The genetically programmed rhythmic alteration of diurnal gene expression in the agedFrontiers in plant science · 2024Article
- Rice Basic Helix-Loop-Helix 079 (OsbHLH079) Delays Leaf Senescence by Attenuating ABA Signaling.Rice (New York, N.Y.) · 2023Article
- Analysis of Nitrogen Dynamics and Transcriptomic Activity Revealed a Pivotal Role of Some Amino Acid Transporters in Nitrogen Remobilization in Poplar Senescing Leaves.Plants (Basel, Switzerland) · 2023Article
- Mutation of a highly conserved amino acid in RPM1 causes leaf yellowing and premature senescence in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Mapping QTL conferring flag leaf senescence in durum wheat cultivars.Molecular breeding : new strategies in plant improvement · 2023Article
- Abiotic Stress-Induced Leaf Senescence: Regulatory Mechanisms and Application.International journal of molecular sciences · 2023Review
- Salicylic acid metabolism and signalling coordinate senescence initiation in aspen in nature.Nature communications · 2023Article
- The NAC transcription factor MdNAC4 positively regulates nitrogen deficiency-induced leaf senescence by enhancing ABA biosynthesis in apple.Molecular horticulture · 2023Article
- Orthologs of Human-Disease-Associated Genes in Plants Are Involved in Regulating Leaf Senescence.Life (Basel, Switzerland) · 2023Article
- Comprehensive transcriptomic analysis of age-, dark-, and salt-induced senescence reveals underlying mechanisms and key regulators of leaf senescence inFrontiers in plant science · 2023Article
- Genome-Wide Identification and Expression Analysis of Senescence-Associated Genes in Grapevine (International journal of molecular sciences · 2022Article
- LSD 4.0: an improved database for comparative studies of leaf senescence.Molecular horticulture · 2022Article
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10 authors.
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Abstract
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.
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