Moscas-das-frutas (Diptera: Tephritidae) em um pomar de goiabeira, no semiárido brasileiro

As moscas-das-frutas (Diptera: Tephritidae) são pragas-chave na cultura da goiabeira Psidium guajava L., com predominância de diferentes espécies de acordo com a região produtora no Brasil. Os objetivos do presente trabalho foram conhecer a diversidade e analisar parâmetros faunísticos das moscas-das-frutas obtidas em um pomar de goiabeira, no município de Cruzeta, Rio Grande do Norte, situado no semiárido brasileiro. As moscas-das-frutas foram coletadas semanalmente, com auxílio de armadilhas McPhail, tendo como atrativo proteína hidrolisada a 5% v/v. Foram registradas cinco espécies no pomar estudado: Ceratitis capitata (Wied.), Anastrepha zenildae Zucchi, Anastrepha sororcula Zucchi, Anastrepha obliqua (Macquart) e Anastrepha dissimilis Stone. Ceratitis capitata foi a espécie mais frequente, constante e dominante, considerada como uma praga invasiva, potencial em pomares de goiabeira no semiárido brasileiro

Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer

We report a comprehensive analysis of 412 muscle-invasive bladder cancers characterized by multiple TCGA analytical platforms. Fifty-eight genes were significantly mutated, and the overall mutational load was associated with APOBEC-signature mutagenesis. Clustering by mutation signature identified a high-mutation subset with 75% 5-year survival. mRNA expression clustering refined prior clustering analyses and identified a poor-survival “neuronal” subtype in which the majority of tumors lacked small cell or neuroendocrine histology. Clustering by mRNA, long non-coding RNA (lncRNA), and miRNA expression converged to identify subsets with differential epithelial-mesenchymal transition status, carcinoma in situ scores, histologic features, and survival. Our analyses identified 5 expression subtypes that may stratify response to different treatments. A multiplatform analysis of 412 muscle-invasive bladder cancer patients provides insights into mutational profiles with prognostic value and establishes a framework associating distinct tumor subtypes with clinical options