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草甘膦与微生物的相互作用:宏基因组学见解与未来方向。

Glyphosate-microbial interactions: metagenomic insights and future directions.

作者信息

Sibalekile Ayabonga, Araya Tesfay, Castillo Hernandez Julio, Kotzé Elmarie

机构信息

Department of Soil, Crop and Climate Sciences, University of the Free State, Bloemfontein, South Africa.

Department of Integrated Science, University of Huelva, Huelva, Spain.

出版信息

Front Microbiol. 2025 May 23;16:1570235. doi: 10.3389/fmicb.2025.1570235. eCollection 2025.

Abstract

Glyphosate [N-(phosphonomethyl) glycine] is the most widely used systematic non-selective herbicide worldwide. However, there is increasing concern about its potential impacts on soil microbial communities, which play crucial roles in maintaining soil functions, plant health, and crop productivity. While glyphosate can be inactivated in soil through strong sorption, desorption remains a significant challenge as glyphosate residues and metabolites can exert toxicity effects on agroecosystems, particularly by altering microbial diversity and functionality. This review synthesizes current knowledge on glyphosate's behavior in soils and advancements in metagenomics approaches (including their limitations) to better understand the complex interactions between glyphosate and microbial communities in genetically modified (GM) cropping systems. Glyphosate has demonstrated antimicrobial properties, inhibiting the growth of various bacteria and fungi. Conversely, other studies suggest that glyphosate may enhance microbial richness, promoting the proliferation of potential glyphosate degraders (e.g., , , and ) and N fixing bacteria (e.g., , , and ) in the bulk soil and rhizosphere of GM crops. These contrasting findings are influenced by factors such as soil types, glyphosate rates, and crop varieties. Moreover, the review highlights that methodological discrepancies, including variations in next-generation sequencing (NGS) platforms and reference databases, contribute significantly to inconsistencies in the literature. These differences stem from varying levels of accuracy or annotation standards in the databases and NGS technologies used. To address these challenges, this study underscores the need for standardized molecular and bioinformatics approaches. Integrating advanced long-read sequencing technologies, such as Oxford Nanopore and PacBio, with compatible reference databases could provide more accurate and consistent analyses of microbial community composition at finer taxonomic levels. Such advancements could improve our understanding of how glyphosate influences the balance between pathogenic microorganisms and plant-growth-promoting microbes in GM cropping systems, ultimately informing sustainable agricultural practices.

摘要

草甘膦[N-(膦酰基甲基)甘氨酸]是全球使用最广泛的内吸性非选择性除草剂。然而,人们越来越关注其对土壤微生物群落的潜在影响,而土壤微生物群落在维持土壤功能、植物健康和作物生产力方面发挥着关键作用。虽然草甘膦可通过强烈吸附作用在土壤中失活,但解吸仍然是一个重大挑战,因为草甘膦残留和代谢产物会对农业生态系统产生毒性影响,特别是通过改变微生物多样性和功能。本综述综合了目前关于草甘膦在土壤中的行为以及宏基因组学方法的进展(包括其局限性),以便更好地理解转基因作物种植系统中草甘膦与微生物群落之间的复杂相互作用。草甘膦已显示出抗菌特性,可抑制各种细菌和真菌的生长。相反,其他研究表明,草甘膦可能会增加微生物丰富度,促进转基因作物的根际土壤和土体中潜在草甘膦降解菌(如 、 、 和 )以及固氮细菌(如 、 、 和 )的增殖。这些相互矛盾的发现受到土壤类型、草甘膦施用量和作物品种等因素的影响。此外,该综述强调,方法上的差异,包括下一代测序(NGS)平台和参考数据库的变化,是导致文献不一致的重要原因。这些差异源于所使用的数据库和NGS技术的准确性或注释标准水平不同。为应对这些挑战,本研究强调需要标准化的分子和生物信息学方法。将先进的长读长测序技术,如牛津纳米孔测序技术和PacBio测序技术,与兼容的参考数据库相结合,可以在更精细的分类水平上提供更准确和一致的微生物群落组成分析。这些进展可以增进我们对草甘膦如何影响转基因作物种植系统中致病微生物与促进植物生长的微生物之间平衡的理解,最终为可持续农业实践提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7796/12142625/6267dd46d576/fmicb-16-1570235-g001.jpg

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