Evidence map›Paper›PMID 26331997›Full record

ArticleMolecular ecology2015

Genomewide transcriptional signatures of migratory flight activity in a globally invasive insect pest.

Christopher M Jones, Alexie Papanicolaou, George K Mironidis, John Vontas, Yihua Yang, Ka S Lim, John G Oakeshott, Chris Bass, Jason W Chapman

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

47 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
  2. Article
  3. Insect Flight and Lipid Metabolism: Beyond the Classic Knowledge.Advances in experimental medicine and biology · 2026
    Review
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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

9 authors at 6 institutions in 4 countries.

Christopher M JonesAgroEcology, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK.
Alexie PapanicolaouHawkesbury Institute for the Environment, University of Western Sydney, Richmond, NSW, 2753, Australia.
George K MironidisInstitute of Molecular Biology & Biotechnology, Foundation for Research & Technology Hellas, 100 N. Plastira Street, GR-700 13, Heraklion Crete, Greece.
John VontasInstitute of Molecular Biology & Biotechnology, Foundation for Research & Technology Hellas, 100 N. Plastira Street, GR-700 13, Heraklion Crete, Greece.
Yihua YangCollege of Plant Protection, Nanjing Agricultural University, Nanjing, 210095, China.
Ka S LimAgroEcology, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK.
John G OakeshottCSIRO Ecosystems Sciences, Black Mountain, Clunies Ross Street, Canberra, ACT, 0200, Australia.
Chris BassBiological Chemistry and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK.
Jason W ChapmanAgroEcology, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK.
Rothamsted Research · GBFoundation for Research and Technology Hellas · GRCommonwealth Scientific and Industrial Research Organisation · AUNanjing Agricultural University · CNUniversity of Exeter · GBWestern Sydney University · AU

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Migration is a key life history strategy for many animals and requires a suite of behavioural, morphological and physiological adaptations which together form the 'migratory syndrome'. Genetic variation has been demonstrated for many traits that make up this syndrome, but the underlying genes involved remain elusive. Recent studies investigating migration-associated genes have focussed on sampling migratory and nonmigratory populations from different geographic locations but have seldom explored phenotypic variation in a migratory trait. Here, we use a novel combination of tethered flight and next-generation sequencing to determine transcriptomic differences associated with flight activity in a globally invasive moth pest, the cotton bollworm Helicoverpa armigera. By developing a state-of-the-art phenotyping platform, we show that field-collected H. armigera display continuous variation in flight performance with individuals capable of flying up to 40 km during a single night. Comparative transcriptomics of flight phenotypes drove a gene expression analysis to reveal a suite of expressed candidate genes which are clearly related to physiological adaptations required for long-distance flight. These include genes important to the mobilization of lipids as flight fuel, the development of flight muscle structure and the regulation of hormones that influence migratory physiology. We conclude that the ability to express this complex set of pathways underlines the remarkable flexibility of facultative insect migrants to respond to deteriorating conditions in the form of migratory flight and, more broadly, the results provide novel insights into the fundamental transcriptional changes required for migration in insects and other taxa.

Indexed as

Animal MigrationFlight, AnimalGenome, InsectTranscriptomeAdaptation, PhysiologicalAnimalsChinaGenetics, PopulationGreeceIntroduced SpeciesMothsPhenotypeSequence Analysis, RNAinsect migrationmigratory genomicstethered flighttranscriptomics

Identifiers

PMID26331997
PMCPMC5102652
OpenAlexW2161834465

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.