Evidence map›Paper›PMID 33664782›Full record

ArticleEvolutionary applications2021

Comparative transcriptomics of ice-crawlers demonstrates cold specialization constrains niche evolution in a relict lineage.

Sean D Schoville, Sabrina Simon, Ming Bai, Zachary Beethem, Roman Y Dudko, Monika J B Eberhard, Paul B Frandsen, Simon C Küpper, Ryuichiro Machida, Max Verheij and 3 more

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Genetics of adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. 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

13 authors at 9 institutions in 6 countries.

Sean D SchovilleDepartment of Entomology University of Wisconsin-Madison Madison WI USA.ORCID https://orcid.org/0000-0001-7364-434X
Sabrina SimonBiosystematics Group Wageningen University & Research PB Wageningen The Netherlands.
Ming BaiKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.
Zachary BeethemDepartment of Entomology University of Wisconsin-Madison Madison WI USA.
Roman Y DudkoInstitute of Systematics and Ecology of Animals Siberian Branch of the Russian Academy of Sciences Novosibirsk Russia.
Monika J B EberhardZoological Institute and Museum General Zoology and Zoological Systematics University of Greifswald Greifswald Germany.
Paul B FrandsenDepartment of Plant & Wildlife Sciences Brigham Young University Provo UT USA.
Simon C KüpperZoological Institute and Museum General Zoology and Zoological Systematics University of Greifswald Greifswald Germany.
Ryuichiro MachidaSugadaira Research Station Mountain Science Center University of Tsukuba Ueda, Nagano Japan.
Max VerheijBiosystematics Group Wageningen University & Research PB Wageningen The Netherlands.
Peter C WilladsenDepartment of Entomology University of Wisconsin-Madison Madison WI USA.
Xin ZhouDepartment of Entomology College of Plant Protection China Agricultural University Beijing China.
Benjamin WipflerZoologisches Forschungsmuseum Alexander Koenig Bonn Germany.
University of Wisconsin–Madison · USUniversität Greifswald · DEWageningen University & Research · NLBrigham Young University · USChina Agricultural University · CNChinese Academy of Sciences · CNNational Research Tomsk State University · RUUniversity of Tsukuba · JPZoological Research Museum Alexander Koenig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key changes in ecological niche space are often critical to understanding how lineages diversify during adaptive radiations. However, the converse, or understanding why some lineages are depauperate and relictual, is more challenging, as many factors may constrain niche evolution. In the case of the insect order Grylloblattodea, highly conserved thermal breadth is assumed to be closely tied to their relictual status, but has not been formerly tested. Here, we investigate whether evolutionary constraints in the physiological tolerance of temperature can help explain relictualism in this lineage. Using a comparative transcriptomics approach, we investigate gene expression following acute heat and cold stress across members of Grylloblattodea and their sister group, Mantophasmatodea. We additionally examine patterns of protein evolution, to identify candidate genes of positive selection. We demonstrate that cold specialization in Grylloblattodea has been accompanied by the loss of the inducible heat shock response under both acute heat and cold stress. Additionally, there is widespread evidence of selection on protein-coding genes consistent with evolutionary constraints due to cold specialization. This includes positive selection on genes involved in trehalose transport, metabolic function, mitochondrial function, oxygen reduction, oxidative stress, and protein synthesis. These patterns of molecular adaptation suggest that Grylloblattodea have undergone evolutionary trade-offs to survive in cold habitats and should be considered highly vulnerable to climate change. Finally, our transcriptomic data provide a robust backbone phylogeny for generic relationships within Grylloblattodea and Mantophasmatodea. Major phylogenetic splits in each group relate to arid conditions driving biogeographical patterns, with support for a sister-group relationship between North American

Indexed as

adaptationgene regulationGrylloblattodeainsect phylogenomicsniche conservatismprotein evolution

Identifiers

PMID33664782
PMCPMC7896716
OpenAlexW3081663112

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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.