Studies on salt adaptation in Sesuvium portulacastrum (L.) L. using molecular and biotechnological approaches

Supplementary content of Ph.D. thesis entitled "Studies on salt adaptation in Sesuvium portulacastrum (L.) L. using molecular and biotechnological approaches" by Mr. Jayant Anant Kulkarni This data includes following components Mendeley Table 1: Key findings from the metabolomic studies in different halophytes under salt stress. Findings demonstrated salinity induced metabolic regulations in halophytes. Mendeley Table 2: Key findings from the transcriptomic studies in different halophytes under salt stress. Findings demonstrated salinity induced molecular regulations in halophytes. Mendeley Table 3: Categorization of detected metabolites in different functional groups after performing GC-MS based metabolite profiling in Sesuvium portulacastrum. Mendeley Table 4: KEGG pathway enrichment analysis of altered metabolites at NR8 after performing GC-MS based metabolite profiling in Sesuvium portulacastrum. Mendeley Table 5: KEGG pathway enrichment analysis of altered metabolites at NR24 after performing GC-MS based metabolite profiling in Sesuvium portulacastrum. Mendeley Table 6: KEGG pathway enrichment analysis of altered metabolites at NS8 after performing GC-MS based metabolite profiling in Sesuvium portulacastrum. Mendeley Table 7: KEGG pathway enrichment analysis of altered metabolites at NS24 after performing GC-MS based metabolite profiling in Sesuvium portulacastrum. Mendeley Table 8: Meta-analysis of GC-MS based metabolite profiling in different halophytes under salt stress from seven studies (30 datasets). Significantly altered metabolites were identified for pathway analysis and the pathways were ranked using a cumulative pathway score (CPS). Table represents 1) Altered metabolites according to altered pathways, along with metabolite code and Log2 fold change in root and shoot. 2) Ranking of metabolic pathways according to CPS Mendeley Supplementary method 1: Correlation of experimental data with theoretical models.

本数据集为杰扬特·阿南特·库尔卡尼（Jayant Anant Kulkarni）先生题为《基于分子与生物技术方法研究海马齿（Sesuvium portulacastrum (L.) L.）的盐适应机制》的博士论文补充内容。本数据集包含以下组成部分：1. 曼德利（Mendeley）表1：不同盐生植物在盐胁迫下代谢组学研究的核心发现，研究结果证实盐胁迫可诱导盐生植物发生代谢调控；2. 曼德利（Mendeley）表2：不同盐生植物在盐胁迫下转录组学研究的核心发现，研究结果证实盐胁迫可诱导盐生植物发生分子调控；3. 曼德利（Mendeley）表3：基于气相色谱-质谱联用（GC-MS）技术对海马齿开展代谢物轮廓分析后，对其检测到的代谢物按不同功能类别的归类结果；4. 曼德利（Mendeley）表4：基于GC-MS技术对海马齿开展代谢物轮廓分析后，对NR8时间点差异代谢物进行的京都基因与基因组百科全书（KEGG）通路富集分析结果；5. 曼德利（Mendeley）表5：基于GC-MS技术对海马齿开展代谢物轮廓分析后，对NR24时间点差异代谢物进行的KEGG通路富集分析结果；6. 曼德利（Mendeley）表6：基于GC-MS技术对海马齿开展代谢物轮廓分析后，对NS8时间点差异代谢物进行的KEGG通路富集分析结果；7. 曼德利（Mendeley）表7：基于GC-MS技术对海马齿开展代谢物轮廓分析后，对NS24时间点差异代谢物进行的KEGG通路富集分析结果；8. 曼德利（Mendeley）表8：基于7项研究（共30个数据集）开展的盐胁迫下不同盐生植物GC-MS代谢物轮廓分析的荟萃分析。本研究鉴定了可用于通路分析的显著差异代谢物，并通过累积通路得分（CPS）对通路进行排序。该表格包含两项内容：① 基于差异通路的差异代谢物信息，附带代谢物编码以及根与地上部分的log₂倍变化值；② 基于累积通路得分的代谢通路排名；9. 曼德利（Mendeley）补充方法1：实验数据与理论模型的相关性分析。