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1.
Curr Biol ; 29(23): 3996-4009.e4, 2019 12 02.
Article in English | MEDLINE | ID: mdl-31735676

ABSTRACT

To what extent can we predict how evolution occurs? Do genetic architectures and developmental processes canalize the evolution of similar outcomes in a predictable manner? Or do historical contingencies impose alternative pathways to answer the same challenge? Examples of Müllerian mimicry between distantly related butterfly species provide natural replicates of evolution, allowing us to test whether identical wing patterns followed parallel or novel trajectories. Here, we explore the role that the signaling ligand WntA plays in generating mimetic wing patterns in Heliconius butterflies, a group with extraordinary mimicry-related wing pattern diversity. The radiation is relatively young, and numerous cases of wing pattern mimicry have evolved within the last 2.5-4.5 Ma. WntA is an important target of natural selection and is one of four major effect loci that underlie much of the pattern variation in the group. We used CRISPR/Cas9 targeted mutagenesis to generate WntA-deficient wings in 12 species and a further 10 intraspecific variants, including three co-mimetic pairs. In all tested butterflies, WntA knockouts affect pattern broadly and cause a shift among every possible scale cell type. Interestingly, the co-mimics lacking WntA were very different, suggesting that the gene networks that pattern a wing have diverged considerably among different lineages. Thus, although natural selection channeled phenotypic convergence, divergent developmental contexts between the two major Heliconius lineages opened different developmental routes to evolve resemblance. Consequently, even under very deterministic evolutionary scenarios, our results underscore a surprising unpredictability in the developmental paths underlying convergence in a recent radiation.


Subject(s)
Biological Evolution , Biological Mimicry , Butterflies/growth & development , Pigmentation , Selection, Genetic , Wings, Animal/physiology , Animals , Phenotype , Wings, Animal/growth & development
2.
J Clin Pathol ; 71(5): 402-411, 2018 May.
Article in English | MEDLINE | ID: mdl-28924059

ABSTRACT

AIMS: Prostate cancer (PrCa) is the most frequently diagnosed non-cutaneous cancer in men. Without clear pathological indicators of disease trajectory at diagnosis, management of PrCa is challenging, given its wide-ranging manifestation from indolent to highly aggressive disease. This study examines the role in PrCa of the Pygopus (PYGO)2 chromatin effector protein as a risk stratification marker in PrCa. METHODS: RNA expression was performed in PrCa cell lines using Northern and RT-PCR analyses. Protein levels were assessed using immunoblot and immunofluorescence. Immunohistochemistry was performed on tissue microarrays constructed from radical prostatectomies with 5-year patient follow-up data including Gleason score tumour staging, margin and lymph node involvement and prostate serum antigen (PSA) levels. Biochemical recurrence (BR) was defined as a postoperative PSA level of >0.2 nL. Univariate and multivariate analyses were performed using SAS and Kaplan-Meier curves using graphPad (Prism). RESULTS: In vitro depletion of PYGO2 by RNAi in both androgen receptor positive and negative PrCa cell lines attenuated growth and reduced Ki67 and 47S rRNA expression, while PYGO2 protein was localised to the nuclei of tumours as determined by immunohistochemistry. High expression levels of PYGO2 in tumours (n=156) were correlated with BR identified as PSA progression, after 7-year follow-up independent of other traditional risk factors. Most importantly, high PYGO2 levels in intermediate grade tumours suggested increased risk of recurrence over those with negative or weak expression. CONCLUSION: Our data suggest that elevated PYGO2 expression in primary prostate adenocarcinoma is a potential risk factor for BR.


Subject(s)
Adenocarcinoma/metabolism , Adenocarcinoma/surgery , Biomarkers, Tumor/metabolism , Intracellular Signaling Peptides and Proteins/metabolism , Kallikreins/blood , Prostate-Specific Antigen/blood , Prostatectomy , Prostatic Neoplasms/metabolism , Prostatic Neoplasms/surgery , Adenocarcinoma/genetics , Adenocarcinoma/pathology , Biomarkers, Tumor/genetics , Cell Line, Tumor , Cell Proliferation , Disease Progression , Disease-Free Survival , Humans , Immunohistochemistry , Intracellular Signaling Peptides and Proteins/genetics , Kaplan-Meier Estimate , Male , Multivariate Analysis , Neoplasm Grading , Neoplasm Staging , Predictive Value of Tests , Proportional Hazards Models , Prostatic Neoplasms/genetics , Prostatic Neoplasms/pathology , RNA Interference , Risk Factors , Time Factors , Tissue Array Analysis , Transfection , Treatment Outcome , Up-Regulation
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