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Polish Journal of Microbiology logoLink to Polish Journal of Microbiology
. 2025 Sep 16;74(3):363–373. doi: 10.33073/pjm-2025-031

Age-Related Dynamics of Fecal Microbiota in the Captive Chimpanzee (Pan troglodytes)

LIU JUAN 1,3,#, HAILI WU 1,#, YAOHUA YUAN 1, YINGDI ZHU 1, KANGNING HUANG 1, NINA YAN 1, YI LOU 5, YALAN ZHANG 5, WEIYI ZHANG 1, SHEN CHENG 4, JIANMIN ZHAN 4, SHUKE YE 4, YUYAN YOU 2,✉, HONGJIE PAN 3,4,✉
PMCID: PMC12445987  PMID: 40967813

Abstract

Understanding gut microbiome diversity in endangered chimpanzees (Pan troglodytes) is crucial for their effective ex situ conservation. This study characterized the age-related dynamics of the fecal microbiota in captive juvenile (< 5 years), adolescent (5–10 years), and adult (> 15 years) chimpanzees reared in Shanghai and Hangzhou Zoos using 16S rRNA sequencing and demonstrated significant ontogenetic shifts in the microbiota composition. Alpha diversity peaked in adolescents (significantly higher Ace/Chao1/Observed Species; p < 0.05), with the greatest number of unique OTUs (1,139). Community structures significantly differed between the age groups (ANOSIM R = 0.121). Furthermore, the captive diets drove the fundamental restructuring of the core phyla. The Firmicutes/Bacteroidetes ratio was considerably lower in captive individuals than in wild conspecifics. The discriminative taxa were also analyzed. Notably, the abundance of Lactobacillus increased significantly in adults (5.44% ± 4.43%) compared to younger groups (< 1.26%), whereas that of Prevotella decreased with age. These findings demonstrate the regulatory role of age in determining gut microbiome in captivity, which is potentially attributed to physiological transitions and dietary adaptations, which present a basis for microbiome-informed health monitoring and age-specific dietary management for the welfare of captive chimpanzees.

Keywords: chimpanzee, intestinal microbiota, 16S rRNA, Firmicutes, Bacteroidetes

Introduction

Pan troglodytes has been studied in multiple disciplines across ecology, social sciences, biomedical research, and science communication, and it is associated with their high intelligence (Roth 2015; Altschul et al. 2017; Cantwell et al. 2022), complex social behavior (Pascual et al. 2023; van den Heuvel et al. 2023), and unique evolutionary significance. This species is now classified as Endangered by the International Union for Conservation of Nature (IUCN) and is listed in Appendix I of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Ex situ conservation is considered an effective way to conserve the survival and genetic diversity of this species (Visser et al. 2023; Ye et al. 2023). Zoos, which include wildlife conservation, scientific research, and public education, serve as critical centers for the ex situ conservation of rare and endangered wildlife (Abeli et al. 2020; Staerk et al. 2024). Since the 1970s, the captive chimpanzees bred in China have yielded a total population of 237 individuals currently distributed among 46 zoos. Shanghai and Hangzhou Zoos are the first two institutions in China to keep chimpanzees in captivity.

The developmental process of chimpanzees includes three distinct ontogenetic stages: juvenile (1–5 years), adolescent (5–10 years), and adult (> 10 years) stages (Goodall 1986; Pusey et al. 2005), each characterized by specific physiological and behavioral transitions that shape the gut microbiome assembly. The juvenile stage encompasses weaning and maternal dependency dissolution, during which the microbiome transitions from the abundance of milk-adapted taxa to a broader fermentative capacity. Adolescence is associated with social independence and sexual maturation, which drive microbiome restructuring via hormonal shifts and dietary exploration. Microbial communities stabilize by adulthood to support full somatic and reproductive functions (Moeller et al. 2016; Reese et al. 2021; Amato et al. 2025). In wild populations, fiber-degrading specialists essential for metabolizing diverse plant substrates are dominant (Nishida and Ochman 2019; Reese et al. 2021; Baniel et al. 2022). Under captive conditions, dietary regimes fundamentally reconfigure the nutritional landscape relative to wild ecosystems, driving divergent microbiome trajectories and cascading effects on host physiology, behavior, and conservation viability. The wild chimpanzees consume about 174 plant species annually, with seasonal shifts in frugivory and folivory promoting microbiome plasticity essential for nutrient extraction and immune resilience (Tutin and Fernandez 1993; Reese et al. 2021). Contrastingly, the captive diets rich in cultivated fruits and vegetables (e.g., apples and leafy greens), which include limited browse (elm/willow), exhibit 40–60% reductions in insoluble fiber and a near-absence of secondary plant metabolites (Campbell et al. 2020; Narat et al. 2020). A study towards the captive apes in Wildlife Reserves Singapore and Longleat Safari and Adventure Park showed that the diet with reduced water-soluble carbohydrates neutral and increased detergent fibre significantly increased ‘travelling ’, ‘foraging ’ and ‘social affiliative ’ behaviors, and decreased ‘inactivity’ and ‘abnormal behavior patterns’, such as ‘regurgitation and reingestion’. They pointed out that great apes in captivity have been affected by a variety of conditions, including obesity, heart, gastrointestinal and dental diseases, and diabetes, all of which are at least influenced by an inappropriate diet (Cabana et al. 2017). Zoos in Southeast Asia and North America demonstrated the convergence toward a “captive enterotype ” dominated by Bacteroides, with reduced α-diversity compared to that in wild conspecifics (Clayton et al. 2016). Anthropogenic diets under captive conditions induce gut microbial dysbiosis in primates, and the altered microbiota profoundly influence physiological homeostasis (Campbell et al. 2020; Costantini et al. 2021) and social behavioral repertoires (Pan et al. 2021; Zheng et al. 2021).

Although the chimpanzee husbandry protocol followed across Chinese institutions adheres to the EAZA Best Practice Guidelines for Great Apes Taxon Advisory Group Chimpanzees (Pan troglodytes) (Carlsen et al. 2022) and the Chimpanzee (Pan troglodytes) Care Manual (AZA Ape TAG 2010), regional supply chains limit provisioned diets, leading to inter-facility heterogeneity in gut microbiome architecture. The Yangtze River Delta region represents the earliest and largest habitat for captive chimpanzee populations in China, with Shanghai and Hangzhou Zoos housing the highest number of individuals. However, information on the microbiota of captive chimpanzees in this region is limited. In this study, we characterized the fecal microbiota composition across juvenile, adolescent, and adult developmental stages via 16S rRNA sequencing using samples from captive populations in this region. This analysis can potentially elucidate the age stage-related microbial signatures in East Asian ex situ conservation and provide a theoretical basis for optimizing regionally tailored management strategies.

Experimental

Materials and Methods

Animal rearing and fecal sample collection

Chimpanzee husbandry protocol adheres to the EAZA Best Practice Guidelines (Carlsen et al. 2022) and the Chimpanzee (Pan troglodytes) Care Manual (AZA Ape TAG 2010). The experimental procedures included in this study were reviewed and approved by the Animal Use and Care Committee of the Shanghai Zoo. Twenty-one captive chimpanzees (aged 1–36 years) were raised at Shanghai Zoo (31°11′N, 121°21′ E) and Hangzhou Zoo (30°12′N, 120°08′E) in China. All participating chimpanzees were healthy, disease-free, and had received no medical care for at least 2 months before sampling. Chimpanzees were divided into three age groups (Goodall 1986; Pusey et al. 2005): each of the groups A, B, and C included seven samples from juvenile (< 5 years old), adolescent (5–10 years old), and adult (> 15 years old) chimpanzees. Table I lists the detailed grouping information. Standardized diet was supplied based on the standard maintenance procedures for chimpanzees set by the Shanghai Zoo and Hangzhou Zoo. Water was provided as libitum. Fresh fecal samples were collected from each individual at 8:00 AM every third day. Three consecutive sampling events were performed per chimpanzee. To minimize variation, a composite sample was created for each animal by combining equal proportions (1:1:1 ratio by weight) of the three collected samples, resulting in a final representative sample of 3 grams. Fecal samples were stored at -80°C until further DNA extraction.

The detail information of grouping.

Age group Group Sample size
2 < years old < 5 juvenile group A 7
5 < years old < 10 adolescent group B 7
> 15 years old adult group C 7

DNA extraction and PCR amplification

Total genomic DNA was extracted from fecal samples using the CTAB/SDS method. The DNA concentration and purity were analyzed using a 1% agarose gel. Subsequently, DNA was diluted to 1 ng/μl using sterile water, and all DNA samples were stored at -20°C for further PCR amplification.

16S rRNA gene amplification sequencing

For PCR reactions, a mix (30μl) was prepared using 15μl of Phusion™High-Fidelity PCR Master Mix (New England Biolabs, USA), 0.2μM of forward and reverse primers, and about 10 ng template DNA. The thermal cycling process included an initial denaturation at 98°C for 1 min, followed by 30 cycles of denaturation at 98°C for 10s, annealing at 50°C for 30s, elongation at 72°C for 60s, and a final step at 72°C for 5 min. The PCR products were purified from a 2% agarose gel using a Gel Extraction Kit. Sequencing libraries were generated using NEBNext® Ultra™ DNA Library Prep Kit for Illumina® (New England Biolabs, USA) following the manufacturer’s recommendations. After the assessment was performed using a Qubit® 2.0 Fluorometer (Invitrogen™; Thermo Fisher Scientific Inc., USA) and Agilent Bioanalyzer 2100 system (Agilent Technologies, Inc., USA), the library was sequenced on an Illumina®NovaSeq™ 6000 platform (Illumina, Inc., USA), and 250 bp paired-end reads were generated. The 341F (5′CCTAYGGGRBGCASCAG3′) and 806R (5′GGACTACNNGGGTATCTAAT3′) primers were used to amplify the V3–V4 region of the 16S rRNA gene. The sequencing data has been deposited in NCBI (PRJNA1290099).

Bioinformatics and statistical analysis

Pairedend reads generated from the original DNA fragments were merged using FLASH (Magoč and Salzberg 2011), designed to merge paired-end reads when at least some of the reads overlapped with reads generated from the opposite end of the same DNA fragment. Paired-end reads were assigned to each sample based on unique barcodes. Sequence analysis was performed using the UPARSE software package with UPARSE-OUT (Operational Taxonomic Units) and UPARSE-OUT ref algorithms (Edgar 2013). In-house Perl scripts were used to analyze alpha (within samples) and beta (among samples) diversities. Sequences exhibiting ≥ 97% similarity were assigned to the same OTUs. We selected representative sequences for each OTU and used the RDP classifier to annotate the taxonomic information for each representative sequence. To assess the alpha diversity, we rarified the OTU table and assessed the species richness and diversity of chimpanzees based on the following indices: Chao1 index and Observed Species (to assess species richness), Shannon and Simpson indices (to assess the diversity of species). The dilution curve of the corresponding index was generated to assess the saturation of the overall detection of the experimental microbial community. Based on a Venn diagram, we compared the species composition between different samples. The species composition was compared between different samples or groups using dimensionality reduction analysis with NMDS. Significant differences in the microbial community structure between groups were analyzed using ANOSIM. Linear discriminant analysis (LDA) coupled with effect size (LEfSe) was used to evaluate differentially abundant taxa, focusing on both statistical significance and biological relevance.

Results

Fecal bacterial compositions in juvenile, adolescent, and adult chimpanzees

After processing the raw data, a total of 1,986,038 (47,188–74,191/each) high-quality reads were generated through the 16S rRNA sequencing of 21 fecal samples (seven juveniles, seven adolescents, and seven adults). The valid tags, rates, and quality scores Q20% and Q30% are presented in Table SI. While analyzing the diversity of species composition in the samples, the UCLUST in QIIME v1.8.0 (Caporaso et al. 2010) was used to cluster the clean reads of all samples. Next, the clean reads were first subjected to dechimerism processing, then the repeated sequences were clustered into Operational Taxonomic Units (OTUs) based on 97% homology. Representative sequences of OTUs were annotated with species using the annotation database Silva (Quast et al. 2013) (Table SII). Fig. 1A shows each curve representing a different sample. The sequencing depth first increased as the number of features increased, followed by a plateau, indicating that a small number of new features were detected with the increase in the sequencing depth. Therefore, this trend suggested that the sequenced samples were sufficient and reasonable. A total of 1,310, 2,452, and 1,185 features were detected in the juvenile, adolescent, and adult groups, respectively. The Venn diagram (Fig. 1B) revealed that the three tested groups shared 915 common features, suggesting a common effect on chimpanzee gastrointestinal microbiota at the three different developmental stages. There were 75, 1,139, and 108 unique features in the juvenile (Group A), adolescent (Group B), and adult (Group C) groups, respectively. The large number of unique features in adolescents indicates that the chimpanzee gut microbiota played an essential role at this developmental stage.

Fig. 1.

Fig. 1.

Gut Microbiotah Composition of Pan Troglodytes feces at different Ages.

A) The rarefaction curve of the microbiota of all samples. Each curve representing a different sample. The curves E3, E5, E6, E7, E8, E9, and F1 indicate the juvenile group; the curves C1, C2, C3, C4, D1, D2, and D3 indicate the adolescent group; the curves A1, A2, A3, B2, B3, B5, and B6 indicate the adult group. The x axis showed qualitative sequence of random number; The y axis showed OTU number. B) Venn plots show the OTU distribution based Venn plots between juvenile (A) adolescent (B) and adult (C) groups. C) The microbial community composition of Pan Troglodytes at the level of phylum in groups A, B, and C. D) The ratio of Firmicutes/Bacteroides in group A, B and C. E–F) The microbial community composition of Pan Troglodytes at the level of class E) and genus F) in group A B and C.

A total of 31 bacterial phyla were identified, including Firmicutes, Bacteroidetes, Proteobacteria, Cyanobacteria, Actinobacteria, Tenericutes, Euryarchaeota, Spirochaetes, Patesobacteria, and Acidobacteria, which were the top 10 phyla in all samples (Fig. 1C). Firmicutes and Bacteroidetes presented the most abundant phyla. Firmicutes accounted for 54.39% ± 6.00%, 44.92% ± 9.77%, and 53.57% ± 11.89% in the juvenile, adolescent, and adult groups, respectively, whereas Bacteroidetes accounted for 36.12% ± 7.76%, 43.92% ± 7.90%, and 31.42% ± 5.23%, respectively, in these groups. The ratio of Firmicutes/Bacteroidetes (F/B) was 1.51 in the juvenile group, which decreased to 1.02 in the adolescent group, and increased to 1.70 in the adult group (Fig. 1D).

Seventy-nine classes were identified, which included 33 classes identified in all three groups. Among these, Spirochaetia, Actinobacteria, Bacilli, Alphaproteobacteria, Oxyphotobacteria, Gammaproteobacteria, Erysipelotrichia, Negativicutes, Clostridia, and Bacteroidia presented the top 10 classes (Fig. 1E), with Clostridia and Bacteroidia exhibiting the highest abundance. Clostridia accounted for 37.83% ± 6.47%, 36.33% ± 7.93%, and 38.46% ± 11.27% in the juvenile, adolescent, and adult groups, respectively, whereas Bacteroidia accounted for 36.12% ± 7.76%, 43.92% ± 7.90%, and 31.41% ± 5.23%, respectively, in these groups. The proportion of Bacteroidia first increased transiently, and subsequently, decreased with age. Notably, the higher abundance of Bacilli was detected in the adult group than in the juvenile and adolescent groups. Interestingly, Bacteroidia and Bacilli belong to Bacteroidetes and Firmicutes, respectively; hence, these distribution patterns were consistent with the phylum-level data.

Among the 511 identified genera, 215 genera were identified in all three groups. Lactobacillus, Rikenellaceae RC9 gut group, uncultured Porphyromonadaceae bacterium, Succinivibrio, Eubacterium coprostanoligenes group, Christensenellaceae R.7 group, Ruminococcaceae UCG-005, Phascolarctobacterium, uncultured bacterium, and Prevotella 9 presented the top 10 taxa (Fig. 1F). Lactobacillus accounted for 0.99% ± 1.01% and 1.14% ± 1.26% in the juvenile and adolescent groups, respectively, whereas its abundance significantly increased to 5.44% ± 4.43% in the adult group. Similarly, the relative abundance of the E. coprostanoligenes group was significantly increased during the development of chimpanzees; it accounted for 2.43% ± 0.90% and 2.06% ± 0.59% in the juvenile and adolescent groups, respectively, and 3.93% ± 1.47% in the adult group. The Prevotella 9 accounted for 13.30% ± 6.43%, 15.36% ± 6.50%, and 8.57% ± 7.57% in the juvenile, adolescent, and adult groups, respectively, indicating a moderate but significant reduction in the abundance. The dynamic trends of the three genera were consistent at both the class and phylum levels.

Diversity of fecal microbiota in the juvenile, adolescent, and adult chimpanzee groups

Next, the sequences were used in a serial estimation of and diversity to evaluate the fecal bacterial diversity in the juvenile, adolescent, and adult chimpanzees. Significant differences in the Ace (A:905.87 ± 45.52 vs. B:1128.06 ± 357.01 vs. C:792.09 ± 5 3.08; p = 0.024) (Fig. 2A), Chao 1 (A:903.96 ± 45.99 vs. B:1129.37 ± 343.91 vs. C:779.68 ± 54.89; p = 0.015) (Fig. 2B), and Observed species (A:819.57 ± 54.85 vs. B:1021.00 ± 366.85 vs. C:697.71 ± 47.24; p = 0.036) (Fig. 2C) indices were detected between the juvenile and adult groups. The goods-coverage assay revealed a significant increase in the features in the adolescent group than in the juvenile group (A:1 ± 0 vs. B:1 ± 0, p = 0.0422) (Fig. 2D). The above data suggest that the richness and diversity of the fecal microbiota were gradually increased during adolescence, followed by a decline to relatively steady levels detected in the adult group. The NMDS analysis based on Bray–Curtis dissimilarity demonstrated the β-diversity of the microbial community. The result was directionally distributed on the NMDS plot. Furthermore, the clusters of plots in the juvenile, adolescent, and adult groups were well-separated (stress = 1 × 10−4), suggesting a difference between the three groups (Fig. 2E). The ANOSIM (Bray–Curtis algorithm) results indicated a significant difference among the three groups (R = 0.121, p = 0.045) (Table II).

Fig. 2.

Fig. 2.

Diversity analysis of fecal microbiota of Pan Troglodytes in different ages.

A–D) Box plot of the α-diversity index of Ace (A) Chao1 (B) Observed species (C) and Goods-covrage (D). E) The Non-Metric Multi-Dimensional Scaling (NMDS) illustrating that the microbial community differences between chimpanzees in groups A, B and C was statistically significant at the Stress level of 1 × 10−4.

Table II.

The ANOSIM analysis was used to test the significance of differences in community structure between groups.

Groups R p-value
A vs. B 0.0068027 0.383
A vs. C 0.1574344 0.082
B vs. C 0.1977648 0.064
A vs. B vs. C 0.1209373 0.045
C vs. B vs. A 0.1209373 0.045

Analysis of the discriminative keystone taxa between the juvenile, adolescent, and adult chimpanzee groups

A linear discriminant analysis was used to identify the discriminative keystone taxa between the juvenile, adolescent, and adult groups (p < 0.05, |log10 LDA score| ≥ 3.0). As a result, a total of 8 taxa were detected in the three groups. The juvenile group was distinguished by the most prevalent family Streptococcaceae (3.59, p = 0.013) (two taxa). The adolescent group was characterized by the highest abundance of the phylum Bacteroidetes (4.11, p = 0.031) (three taxa) and genus Ruminococcaceae UCG-014 (3.12, p = 0.038) (one taxon). The adult group was characterized by the genus E. coprostanoligenes (3.20, p = 0.049) (one taxon) and class Alphaproteobacteria (3.15, p = 0.020) (one taxon) (Fig. 3A). The cladogram in Fig. 3B suggests the microbiotal structure of the three groups.

Fig. 3.

Fig. 3.

The keystone taxa of Pan Troglodytes feces in different ages.

A) Histogram of the linear discriminant analysis (LDA) scores computed for features differentially abundant. Red green and blue bars represented bacterial conmmunities of juvenile adolescent and adult groups respectively. The criteria was set as p < 0.05, |log10 LDA score| ≥ 3.0. B) The cladogram analysis. Colors indicated represent the core bacterial populations in respective groups.

Discussion

This comprehensive study demonstrates the comparative fecal microbiota structure in captive chimpanzees at different developmental stages. We observed dynamic changes in the abundance of the gut microbial community at the phylum, class, and genus levels in the juvenile, adolescent, and adult stages. The chimpanzees at all stages were maintained using the same husbandry protocol and the standard recipes. However, the unique features reflected in the results strongly suggest that age critically regulates the gut microbiota structure in captive chimpanzees.

LEfSe analysis identified the family Streptococcaceae (two taxa) as the characteristic flora in the juvenile group; Streptococcus pneumoniae (Li et al. 2022) and Streptococcus varani (Bakour et al. 2016) were detected, however, they were not abundant at the species level. The presence of S. pneumoniae and S. varani in the gut microbiota indicates the presence of an immature intestinal microbiota in juvenile individuals. In the adolescent group, as the intestinal microbiota continued to mature, the phylum Bacteroidetes (three taxa) and the genus Ruminococcaceae UCG-014, belonging to the phylum of Firmicutes, became the most distinct flora. E. coprostanoligenes was one of the most characteristic flora in the adult group. The genus Eubacterium represents a pivotal butyrogenic taxon that ferments dietary fibers into butyrate via glycolytic pathways and is associated with colonic butyrate production in healthy individuals (Louis and Flint 2009; Rivière et al. 2016; Litty and Müller 2021). Its increased abundance in the gut of adult chimpanzees is a collective outcome of dietary adaptation, physiological demands, and microbial niche competition. E. coprostanoligenes, one of the most important species, plays an essential role in cholesterol metabolism, cardiovascular protection (Ren et al. 1996; Le et al. 2022; Rouskas et al. 2025), and the regulation of reproductive health (Fu et al. 2024). Overall, these results suggest that differential microbial biomarkers undergo dynamic changes with temporal progression throughout gut development and maturation in captive chimpanzees.

Previously, the gut microbial communities within chimpanzees were reported to show a decrease in the α diversity (Shanon index) from infant to elderly (Degnan et al. 2012). Similarly, we found a declining trend in the gut microbial communities in captive chimpanzees. Additionally, we demonstrated that α diversity indices, such as Chao1, ACE, Observed species, decreased from the juvenile to the adult. Moreover, a transient increase of the α diversity index was found in the adolescent stage; however, no significant change was detected. This transient climax of the gut microbiome may be attributed to intensified host physiological demands, particularly somatic growth, immune maturation, and metabolic adaptation during adolescence. However, further analysis to elucidate the interplay of the gut microbial community structure throughout the development of chimpanzees will be required in our future research.

We, as well as other researchers (Szekely et al. 2010; Degnan et al. 2012; Moeller and Ochman 2013), have reported Firmicutes and Bacteroidetes to be the two dominant phyla. The Firmicutes phylum enables the host to extract substantial energy from dietary substrates (Sun et al. 2023; Dias et al. 2025), whereas Bacteroidetes exhibits comparatively limited efficiency in converting nutrients into available energy (Wexler and Goodman 2017; Pan et al. 2023). Therefore, the F/B ratio is widely accepted to regulate body weight crucially (Koliada, Syzenko et al. 2017; Aragón-Vela et al. 2021; Mohamed Qadir and Assafi 2021; Komodromou et al. 2024). In an extensive ape study, the F/B ratio was approximately 3.34 in wild adult chimpanzees (Degnan et al. 2012). In this study, the F/B ratio was lower than that of the wild species. Interestingly, a relatively low F/B ratio in captive chimpanzees compared to that in wild species was also reported previously (Narat et al. 2020). We hypothesized that captive chimpanzees require less biological energy to sustain vital functions than their wild counterparts owing to the reduced ecological demands, which is substantiated by the reduced body weights (Table SIII) observed in captive individuals than in the corresponding wild conspecifics at comparable age (Pusey et al. 2005). Interestingly, we found that the abundance of Lactobacillus increased, whereas that of Prevotella 9 was decreased. It is possible the captive dietary regimen mainly induced this microbial shift. Prevotella spp. harbor carbohydrate-active enzyme (CAZyme) systems specialized for degrading complex plant polysaccharides, such as xylan and cellulose, which are abundant in fibrous wild diets (e.g., leaves, fruits, and bark) (El Kaoutari et al. 2013; Kovatcheva-Datchary et al. 2015; Accetto and Avguštin 2019; Aakko et al. 2020; Wardman et al. 2022). Under captive conditions, a reduction in dietary fiber diminishes the ecological competitiveness of Prevotella. Concurrently, Lactobacillus spp. or Eubacterium proliferate owing to their rapid metabolic turnover in the captive oligotrophic environment, including the anthropogenic diets with simplified carbohydrates (Watson et al. 2013).

Collectively, this study, for the first time, delineates the ontogenetic trajectory of the gut microbiome assembly in captive chimpanzees (P. troglodytes) at the Shanghai Zoo and Hangzhou Zoo. Our study, revealing the longitudinal profiles of core taxa across developmental stages, provides: i) a preliminary framework for noninvasive health monitoring using fecal microbial signatures, where taxon-specific shifts (e.g., E. coprostanoligenes decline) can potentially indicate metabolic dysregulation before clinical manifestation; ii) evidence-based dietary guidelines for optimizing captive management to maintain Prevotella-associated detoxification capacity while accommodating age-dependent nutritional needs. In the subsequent investigations, multi-omics analyses (metagenomics/metabolomics) with longitudinal records of gastrointestinal hormone profiles, immune markers, and stereotypic behavior frequency will be integrated to unravel the microbiome-host physiological crosstalk.

Supplementary Material

Supplementary Material Details

pjm-2025-031_sm.xlsx (282.5KB, xlsx)

Acknowledgments

We thank the zookeepers who maintained the captive chimpanzees and collected fecal samples. This study was supported by a grant from Beijing Zoo (ZDK202204). The authors declare no conflict of interest.

Footnotes

Conflict of interest

The authors do not report any financial or personal connections with other persons or organizations, which might negatively affect the contents of this publication and/or claim authorship rights to this publication.

Contributor Information

YUYAN YOU, Email: youyy351@163.com.

HONGJIE PAN, Email: panhongjie@sibpt.cn.

Literature

  1. Aakko J, Pietilä S, Toivonen R, Rokka A, Mokkala K, Laitinen K, Elo L, Hänninen A. A carbohydrate-active enzyme (CAZy) profile links successful metabolic specialization of Prevotella to its abundance in gut microbiota Sci Rep 2020;10(1):12411. doi: 10.1038/s41598-020-69241-2. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Abeli T, Dalrymple S, Godefroid S, Mondoni A, Müller JV, Rossi G, Orsenigo S. Ex situ collections and their potential for the restoration of extinct plants Conserv Biol 2020;34(2):303. doi: 10.1111/cobi.13391. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  3. Accetto T, Avguštin G. The diverse and extensive plant polysaccharide degradative apparatuses of the rumen and hindgut Prevotella species: A factor in their ubiquity? Syst Appl Microbiol 2019;42(2):107. doi: 10.1016/j.syapm.2018.10.001. . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  4. Altschul DM, Wallace EK, Sonnweber R, Tomonaga M, Weiss A. Chimpanzee intellect: Personality, performance and motivation with touchscreen tasks R Soc Open Sci 2017;4(5):170169. doi: 10.1098/rsos.170169. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Amato KR, Lake BR, Ozminkowski S, Jiang H, Moy M, Sardaro MLS, Fultz A, Hopper LM. Exploring the utility of the gut microbiome as a longitudinal health monitoring tool in sanctuary chimpanzees (Pan troglodytes) Am J Primatol 2025;87(3):e70004. doi: 10.1002/ajp.70004. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Aragón-Vela J, Solis-Urra P, Ruiz-Ojeda FJ, Álvarez-Mercado AI, Olivares-Arancibia J, Plaza-Diaz J. Impact of exercise on gut microbiota in obesity Nutrients 2021;13(11):3999. doi: 10.3390/nu13113999. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. AZA Ape TAG. Chimpanzee (Pan troglodytes) care manual. Silver Spring (USA): Association of Zoos and Aquariums; 2010. . : ; . [Google Scholar]
  8. Bakour S, Rathored J, Lo CI, Mediannikov O, Beye M, Ehounoud CB, Biagini P, Raoult D, Fournier PE, Fenollar F. Non-contiguous finished genome sequence and description of Streptococcus varani sp. nov New Microbes New Infect 2016;11:93. doi: 10.1016/j.nmni.2016.03.004. . . ; : –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Baniel A, Petrullo L, Mercer A, Reitsema L, Sams S, Beehner JC, Bergman TJ, Snyder-Mackler N, Lu A. Maternal effects on early-life gut microbiota maturation in a wild nonhuman primate Curr Biol 2022;32(20):4508. doi: 10.1016/j.cub.2022.08.037. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  10. Cabana F, Jasmi R, Maguire R. Great ape nutrition: low-sugar and high-fibre diets can lead to increased natural behaviours, decreased regurgitation and reingestion, and reversal of prediabetes Int. Zoo Yb 2018;52:48. doi: 10.1111/izy.12172. . . ; : –. . [DOI] [Google Scholar]
  11. Campbell TP, Sun X, Patel VH, Sanz C, Morgan D, Dantas G. The microbiome and resistome of chimpanzees, gorillas, and humans across host lifestyle and geography ISME J 2020;14(6):1584. doi: 10.1038/s41396-020-0634-2. . . ; ( ): – . . [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Cantwell A, Buckholtz JW, Atencia R, Rosati AG. The origins of cognitive flexibility in chimpanzees Dev Sci 2022 NaN25(5):e13266. doi: 10.1111/desc.1326. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Peña AG, Goodrich JK, Gordon JI, et al. QIIME allows analysis of high-throughput community sequencing data Nat Methods 2010 NaN7(5):335. doi: 10.1038/nmeth.f.303. . . ; ( ): –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Carlsen F, de Jongh T, Pluháčková J. EAZA best practice guidelines for chimpanzees (Pan troglodytes) – 1st edition. Amsterdam (The Netherlands): European Association of Zoos and Aquariums; 2022. . : ; . [DOI] [Google Scholar]
  15. Clayton JB, Vangay P, Huang H, Ward T, Hillmann BM, Al-Ghalith GA, Travis DA, Long HT, Tuan BV, Minh VV, et al. Captivity humanizes the primate microbiome Proc Natl Acad Sci USA 2016;113(37):10376. doi: 10.1073/pnas.1521835113. . . ; ( ): –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Costantini D, Masi S, Rachid L, Beltrame M, Rohmer M, Krief S. Mind the food: rapid changes in antioxidant content of diet affect oxidative status of chimpanzees Am J Physiol Regul Integr Comp Physiol 2021;320(5):R728. doi: 10.1152/ajpregu.00003.2021. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  17. Degnan PH, Pusey AE, Lonsdorf EV, Goodall J, Wroblewski EE, Wilson ML, Rudicell RS, Hahn BH, Ochman H. Factors associated with the diversification of the gut microbial communities within chimpanzees from Gombe National Park Proc Natl Acad Sci USA 2012;109(32):13034. doi: 10.1073/pnas.1110994109. . . ; ( ): –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Dias BDC, Lamarca AP, Machado DT, Kloh VP, de Carvalho FM, Vasconcelos ATR. Metabolic pathways associated with Firmicutes prevalence in the gut of multiple livestock animals and humans Anim Microbiome 2025;7(1):20. doi: 10.1186/s42523-025-00379-y. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads Nat Methods 2013 NaN10(10):996. doi: 10.1038/nmeth.2604. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  20. El Kaoutari A, Armougom F, Gordon JI, Raoult D, Henrissat B. The abundance and variety of carbohydrate-active enzymes in the human gut microbiota Nat Rev Microbiol 2013;11(7):497. doi: 10.1038/nrmicro3050. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  21. Fu L, Lou Y, Guo Y, Zhou F, Ma J, Wang S, Gu Y, Fu B, Lu W. Seminal plasma microbiomes, sperm parameters, and cryopreservation in a healthy fertile population Front Microbiol 2024;15:1401326. doi: 10.3389/fmicb.2024.1401326. . . ; : . [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Goodall J. The chimpanzees of Gombe: patterns of behavior. Cambridge (USA): Harvard University Press; 1986. . : ; . [Google Scholar]
  23. Koliada A, Syzenko G, Moseiko V, Budovska L, Puchkov K, Perederiy V, Gavalko Y, Dorofeyev A, Romanenko M, Tkach S, et al. Association between body mass index and Firmicutes/Bacteroidetes ratio in an adult Ukrainian population BMC Microbiol 2017;17(1):120. doi: 10.1186/s12866-017-1027-1. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Komodromou I, Andreou E, Vlahoyiannis A, Christofidou M, Felekkis K, Pieri M, Giannaki CD. Exploring the dynamic relationship between the gut microbiome and body composition across the human lifespan: A systematic review Nutrients 2024;16(5):660. doi: 10.3390/nu16050660. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Kovatcheva-Datchary P, Nilsson A, Akrami R, Lee YS, De Vadder F, Arora T, Hallen A, Martens E, Björck I, Bäckhed F. Dietary fiber-induced improvement in glucose metabolism is associated with increased abundance of Prevotella Cell Metab 2015;22(6):971. doi: 10.1016/j.cmet.2015.10.001. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  26. Le HH, Lee MT, Besler KR, Comrie JMC, Johnson EL. Characterization of interactions of dietary cholesterol with the murine and human gut microbiome Nat Microbiol 2022;7(9):1390. doi: 10.1038/s41564-022-01195-9. . . ; ( ): –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Li Y, Xu X, Guo Z, Li Q, Wang Y, Jian D, Zhang G, Tian X, Chen S, Luo Z. Neonatal Streptococcus pneumoniae infection induces long-lasting dysbiosis of the gut microbiota in a mouse model Front Microbiol 2022;13:961684. doi: 10.3389/fmicb.2022.961684. . . ; : . [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Litty D, Müller V. Butyrate production in the acetogen Eubacterium limosum is dependent on the carbon and energy source Microb Biotechnol 2021;14(6):2686. doi: 10.1111/1751-7915.13779. . . ; ( ): –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Louis P, Flint HJ. Diversity, metabolism and microbial ecology of butyrate-producing bacteria from the human large intestine FEMS Microbiol Lett 2009;294(1):1. doi: 10.1111/j.1574-6968.2009.01514.x. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  30. Magoč T, Salzberg SL. FLASH: fast length adjustment of short reads to improve genome assemblies Bioinformatics 2011 NaN27(21):2957. doi: 10.1093/bioinformatics/btr507. . . ; ( ): –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Moeller AH, Ochman H. Factors that drive variation among gut microbial communities Gut Microbes 2013 NaN4(5):403. doi: 10.4161/gmic.26039. . . ; ( ): - . [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Moeller AH, Foerster S, Wilson ML, Pusey AE, Hahn BH, Ochman H. Social behavior shapes the chimpanzee pan-microbiome Sci Adv 2016;2(1):e1500997. doi: 10.1126/sciadv.1500997. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Mohamed Qadir R, Assafi MS. The association between body mass index and the oral Firmicutes and Bacteroidetes profiles of healthy individuals Malays Fam Physician 2021;16(3):36. doi: 10.51866/oa1129. . . ; ( ): –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Narat V, Amato KR, Ranger N, Salmona M, Mercier-Delarue S, Rupp S, Ambata P, Njouom R, Simon F, Giles-Vernick T, et al. A multi-disciplinary comparison of great ape gut microbiota in a central African forest and European zoo Sci Rep 2020;10(1):19107. doi: 10.1038/s41598-020-75847-3. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Nishida AH, Ochman H. A great-ape view of the gut microbiome Nat Rev Genet 2019;20(4):195. doi: 10.1038/s41576-018-0085-z. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  36. Pan X, Liu F, Song Y, Wang H, Wang L, Qiu H, Price M, Li J. Motor stereotypic behavior was associated with immune response in macaques: Insight from transcriptome and gut microbiota analysis Front Microbiol 2021;12:644540. doi: 10.3389/fmicb.2021.644540. . . ; : . [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Pan X, Raaijmakers JM, Carrión VJ. Importance of Bacteroidetes in host-microbe interactions and ecosystem functioning Trends Microbiol 2023;31(9):959. doi: 10.1016/j.tim.2023.03.018. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  38. Pascual A, Kalcher-Sommersguter E, Riba D, Crailsheim D. Long-term assessment of captive chimpanzees: Influence of social group composition, seasonality and biographic background Animals 2023;13(3):424. doi: 10.3390/ani13030424. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Pusey AE, Oehlert GW, Williams JM, Goodall J. Influence of ecological and social factors on body mass of wild chimpanzees Int J Primatol 2005;26(1):3. doi: 10.1007/s10764-005-0721-2. . . ; ( ): –. . [DOI] [Google Scholar]
  40. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools Nucleic Acids Res 2013 NaN41:D590. doi: 10.1093/nar/gks1219. . . ; (Database issue): –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Reese AT, Phillips SR, Owens LA, Venable EM, Langergraber KE, Machanda ZP, Mitani JC, Muller MN, Watts DP, Wrangham RW, et al. Age patterning in wild chimpanzee gut microbiota diversity reveals differences from humans in early life Curr Biol 2021;31(3):613. doi: 10.1016/j.cub.2020.10.075. . . ; ( ): –. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Ren D, Li L, Schwabacher AW, Young JW, Beitz DC. Mechanism of cholesterol reduction to coprostanol by Eubacterium coprostanoligenes ATCC 51222 Steroids 1996;61(1):33. doi: 10.1016/0039-128x(95)00173-n. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  43. Rivière A, Selak M, Lantin D, Leroy F, De Vuyst L. Bifidobacteria and butyrate-producing colon bacteria: Importance and strategies for their stimulation in the human gut Front Microbiol 2016;7:979. doi: 10.3389/fmicb.2016.00979. . . ; : . [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Roth G. Convergent evolution of complex brains and high intelligence Philos Trans R Soc Lond B Biol Sci 2015;370(1684):20150049. doi: 10.1098/rstb.2015.0049. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Rouskas K, Guela M, Pantoura M, Pagkalos I, Hassapidou M, Lalama E, Pfeiffer AFH, Decorte E, Cornelissen V, Wilson-Barnes S, et al. The influence of an AI-driven personalized nutrition program on the human gut microbiome and its health implications Nutrients 2025;17(7):1260. doi: 10.3390/nu17071260. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Staerk J, Colchero F, Kenney MA, Wilson KA, Foden WB, Carr JA, Pereboom Z, Bland L, Flesness N, Martin T, et al. A decision framework to integrate in-situ and ex-situ management for species in the European Union Front Conserv Sci 2024;4:1298850. doi: 10.3389/fcosc.2023.1298850. . . ; : . [DOI] [Google Scholar]
  47. Sun Y, Zhang S, Nie Q, He H, Tan H, Geng F, Ji H, Hu J, Nie S. Gut firmicutes: Relationship with dietary fiber and role in host homeostasis Crit Rev Food Sci Nutr 2023;63(33):12073. doi: 10.1080/10408398.2022.2098249. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  48. Szekely BA, Singh J, Marsh TL, Hagedorn C, Werre SR, Kaur T. Fecal bacterial diversity of human-habituated wild chimpanzees (Pan troglodytes schweinfurthii) at Mahale Mountains National Park, Western Tanzania Am J Primatol 2010;72(7):566. doi: 10.1002/ajp.20809. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  49. Tutin CEG, Fernandez M. Composition of the diet of chimpanzees and comparisons with that of sympatric lowland gorillas in the lopé reserve, gabon Am J Primatol 1993;30(3):195. doi: 10.1002/ajp.1350300305. . . ; ( ): –. . [DOI] [PubMed] [Google Scholar]
  50. van den Heuvel MP, Ardesch DJ, Scholtens LH, de Lange SC, van Haren NEM, Sommer IEC, Dannlowski U, Repple J, Preuss TM, Hopkins WD, et al. Human and chimpanzee shared and divergent neurobiological systems for general and specific cognitive brain functions Proc Natl Acad Sci USA 2023;120(22):e2218565120. doi: 10.1073/pnas.2218565120. . . ; ( ): . [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Visser F, Drouilly M, Moodley Y, Michaux JR, Somers MJ. Mismatch between conservation needs and actual representation of.

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