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Gene expression

Pea aphid miRNAs and plasticity

Legeai F, Rizk G, Walsh T, et al. · BMC genomics · 2010

Open access · cc by · source: Europe PMC

Pea aphids encode dozens of miRNAs whose expression tracks phenotypic plasticity.

Study at a glance

Design
Computational / modelling — Homology, deep sequencing (~3M reads), and RT-PCR validation of pea aphid miRNAs
N
43 putative miRNAs (33 RT-PCR validated); sequencing resource study without a sample N
Population
Acyrthosiphon pisum (pea aphid) genome and small-RNA libraries
Outcome
Predicted and validated pea aphid microRNA repertoire

Structured fields used in claim comparison tables when every cited study has a complete layer.

Key findings

43 putative miRNAs (44 precursors); 33 validated by RT-PCR; size peak at 22 nt.

Methodology

Combined homology, deep sequencing (~3M reads), and genome scans to predict miRNAs, then RT-PCR validated many and compared morphs.

Limitations

Does not fully prove each miRNA’s causal target network in every morph.

How this study connects

Role on claims

Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.

  • RT-PCR can confirm predicted non-coding RNAs as well as protein-coding genes. Pea-aphid work combined homology, ~3 million deep-sequencing reads and genome scans to predict 43 miRNAs (44 precursors); 33 were validated by RT-PCR, with a size peak at 22 nt — still short of proving each miRNA's causal target network in every morph.

    Evidence for the claim as stated.

  • qPCR is not one experiment. Cod heat-shock QPCR and aphid miRNA RT-PCR quantify candidate transcripts after a screen; chicken defensin RT-PCR confirms that predicted genes are expressed; bee work quantifies 16S community size. Treating those as interchangeable 'expression papers' hides whether the template is host mRNA, a miRNA, or bacterial DNA.

    Evidence for the claim as stated.

Open questions

Tensions this paper is part of

From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.

Related papers in this topic

Same topic cluster — not a recommendation engine.