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      Bacterial Cohesion Predicts Spatial Distribution in the Larval Zebrafish Intestine

      , , , ,

      Biophysical Journal

      Elsevier BV

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          Abstract

          <p class="first" id="d423857e159">Are there general biophysical relationships governing the spatial organization of the gut microbiome? Despite growing realization that spatial structure is important for population stability, interbacterial competition, and host functions, it is unclear in any animal gut whether such structure is subject to predictive, unifying rules or if it results from contextual, species-specific behaviors. To explore this, we used light sheet fluorescence microscopy to conduct a high-resolution comparative study of bacterial distribution patterns throughout the entire intestinal volume of live, larval zebrafish. Fluorescently tagged strains of seven bacterial symbionts, representing six different species native to zebrafish, were each separately monoassociated with animals that had been raised initially germ-free. The strains showed large differences in both cohesion—the degree to which they auto-aggregate—and spatial distribution. We uncovered a striking correlation between each strain’s mean position and its cohesion, whether quantified as the fraction of cells existing as planktonic individuals, the average aggregate size, or the total number of aggregates. Moreover, these correlations held within species as well; aggregates of different sizes localized as predicted from the pan-species observations. Together, our findings indicate that bacteria within the zebrafish intestine are subject to generic processes that organize populations by their cohesive properties. The likely drivers of this relationship—peristaltic fluid flow, tubular anatomy, and bacterial growth and aggregation kinetics—are common throughout animals. We therefore suggest that the framework introduced here of biophysical links between bacterial cohesion and spatial organization should be useful for directing explorations in other host-microbe systems, formulating detailed models that can quantitatively map onto experimental data, and developing new tools that manipulate cohesion to engineer microbiome function. </p>

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          Author and article information

          Journal
          Biophysical Journal
          Biophysical Journal
          Elsevier BV
          00063495
          December 2018
          December 2018
          : 115
          : 11
          : 2271-2277
          Article
          10.1016/j.bpj.2018.10.017
          6289661
          30448038
          © 2018

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