Evidence map›Paper›PMID 32181804›Full record

ArticleMolecular biology and evolution2020

Genomic Signature of Shifts in Selection in a Subalpine Ant and Its Physiological Adaptations.

Francesco Cicconardi, Patrick Krapf, Ilda D'Annessa, Alexander Gamisch, Herbert C Wagner, Andrew D Nguyen, Evan P Economo, Alexander S Mikheyev, Benoit Guénard, Reingard Grabherr and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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  7. An adaptive teosinteProceedings of the National Academy of Sciences of the United States of America · 2022
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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

15 authors at 9 institutions in 6 countries.

Francesco CicconardiSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Patrick KrapfDepartment of Ecology, University of Innsbruck, Innsbruck, Austria.
Ilda D'AnnessaIstituto di Scienze e Tecnologie Chimiche "Giulio Natta", CNR (SCITEC-CNR), Milan, Italy.
Alexander GamischDepartment of Ecology, University of Innsbruck, Innsbruck, Austria.
Herbert C WagnerDepartment of Ecology, University of Innsbruck, Innsbruck, Austria.
Andrew D NguyenDepartment of Entomology and Nematology, University of Florida, Gainesville, FL.
Evan P EconomoBiodiversity & Biocomplexity Unit, Okinawa Institute of Science & Technology, Onna, Japan.
Alexander S MikheyevEcology and Evolution Unit, Okinawa Institute of Science & Technology, Onna, Japan.
Benoit GuénardSchool of Biological Sciences, The University of Hong Kong, Hong Kong, China.
Reingard GrabherrInstitute of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Philipp AndesnerDepartment of Ecology, University of Innsbruck, Innsbruck, Austria.
Arthofer WolfgangDepartment of Ecology, University of Innsbruck, Innsbruck, Austria.
Daniele Di MarinoDepartment of Life and Environmental Sciences - New York-Marche Structural Biology Center (NY-MaSBiC), Polytechnic University of Marche, Ancona, Italy.
Florian M SteinerDepartment of Ecology, University of Innsbruck, Innsbruck, Austria.
Birgit C Schlick-SteinerDepartment of Ecology, University of Innsbruck, Innsbruck, Austria.
Universität Innsbruck · ATOkinawa Institute of Science and Technology Graduate University · JPBOKU University · ATIstituto di Scienze e Tecnologie Chimiche "Giulio Natta"Marche Polytechnic University · ITUniversity of Bristol · GBUniversity of Florida · USUniversity of Hong Kong · HKUniversity of Salzburg · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how organisms adapt to extreme environments is fundamental and can provide insightful case studies for both evolutionary biology and climate-change biology. Here, we take advantage of the vast diversity of lifestyles in ants to identify genomic signatures of adaptation to extreme habitats such as high altitude. We hypothesized two parallel patterns would occur in a genome adapting to an extreme habitat: 1) strong positive selection on genes related to adaptation and 2) a relaxation of previous purifying selection. We tested this hypothesis by sequencing the high-elevation specialist Tetramorium alpestre and four other phylogenetically related species. In support of our hypothesis, we recorded a strong shift of selective forces in T. alpestre, in particular a stronger magnitude of diversifying and relaxed selection when compared with all other ants. We further disentangled candidate molecular adaptations in both gene expression and protein-coding sequence that were identified by our genome-wide analyses. In particular, we demonstrate that T. alpestre has 1) a higher level of expression for stv and other heat-shock proteins in chill-shock tests and 2) enzymatic enhancement of Hex-T1, a rate-limiting regulatory enzyme that controls the entry of glucose into the glycolytic pathway. Together, our analyses highlight the adaptive molecular changes that support colonization of high-altitude environments.

Indexed as

Biological EvolutionGenome, InsectSelection, GeneticAcclimatizationAnimalsAntsCold ClimateHeat-Shock ProteinsHeat-Shock Proteinsgenomics, adaptation, molecular evolution, cold adaptationrelaxation

Identifiers

PMID32181804
PMCPMC7403626
OpenAlexW3011690454

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LicenceCC BY-NC
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Registered trials

None linked

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.