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The Neglected Role of Micronutrients in Predicting Soil Microbial Structure

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Date 2022 Dec 27
PMID 36575178
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Abstract

Predicting the distribution patterns of soil microbial communities requires consideration of more environmental drivers. The effects of soil micronutrients on composition of microbial communities are largely unknown despite micronutrients closely relating to soil fertility and plant communities. Here we used data from 228 agricultural fields to identify the importance of micronutrients (iron, zinc, copper and manganese) in shaping structure of soil microbial communities (bacteria, fungi and protist) along latitudinal gradient over 3400 km, across diverse edaphic conditions and climatic gradients. We found that micronutrients explained more variations in the structure of microbial communities than macronutrients in maize soils. Moreover, micronutrients, particularly iron and copper, explained a unique percentage of the variation in structure of microbial communities in maize soils even after controlling for climate, soil physicochemical properties and macronutrients, but these effects were stronger for fungi and protist than for bacteria. The ability of micronutrients to predict the structure of soil microbial communities declined greatly in paddy soils. Machine learning approach showed that the addition of micronutrients substantially increased the predictive power by 9-17% in predicting the structure of soil microbial communities with up to 69-78% accuracy. These results highlighted the considerable contributions of soil micronutrients to microbial community structure, and advocated that soil micronutrients should be considered when predicting the structure of microbial communities in a changing world.

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References
1.
Barberan A, McGuire K, Wolf J, Jones F, Wright S, Turner B . Relating belowground microbial composition to the taxonomic, phylogenetic, and functional trait distributions of trees in a tropical forest. Ecol Lett. 2015; 18(12):1397-405. DOI: 10.1111/ele.12536. View

2.
Ye J, Song Z, Wang L, Zhu J . Metagenomic analysis of microbiota structure evolution in phytoremediation of a swine lagoon wastewater. Bioresour Technol. 2016; 219:439-444. DOI: 10.1016/j.biortech.2016.08.013. View

3.
Rahman M, Parvin M, Das U, Ela E, Lee S, Lee K . Arbuscular Mycorrhizal Symbiosis Mitigates Iron (Fe)-Deficiency Retardation in Alfalfa ( L.) Through the Enhancement of Fe Accumulation and Sulfur-Assisted Antioxidant Defense. Int J Mol Sci. 2020; 21(6). PMC: 7139841. DOI: 10.3390/ijms21062219. View

4.
Zhang C, Liu S, Hussain S, Li L, Baiome B, Xiao S . Fe(II) Addition Drives Soil Bacterial Co-Ocurrence Patterns and Functions Mediated by Anaerobic and Chemoautotrophic Taxa. Microorganisms. 2022; 10(3). PMC: 8950066. DOI: 10.3390/microorganisms10030547. View

5.
Bellemain E, Carlsen T, Brochmann C, Coissac E, Taberlet P, Kauserud H . ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases. BMC Microbiol. 2010; 10:189. PMC: 2909996. DOI: 10.1186/1471-2180-10-189. View