Insectivory, or the consumption of insects and other arthropods, is a significant though largely unexplored component of omnivorous primate diets. Here, we used high-throughput DNA sequencing to identify arthropods from fecal DNA and assess variation in insectivory by closely-related sympatric primates. We identified arthropod prey taxa and tested the hypothesis that variation in insectivory facilitates niche differentiation and coexistence among closely-related species with high dietary overlap. We collected 233 fecal samples from redtail (Cercopithecus ascanius; n=118) and blue monkeys (C. mitis; n=115) and used marker gene sequencing to identify arthropod DNA in each fecal sample. Arthropod DNA was detected in 99% of samples (N=223 samples), and a total of 68 families (15 orders) were identified. Redtails consumed arthropods from 54 families, of which 12 (21.8%) were absent from blue monkey samples. Blue monkeys consumed arthropods from 56 families, of which 14 (24.6%) were absent from redtail samples. For both species, >97% of taxa present belonged to four orders (Araneae, Diptera, Hymenoptera, Lepidoptera). Redtail samples contained more Lepidoptera taxa (p<0.05), while blue monkey samples contained more Araneae (p<0.05). Blue monkeys consumed a greater diversity of arthropod taxa than redtail monkeys (p<0.05); however, the average number of arthropod taxa present per fecal sample was greater in the redtail monkey samples (p<0.05). These results indicate that while overlap exists in the arthropod portion of their diets, 20-25% of taxa consumed are unique to each group
| Accession | PRJNA521629 |
| Data Type | Raw sequence reads |
| Scope | Multispecies |
| Grants | - "Grants-in-aid of Research" (Grant ID G201503151206894, Sigma Xi)
- "Doctoral Dissertation Research Improvement Grant" (Grant ID 1540337, National Science Foundation)
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| Submission | Registration date: 9-Feb-2019 University of Texas at San Antonio |
| Relevance | Model Organism |
Project Data:
| Resource Name | Number of Links |
|---|
| Sequence data |
| SRA Experiments | 1 |
| Other datasets |
| BioSample | 1 |