Evidence map›Paper›PMID 31682317›Full record

ArticleEvolution & development2020

Expression profiling of winged- and wingless-destined pea aphid embryos implicates insulin/insulin growth factor signaling in morph differences.

Mary E Grantham, Alexander W Shingleton, Emma Dudley, Jennifer A Brisson

Abstract read
In one paragraph

Article in Evolution & development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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  10. A novel geneeLife · 2023
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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

4 authors.

Mary E GranthamDepartment of Biology, University of Rochester, Rochester, New York.
Alexander W ShingletonDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois.
Emma DudleyDepartment of Biology, University of Rochester, Rochester, New York.
Jennifer A BrissonDepartment of Biology, University of Rochester, Rochester, New York.ORCID 0000-0001-7000-0709

Funding

Characterizing the molecular and developmental basis of environmental versus genetic trait variation in aphidsR01GM116867 · NIGMS · UNIVERSITY OF ROCHESTER · PI BRISSON, JENNIFER A · 2015 to 2019
$1.5M
NIGMS NIH HHS R01 GM116867
6 · The paper itself

Abstract

Developmental plasticity allows the matching of adult phenotypes to different environments. Although considerable effort has gone into understanding the evolution and ecology of plasticity, less is known about its developmental genetic basis. We focused on the pea aphid wing polyphenism, in which high- or low-density environments cause viviparous aphid mothers to produce winged or wingless offspring, respectively. Maternally provided ecdysone signals to embryos to be winged or wingless, but it is unknown how embryos respond to that signal. We used transcriptional profiling to investigate the gene expression state of winged-destined (WD) and wingless-destined (WLD) embryos at two developmental stages. We found that embryos differed in a small number of genes, and that gene sets were enriched for the insulin-signaling portion of the FoxO pathway. To look for a global signature of insulin signaling, we examined the size and stage of WD and WLD embryos but found no differences. These data suggest the hypothesis that FoxO signaling is important for morph development in a tissue-specific manner. We posit that maternally supplied ecdysone affects embryonic FoxO signaling, which ultimately plays a role in alternative morph development. Our study is one of an increasing number that implicate insulin signaling in the generation of alternative environmentally induced morphologies.

Indexed as

Signal TransductionAnimalsAphidsEmbryo, NonmammalianInsect ProteinsInsulinSomatomedinsWings, AnimalInsect ProteinsInsulinSomatomedinsgene expressionpea aphidphenotypic plasticitypolyphenismRNA-seq

Identifiers

PMID31682317
PMCPMC7196481

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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.