Multivariate screening of upland cotton genotypes reveals key traits for salt tolerance at the seedling stage.
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| Název: | Multivariate screening of upland cotton genotypes reveals key traits for salt tolerance at the seedling stage. |
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| Autoři: | Anwar Z; Nuclear Institute for Agriculture and Biology College (NIAB-C),Faisalabad 38000, Pakistan, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, 45650, Pakistan., Ditta A; Nuclear Institute for Agriculture and Biology College (NIAB-C),Faisalabad 38000, Pakistan, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, 45650, Pakistan.; Nuclear Institute for Agriculture and Biology (NIAB), 38000, Faisalabad, Pakistan., Riaz Khan MK; Nuclear Institute for Agriculture and Biology College (NIAB-C),Faisalabad 38000, Pakistan, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, 45650, Pakistan. mkrkhan@gmail.com.; Nuclear Institute for Agriculture and Biology (NIAB), 38000, Faisalabad, Pakistan. mkrkhan@gmail.com. |
| Zdroj: | BMC plant biology [BMC Plant Biol] 2025 Oct 23; Vol. 25 (1), pp. 1448. Date of Electronic Publication: 2025 Oct 23. |
| Způsob vydávání: | Journal Article |
| Jazyk: | English |
| Informace o časopise: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : BioMed Central, [2001- |
| Výrazy ze slovníku MeSH: | Gossypium*/genetics , Gossypium*/physiology , Gossypium*/growth & development , Gossypium*/drug effects , Seedlings*/genetics , Seedlings*/physiology , Seedlings*/growth & development , Seedlings*/drug effects , Salt Tolerance*/genetics, Genotype ; Multivariate Analysis ; Sodium Chloride/pharmacology ; Salt Stress ; Plant Roots/physiology ; Oxidative Stress |
| Abstrakt: | Competing Interests: Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests. Background: Soil salinity poses a serious threat to cotton production worldwide by impairing growth, yield, and fiber quality. Salt stress disrupts key morphological, physiological, and biochemical processes in cotton plants, leading to considerable reductions in productivity. Therefore, identifying salt-tolerant cotton genotypes is essential for improving crop performance in saline environments. Methods: In this study, fifty-one cotton genotypes were evaluated for their response to salinity stress at the seedling stage. Plants were grown in hydroponic culture under controlled glasshouse conditions and subjected to 200 mM NaCl to simulate salt stress. The experiment followed a completely randomized design (CRD) with three replications, and data were analyzed using two-way analysis of variance (ANOVA) and multivariate approaches, including principal component analysis (PCA), heatmap analysis, and the multi-trait genotype-ideotype distance index (MGIDI). Results: ANOVA showed significant variation among genotypes for all traits. Salt stress caused significant reductions in growth traits, including shoot and root length, fresh and dry biomass, water relation traits, gaseous exchange traits and photosynthetic pigments. In contrast, excised leaf water loss (ELWL), sodium (Na + )accumulation in roots and shoots, oxidative stress markers like hydrogen peroxide (H₂O₂) and malondialdehyde (MDA), osmolytes including proline, glycine betaine (GB), and saponin, and antioxidant enzyme activities like superoxide dismutase (SOD), peroxidase (POD), catalase (CAT) increased, while potassium contents (K + ) and sodium to potassium ratio (K⁺/Na + ) decreased. Under control conditions, PCA showed little variation, whereas under salt stress, it explained 64.8% of the variance and separated growth- from stress-related traits. Heatmap analysis confirmed these patterns and grouped genotypes into three clusters based on ion homeostasis and oxidative stress traits. MGIDI index integrated all traits into a single score and identified superior genotypes like G2 (NIAB-868), G22 (NIA-Noori), G32 (FH-530), G3 (NIAB-878-B), G49 (FH-911), G28 (FH-416), G33 (FH-534), and G39 (FH-546). Conclusion: These findings suggest that multivariate and multi-trait screening at the seedling stage is a useful method for identifying cotton germplasm with salt tolerance, providing a foundation for breeding programs and further field evaluation that may contribute to stable yields under saline conditions. (© 2025. The Author(s).) |
| References: | Plants (Basel). 2023 Jun 08;12(12):. (PMID: 37375879) Sci Rep. 2016 Oct 04;6:34548. (PMID: 27698468) Microbiol Res. 2021 Jan;242:126616. (PMID: 33115624) BMC Plant Biol. 2020 Sep 21;20(1):434. (PMID: 32957907) Plant Physiol Biochem. 2017 Oct;119:121-131. (PMID: 28866234) Plant Cell Rep. 2024 Jul 30;43(8):203. (PMID: 39080075) Genes (Basel). 2023 Sep 20;14(9):. (PMID: 37761965) Physiol Plant. 2021 Apr;171(4):578-594. (PMID: 32770745) Sci Rep. 2019 Aug 15;9(1):11912. (PMID: 31417134) Cells. 2021 Aug 07;10(8):. (PMID: 34440792) J Exp Bot. 2001 May;52(358):1101-9. (PMID: 11432926) Plant Signal Behav. 2022 Dec 31;17(1):2031782. (PMID: 35192777) Funct Integr Genomics. 2023 May 26;23(2):183. (PMID: 37233833) BMC Plant Biol. 2024 Jan 2;24(1):20. (PMID: 38166652) Plants (Basel). 2021 Apr 27;10(5):. (PMID: 33925375) Plant Physiol Biochem. 2019 Feb;135:77-86. (PMID: 30513478) Sci Rep. 2023 Feb 18;13(1):2895. (PMID: 36807545) PLoS One. 2014 Nov 12;9(11):e112807. (PMID: 25391141) Physiol Plant. 2023 May-Jun;175(3):e13950. (PMID: 37291799) Sci Rep. 2024 Jan 12;14(1):1214. (PMID: 38216610) Plant Physiol Biochem. 2020 Nov;156:64-77. (PMID: 32906023) Ann Bot. 2009 Feb;103(4):551-60. (PMID: 18662937) Ann Bot. 2003 Apr;91(5):503-27. (PMID: 12646496) Plant J. 2019 Jan;97(1):148-163. (PMID: 30548719) Front Plant Sci. 2017 Jun 23;8:1077. (PMID: 28690620) Annu Rev Plant Biol. 2008;59:651-81. (PMID: 18444910) Int J Environ Res Public Health. 2022 Jul 20;19(14):. (PMID: 35886646) Sci Rep. 2020 Dec 14;10(1):21844. (PMID: 33318587) Front Plant Sci. 2021 Apr 13;12:639104. (PMID: 33927736) Front Plant Sci. 2022 May 03;13:860111. (PMID: 35592567) Plant Physiol. 1977 Feb;59(2):309-14. (PMID: 16659839) Physiol Mol Biol Plants. 2019 Jul;25(4):807-820. (PMID: 31402811) Int J Mol Sci. 2019 Sep 24;20(19):. (PMID: 31554168) Plant J. 2020 Mar;101(5):1135-1151. (PMID: 31642116) Plant Cell Physiol. 2003 Dec;44(12):1378-83. (PMID: 14701933) Int J Mol Sci. 2022 Jan 29;23(3):. (PMID: 35163525) Plant Signal Behav. 2021 Aug 3;16(8):1913306. (PMID: 34134596) Front Plant Sci. 2025 Jan 23;15:1489380. (PMID: 39917600) Life (Basel). 2022 Sep 30;12(10):. (PMID: 36294965) J Dev Biol. 2016 Feb 04;4(1):. (PMID: 29615577) Life (Basel). 2024 May 07;14(5):. (PMID: 38792616) Physiol Rev. 2015 Oct;95(4):1321-58. (PMID: 26336033) BMC Plant Biol. 2021 Jul 10;21(1):331. (PMID: 34246235) Plant Physiol Biochem. 2016 Feb;99:108-17. (PMID: 26744996) Plant Signal Behav. 2012 Nov;7(11):1456-66. (PMID: 22951402) Genes (Basel). 2023 May 18;14(5):. (PMID: 37239463) BMC Plant Biol. 2025 May 5;25(1):587. (PMID: 40320527) AoB Plants. 2016 Oct 27;8:. (PMID: 27543452) Sensors (Basel). 2022 Sep 23;22(19):. (PMID: 36236324) |
| Contributed Indexing: | Keywords: Antioxidant enzymes; Cotton; Ion homeostasis; K⁺/Na⁺ ratio; MGIDI index; Multivariate analysis; Osmotic adjustment; Salinity stress |
| Substance Nomenclature: | 451W47IQ8X (Sodium Chloride) |
| Entry Date(s): | Date Created: 20251023 Date Completed: 20251024 Latest Revision: 20251027 |
| Update Code: | 20251027 |
| PubMed Central ID: | PMC12548190 |
| DOI: | 10.1186/s12870-025-07354-4 |
| PMID: | 41131482 |
| Databáze: | MEDLINE |
| Abstrakt: | Competing Interests: Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.<br />Background: Soil salinity poses a serious threat to cotton production worldwide by impairing growth, yield, and fiber quality. Salt stress disrupts key morphological, physiological, and biochemical processes in cotton plants, leading to considerable reductions in productivity. Therefore, identifying salt-tolerant cotton genotypes is essential for improving crop performance in saline environments.<br />Methods: In this study, fifty-one cotton genotypes were evaluated for their response to salinity stress at the seedling stage. Plants were grown in hydroponic culture under controlled glasshouse conditions and subjected to 200 mM NaCl to simulate salt stress. The experiment followed a completely randomized design (CRD) with three replications, and data were analyzed using two-way analysis of variance (ANOVA) and multivariate approaches, including principal component analysis (PCA), heatmap analysis, and the multi-trait genotype-ideotype distance index (MGIDI).<br />Results: ANOVA showed significant variation among genotypes for all traits. Salt stress caused significant reductions in growth traits, including shoot and root length, fresh and dry biomass, water relation traits, gaseous exchange traits and photosynthetic pigments. In contrast, excised leaf water loss (ELWL), sodium (Na <sup>+</sup> )accumulation in roots and shoots, oxidative stress markers like hydrogen peroxide (H₂O₂) and malondialdehyde (MDA), osmolytes including proline, glycine betaine (GB), and saponin, and antioxidant enzyme activities like superoxide dismutase (SOD), peroxidase (POD), catalase (CAT) increased, while potassium contents (K <sup>+</sup> ) and sodium to potassium ratio (K⁺/Na <sup>+</sup> ) decreased. Under control conditions, PCA showed little variation, whereas under salt stress, it explained 64.8% of the variance and separated growth- from stress-related traits. Heatmap analysis confirmed these patterns and grouped genotypes into three clusters based on ion homeostasis and oxidative stress traits. MGIDI index integrated all traits into a single score and identified superior genotypes like G2 (NIAB-868), G22 (NIA-Noori), G32 (FH-530), G3 (NIAB-878-B), G49 (FH-911), G28 (FH-416), G33 (FH-534), and G39 (FH-546).<br />Conclusion: These findings suggest that multivariate and multi-trait screening at the seedling stage is a useful method for identifying cotton germplasm with salt tolerance, providing a foundation for breeding programs and further field evaluation that may contribute to stable yields under saline conditions.<br /> (© 2025. The Author(s).) |
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| ISSN: | 1471-2229 |
| DOI: | 10.1186/s12870-025-07354-4 |
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