Background: So far, large numbers of studies investigating the microbiome have focused on gut microbiota and less have addressed the microbiome of the skin. Especially in avian taxa our understanding of the ecology and function of these bacteria remains incomplete. The involvement of skin bacteria in intra-specific communication has recently received attention, and has highlighted the need to understand what information is potentially being encoded in bacterial communities. Using next generation sequencing techniques, we characterised the skin microbiome of wild zebra finches, aiming to understand the impact of sex, age and group composition on skin bacteria communities. For this purpose, we sampled skin swabs from both sexes and two age classes (adults and nestlings) of 12 different zebra finch families and analysed the bacterial communities.
Results: Using 16S rRNA sequencing we found no effect of age, sex and family on bacterial diversity (alpha diversity). However, when comparing the composition (beta diversity), we found that animals of social groups (families) harbour highly similar bacterial communities on their skin with respect to community composition. Within families, closely related individuals shared significantly more bacterial taxa than non-related animals. In addition, we found that age (adults vs. nestlings) affected bacterial composition. Finally, we found that spatial proximity of nest sites, and therefore individuals, correlated with the skin microbiota similarity.
Conclusions: Birds harbour very diverse and complex bacterial assemblages on their skin. These bacterial communities are distinguishable and characteristic for intraspecific social groups. Our findings are indicative for a family-specific skin microbiome in wild zebra finches. Genetics and the (social) environment seem to be the influential factors shaping the complex bacterial communities. Bacterial communities associated with the skin have a potential to emit volatiles and therefore these communities may play a role in intraspecific social communication, e.g. via signalling social group membership.

Figure 1

Figure 2

Figure 3

Figure 4
This is a list of supplementary files associated with this preprint. Click to download.
Excel file containing Metadata, OTUs and sequences used for analyses in R and Primer-e.
Three figures (nMDS plots) showing the families from Fig. 2 B, separated into the geographical clusters and visually illustrating the different sexes and therefore age classes.
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Posted 05 Nov, 2020
On 01 Nov, 2020
On 30 Oct, 2020
On 30 Oct, 2020
On 30 Oct, 2020
On 13 Oct, 2020
Received 06 Oct, 2020
Invitations sent on 16 Sep, 2020
On 16 Sep, 2020
On 15 Sep, 2020
On 14 Sep, 2020
On 14 Sep, 2020
On 06 Aug, 2020
Received 20 Jul, 2020
On 25 Jun, 2020
Received 07 Jun, 2020
On 10 May, 2020
Invitations sent on 07 May, 2020
On 18 Apr, 2020
On 18 Apr, 2020
On 17 Apr, 2020
On 17 Apr, 2020
Posted 05 Nov, 2020
On 01 Nov, 2020
On 30 Oct, 2020
On 30 Oct, 2020
On 30 Oct, 2020
On 13 Oct, 2020
Received 06 Oct, 2020
Invitations sent on 16 Sep, 2020
On 16 Sep, 2020
On 15 Sep, 2020
On 14 Sep, 2020
On 14 Sep, 2020
On 06 Aug, 2020
Received 20 Jul, 2020
On 25 Jun, 2020
Received 07 Jun, 2020
On 10 May, 2020
Invitations sent on 07 May, 2020
On 18 Apr, 2020
On 18 Apr, 2020
On 17 Apr, 2020
On 17 Apr, 2020
Background: So far, large numbers of studies investigating the microbiome have focused on gut microbiota and less have addressed the microbiome of the skin. Especially in avian taxa our understanding of the ecology and function of these bacteria remains incomplete. The involvement of skin bacteria in intra-specific communication has recently received attention, and has highlighted the need to understand what information is potentially being encoded in bacterial communities. Using next generation sequencing techniques, we characterised the skin microbiome of wild zebra finches, aiming to understand the impact of sex, age and group composition on skin bacteria communities. For this purpose, we sampled skin swabs from both sexes and two age classes (adults and nestlings) of 12 different zebra finch families and analysed the bacterial communities.
Results: Using 16S rRNA sequencing we found no effect of age, sex and family on bacterial diversity (alpha diversity). However, when comparing the composition (beta diversity), we found that animals of social groups (families) harbour highly similar bacterial communities on their skin with respect to community composition. Within families, closely related individuals shared significantly more bacterial taxa than non-related animals. In addition, we found that age (adults vs. nestlings) affected bacterial composition. Finally, we found that spatial proximity of nest sites, and therefore individuals, correlated with the skin microbiota similarity.
Conclusions: Birds harbour very diverse and complex bacterial assemblages on their skin. These bacterial communities are distinguishable and characteristic for intraspecific social groups. Our findings are indicative for a family-specific skin microbiome in wild zebra finches. Genetics and the (social) environment seem to be the influential factors shaping the complex bacterial communities. Bacterial communities associated with the skin have a potential to emit volatiles and therefore these communities may play a role in intraspecific social communication, e.g. via signalling social group membership.

Figure 1

Figure 2

Figure 3

Figure 4
This is a list of supplementary files associated with this preprint. Click to download.
Excel file containing Metadata, OTUs and sequences used for analyses in R and Primer-e.
Three figures (nMDS plots) showing the families from Fig. 2 B, separated into the geographical clusters and visually illustrating the different sexes and therefore age classes.
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