ArticlePlant cell reports2015
An annotated database of Arabidopsis mutants of acyl lipid metabolism.
Article in Plant cell reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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27 citing papers in PubMed, 67 citations in OpenAlex.
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- Integration of GWAS and transcriptome and haplotype analyses to identify QTNs and candidate genes controlling oil content in soybean seeds.Scientific reports · 2025Article
- A data-integrative modeling approach accurately characterizes the effects of mutations on Arabidopsis lipid metabolism.Plant physiology · 2025Article
- Towards rational control of seed oil composition: dissecting cellular organization and flux control of lipid metabolism.Plant physiology · 2025Review
- Go with the flux: Modeling accurately predicts phenotypes of Arabidopsis lipid mutants.Plant physiology · 2024Article
- Transcriptional regulatory network reveals key transcription factors for regulating agronomic traits in soybean.Genome biology · 2024Article
- Deuterium- and Alkyne-Based Bioorthogonal Raman Probes for In Situ Quantitative Metabolic Imaging of Lipids within Plants.JACS Au · 2023Article
- High-gradient magnetic fields and starch metabolism: results from a space experiment.Scientific reports · 2022Article
- Identification and analysis of oil candidate genes reveals the molecular basis of cottonseed oil accumulation in Gossypium hirsutum L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- An expanded role for the transcription factorFrontiers in plant science · 2022Article
- Metabolization and sequestration of plant specialized metabolites in insect herbivores: Current and emerging approaches.Frontiers in physiology · 2022Review
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- Genetic mapping and candidate gene identification of BoGL5, a gene essential for cuticular wax biosynthesis in broccoli.BMC genomics · 2021Article
- A Tree Peony Trihelix Transcription Factor PrASIL1 Represses Seed Oil Accumulation.Frontiers in plant science · 2021Article
- DifferentFrontiers in plant science · 2021Article
- Accelerating gene function discovery by rapid phenotyping of fatty acid composition and oil content of single transgenic TPlant direct · 2020Article
- Deciphering the transcriptional regulatory networks that control size, color, and oil content inBiotechnology for biofuels · 2020Article
- Gene expression profiles that shape high and low oil content sesames.BMC genetics · 2019Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageWe have constructed and annotated a web-based database of over 280 Arabidopsis genes that have characterized mutants associated with Arabidopsis acyl lipid metabolism. Mutants have played a fundamental role in gene discovery and in understanding the function of genes involved in plant acyl lipid metabolism. The first mutant in Arabidopsis lipid metabolism (fad4) was described in 1985. Since that time, characterization of mutants in more than 280 genes associated with acyl lipid metabolism has been reported. This review provides a brief background and history on identification of mutants in acyl lipid metabolism, an analysis of the distribution of mutants in different areas of acyl lipid metabolism and presents an annotated database (ARALIPmutantDB) of these mutants. The database provides information on the phenotypes of mutants, pathways and enzymes/proteins associated with the mutants, and allows rapid access via hyperlinks to summaries of information about each mutant and to literature that provides information on the lipid composition of the mutants. In addition, the database of mutants is integrated within the ARALIP plant acyl lipid metabolism website ( http://aralip.plantbiology.msu.edu ) so that information on mutants is displayed on and can be accessed from metabolic pathway maps. Mutants for at least 30% of the genes in the database have multiple names, which have been compiled here to reduce ambiguities in searches for information. The database should also provide a tool for exploring the relationships between mutants in acyl lipid-related genes and their lipid phenotypes and point to opportunities for further research.
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