RESUMO
The coconut leaf beetle, Brontispa longissima, is a destructive pest of palm plants. Although its ecological and biological characteristics are well understood, its genetic information remains largely unknown. To advance our understanding of its molecular ba-sis of biology and ecology, we sequenced and analyzed its whole transcriptome by using high-throughput Illumina paired-end sequencing technology. Approximately 8.08 Gb of clean reads were generated in a single run, which were assembled by using Trinity into 41,652 unigenes with an average length of 932 bp. By sequence similarity searches for known proteins, 23,077 (55.4%) unigenes were annotated by BLASTx searches against the NCBI non-redundant protein database. Of the unigenes assembled, 18,153 and 13,733 were assigned to Gene Ontology and Clusters of Orthologous Groups of proteins, respectively. In addition, 10,415 unigenes were mapped onto 247 pathways using the Kyoto Encyclopedia of Genes and Genomes Pathway database. These transcriptomic resources will facilitate gene identification and elucidate the molecular mechanisms of biological and ecological aspects under-lying this palm pest, in order to design a new control strategy.
Assuntos
Besouros/genética , Sequenciamento de Nucleotídeos em Larga Escala , Transcriptoma/genética , Animais , Besouros/patogenicidade , Perfilação da Expressão Gênica , Regulação da Expressão Gênica , Repetições de Microssatélites/genética , Anotação de Sequência Molecular , Controle Biológico de Vetores , Phoeniceae/parasitologia , Folhas de Planta/parasitologiaRESUMO
B-type natriuretic peptide (BNP) is widely used in the treatment of early-stage heart failure and coronary heart disease. In this study, the association of plasma BNP concentration with myocardial infarct (MI) size in patients with acute myocardial infarction (AMI) was investigated. Eighty patients with AMI were enrolled in the MI group and 30 healthy volunteers were selected as the control group. Magnetic resonance imaging of the heart and plasma BNP concentration detection were carried out, and then the relationship between plasma BNP concentration and MI size was analyzed in the two groups. Results showed that the plasma BNP concentration was positively related to MI size (r = 0.645, P < 0.0005), whereas it was negatively correlated to the left ventriculus ejection fraction (r = 0.297, P = 0.047). Multiple regression analysis showed that MI size was the only parameter that was independently associated with BNP (r(2) = 0.32, F = 7.712, P = 0.007). Moreover, when the BNP level reached 150 pg/mL, it had 85.1% sensitivity and 70.4% specificity of determining MI sizes exceeding 10%. The plasma concentration of BNP is highly related to MI size in patients with AMI, and can be clinically used to evaluate MI size.