Evidence map›Paper›PMID 39920597›Full record

ArticleBMC genomics2025

Genomic patterns of strain-specific genetic structure, linkage, and selection across fall armyworm populations.

Ashley E Tessnow, Rodney N Nagoshi, Robert L Meagher, Todd M Gilligan, Ben M Sadd, Yves Carrière, Holly N Davis, Shelby J Fleischer, Kelly Richers, John C Palumbo and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

13 authors.

Ashley E TessnowDepartment of Entomology, Texas A&M University, College Station, TX, United States of America. ashley.tessnow@agnet.tamu.edu.
Rodney N NagoshiCenter for Medical, Agricultural and Veterinary Entomology, Department of Agriculture-Agricultural Research Service, Gainesville, FL, United States of America.
Robert L MeagherCenter for Medical, Agricultural and Veterinary Entomology, Department of Agriculture-Agricultural Research Service, Gainesville, FL, United States of America.
Todd M GilliganDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO, United States of America.
Ben M SaddSchool of Biological Sciences, Illinois State University, Normal, IL, United States of America.
Yves CarrièreDepartment of Entomology, University of Arizona, Tucson, AZ, United States of America.
Holly N DavisTexas A&M AgriLife Research and Extension, Weslaco, TX, United States of America.
Shelby J Fleischer *Department of Entomology, The Pennsylvania State University, University Park, PA, United States of America.
Kelly RichersThe Wedge Entomological Research Foundation, Bakersfield, CA, United States of America.
John C PalumboDepartment of Entomology, University of Arizona, Yuma, Arizona, United States of America.
Patrick PorterTexas A&M AgriLife Research and Extension, Lubbock, TX, United States of America.
Jose Carlos Verle RodriguesInsect Management and Molecular Diagnostics Lab, Department of Agriculture - Animal and Plant Health Inspection Service, Edinburg Texas, United States of America.
Gregory A SwordDepartment of Entomology, Texas A&M University, College Station, TX, United States of America.

Funding

Animal and Plant Health Inspection Service AP20PPQS&T00C161National Institute of Food and Agriculture 2021-67013-33566
6 · The paper itself

Abstract

backgroundMolecular genetic approaches have become vital to understanding the evolutionary processes that act on insect pest populations. From mapping the development of resistance to monitoring and predicting pest movement, genomic tools can inform and enhance pest management programs. Here, we used whole genome sequencing population genomics to unravel novel patterns of population structure, linkage, and selection across the genome of a notorious agricultural pest, the fall armyworm.

resultsOur data strongly support the existence of two genetically distinct strains of fall armyworm in North America, which have previously been referred to as the C-strain and the R-strain. Although these strains have diverged genetically, we find that differentiation is not uniform across the genome. The Z-chromosome appears to drive divergence between strains with high levels of linkage observed across this chromosome. We also show that a region of the Z-chromosome containing a circadian clock gene implicated in allochronic reproductive isolation is under strain-specific selection. Our data indicates that strains differ in their geographic distributions and exhibit distinct patterns of geographic sub-structuring indicative of unique dispersal patterns. We provide the first evidence for nuclear genomic differentiation between the two major overwintering populations of fall armyworm in the US. Finally, our data reveal population-specific patterns of selection on genomic regions containing putative insecticide resistance alleles, which could relate to their biogeography.

conclusionsOur results support the existence of the fall armyworm as a pest dyad in the US, with genetically-distinct strains differing in their population structure, dispersal patterns, and genomic signatures of selection on regions likely involved reproductive isolation and insecticide resistance. These differences should be considered when devising and implementing management strategies.

Indexed as

Genetic LinkageGenome, InsectGenomicsSelection, GeneticAnimalsGenetics, PopulationPopulation genomicsSpodoptera frugiperdaStrain divergenceZ-chromosome

Identifiers

PMID39920597
PMCPMC11803928

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Registered trials

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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.