ABSTRACT: This project constructed a multiomics (proteome, metabolome, and transcriptome) database on the response of purslane (Portulaca oleracea L.) plants to salt stress and subsequently started to employ Single-omics (SOA) and Multi-omics Integration (MOI) strategies to characterize the molecular basis of the resistance to salinity stress found in this halophyte species. After evaluating the morpho-physiological responses of purslane plants to salinity stress using a robust salinity stress protocol developed in-house, leaves, and roots were used to generate the database. The proteome data from five plants (control and salt-stressed - leaf and root) was generated and then submitted to the MaxQuant software version 2.1.3.0 for protein identification and abundance, generating a .txt file named “proteinsgroups” that underwent statistical analysis in Perseus software version 2.0.5.0. Here the data and results of the proteome part of the project are presented. For additional information, please read: Silva, V. N. B., da Silva, T. L. C., Ferreira, T. M. M., Neto, J. C. R., Leão, A. P., de Aquino Ribeiro, J. A., Abdelnur, P. V., Valadares, L. F., de Sousa, C. A. F., & Júnior, M. T. S. (2022). Multi-omics Analysis of Young Portulaca oleracea L. Plants' Responses to High NaCl Doses Reveals Insights into Pathways and Genes Responsive to Salinity Stress in this Halophyte Species. Phenomics (Cham, Switzerland), 3(1), 1–21. https://doi.org/10.1007/s43657-022-00061-2
Manoel Teixeira Souza Júnior 
