ArticlePlant biotechnology journal2023
Milletdb: a multi-omics database to accelerate the research of functional genomics and molecular breeding of millets.
Article in Plant biotechnology journal, 2023. 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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Who cites it
27 citing papers in PubMed.
- Genome analysis of Channel millet reveals a wild dodecaploid shaped by environmental variability.Nature communications · 2026Article
- Single-cell chromatin accessibility and cis-regulatory element analyses in plants using the scPlantReg platform.Nature plants · 2026Article
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- Epigenetic maps of pearl millet reveal a prominent role for CHH methylation in regulating tissue-specific gene expression.aBIOTECH · 2025Article
- Toward improving multiomic research in understudied cereals.Nature genetics · 2025Review
- Plant-derived vesicle-like nanoparticles in food crops: emerging insights into nutritional biofortification and biomedical applications.Plant biotechnology journal · 2025Review
- Genome-wide analysis of C-repeat binding factor (CBF) family members in Pennisetum glaucum and the function of PgCBF21 under cold stress.BMC plant biology · 2025Article
- Millets for a sustainable future.Journal of experimental botany · 2025Review
- EGDB: A comprehensive multi-omics database for energy grasses and the epigenomic atlas of pearl millet.iMeta · 2025Article
- Development of Genome-Wide SSR Markers inInternational journal of molecular sciences · 2025Article
- Comprehensive analysis of housekeeping genes, tissue-specific genes, and dynamic regulation across developmental stages in pearl millet.BMC genomics · 2024Article
- Genomic resources, opportunities, and prospects for accelerated improvement of millets.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- Genome-wide analysis of the WRKY gene family and their response to low-temperature stress in elephant grass.BMC genomics · 2024Article
- Genomic selection for agronomical phenotypes using genome-wide SNPs and SVs in pearl millet.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Review
- A Spatiotemporal Transcriptome Reveals Stalk Development in Pearl Millet.International journal of molecular sciences · 2024Article
- Exploration of the pearl millet phospholipase gene family to identify potential candidates for grain quality traits.BMC genomics · 2024Article
- DNAJ protein gene expansion mechanism in Panicoideae and PgDNAJ functional identification in pearl millet.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
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Authors and funding
28 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Millets are a class of nutrient-rich coarse cereals with high resistance to abiotic stress; thus, they guarantee food security for people living in areas with extreme climatic conditions and provide stress-related genetic resources for other crops. However, no platform is available to provide a comprehensive and systematic multi-omics analysis for millets, which seriously hinders the mining of stress-related genes and the molecular breeding of millets. Here, a free, web-accessible, user-friendly millets multi-omics database platform (Milletdb, http://milletdb.novogene.com) has been developed. The Milletdb contains six millets and their one related species genomes, graph-based pan-genomics of pearl millet, and stress-related multi-omics data, which enable Milletdb to be the most complete millets multi-omics database available. We stored GWAS (genome-wide association study) results of 20 yield-related trait data obtained under three environmental conditions [field (no stress), early drought and late drought] for 2 years in the database, allowing users to identify stress-related genes that support yield improvement. Milletdb can simplify the functional genomics analysis of millets by providing users with 20 different tools (e.g., 'Gene mapping', 'Co-expression', 'KEGG/GO Enrichment' analysis, etc.). On the Milletdb platform, a gene PMA1G03779.1 was identified through 'GWAS', which has the potential to modulate yield and respond to different environmental stresses. Using the tools provided by Milletdb, we found that the stress-related PLATZs TFs (transcription factors) family expands in 87.5% of millet accessions and contributes to vegetative growth and abiotic stress responses. Milletdb can effectively serve researchers in the mining of key genes, genome editing and molecular breeding of millets.
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