Evidence map›Paper›PMID 37644003›Full record

ArticleNature communications2023

Global determinants of insect mitochondrial genetic diversity.

Connor M French, Laura D Bertola, Ana C Carnaval, Evan P Economo, Jamie M Kass, David J Lohman, Katharine A Marske, Rudolf Meier, Isaac Overcast, Andrew J Rominger and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Phylogeography and Population Structure of the Invasive Land SnailInternational journal of molecular sciences · 2026
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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

12 authors.

Connor M FrenchBiology Department, City College of New York, New York, NY, USA. cfrench@gradcenter.cuny.edu.ORCID http://orcid.org/0000-0002-5255-3884
Laura D BertolaBiology Department, City College of New York, New York, NY, USA.ORCID http://orcid.org/0000-0002-3445-0355
Ana C CarnavalBiology Department, City College of New York, New York, NY, USA.
Evan P EconomoBiodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa, Japan.
Jamie M KassBiodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa, Japan.ORCID http://orcid.org/0000-0002-9432-895X
David J LohmanBiology Department, City College of New York, New York, NY, USA.
Katharine A MarskeSchool of Biological Sciences, University of Oklahoma, Norman, OK, USA.ORCID http://orcid.org/0000-0002-9837-9367
Rudolf MeierInstitut für Biologie, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-4452-2885
Isaac OvercastBiology Ph.D. Program, Graduate Center, City University of New York, New York, NY, USA.ORCID http://orcid.org/0000-0001-8614-6892
Andrew J RomingerSchool of Biology and Ecology, University of Maine, Orono, ME, USA.ORCID http://orcid.org/0000-0003-3755-4480
Phillip P A StaniczenkoDepartment of Biology, Brooklyn College, Brooklyn, NY, USA.ORCID http://orcid.org/0000-0001-5091-8416
Michael J HickersonBiology Department, City College of New York, New York, NY, USA.ORCID http://orcid.org/0000-0002-5802-406X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding global patterns of genetic diversity is essential for describing, monitoring, and preserving life on Earth. To date, efforts to map macrogenetic patterns have been restricted to vertebrates, which comprise only a small fraction of Earth's biodiversity. Here, we construct a global map of predicted insect mitochondrial genetic diversity from cytochrome c oxidase subunit 1 sequences, derived from open data. We calculate the mitochondrial genetic diversity mean and genetic diversity evenness of insect assemblages across the globe, identify their environmental correlates, and make predictions of mitochondrial genetic diversity levels in unsampled areas based on environmental data. Using a large single-locus genetic dataset of over 2 million globally distributed and georeferenced mtDNA sequences, we find that mitochondrial genetic diversity evenness follows a quadratic latitudinal gradient peaking in the subtropics. Both mitochondrial genetic diversity mean and evenness positively correlate with seasonally hot temperatures, as well as climate stability since the last glacial maximum. Our models explain 27.9% and 24.0% of the observed variation in mitochondrial genetic diversity mean and evenness in insects, respectively, making an important step towards understanding global biodiversity patterns in the most diverse animal taxon.

Indexed as

InsectaMitochondriaAnimalsBiodiversityDNA, MitochondrialGenetic VariationDNA, Mitochondrial

Identifiers

PMID37644003
PMCPMC10465557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.