bioRxivMicrobiologyPreprint
Identification of intestinal mediators of Caenorhabditis elegans DBL-1/BMP immune signaling shaping gut microbiome composition
K. Trang, B. Pees, S. Karimzadegan, R. Bodkhe, S. Hammond, M. Shapira
Abstract
The composition of the gut microbiome is determined by a complex interplay of diet, host genetics, microbe-microbe competition, abiotic factors, and stochasticity. Previous studies have demonstrated the importance of host genetics in community assembly of the Caenorhabditis elegans gut microbiome and identified a pivotal role for DBL-1/BMP immune signaling in determining the abundance of gut Enterobacteriaceae, in particular of the genus Enterobacter. However, the effects of DBL-1 signaling on gut bacteria were found to depend on its activation in extra-intestinal tissues, suggesting that yet unidentified intestinal factors must mediate these effects. In the present study, we used RNA-seq gene expression analysis of wildtype, dbl-1 and sma-3 mutants, and dbl-1 over-expressors to identify genes regulated by DBL-1/BMP signaling that take part in interactions with gut commensals. Following confirmation of several putative targets by qRT-PCR, we carried out colonization experiments with respective mutants raised on monocultures as well as on defined bacterial communities. These experiments identified five intestinal DBL-1/BMP targets, predicted to be secreted, that showed increased Enterobacteriaceae abundance compared to wildtype. The extent of increases was for the most part lower than those seen in DBL-1 pathway mutants, suggesting that identified mediators are components of a DBL-1-regulated antibacterial cocktail, which may additively contribute to shaping of gut microbiome composition. IMPORTANCECompared to the roles of diet, environmental availability, or lifestyle in determining gut microbiome composition, that of genetic factors is the least understood and often underestimated. The identification of intestinal mediators acting downstream of DBL-1/BMP signaling to control enteric bacteria, describes a cocktail of effectors with distinct molecular functions, thus offering a glimpse into the genetic logic of microbiome control as well as a list of targets for future exploration of this logic.
- organism: C. elegans
- assay: bulk RNA-seq
- research focus: cell type annotation
- approach: statistical model
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