Abstract
Untangling assembly and microbial interaction of abundant and rare microbiota in aquatic ecosystem is pivotal for understanding how community assembly respond to environmental variables and co-occurrence patterns. Here, we explored the assembly mechanisms, their drivers, and species co-occurrence of abundant and rare microbiomes in the Yellow River using 16S rRNA gene sequencing in Lanzhou, China. Here, abundant community was ubiquitous across all sites, whereas rare community was uneven distributed. The richness and community dissimilarity of rare taxa were significantly greater than those of abundant ones. Stochastic processes structured the rare community assembly in spring and winter, while deterministic processes shaped the abundant and rare community assembly in other seasons and all sites. Copper and water temperature mediated the balance between deterministic and stochastic processes of abundant and rare community, respectively. A few abundant taxa with closer relationships frequently occupied central positions and had a great effect on other co-occurrences in the network, while the majority of keystone microbiota were rare microbiome and played a considerable part in maintaining the network structure. Our study provides some ecological proposals for water quality management and ecological stability of the Yellow River.
Key points
• Deterministic process dominated abundant and rare community assembly.
• Cu and TW mediated the balance of abundant and rare community assembly respectively.
• Abundant taxa had a greater effect on other co-occurrences in the network.
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This work was supported by the National Natural Science Foundation of China (42007026), Shenzhen outbound postdoctoral research funding and Dapeng New District outbound postdoctoral research funding.
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BH, QY, ML, and HL led the drafting of the manuscript, with substantial input from the other authors.
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Han, B., Yu, Q., Wang, X. et al. Copper and temperature shaped abundant and rare community assembly respectively in the Yellow River. Appl Microbiol Biotechnol 107, 3847–3858 (2023). https://doi.org/10.1007/s00253-023-12538-9
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DOI: https://doi.org/10.1007/s00253-023-12538-9