Decoding the Saline-Alkaline Tolerance Nexus in Soybean: A Dual-method Evaluation Model Coupled with Co-expression Networks Identifies Core Regulatory Genes

Decoding the Saline-Alkaline Tolerance Nexus in Soybean: A Dual-method Evaluation Model Coupled with Co-expression Networks Identifies Core Regulatory Genes | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 17 June 2025 V1 Latest version Share on Decoding the Saline-Alkaline Tolerance Nexus in Soybean: A Dual-method Evaluation Model Coupled with Co-expression Networks Identifies Core Regulatory Genes Authors : Fei Liu , Xionghui Bai , Mengjiao Li , Aijing Hao , and Baolong Xing [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.175016364.41946140/v1 175 views 126 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Soybean ( Glycine max ) growth is severely constrained by the high salt content of saline-alkali soils, leading to substantial declines in yield and quality. Enhancing soybean tolerance to saline-alkali stress has significant economic and ecological implications. However, current investigations into the regulatory mechanisms underlying soybean responses to such stress, particularly those integrating physiological traits with transcriptomic analyses, remain inadequate. In this study, seven physiological indicators exhibited significant variation among soybean cultivars grown under saline-alkali versus normal conditions, with notable correlations observed among their rates of change. The salt tolerance rankings derived through principal component analysis (PCA) combined with the membership function value method were robustly validated using the technique for order preference by similarity to an ideal solution (TOPSIS), establishing a reliable evaluation and verification framework. Through the analysis of differentially expressed genes in the transcriptome, a total of 4,582 genes were found to be differentially expressed, among which 39 genes were differentially expressed in all tissues and varieties. Enrichment analysis revealed that different expressed genes were predominantly involved in stress response and metabolic regulation pathways. Weighted gene co-expression network analysis (WGCNA) further identified the gene modules closely associated with each physiological trait. By integrating the DEGs with module hub genes, 13 core candidate genes were identified. Functional annotation and promoter analysis of these genes preliminarily revealed potential regulatory pathways conferring salt tolerance. Collectively, these findings provide a comprehensive basis for elucidating the molecular mechanisms of soybean adaptation to saline-alkali conditions. Supplementary Material File (decoding_the_saline-alkaline_tolerance_nexus_in_soybean.docx) Download 2.09 MB Information & Authors Information Version history V1 Version 1 17 June 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords ranking model saline-alkali soybean wgcna growth transcriptome Authors Affiliations Fei Liu High Latitude Crops Institute to Shanxi Academy View all articles by this author Xionghui Bai Shanxi Agricultural University View all articles by this author Mengjiao Li High Latitude Crops Institute to Shanxi Academy View all articles by this author Aijing Hao High Latitude Crops Institute to Shanxi Academy View all articles by this author Baolong Xing [email protected] Shanxi Agricultural University View all articles by this author Metrics & Citations Metrics Article Usage 175 views 126 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Fei Liu, Xionghui Bai, Mengjiao Li, et al. Decoding the Saline-Alkaline Tolerance Nexus in Soybean: A Dual-method Evaluation Model Coupled with Co-expression Networks Identifies Core Regulatory Genes. Authorea . 17 June 2025. DOI: https://doi.org/10.22541/au.175016364.41946140/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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