ISME CommunicationsMicrobiologyPeer-reviewed journal article
Strong pairwise Interactions do not Drive Interactions in a Plant Leaf Associated Microbial Community
Franziska Höhn, Vasvi ChaudhryiD, Caner BağcıiD, Maryam MahmoudiiD, Elke Klenk, Lara Berg, Paolo StinconeiD, Chambers C. HughesiD, Daniel PetrasiD, Heike Brötz‐OesterheltiD, Eric M. KemeniD, Nadine ZiemertiD
Abstract
Microbial communities that promote plant growth show promise in reducing the impacts of climate change on plant health and productivity. Understanding microbe-microbe interactions in a community context is paramount for designing effective microbial consortia that enhance plant resilience. In this study, we investigated the dynamics of a synthetic microbial community (SynCom) assembled from Arabidopsis thaliana leaves to elucidate factors shaping community composition and stability. We found notable disparities between in vitro pairwise interactions and those inferred from correlation networks in planta. Our findings suggested that secondary metabolites, particularly antimicrobials, might mediate interactions in vitro, but fade into the background in the community context. Through co-cultivation experiments, we identified the siderophore pseudobactin as a potent antimicrobial agent against several SynCom members, but its impact on community composition in planta was negligible. Notably, dominant SynCom members, such as Pseudomonas koreensis, Flavobacterium pectinovorum, and Sporobolomyces roseus, exhibited only positive correlations, suggesting synergism based on for example exopolysaccharides and biotransformation might drive community dynamics rather than competition. Two correlations between SynCom members in the co-abundance network corresponded with their pairwise in vitro interactions, highlighting the potential for further research, and demonstrating the usefulness of correlation networks in identifying key microbe-microbe interactions. Our findings highlight the importance of considering microbiome-wide interaction studies and synthetic communities in understanding and manipulating plant microbiomes.
- organism: Arabidopsis
- assay: metagenomics
- research focus: cell type annotation
- research focus: clustering
- approach: experimental assay
- Citations
- 4
- FWCI
- 0.84
- Field percentile
- top 29%
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