Andrew H. Moeller

Cospeciation of gut microbiota with hominids

Human-microbiota coevolution The bacteria that make their home in the intestines of modern apes and humans arose from ancient bacteria that colonized the guts of our common ancestors. Moeller et al. have developed a method to compare rapidly evolving gyrB gene sequences in fecal samples from humans and wild chimpanzees, bonobos, and gorillas (see the Perspective by Segre and Salafsky). Comparison of the gyrB phylogenies of major bacterial lineages reveals that they mostly match the apehominid phylogeny, except for some rare symbiont transfers between primate species. Gut bacteria therefore are not simply acquired from the environment, but have coevolved for millions of years with hominids to help shape our immune systems and development. Science, this issue p. 380; see also p. 350 Rapidly evolving gyrB gene sequences of gut microbes from humans, wild chimpanzees, bonobos, and gorillas show coevolution. The evolutionary origins of the bacterial lineages that populate the human gut are unknown. Here we show that multiple lineages of the predominant bacterial taxa in the gut arose via cospeciation with humans, chimpanzees, bonobos, and gorillas over the past 15 million years. Analyses of strain-level bacterial diversity within hominid gut microbiomes revealed that clades of Bacteroidaceae and Bifidobacteriaceae have been maintained exclusively within host lineages across hundreds of thousands of host generations. Divergence times of these cospeciating gut bacteria are congruent with those of hominids, indicating that nuclear, mitochondrial, and gut bacterial genomes diversified in concert during hominid evolution. This study identifies human gut bacteria descended from ancient symbionts that speciated simultaneously with humans and the African apes.

Rapid changes in the gut microbiome during human evolution

Significance Human lifestyles profoundly influence the communities of microorganisms that inhabit the body, that is, the microbiome; however, how the microbiomes of humans have diverged from those found within wild-living hominids is not clear. To establish how the gut microbiome has changed since the diversification of human and ape species, we characterized the microbial assemblages residing within hundreds of wild chimpanzees, bonobos, and gorillas. Changes in the composition of the microbiome accrued steadily as African apes diversified, but human microbiomes have diverged at an accelerated pace owing to a dramatic loss of ancestral microbial diversity. These results suggest that the human microbiome has undergone a substantial transformation since the human–chimpanzee split. Humans are ecosystems containing trillions of microorganisms, but the evolutionary history of this microbiome is obscured by a lack of knowledge about microbiomes of African apes. We sequenced the gut communities of hundreds of chimpanzees, bonobos, and gorillas and developed a phylogenetic approach to reconstruct how present-day human microbiomes have diverged from those of ancestral populations. Compositional change in the microbiome was slow and clock-like during African ape diversification, but human microbiomes have deviated from the ancestral state at an accelerated rate. Relative to the microbiomes of wild apes, human microbiomes have lost ancestral microbial diversity while becoming specialized for animal-based diets. Individual wild apes cultivate more phyla, classes, orders, families, genera, and species of bacteria than do individual humans across a range of societies. These results indicate that humanity has experienced a depletion of the gut flora since diverging from Pan.

Where Next for Microbiome Research

The last decade has seen a staggering transformation in our knowledge of microbial communities. Here, seven short pieces speculate as to what the next ten years might hold in store.

Chimpanzees and humans harbour compositionally similar gut enterotypes

Summary Microbes inhabiting the human gastrointestinal tract tend to adopt one of three characteristic community structures, called ‘enterotypes’, each of which is overrepresented by a distinct set of bacterial genera. Here, we report that the gut microbiotae of chimpanzees also assort into enterotypes and that these chimpanzee enterotypes are compositionally analogous to those of humans. Through the analysis of longitudinal samples, we show that the microbial signatures of the enterotypes are stable over time, but that individual hosts switch between enterotypes over periods longer than a year. These results support the hypothesis that enterotypic variation was present in populations of great apes before the divergence of humans and chimpanzees.

Sympatric chimpanzees and gorillas harbor convergent gut microbial communities

The gut microbial communities within great apes have been shown to reflect the phylogenetic history of their hosts, indicating codiversification between great apes and their gut microbiota over evolutionary timescales. But because the great apes examined to date represent geographically isolated populations whose diets derive from different sources, it is unclear whether this pattern of codiversification has resulted from a long history of coadaptation between microbes and hosts (heritable factors) or from the ecological and geographic separation among host species (environmental factors). To evaluate the relative influences of heritable and environmental factors on the evolution of the great ape gut microbiota, we assayed the gut communities of sympatric and allopatric populations of chimpanzees, bonobos, and gorillas residing throughout equatorial Africa. Comparisons of these populations revealed that the gut communities of different host species can always be distinguished from one another but that the gut communities of sympatric chimpanzees and gorillas have converged in terms of community composition, sharing on average 53% more bacterial phylotypes than the gut communities of allopatric hosts. Host environment, independent of host genetics and evolutionary history, shaped the distribution of bacterial phylotypes across the Bacteroidetes, Firmicutes, Proteobacteria, and Actinobacteria, the four most common phyla of gut bacteria. Moreover, the specific patterns of phylotype sharing among hosts suggest that chimpanzees living in sympatry with gorillas have acquired bacteria from gorillas. These results indicate that geographic isolation between host species has promoted the evolutionary differentiation of great ape gut bacterial communities.

Social behavior shapes the chimpanzee pan-microbiome

Chimpanzee social activity is associated with diversity in the gut microbiome. Animal sociality facilitates the transmission of pathogenic microorganisms among hosts, but the extent to which sociality enables animals’ beneficial microbial associations is poorly understood. The question is critical because microbial communities, particularly those in the gut, are key regulators of host health. We show evidence that chimpanzee social interactions propagate microbial diversity in the gut microbiome both within and between host generations. Frequent social interaction promotes species richness within individual microbiomes as well as homogeneity among the gut community memberships of different chimpanzees. Sampling successive generations across multiple chimpanzee families suggests that infants inherited gut microorganisms primarily through social transmission. These results indicate that social behavior generates a pan-microbiome, preserving microbial diversity across evolutionary time scales and contributing to the evolution of host species–specific gut microbial communities.

SIV-Induced Instability of the Chimpanzee Gut Microbiome

Simian immunodeficiency virus of chimpanzees (SIVcpz) is the ancestor of human immunodeficiency virus type 1 (HIV-1), the etiologic agent of acquired immunodeficiency syndrome (AIDS) in humans. Like HIV-1-infected humans, SIVcpz-infected chimpanzees can develop AIDS-like symptoms. Because SIVcpz/HIV-1 may disrupt regulation of the gut microbiome and because it has not been possible to sample individual humans pre- and postinfection, we investigated the influence of infection on gut communities through long-term monitoring of chimpanzees from Gombe National Park, Tanzania. SIVcpz infection accelerated the rate of change in gut microbiota composition within individuals for periods of years after the initial infection and led to gut communities marked by high frequencies of pathogen-containing bacterial genera absent from SIVcpz-negative individuals. Our results indicate that immune function maintains temporally stable gut communities that are lost when individuals become infected with SIVcpz.

Stability of the gorilla microbiome despite simian immunodeficiency virus infection.

Simian immunodeficiency viruses (SIVs) have been discovered in over 45 primate species; however, the pathogenic potential of most SIV strains remains unknown due to difficulties inherent in observing wild populations. Because those SIV infections that are pathogenic have been shown to induce changes in the hosts gut microbiome, monitoring the microbiota present in faecal samples can provide a noninvasive means for studying the effects of SIV infection on the health of wild‐living primates. Here, we examine the effects of SIVgor, a close relative of SIVcpz of chimpanzees and HIV‐1 of humans, on the gut bacterial communities residing within wild gorillas, revealing that gorilla gut microbiomes are exceptionally robust to SIV infection. In contrast to the microbiomes of HIV‐1‐infected humans and SIVcpz‐infected chimpanzees, SIVgor‐infected gorilla microbiomes exhibit neither rises in the frequencies of opportunistic pathogens nor elevated rates of microbial turnover within individual hosts. Regardless of SIV infection status, gorilla microbiomes assort into enterotypes, one of which is compositionally analogous to those identified in humans and chimpanzees. The other gorilla enterotype appears specialized for a leaf‐based diet and is enriched in environmentally derived bacterial genera. We hypothesize that the acquisition of this gorilla‐specific enterotype was enabled by lowered immune system control over the composition of the microbiome. Our results indicate differences between the pathology of SIVgor and SIVcpz/HIV‐1 infections, demonstrating the utility of investigating host microbial ecology as a means for studying disease in wild primates of high conservation priority.

Unexplored Archaeal Diversity in the Great Ape Gut Microbiome

Our findings show that Archaea are a habitual and vital component of human and great ape gut microbiomes but are largely ignored on account of the failure of previous studies to realize their full diversity. Here we report unprecedented levels of archaeal diversity in great ape gut microbiomes, exceeding that detected by conventional 16S rRNA gene surveys. Paralleling what has been reported for bacteria, there is a vast reduction of archaeal diversity in humans. Our study demonstrates that archaeal diversity in the great ape gut microbiome greatly exceeds that reported previously and provides the basis for further studies on the role of archaea in the gut microbiome. ABSTRACT Archaea are habitual residents of the human gut flora but are detected at substantially lower frequencies than bacteria. Previous studies have indicated that each human harbors very few archaeal species. However, the low diversity of human-associated archaea that has been detected could be due to the preponderance of bacteria in these communities, such that relatively few sequences are classified as Archaea even when microbiomes are sampled deeply. Moreover, the universal prokaryotic primer pair typically used to interrogate microbial diversity has low specificity to the archaeal domain, potentially leaving vast amounts of diversity unobserved. As a result, the prevalence, diversity, and distribution of archaea may be substantially underestimated. Here we evaluate archaeal diversity in gut microbiomes using an approach that targets virtually all known members of this domain. Comparing microbiomes across five great ape species allowed us to examine the dynamics of archaeal lineages over evolutionary time scales. These analyses revealed hundreds of gut-associated archaeal lineages, indicating that upwards of 90% of the archaeal diversity in the human and great ape gut microbiomes has been overlooked. Additionally, these results indicate a progressive reduction in archaeal diversity in the human lineage, paralleling the decline reported for bacteria. IMPORTANCE Our findings show that Archaea are a habitual and vital component of human and great ape gut microbiomes but are largely ignored on account of the failure of previous studies to realize their full diversity. Here we report unprecedented levels of archaeal diversity in great ape gut microbiomes, exceeding that detected by conventional 16S rRNA gene surveys. Paralleling what has been reported for bacteria, there is a vast reduction of archaeal diversity in humans. Our study demonstrates that archaeal diversity in the great ape gut microbiome greatly exceeds that reported previously and provides the basis for further studies on the role of archaea in the gut microbiome.

Phylogenetic informativeness profiling of 12 genes for 28 vertebrate taxa without divergence dates.

In a recent issue, Makowsky et al. (2010) evaluated the relationship between sequence divergence and accuracy of Bayesian phylogenetic reconstruction for 12 genes from 28 vertebrate taxa for which phylogenetic relationships were already well established, demonstrating the feasibility of estimating optimal sequence divergence ranges of specific genes for phylogenetic reconstruction. This approach can be applied based on only a few sequences and can be informative about the usefulness of loci for systematic studies. However, as a metric of phylogenetic utility, it does not capture the key fact that a gene with many slower-evolving sites will have very different properties for phylogenetic inference than a gene with many invariant sites and a few fast-evolving ones (Felsenstein, 1983; Fitch, 1986; Townsend, 2007). Makowsky et al. (2010) assert a lack of alternative methods for comparing phylogenetic utilities of genes, but existing methods that recognize full distributions of site rates can accurately indicate genes’ utilities for resolving specific nodes in a phylogeny (Townsend, 2007; Townsend et al., 2008; Schoch et al., 2009; Townsend and López-Giráldez, 2010). Makowsky et al. (2010) comment that the Townsend (2007) approach is inapplicable due to ‘‘the need for estimated times and lack of description of an informative range.’’ Here, we reanalyze the datasets of Makowsky et al. (2010), implementing Townsend (2007) profiles to demonstrate informative ranges in the absence of precise divergence times. In addition, we show how informativeness profiles can provide more complete explanations of the observed phylogenetic results of Makowsky et al. (2010). To profile each gene’s phylogenetic informativeness, we used Phylip’s dnamlk (Felsenstein, 1989) to construct ultrametric trees from the 12 gene alignments graciously provided by Dr. Makowsky, then calculated site-specific substitution rates with HyPhy (Pond et al., 2005) as implemented online in PhyDesign (López-Giráldez and Townsend, 2011). Next, we used Phylip’s dnamlk to construct a consensus ultrametric tree, with its topology constrained to the ‘‘known’’ topology presented by Makowsky et al. (2010), from a concatenated alignment of the 8 genes for which taxon sampling was complete. So that site-specific substitution rates from each gene alignment would correspond to the consensus ultrametric tree assumed to match the history of common ancestry, we scaled each gene’s estimated site-specific substitution rates by multiplying them by the ratio of the total length of the ultrametric tree produced from the individual gene alignment to the total length of the consensus ultrametric tree. Where taxon sampling for a gene was incomplete, we subtracted the missing branches from the total length of the consensus before scaling. Lastly, we parameterized equation 10 of Townsend (2007) with these scaled rates to produce phylogenetic informativeness profiles for each gene scaled to align with the consensus chronogram.