Wide-ranging consequences of priority effects governed by an overarching factor

  1. Callie Rodgers Chappell  Is a corresponding author
  2. Manpreet K Dhami
  3. Mark C Bitter
  4. Lucas Czech
  5. Sur Herrera Paredes
  6. Fatoumata Binta Barrie
  7. Yadira Calderón
  8. Katherine Eritano
  9. Lexi-Ann Golden
  10. Daria Hekmat-Scafe
  11. Veronica Hsu
  12. Clara Kieschnick
  13. Shyamala Malladi
  14. Nicole Rush
  15. Tadashi Fukami  Is a corresponding author
  1. Stanford University, United States
  2. Manaaki Whenua - Landcare Research, New Zealand
  3. Carnegie Institution for Science, United States
  4. University of California, Santa Barbara, United States

Abstract

Priority effects, where arrival order and initial relative abundance modulate local species interactions, can exert taxonomic, functional, and evolutionary influences on ecological communities by driving them to alternative states. It remains unclear if these wide-ranging consequences of priority effects can be explained systematically by a common underlying factor. Here, we identify such a factor in an empirical system. In a series of field and laboratory studies, we focus on how pH affects nectar-colonizing microbes and their interactions with plants and pollinators. In a field survey, we found that nectar microbial communities in a hummingbird-pollinated shrub, Diplacus (formerly Mimulus) aurantiacus, exhibited abundance patterns indicative of alternative stable states that emerge through domination by either bacteria or yeasts within individual flowers. In addition, nectar pH varied among D. aurantiacus flowers in a manner that is consistent with the existence of these alternative stable states. In laboratory experiments, Acinetobacter nectaris, the bacterium most commonly found in D. aurantiacus nectar, exerted a strongly negative priority effect against Metschnikowia reukaufii, the most common nectar-specialist yeast, by reducing nectar pH. This priority effect likely explains the mutually exclusive pattern of dominance found in the field survey. Furthermore, experimental evolution simulating hummingbird-assisted dispersal between flowers revealed that M. reukaufii could evolve rapidly to improve resistance against the priority effect if constantly exposed to A. nectaris-induced pH reduction. Finally, in a field experiment, we found that low nectar pH could reduce nectar consumption by hummingbirds, suggesting functional consequences of the pH-driven priority effect for plant reproduction. Taken together, these results show that it is possible to identify an overarching factor that governs the eco-evolutionary dynamics of priority effects across multiple levels of biological organization.

Data availability

Raw sequencing reads are available at NCBI Sequence Read Archive (BioProject PRJNA825574). All other data and code reported in this paper are available at: https://gitlab.com/teamnectarmicrobe/n06_nectarmicrobes_ecoevo

The following data sets were generated

Article and author information

Author details

  1. Callie Rodgers Chappell

    Department of Biology, Stanford University, Stanford, United States
    For correspondence
    calliech@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4611-0021
  2. Manpreet K Dhami

    Biocontrol and Molecular Ecology, Manaaki Whenua - Landcare Research, Lincoln, New Zealand
    Competing interests
    The authors declare that no competing interests exist.
  3. Mark C Bitter

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7607-2375
  4. Lucas Czech

    Department of Plant Biology, Carnegie Institution for Science, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1340-9644
  5. Sur Herrera Paredes

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Fatoumata Binta Barrie

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Yadira Calderón

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Katherine Eritano

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Lexi-Ann Golden

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Daria Hekmat-Scafe

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. Veronica Hsu

    Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, Goleta, United States
    Competing interests
    The authors declare that no competing interests exist.
  12. Clara Kieschnick

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  13. Shyamala Malladi

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  14. Nicole Rush

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  15. Tadashi Fukami

    Department of Biology, Stanford University, Stanford, United States
    For correspondence
    fukamit@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5654-4785

Funding

National Science Foundation (DEB 1149600)

  • Tadashi Fukami

National Science Foundation (DEB 1737758)

  • Tadashi Fukami

National Science Foundation (DGE 1656518)

  • Callie Rodgers Chappell

Marsden Fund (MFP-LCR-2002)

  • Manpreet K Dhami

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2022, Chappell et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,943
    views
  • 294
    downloads
  • 24
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Callie Rodgers Chappell
  2. Manpreet K Dhami
  3. Mark C Bitter
  4. Lucas Czech
  5. Sur Herrera Paredes
  6. Fatoumata Binta Barrie
  7. Yadira Calderón
  8. Katherine Eritano
  9. Lexi-Ann Golden
  10. Daria Hekmat-Scafe
  11. Veronica Hsu
  12. Clara Kieschnick
  13. Shyamala Malladi
  14. Nicole Rush
  15. Tadashi Fukami
(2022)
Wide-ranging consequences of priority effects governed by an overarching factor
eLife 11:e79647.
https://doi.org/10.7554/eLife.79647

Share this article

https://doi.org/10.7554/eLife.79647

Further reading

    1. Ecology
    Mercury Shitindo
    Insight

    Tracking wild pigs with GPS devices reveals how their social interactions could influence the spread of disease, offering new strategies for protecting agriculture, wildlife, and human health.

    1. Ecology
    2. Neuroscience
    Ralph E Peterson, Aman Choudhri ... Dan H Sanes
    Research Article

    In nature, animal vocalizations can provide crucial information about identity, including kinship and hierarchy. However, lab-based vocal behavior is typically studied during brief interactions between animals with no prior social relationship, and under environmental conditions with limited ethological relevance. Here, we address this gap by establishing long-term acoustic recordings from Mongolian gerbil families, a core social group that uses an array of sonic and ultrasonic vocalizations. Three separate gerbil families were transferred to an enlarged environment and continuous 20-day audio recordings were obtained. Using a variational autoencoder (VAE) to quantify 583,237 vocalizations, we show that gerbils exhibit a more elaborate vocal repertoire than has been previously reported and that vocal repertoire usage differs significantly by family. By performing gaussian mixture model clustering on the VAE latent space, we show that families preferentially use characteristic sets of vocal clusters and that these usage preferences remain stable over weeks. Furthermore, gerbils displayed family-specific transitions between vocal clusters. Since gerbils live naturally as extended families in complex underground burrows that are adjacent to other families, these results suggest the presence of a vocal dialect which could be exploited by animals to represent kinship. These findings position the Mongolian gerbil as a compelling animal model to study the neural basis of vocal communication and demonstrates the potential for using unsupervised machine learning with uninterrupted acoustic recordings to gain insights into naturalistic animal behavior.