Beta diversity: environment dissimilarity, environment convergence, and you may diet plan

Beta diversity: environment dissimilarity, environment convergence, and you may diet plan

Habitat dissimilarity and GuniFrac distances between the communities were not correlated (Mantel test: nproducts = 15, ngroups = 6, r = ? 0.149, p = 0.553; late dry 2016: nsamples = 15, ngroups = 6, r = 0.008, p = 0.972; early dry 2017: nsamples = 21, ngroups = 7, r = ? 0.154, p = 0.561; late dry 2017: nsamples = 21, ngroups = 7, r = 0.064, p = 0.776; Table S8). The model examining the effects of habitat overlap and diet dissimilarities on groups’ GuniFrac distances was also not significant (LMM II: https://datingranking.net/local-hookup/toronto/? 2 = 3.264, df = 2, p = 0.196, R 2 m/c = 0.08/0.98) (Table S9).

The new 18S rRNA gene study of land vegetation used in faecal samples revealed that about during the straight down taxonomic account, i.age. before members of the family peak, diet plan didn’t appear to affect anywhere between-class variation from inside the microbiome composition. Even with noticeable anywhere between-group variation when you look at the dining plant compositions, groups’ bacterial microbiome arrangements failed to reflect these types of distinctions whenever aesthetically inspecting brand new respective graphs (Fig. 2A, B). I discover, yet not, seasonal weight-loss activities. In early dead season in research many years, faecal trials consisted of a large proportion of herbs in the parents Combretaceae and you may Salicaceae, while during the later lifeless season Fabaceae and you may Sapindaceae have been consumed into the better numbers (Fig. 2B).

Beta diversity: maternal relatedness

We examined the effects of maternal relatedness coefficients on GuniFrac distances among all individuals, i.e. between both, group members and individuals from different groups. The interaction between the relatedness coefficient and group membership (same or different) was not significant (likelihood ratio test comparing the model with and without the interaction: ? 2 = 0.105, df = 1, p = 0.746), which is why we excluded it from the model. The model without the interaction was highly significant (LMM III:? 2 = , df = 1, p < 0.001, R 2 m/c = 0.51/0.92) (Table S10). Maternal relatives had a more similar microbiome than unrelated individuals, and this effect was independent of whether these relatives lived in the same group or not (Fig. 3).

GuniFrac ranges of all data dogs regarding their maternal relatedness coefficient and you can classification membership. A keen Remote-controlled out of 0.25–0.50 describes dyads for which we cannot determine whether it was full- or half-sisters

Beta assortment: seasonality, gender, many years, and association cost

The model examining correlations of dyadic GuniFrac dissimilarity with seasonality, sex, age classes, and the time two group members spent affiliating was significant (LMM IV: ? 2 = , df = 10, p < 0.001, R 2 m/c = 0.70/0.91) (Tables S11). Bacterial microbiomes of group members increased in similarity across the study period; they were least similar in the early and late dry season 2016 and most similar in the late dry season 2017. Samples of adults differed most from each other, whereas samples among juveniles and infants were more similar (Fig. 4A). Neither sex nor time spent affiliating significantly affected microbiome similarity.

Differences in gut similarity and association networks within groups per age category, female reproductive state, and male dominance. A, C GuniFrac distances between group members of different or same age categories or rank categories of adult group members only. As there is only one dominant male per group, we could not compare two dominant individuals. We did not have enough adult female group members to compare their GuniFrac distances during different reproductive stages. B, D, E ASVs associated with the different age categories, adult female reproductive stages, or rank categories within groups, respectively. The association network was calculated and visualised in the same way as described in Fig. 1. The network for age categories only contains data from the late dry seasons since animals were only considered infants, when they were < 9 months of age. Hence, during the early dry seasons, there were no infants in the population