Abstract
Purpose
Given the vast microorganisms and infertile resources in the soil, nutritional resources would be a focal point of bacterial competition. Microbes could quickly capture the nutrition to outcompete their competitors or efficiently cross-feed to cooperate with other bacterial species. However, how interspecies trophic patterns shape the bacterial interactions in the co-occurrence network remains unclear. This study investigates the role of trophic patterns, containing niche overlap and nestedness, on the bacterial relationships in the co-occurrence network structure.
Materials and methods
We assessed the correlation between bacterial interactions and trophic patterns according to high-throughput techniques and culturomics. A co-occurrence network was constructed to obtain the relationship of OTUs. The substrate consumption patterns of culturable bacteria were used to calculate the interspecies trophic patterns.
Results and discussion
The co-occurrence network was constructed by the thirty-three culturable bacteria that matched 33 OTUs with 112 links in total. The negative correlation pairs possessed a higher niche overlap than the positive correlations pairs. However, negative and positive correlation pairs displayed no significant differences in the niche nestedness. Interestingly, we found substrate types could also influence microbial interactions. Elucidating the association between the trophic patterns and interspecies interaction is crucial for comprehending the resource’s role and contribution to the microbial community.
Conclusion
Together, these findings indicate that interspecies trophic patterns, such as niche overlap, could be a predictor to understand the bacterial relationships in the co-occurrence network.
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Data availability
Raw sequence files for each sample can be accessed through the NCBI SRA BioProject accession number PRJNA655807.
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Funding
This work was supported by National Natural Science Foundation of China (42020104003 and 41830756) and National Key Research and Development Program of China (2018YFE0105600).
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XX, WC, and QH designed experiments and initiated research projects. WC and QH provided supervision, funding acquisition, conceptualization, and writing-review and editing. XX and WW performed experiments and analyzed data. All authors contributed to the writing of the manuscript.
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Xiong, X., Wang, W., Xing, Y. et al. Niche overlap is a predictor of the interspecies correlations detected by microbial network analysis in soil micro-aggregates. J Soils Sediments 22, 1521–1529 (2022). https://doi.org/10.1007/s11368-022-03165-4
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DOI: https://doi.org/10.1007/s11368-022-03165-4