Quantifying relative contributions of biotic interactions to bacterial diversity and community assembly by using community characteristics of microbial eukaryotes

Quantifying relative contributions of biotic interactions to bacterial diversity and community assembly by using community characteristics of microbial eukaryotes
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DOI:
10.1016/j.ecolind.2022.109841
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发表时间:
2023-02
影响因子:
6.9
通讯作者:
Guihao Li;Yaping Wang;Han Li;Xiaoli Zhang;J. Gong
Guihao Li;Yaping Wang;Han Li;Xiaoli Zhang;J. Gong
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Guihao Li;Yaping Wang;Han Li;Xiaoli Zhang;J. Gong

文献摘要

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Biotic interactions are known as a major control on microbial diversity. However, biotic interactions have rarely been quantified in an adequate manner, often leaving much residual variation unexplained in microbial biogeographic studies. Herein, we propose a holistic approach to disentangle the relative importance of inter-domain interactions in shaping microbial diversity by incorporating community-level characteristics. Taking coastal bacterioplankton on a regional scale as an example, we designated a range of community characteristics of pico- and nanoeukaryotes derived from metabarcoding and flow cytometric data as inter-domain interacting proxies, which were then considered in statistical modeling. We found that the bacterial diversity indices and community structure were much more accurately explained by a number of eukaryotic characteristics than by the measured environmental variables and/or spatial variables alone, as were the richness, relative abundances, and assemblage structures of major bacterial taxa. In co-occurrence networks, the nodes of characteristics that had more edges (links) were frequently the best explanatory variables for bacterial diversity indices. Over 70% of total variation in bacterial community structure could be explained by three categories of biotic interactions: parasitism (27%), fungi-bacterial competition (32%), and trophic structure and bacterivory (13%). This study showcases a methodological framework to infer different types of inter-domain interactions at play, and stresses the importance of non-grazing interacting processes in shaping bacterial diversity and community assembly.