Research Article

Evaluating PGPR traits coupling under mutagenesis: A phenotypic and statistical framework for targeted improvement

Volume: 32 Number: 4 October 12, 2026

Evaluating PGPR traits coupling under mutagenesis: A phenotypic and statistical framework for targeted improvement

Abstract

Understanding the functional coupling between key PGP traits is crucial as PGPR use multiple mechanisms to promote plant growth and nutrition. This study uses UV mutagenesis to generate diversity in Stenotrophomonas maltophilia GZB27, applying a phenotypic statistical framework to evaluate coupling between indole-3-acetic acid production and phosphate solubilization for targeted improvement. UV exposure time inversely correlated with survival; 8.4 minutes achieved the target 5% viability threshold. Significant variation in IAA production occurred among 19 mutants compared to the wild type (18.19 µg/mL): nine hyperproducers (peak in M6, +33.5%; 24.28 µg/mL) and three strains with reduced biosynthesis (e.g., M16, −31.1%; 12.54 µg/mL) were identified. Significant variation in phosphate solubilization was observed among 19 mutants versus wild type (249.00 µg/mL): seven hyper efficient solubilizers (peak in M14: +62.1%; 403.67 µg/mL) and two with reduced capacity (e.g., M6: -50.1%; 124.33 µg/mL) were identified. Three integrated statistical methods were used to evaluate metabolic coupling between phosphate solubilization and IAA production in PGPR mutants. Spearman's correlation (ρ=0.213, p=0.368) revealed no significant population-level relationship, visually confirmed by dispersed data points indicating strain-specific autonomy. Antagonistic profiling quantified a strong functional trade-off via the Antagonism Index (AI), with mutants specializing in high PS (e.g., M3, M17) exhibiting reduced IAA, and vice-versa (e.g., M6, M10); only rare strains such as M4 showed balanced traits. Phenotypic Pleiotropy Modelling found predominantly neutral indices (41% of strains) and no significant trait correlation (Pearson r=0.245, p=0.2983), indicating minimal genetic constraint between traits. This multi-scale evaluation suggested genetically distinct bases governing PS and IAA

Keywords

References

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Details

Primary Language

English

Subjects

Soil Biology, Soil Microbiology, Soil Sciences and Plant Nutrition (Other)

Journal Section

Research Article

Publication Date

October 12, 2026

Submission Date

October 29, 2025

Acceptance Date

June 9, 2026

Published in Issue

Year 2026 Volume: 32 Number: 4

APA
Hamoum, H., Chibani, H. R., Bouznad, A., Naimi, M., & Chibani, A. (2026). Evaluating PGPR traits coupling under mutagenesis: A phenotypic and statistical framework for targeted improvement. Journal of Agricultural Sciences, 32(4), 1118-1131. https://doi.org/10.15832/ankutbd.1812966
AMA
1.Hamoum H, Chibani HR, Bouznad A, Naimi M, Chibani A. Evaluating PGPR traits coupling under mutagenesis: A phenotypic and statistical framework for targeted improvement. J Agr Sci-Tarim Bili. 2026;32(4):1118-1131. doi:10.15832/ankutbd.1812966
Chicago
Hamoum, Hakim, Hiba Rahman Chibani, Ahcen Bouznad, Mehdi Naimi, and Abdelouaheb Chibani. 2026. “Evaluating PGPR Traits Coupling under Mutagenesis: A Phenotypic and Statistical Framework for Targeted Improvement”. Journal of Agricultural Sciences 32 (4): 1118-31. https://doi.org/10.15832/ankutbd.1812966.
EndNote
Hamoum H, Chibani HR, Bouznad A, Naimi M, Chibani A (October 1, 2026) Evaluating PGPR traits coupling under mutagenesis: A phenotypic and statistical framework for targeted improvement. Journal of Agricultural Sciences 32 4 1118–1131.
IEEE
[1]H. Hamoum, H. R. Chibani, A. Bouznad, M. Naimi, and A. Chibani, “Evaluating PGPR traits coupling under mutagenesis: A phenotypic and statistical framework for targeted improvement”, J Agr Sci-Tarim Bili, vol. 32, no. 4, pp. 1118–1131, Oct. 2026, doi: 10.15832/ankutbd.1812966.
ISNAD
Hamoum, Hakim - Chibani, Hiba Rahman - Bouznad, Ahcen - Naimi, Mehdi - Chibani, Abdelouaheb. “Evaluating PGPR Traits Coupling under Mutagenesis: A Phenotypic and Statistical Framework for Targeted Improvement”. Journal of Agricultural Sciences 32/4 (October 1, 2026): 1118-1131. https://doi.org/10.15832/ankutbd.1812966.
JAMA
1.Hamoum H, Chibani HR, Bouznad A, Naimi M, Chibani A. Evaluating PGPR traits coupling under mutagenesis: A phenotypic and statistical framework for targeted improvement. J Agr Sci-Tarim Bili. 2026;32:1118–1131.
MLA
Hamoum, Hakim, et al. “Evaluating PGPR Traits Coupling under Mutagenesis: A Phenotypic and Statistical Framework for Targeted Improvement”. Journal of Agricultural Sciences, vol. 32, no. 4, Oct. 2026, pp. 1118-31, doi:10.15832/ankutbd.1812966.
Vancouver
1.Hakim Hamoum, Hiba Rahman Chibani, Ahcen Bouznad, Mehdi Naimi, Abdelouaheb Chibani. Evaluating PGPR traits coupling under mutagenesis: A phenotypic and statistical framework for targeted improvement. J Agr Sci-Tarim Bili. 2026 Oct. 1;32(4):1118-31. doi:10.15832/ankutbd.1812966

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