Deciphering Soil Microbial Dynamics in Northeastern American Grasslands with Goldenrods (Solidago sp.)
- PMID: 40411587
- PMCID: PMC12103325
- DOI: 10.1007/s00248-025-02525-0
Deciphering Soil Microbial Dynamics in Northeastern American Grasslands with Goldenrods (Solidago sp.)
Abstract
Grasslands are important centers of biodiversity; however, these ecosystems have been in decline. Although many methods for grassland restoration have been developed, the abundant microbial communities in these regions are understudied and could be used to assist in these efforts. In this study, we aimed to understand how microbial communities varied by soil type, grassland site, and environmental conditions. Samples were taken from rhizosphere soil (attached to plant roots), proximal soil (close to the plant roots), and from bulk cores at Ricketts Glen State Park and Nescopeck State Park in northeastern Pennsylvania, USA, during June and August of 2021 and 2022. Rhizosphere soil samples were taken from the native common grassland plant, Solidago rugosa. 16S rRNA gene sequencing revealed that pH as well as soil type (bulk, proximal, or rhizosphere) significantly influenced the microbial community composition of each soil. Each soil type had its own distinct microbial communities, and proximal soil was identified as a transition zone between rhizosphere and bulk microbial communities. We also observed that the rhizosphere communities were dependent upon geography, as these communities were significantly different between grasslands even though the plant species remained the same. Our results highlight the complex nature of soil microbial communities and how many factors, including pH, soil type, and geography, can be overlayed to impact soil microbes. Results suggest future avenues of conservation research through modification and regulation of specific soil microbial communities in order to aid in the rehabilitation of these diminished regions.
Keywords: Grassland; Microbial ecology; Rhizosphere; Soil microbial communities.
© 2025. The Author(s).
Conflict of interest statement
Declarations: We declare that we did not utilize generative artificial intelligence (AI) tools in the composition of our manuscript, nor, did any part of this work involve the use of such tools. Conflict if interest: We declare that we have no conflict of interest.
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