4.7 Article Proceedings Paper

Determining the contribution of microbiome complexity to the soil nutrient heterogeneity of fertile islands in a desert ecosystem

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 857, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2022.159355

Keywords

Soil fertility; Assembly process; Co-occurrence network; Nitrate nitrogen

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This study aimed to investigate the relationships between the complexity of soil microbial communities and nutrient distribution around fertile islands. The results showed spatial heterogeneity in all three microbiota around the fertile islands. Bacterial community assembly was primarily determined by deterministic processes, and microbial interaction complexity varied among different patches. Bacteria played a crucial role in polymicrobial networks and were the best predictors of soil multinutrient cycling. These findings have important implications for managing soil microorganisms and providing dryland ecosystem services.
Fertile islands are known as hotspots of soil nutrient spatial heterogeneity in dryland ecosystems. Although soil mi-croorganisms play critical functional roles in nutrient capture and cycling within fertile islands, our understanding of polymicrobial community roles in regulating soil nutrient distribution in fertile islands remains limited. Herein, we aim to clarify the relationships between the complexity of soil microbial (bacterial, archaeal and fungal) communities and the nutrient distribution around fertile islands. Soil samples were collected along vertical profiles at varying depths in three patches under the canopy of Hedysarum scoparium (CENTRE), at the edge (EDGE) of the canopy and outside (OUTSIDE) the canopy in an area of flowing sand. All the three microbiota have showed spatial heterogeneity around the fertile islands. Among them, bacteria had the most significant heterogeneity, and bacterial community assembly was dominated by deterministic processes. Microbial interaction patterns also showed spatial heterogeneity among different patches. More interaction complexity within microbiota was found in the bacteria in the CENTRE patch and in the fungi in the OUTSIDE patch. In addition, the proportions of among-kingdom connections were reduced under the canopies. Bacteria had the highest connectivity and centrality in the polymicrobial networks and were the most important predictor of polymicrobial interaction complexity, which may have contributed to the distribution of soil nutrients. The random forest (RF) model provided evidence that bacterial beta-diversity and the polymicrobial network complexity index can be optimal predictors of the soil multinutrient cycling index. Our study highlighted the responses of bacteria and polymicrobial interactions to fertile islands and their importance in driving soil nutrient het-erogeneity. This information will help in managing soil microorganisms to provide dryland ecosystem services.

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