Drought-induced shifts in cowpea rhizoplane bacterial communities across different vegetative and reproductive stages

IF 6.8 Q1 PLANT SCIENCES

Plant Stress Pub Date : 2025-06-10 DOI:10.1016/j.stress.2025.100915

Durga P.M. Chinthalapudi , Nisarga Kodadinne Narayana , Sujan Poudel , John P. Brooks , Shankar Ganapathi Shanmugam , Raju Bheemanahalli

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引用次数: 0

Abstract

The increasing prevalence of drought poses significant challenges to global food security, necessitating a deeper understanding of plant-microbiome interactions which help crop production. This study investigated the dynamics of drought stress-induced changes in rhizosphere-associated bacterial communities of two cowpea (Vigna unguiculata L.) genotypes (EpicSelect4 and UCR369) across four growth stages. Community-level physiological profiling using Biolog EcoPlate analysis revealed that drought reduced rhizosphere microbial metabolic activity (carbon substrate utilization) in both genotypes, but UCR369 maintained higher metabolic capability than EpicSelect4 across growth stages. Further, integration of amplicon metagenomics and physiological data showed that drought significantly altered rhizoplane bacterial communities in cowpea, with distinct genotype-specific responses. There was a decline in Alpha diversity under drought, while community composition shifted based on genotype. Beta diversity results revealed that genotype and drought significantly influenced microbial community structure across growth stages. Proteobacteria dominated the root zone of the EpicSelect4 genotype, while UCR369 showed an increase in Actinobacteria under drought conditions. Redundancy analysis revealed that soil enzyme activities (β-glucosidase and N-acetyl-glucosaminidase) and physiological traits werecorrelated significantly with microbial community shifts. Interpretable machine learning approach identified Actinobacteriota and Cyanobacteria as the key biomarkers enriched under drought, with genera such as Streptomyces and Ensifer potentially contributing to drought tolerance. The Random Forest model coupled with SHapley Additive exPlanations (SHAP) values demonstrated high predictive accuracy for identifying drought-related biomarkers, aligning with DeSeq2 analysis results. These models provided insights into the potential contributions of specific microbial taxa to cowpea drought tolerance, offering a promising avenue for developing microbiome-based strategies to improve crop resilience and sustainability under drought conditions.

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干旱诱导豇豆根际细菌群落在不同营养和生殖阶段的变化

日益普遍的干旱对全球粮食安全构成了重大挑战，需要更深入地了解有助于作物生产的植物-微生物组相互作用。研究了两种豇豆（Vigna unguiculata L.）基因型（EpicSelect4和UCR369）根际相关细菌群落在干旱胁迫下4个生育期的动态变化。群落水平生理分析显示，干旱降低了两种基因型的根际微生物代谢活性（碳底物利用），但UCR369在整个生长阶段保持比EpicSelect4更高的代谢能力。此外，扩增子宏基因组学和生理数据的整合表明，干旱显著改变了豇豆根际细菌群落，并具有明显的基因型特异性反应。干旱条件下，α多样性呈下降趋势，群落组成以基因型为主。β多样性结果表明，基因型和干旱对各生育期微生物群落结构有显著影响。EpicSelect4基因型根区以变形菌为主，UCR369在干旱条件下放线菌增多。冗余分析表明，土壤酶活性（β-葡萄糖苷酶和n -乙酰-葡萄糖苷酶）和生理性状与微生物群落的变化有显著相关。可解释的机器学习方法确定放线菌门和蓝藻门是干旱条件下富集的关键生物标志物，其中链霉菌属和Ensifer属可能有助于耐旱性。随机森林模型结合SHapley加性解释（SHAP）值在识别干旱相关生物标志物方面显示出较高的预测准确性，与DeSeq2分析结果一致。这些模型揭示了特定微生物类群对豇豆耐旱性的潜在贡献，为开发基于微生物组的策略来提高作物在干旱条件下的抗逆性和可持续性提供了一条有希望的途径。

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来源期刊

Plant Stress PLANT SCIENCES-

CiteScore

5.20

自引率

8.00%

发文量

审稿时长

63 days

期刊介绍： The journal Plant Stress deals with plant (or other photoautotrophs, such as algae, cyanobacteria and lichens) responses to abiotic and biotic stress factors that can result in limited growth and productivity. Such responses can be analyzed and described at a physiological, biochemical and molecular level. Experimental approaches/technologies aiming to improve growth and productivity with a potential for downstream validation under stress conditions will also be considered. Both fundamental and applied research manuscripts are welcome, provided that clear mechanistic hypotheses are made and descriptive approaches are avoided. In addition, high-quality review articles will also be considered, provided they follow a critical approach and stimulate thought for future research avenues. Plant Stress welcomes high-quality manuscripts related (but not limited) to interactions between plants and: Lack of water (drought) and excess (flooding), Salinity stress, Elevated temperature and/or low temperature (chilling and freezing), Hypoxia and/or anoxia, Mineral nutrient excess and/or deficiency, Heavy metals and/or metalloids, Plant priming (chemical, biological, physiological, nanomaterial, biostimulant) approaches for improved stress protection, Viral, phytoplasma, bacterial and fungal plant-pathogen interactions. The journal welcomes basic and applied research articles, as well as review articles and short communications. All submitted manuscripts will be subject to a thorough peer-reviewing process.