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灌溉水质塑造土壤微生物群落:一项基于16S rRNA的干旱生态系统生物地理学研究。

Irrigation water quality shapes soil microbiomes: a 16 S rRNA-based biogeographic study in arid ecosystems.

作者信息

Abdelkader Mennatallah S, Abdalla Salah, Abdelrahman Ali A, Amin Ibrahim A, Ramadan Mohammed, Salah Mohammed

机构信息

Department of Microbiology and Immunology, Faculty of Pharmacy, Port-Said University, Port-Said, Egypt.

Department of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt.

出版信息

Sci Rep. 2025 Aug 4;15(1):28460. doi: 10.1038/s41598-025-13705-w.

Abstract

Soil microbiome plays a crucial role in ecosystem; however, the responses of the soil microbiome to nonconventional irrigation water sources remain poorly understood. This study employed 16 S rRNA sequencing to investigate microbial community shifts in soil samples collected from four geographically distinct locations affected by different irrigation water sources: saline ground water affected by seawater (SW), a brackish water lake (BW), a wastewater drain (WW), and a freshwater canal that receives inflows from multiple agricultural drains (FW). Our findings revealed distinct microbial signatures shaped by water quality, with Firmicutes dominating WW soils (49.2%) due to metal resistance (DESeq2, p = 3.67 × 10), whereas Chloroflexi and Cyanobacteria thrived in BW environments (LEfSe, LDA > 4, p = 8.23 × 10), reflecting adaptations to chloride-rich conditions. FW soils enriched Acidobacteria and Verrucomicrobia, which are associated with moderate salinity and nutrient cycling, whereas SW samples harbored halotolerant Actinobacteria and Deinococcus-Thermus (DESeq2, p = 1.47x). Statistical analyses revealed key potential biomarkers, including Streptococcus (WW, DESeq2 p = 3.67x), RB41 (BW, LEfSe p = 1.62x), and Candidatus_Udaeobacter (SW, DESeq2 p = 1.47x). Physicochemical drivers such as salinity (R² =0.319, p = 0.00041) and heavy metals (Pb/Mn in WW) strongly influence community structure. Notably, WW irrigation reduced alpha diversity (Shannon index: 4.79-5.41 vs. 6.65-7.43 in FW; Kruskal-Wallis p = 0.0056), highlighting pollutant-induced stress. These findings highlight the balance between water reuse and soil health, offering a foundation for microbiome-driven bioremediation approaches in arid environments. By utilizing native, stress-resilient microbial communities, our research promotes sustainable agricultural practices in water-limited regions.

摘要

土壤微生物群落在生态系统中起着至关重要的作用;然而,土壤微生物群落对非常规灌溉水源的响应仍知之甚少。本研究采用16S rRNA测序技术,调查了从四个地理位置不同、受不同灌溉水源影响的地点采集的土壤样本中的微生物群落变化:受海水影响的咸水地下水(SW)、微咸水湖(BW)、废水排放渠(WW)以及接收多个农业排水渠水流的淡水运河(FW)。我们的研究结果揭示了由水质塑造的独特微生物特征,由于具有金属抗性,厚壁菌门在WW土壤中占主导地位(49.2%)(DESeq2,p = 3.67×10),而绿弯菌门和蓝细菌在BW环境中大量繁殖(LEfSe,LDA>4,p = 8.23×10),这反映了对富含氯化物条件的适应。FW土壤中富集了与中度盐度和养分循环相关的酸杆菌门和疣微菌门,而SW样本中含有耐盐放线菌和嗜热栖热放线菌(DESeq2,p = 1.47x)。统计分析揭示了关键的潜在生物标志物,包括链球菌(WW,DESeq2 p = 3.67x)、RB41(BW,LEfSe p = 1.62x)和候选乌代杆菌(SW,DESeq2 p = 1.47x)。盐度(R² = 0.319,p = 0.00041)和重金属(WW中的铅/锰)等理化驱动因素强烈影响群落结构。值得注意的是,WW灌溉降低了α多样性(香农指数:FW为6.65 - 7.43,WW为4.79 - 5.41;Kruskal - Wallis p = 0.0056),突出了污染物引起的压力。这些发现突出了水再利用与土壤健康之间的平衡,为干旱环境中微生物群驱动的生物修复方法提供了基础。通过利用本地的、具有抗逆性的微生物群落,我们的研究促进了水资源有限地区的可持续农业实践。

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