Lichen mimesis in mid-Mesozoic lacewings

  1. Hui Fang
  2. Conrad C Labandeira
  3. Yiming Ma
  4. Bingyu Zheng
  5. Dong Ren
  6. Xinli Wei  Is a corresponding author
  7. Jiaxi Liu  Is a corresponding author
  8. Yongjie Wang  Is a corresponding author
  1. Capital Normal University, China
  2. Smithsonian Institute, United States
  3. Institute of Microbiology, Chinese Academy of Sciences, China

Abstract

Animals mimicking other organisms or using camouflage to deceive predators are vital survival strategies. Modern and fossil insects can simulate diverse objects. Lichens are an ancient symbiosis between a fungus and an alga or a cyanobacterium that sometimes have a plant-like appearance and occasionally are mimicked by modern animals. Nevertheless, lichen models are almost absent in fossil record of mimicry. Here, we provide the earliest fossil evidence of a mimetic relationship between the moth lacewing mimic Lichenipolystoechotes gen. nov. and its co-occurring fossil lichen model Daohugouthallus ciliiferus. We corroborate the lichen affinity of D. ciliiferus and document this mimetic relationship by providing structural similarities and detailed measurements of the mimic’s wing and correspondingly the model’s thallus. Our discovery of lichen mimesis predates modern lichen-insect associations by 165 million years, indicating that during the mid-Mesozoic, the lichen-insect mimesis system was well established and provided lacewings with highly honed survival strategies.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

Article and author information

Author details

  1. Hui Fang

    College of Life Sciences and Academy for Multidisciplinary Studies, Capital Normal University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  2. Conrad C Labandeira

    Smithsonian Institute, Washington, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Yiming Ma

    College of Life Sciences and Academy for Multidisciplinary Studies, Capital Normal University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  4. Bingyu Zheng

    College of Life Sciences and Academy for Multidisciplinary Studies, Capital Normal University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  5. Dong Ren

    College of Life Sciences and Academy for Multidisciplinary Studies, Capital Normal University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  6. Xinli Wei

    State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
    For correspondence
    weixl@im.ac.cn
    Competing interests
    The authors declare that no competing interests exist.
  7. Jiaxi Liu

    College of Life Sciences and Academy for Multidisciplinary Studies, Capital Normal University, Beijing, China
    For correspondence
    liu-jiax@263.net
    Competing interests
    The authors declare that no competing interests exist.
  8. Yongjie Wang

    College of Life Sciences and Academy for Multidisciplinary Studies, Capital Normal University, Beijing, China
    For correspondence
    wangyjosmy@foxmail.com
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1397-8481

Funding

National Natural Science Foundation of China (31970383)

  • Yongjie Wang

National Natural Science Foundation of China (31730087,41688103)

  • Dong Ren

National Natural Science Foundation of China (31770022)

  • Xinli Wei

Natural Science Foundation of Beijing Municipality (5192002)

  • Yongjie Wang

Academy for Multidisciplinary Studies of Capital Normal University

  • Dong Ren
  • Yongjie Wang

Capacity Building for Sci-Tech Innovation - Fundamental Scientific Research Funds (19530050144)

  • Yongjie Wang

Program for Changjiang Scholars and Innovative Research Team in University (IRT-17R75)

  • Dong Ren

Support Project of High Level Teachers in Beijing Municipal Universities (IDHT20180518)

  • Dong Ren

Graduate Student Program for International Exchange and Joint Supervision at Capital Normal University (028175534000,028185511700)

  • Hui Fang

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

Reviewing Editor

  1. George H Perry, Pennsylvania State University, United States

Version history

  1. Received: May 16, 2020
  2. Accepted: July 27, 2020
  3. Accepted Manuscript published: July 29, 2020 (version 1)
  4. Version of Record published: September 1, 2020 (version 2)

Copyright

This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Metrics

  • 2,762
    views
  • 367
    downloads
  • 17
    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. Hui Fang
  2. Conrad C Labandeira
  3. Yiming Ma
  4. Bingyu Zheng
  5. Dong Ren
  6. Xinli Wei
  7. Jiaxi Liu
  8. Yongjie Wang
(2020)
Lichen mimesis in mid-Mesozoic lacewings
eLife 9:e59007.
https://doi.org/10.7554/eLife.59007

Share this article

https://doi.org/10.7554/eLife.59007

Further reading

    1. Ecology
    2. Epidemiology and Global Health
    Emilia Johnson, Reuben Sunil Kumar Sharma ... Kimberly Fornace
    Research Article

    Zoonotic disease dynamics in wildlife hosts are rarely quantified at macroecological scales due to the lack of systematic surveys. Non-human primates (NHPs) host Plasmodium knowlesi, a zoonotic malaria of public health concern and the main barrier to malaria elimination in Southeast Asia. Understanding of regional P. knowlesi infection dynamics in wildlife is limited. Here, we systematically assemble reports of NHP P. knowlesi and investigate geographic determinants of prevalence in reservoir species. Meta-analysis of 6322 NHPs from 148 sites reveals that prevalence is heterogeneous across Southeast Asia, with low overall prevalence and high estimates for Malaysian Borneo. We find that regions exhibiting higher prevalence in NHPs overlap with human infection hotspots. In wildlife and humans, parasite transmission is linked to land conversion and fragmentation. By assembling remote sensing data and fitting statistical models to prevalence at multiple spatial scales, we identify novel relationships between P. knowlesi in NHPs and forest fragmentation. This suggests that higher prevalence may be contingent on habitat complexity, which would begin to explain observed geographic variation in parasite burden. These findings address critical gaps in understanding regional P. knowlesi epidemiology and indicate that prevalence in simian reservoirs may be a key spatial driver of human spillover risk.

    1. Computational and Systems Biology
    2. Ecology
    Kazushi Tsutsui, Ryoya Tanaka ... Keisuke Fujii
    Research Article

    Collaborative hunting, in which predators play different and complementary roles to capture prey, has been traditionally believed to be an advanced hunting strategy requiring large brains that involve high-level cognition. However, recent findings that collaborative hunting has also been documented in smaller-brained vertebrates have placed this previous belief under strain. Here, using computational multi-agent simulations based on deep reinforcement learning, we demonstrate that decisions underlying collaborative hunts do not necessarily rely on sophisticated cognitive processes. We found that apparently elaborate coordination can be achieved through a relatively simple decision process of mapping between states and actions related to distance-dependent internal representations formed by prior experience. Furthermore, we confirmed that this decision rule of predators is robust against unknown prey controlled by humans. Our computational ecological results emphasize that collaborative hunting can emerge in various intra- and inter-specific interactions in nature, and provide insights into the evolution of sociality.