Evidence map›Paper›PMID 34906258›Full record

ArticleAnimal microbiome2021

You are more than what you eat: potentially adaptive enrichment of microbiome functions across bat dietary niches.

Melissa R Ingala, Nancy B Simmons, Miranda Dunbar, Claudia Wultsch, Konstantinos Krampis, Susan L Perkins

Abstract read
In one paragraph

Article in Animal microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Living Microbial Drugs.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  2. Article
  3. Phenological Changes in the Fecal Microbiota ofAnimals : an open access journal from MDPI · 2026
    Article
  4. Article
  5. Article
  6. Functional potential of gut microbiota inFrontiers in microbiology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. ISME communications · 2025
    Article
  15. Article
  16. Article
  17. White adipose tissue remodeling in Little Brown Myotis (Myotis lucifugus) with white-nose syndrome.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Melissa R IngalaDepartment of Vertebrate Zoology, National Museum of Natural History, Washington, DC, USA. ingala.melissar@gmail.com.ORCID http://orcid.org/0000-0002-9866-5646
Nancy B SimmonsDepartment of Mammalogy, The American Museum of Natural History, New York, NY, USA.
Miranda DunbarDepartment of Biological Sciences, Southern Connecticut State University, New Haven, CT, USA.
Claudia WultschSackler Institute for Comparative Genomics, The American Museum of Natural History, New York, NY, USA.
Konstantinos KrampisBioinformatics and Computational Genomics Laboratory, Hunter College, City University of New York, New York, NY, USA.
Susan L PerkinsDivision of Invertebrate Zoology, The American Museum of Natural History, New York, NY, USA.

Funding

AAUP Foundation CSU-AAUP Travel GrantAmerican Museum of Natural History RGGS Research AssistantshipAmerican Society of Mammalogists Grant-in-aid of ResearchExplorers Club TEC 2018 Exploration Fund GrantSigma Xi Grant-in-aid of ResearchSociety for Integrative and Comparative Biology 2017 Grant-in-aid of Research
6 · The paper itself

Abstract

backgroundAnimals evolved in a microbial world, and their gut microbial symbionts have played a role in their ecological diversification. While many recent studies report patterns of phylosymbiosis between hosts and their gut bacteria, fewer studies examine the potentially adaptive functional contributions of these microbes to the dietary habits of their hosts. In this study, we examined predicted metabolic pathways in the gut bacteria of more than 500 individual bats belonging to 60 species and compare the enrichment of these functions across hosts with distinct dietary ecologies.

resultsWe found that predicted microbiome functions were differentially enriched across hosts with different diets. Using a machine-learning approach, we also found that inferred microbiome functions could be used to predict specialized host diets with reasonable accuracy. We detected a relationship between both host phylogeny and diet with respect to microbiome functional repertoires. Because many predicted functions could potentially fill nutritional gaps for bats with specialized diets, we considered pathways discriminating dietary niches as traits of the host and fit them to comparative phylogenetic models of evolution. Our results suggest that some, but not all, predicted microbiome functions may evolve toward adaptive optima and thus be visible to the forces of natural selection operating on hosts over evolutionary time.

conclusionsOur results suggest that bats with specialized diets may partially rely on their gut microbes to fulfill or augment critical nutritional pathways, including essential amino acid synthesis, fatty acid biosynthesis, and the generation of cofactors and vitamins essential for proper nutrition. Our work adds to a growing body of literature suggesting that animal microbiomes are structured by a combination of ecological and evolutionary processes and sets the stage for future metagenomic and metabolic characterization of the bat microbiome to explore links between bacterial metabolism and host nutrition.

Indexed as

16S rRNA geneBatsDietary ecologyEvolutionFunctional predictionMicrobiome

Identifiers

PMID34906258
PMCPMC8672517

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.