Metabarcoding Analysis of Fungal Communities in Glyphosate-Contaminated Soils
摘要
In recent decades, the widespread and indiscriminate use of pesticides has led to numerous adverse effects, including declines in biological diversity. This study aimed to investigate the effects of glyphosate on soil microbial communities.
MethodsInternal Transcribed Spacer (ITS) metabarcoding was employed to assess fungal community structure. This study examined the diversity of crop soil (CS), soil samples enriched with glyphosate (ES), and rhizosphere soil (RS). All samples were collected from an agricultural area contaminated with glyphosate in the Araucária municipality, Paraná State, Brazil. Principal coordinates analysis (PCoA) was used to identify variations in community structure.
ResultsThe results revealed that glyphosate enrichment altered the structure of the fungal community, with a reduction in the relative abundance of genera such as Conocybe, Vermispora, and Setophoma. In contrast, Lophiostoma, Spizellomyces, and Saitozyma showed increased relative abundances in the ES. The genera Clonostachys and Fusarium were exclusive to the soybean rhizosphere (RS). Additionally, PCoA revealed a similarity between CS and ES, whereas RS exhibited a distinct community composition.
ConclusionThis study demonstrated that glyphosate influences the composition of soil fungal communities by either suppressing or favoring specific taxa. Some of these taxa may have bioremediation potential and warrant further investigations. Moreover, metabarcoding data from RS suggests that the presence of soybeans significantly influences microbial community structure, highlighting their crucial role in pollutant degradation, soil functionality, and overall soil health.