Czech J. Genet. Plant Breed., X:X | DOI: 10.17221/25/2026-CJGPB
Transcriptomic profiling of shallots (Allium cepa var. aggregatum) reveals differential gene expression patterns under nitrogen deficiencyOriginal Paper
- 1 Research Center for Horticultural Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency, Cibinong, Indonesia
- 2 Research Center for Applied Botany, Research Organization for Life Sciences and Environment, National Research and Innovation Agency, Cibinong, Indonesia
- 3 Research Center for Food Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency, Cibinong, Indonesia
Nitrogen (N) is essential for crop productivity, yet excessive fertilisation decreases the nitrogen use efficiency and increases the environmental risks. Despite the economic and medicinal importance of the shallot, its molecular response to N deficiency remains unclear. We performed transcriptome profiling of two cultivars (Bima-0 and Bima 1) under N deficient and N-sufficient conditions. The RNA sequencing identified 438 differentially expressed genes (DEGs). The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed significant modulation of the nitrogen metabolism, amino acid biosynthesis, glutathione metabolism, and stress responses pathways, indicating coordinated metabolic reprogramming under N limitation. The cultivar-specific expression patterns suggested differential adaptive strategies. The quantitative real-time polymerase chain reaction (qRT-PCR) validation of fifteen DEGs confirmed the reliability of the RNA-Seq results. The nitrogen deficiency predominantly repressed the photosynthetic and growth-linked genes while activating the stress-responsive pathways. These findings provide the first transcriptome-level insights into the N deficiency responses in shallots and identify candidate genes and pathways for improving the nitrogen use efficiency (NUE) and developing the sustainable fertiliser management of Allium crops.
Keywords: DEGs; gene enrichment; gene expression; metabolic pathways; nitrogen use efficiency
Received: February 25, 2026; Revised: April 14, 2026; Accepted: April 30, 2026; Prepublished online: May 26, 2026
Supplementary files:
| Download file | 25-2026_CJGPB_Santoso_ESM.pdf File size: 70.24 kB |
References
- Apel K., Hirt H. (2004): Reactive oxygen species: Metabolism, oxidative stress, and signal transduction. Annual Review of Plant Biology, 55: 373-399.
Go to original source...
Go to PubMed... - Assefa S., Biazin B., Muluneh A., Yimer F., Haileslassie A. (2016): Rainwater harvesting for supplemental irrigation of onions in the southern dry lands of Ethiopia. Agricultural Water Management, 178: 325-334.
Go to original source... - Banerjee N., Biswas S., Hossain C.M., Basak P. (2022): Effectiveness of onion (Allium cepa L.) skin in human health. Chapter 12. In: Contemporary Medical Biotechnology Research for Human Health. London, Academic Press: 115-125.
Go to original source... - Benjamini Y., Hochberg Y. (1995): Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57: 289-300.
Go to original source... - Brady N.C. (1984): The Nature and Properties of Soils. 9th Ed. New York, MacMillan Inc.
- Brown J., Pirrung M., McCue L.A. (2017): FQC dashboard: Integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool. Bioinformatics, 33: 3137-3139.
Go to original source...
Go to PubMed... - Bustin S.A., Benes V., Garson J.A., Hellemans J., Huggett J., Kubista M., Wittwer C.T. (2009): The MIQE guidelines: Minimum information for publication of quantitative real-time PCR experiments. Clinical Chemistry, 55: 611-622.
Go to original source...
Go to PubMed... - Camacho C., Coulouris G., Avagyan V., Ma N., Papadopoulos J., Bealer K., Madden T.L. (2009): BLAST+: Architecture and applications. BMC Bioinformatics, 10: 421.
Go to original source... - Cantalapiedra C.P., Hernández-Plaza A., Letunic I., Bork P., Huerta-Cepas J. (2021): eggNOG-mapper v2: Functional annotation, orthology assignments, and domain prediction at the metagenomic scale. Molecular Biology and Evolution, 38: 5825-5829.
Go to original source... - Chang X., Sun J., Liu L., He W., Zhao B. (2020): Transcriptome analysis of differentially expressed genes in wild jujube seedlings under salt stress. Journal of the American Society for Horticultural Science, 145: 174-185.
Go to original source... - Chen K., Renaut J., Sergeant K., Wei H.U.I., Arora R. (2013): Proteomic changes associated with freeze-thaw injury and post-thaw recovery in onion (Allium cepa L.) scales. Plant, Cell & Environment, 36: 892-905.
Go to original source...
Go to PubMed... - Chen S., Zhou Y., Chen Y., Gu J. (2018): fastp: An ultra-fast all-in-one FASTQ preprocessor. Bioinformatics, 34: i884-i890.
Go to original source... - Duan W., Wang Q., Zhang H., Xie B., Li A., Hou F., Zhang L. (2018): Comparative study on carbon-nitrogen metabolism and endogenous hormone contents in normal and overgrown sweetpotato. South African Journal of Botany, 115: 199-207.
Go to original source... - Eddy S.R. (2009): A new generation of homology search tools based on probabilistic inference. Genome Informatics Series, 23: 205-211.
Go to original source... - FAO (2022): FAOSTAT. Rome, FAO. (accessed March 2023)
- Foyer C.H., Ferrario-Méry S., Noctor G. (2001): Interactions between carbon and nitrogen metabolism. In: Lea P.J., Morot-Gaudry, J.F. (eds): Plant Nitrogen. Berlin, Heidelberg, Springer: 237-254.
Go to original source... - Good A.G., Shrawat A.K., Muench D.G. (2004): Can less yield more? Is reducing nutrient input into the environment compatible with maintaining crop production? Trends in Plant Science, 9: 597-605.
Go to original source...
Go to PubMed... - Hakeem K.R., Chandna R., Ahmad A., Qureshi M.I., Iqbal M. (2012): Proteomic analysis for low and high nitrogen-responsive proteins in the leaves of rice genotypes grown at three nitrogen levels. Applied Biochemistry and Biotechnology, 168: 834-850.
Go to original source...
Go to PubMed... - Huang Y.H., Su T.C., Wang C.H., Wong S.L., Chien Y.H., Wang Y.T., Lee N.C. (2021): RNA-seq of peripheral blood mononuclear cells of congenital generalized lipodystrophy type 2 patients. Scientific Data, 8: 265.
Go to original source... - Iqbal A., Dong Q., Wang X., Gui H., Zhang H., Zhang X., Song M. (2020): Transcriptome analysis reveals differences in key genes and pathways regulating carbon and nitrogen metabolism in cotton genotypes under N starvation and resupply. International Journal of Molecular Sciences, 21: 1500.
Go to original source...
Go to PubMed... - Kuang Q., Zhang S., Wu P., Chen Y., Li M., Jiang H., Wu G. (2017): Global gene expression analysis of the response of physic nut (Jatropha curcas L.) to medium-and long-term nitrogen deficiency. PLoS ONE, 12: e0182700.
Go to original source...
Go to PubMed... - Kuete V. (2017): Allium cepa. Medicinal Spices and Vegetables from Africa: Therapeutic Potential Against Metabolic, Inflammatory, Infectious and Systemic Diseases. London, Academic Press: 353-361.
Go to original source... - Lu L., Zhang Y., Li L., Yi N., Liu Y., Qaseem M.F., Wu A.M. (2021): Physiological and transcriptomic responses to nitrogen deficiency in Neolamarckia cadamba. Frontiers in Plant Science, 12: 747121.
Go to original source...
Go to PubMed... - Mahmood N., Muazzam M.A., Ahmad M., Hussain S., Javed W. (2021): Phytochemistry of Allium cepa L. (onion): An overview of its nutritional and pharmacological importance. Scientific Inquiry and Review, 5: 41-59.
Go to original source... - Mardani N., Jahadi M., Sadeghian M., Keighobadi K., Khosravi-Darani K. (2023): Antimicrobial activities, phenolic and flavonoid contents, antioxidant and DNA protection of the internal and outer layers of Allium cepa L. from Iran. NFS Journal, 31: 93-101.
Go to original source... - Masclaux-Daubresse C., Chardon F. (2011): Exploring nitrogen remobilization for seed filling using natural variation in Arabidopsis thaliana. Journal of Experimental Botany, 62: 2131-2142.
Go to original source... - Masclaux-Daubresse C., Daniel-Vedele F., Dechorgnat J., Chardon F., Gaufichon L., Suzuki A. (2010): Nitrogen uptake, assimilation and remobilization in plants: Challenges for sustainable and productive agriculture. Annals of Botany, 105: 1141-1157.
Go to original source...
Go to PubMed... - Mauceri A., Aci M.M., Toppino L., Panda S., Meir S., Mercati F., Sunseri F. (2022): Uncovering pathways highly correlated to NUE through a combined metabolomics and transcriptomics approach in eggplant. Plants, 11: 700.
Go to original source...
Go to PubMed... - McCallum J., Samantha B., Masayoshi S., Yanbo D., Sjaak van H., Pither-Joyce M., Kenel F. (2012): AlliumMap - A comparative genomics resource for cultivated Allium vegetables. BMC Genomics, 13: 168.
Go to original source...
Go to PubMed... - Mine T., Kuaybe Y.K., Gabriel D., Baohang Z., Pilar H., Turgay U. (2014): Sequencing of plant genomes - A review. Turkish Journal of Agriculture and Forestry, 38: 1-16.
- Naliwajski M.R., Sk³odowska M. (2018): The relationship between carbon and nitrogen metabolism in cucumber leaves acclimated to salt stress. PeerJ, 6: e6043.
Go to original source... - Petersen T.N., Brunak S., Von Heijne G., Nielsen H. (2011): SignalP 4.0: Discriminating signal peptides from transmembrane regions. Nature Methods, 8: 785-786.
Go to original source...
Go to PubMed... - Qin R., Ning C., Björn L.O., Li S. (2016): Proteomic analysis of Allium cepa var. agrogarum L. roots under copper stress. Plant and Soil, 401: 197-212.
Go to original source... - Rashmi D., Barvkar V.T., Nadaf A., Mundhe S., Kadoo N.Y. (2019): Integrative omics analysis in Pandanus odorifer (Forssk.) Kuntze reveals the role of Asparagine synthetase in salinity tolerance. Scientific Reports, 9: 932.
Go to original source...
Go to PubMed... - Reimand J., Isserlin R., Voisin V., Kucera M., Tannus-Lopes C., Rostamianfar A., Bader G.D. (2019): Pathway enrichment analysis and visualization of omics data using g: Profiler, GSEA, Cytoscape and EnrichmentMap. Nature Protocols, 14: 482-517.
Go to original source... - Ricroch A., Yockteng R., Brown S., Nadot S. (2005): Evolution of genome size across some cultivated Allium species. Genome, 48: 511-520.
Go to original source...
Go to PubMed... - Shi P., Gu M. (2020): Transcriptome analysis and differential gene expression profiling of two contrasting quinoa genotypes in response to salt stress. BMC Plant Biology, 20: 568.
Go to original source...
Go to PubMed... - Singh P., Kumar K., Jha A.K., Yadava P., Pal M., Rakshit S., Singh I. (2022): Global gene expression profiling under nitrogen stress identifies key genes involved in nitrogen stress adaptation in maize (Zea mays L.). Scientific Reports, 12: 4211.
Go to original source...
Go to PubMed... - Sinha S.K.V., Amitha M.S., Chaudhary S., Tyagi P., Venkadesan S., Rani M., Mandal P.K. (2018): Transcriptome analysis of two rice varieties contrasting for nitrogen use efficiency under chronic N starvation reveals differences in chloroplast and starch metabolism-related genes. Genes, 9: 206.
Go to original source... - Sulistyaningsih E., Sawitri W.D., Handayani V.D.S., Wicaksono A.W., Silalahi C.M., Murti R.H. (2024): Identification and validation of reference genes for gene expression study using Quantitative Real-Time PCR in shallot (Allium cepa L. Aggregatum group) based on bulb development phase. Biodiversitas Journal of Biological Diversity, 25: 2645-2651.
Go to original source... - Sultana N., Islam S., Juhasz A., Yang R., She M., Alhabbar Z., Ma W. (2020): Transcriptomic study for identification of major nitrogen stress responsive genes in Australian bread wheat cultivars. Frontiers in Genetics, 11: 583785.
Go to original source...
Go to PubMed... - Udvardi M.K., Czechowski T., Scheible W.R. (2008): Eleven golden rules of quantitative RT-PCR. The Plant Cell, 20: 1736-1737.
Go to original source...
Go to PubMed... - Untergasser A., Cutcutache I., Koressaar T., Ye J., Faircloth B.C., Remm M., Rozen S.G. (2012): Primer3-new capabilities and interfaces. Nucleic Acids Research, 40: e115.
Go to original source...
Go to PubMed... - Wei Z., Zeng X., Qin C., Wang Y., Bai L., Xu Q., Nyima T. (2016): Comparative transcriptome analysis revealed genes commonly responsive to varied nitrate stress in leaves of Tibetan hulless barley. Frontiers in Plant Science, 7: 1067.
Go to original source... - Wickham H. (2011): ggplot2. WIREs Computational Statistics, 3: 180-185.
Go to original source... - Xie D.F., Yu Y., Wen J., Huang J., Chen J.P., Li J., Zhou S.D., He X.J. (2020): Phylogeny and highland adaptation of Chinese species in Allium section Daghestanica (Amaryllidaceae) revealed by transcriptome sequencing. Molecular Phylogenetics and Evolution, 146: 106737.
Go to original source...
Go to PubMed... - Young M.D., Wakefield M.J., Smyth G.K., Oshlack A. (2010): Gene ontology analysis for RNA-seq: Accounting for selection bias. Genome Biology, 11: R14.
Go to original source...
Go to PubMed... - Yu G., Wang L.G., Han Y., He Q.Y. (2012): clusterProfiler: An R package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology, 16: 284-287.
Go to original source...
Go to PubMed... - Zhang J.Y., Cun Z., Chen J.W. (2020): Photosynthetic performance and photosynthesis-related gene expression coordinated in a shade-tolerant species Panax notoginseng under nitrogen regimes. BMC Plant Biology, 20: 273.
Go to original source... - Zhang J., Shan L., Duan J., Jin W., Chen S., Cheng Z., Li Y. (2012): De novo assembly and characterisation of the transcriptome during seed development, and generation of genic-SSR markers in peanut (Arachis hypogaea L.). BMC Genomics, 13: 90.
Go to original source...
Go to PubMed... - Zhao C., Ma G., Zhou L., Zhang S., Su L., Sun X., Zhao L. (2021): Effects of nitrogen levels on gene expression and amino acid metabolism in Welsh onion. BMC Genomics, 22: 803.
Go to original source...
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.

