Relationship between invertebrate fauna and bromeliad size

Several bromeliads species store water and organic substrates, allowing the establishment of phytotelmata and associated fauna on their leaves. In this study, we sampled 70 individuals of Vriesea sp. (Carrière) (Bromeliaceae), in rupestrian fields in the Serra de Ouro Branco-MG, Brazil. The relationships between invertebrate species richness and abundance and size of bromeliads were tested using multiple regression. We found 19 species associated with bromeliads, mainly Diptera larvae. The abundance of the phytotelmate fauna increased principally in relation to the volume of water in the bromeliad reservoir. Phytotelmata richness was affected principally by diameter of the reservoir. There was a significant relationship between the abundance and richness of invertebrates associated with leaves with diameter and height of the plant. Invertebrate richness was better explained by abundance of individuals. These results suggest that the increase of richness was attended by higher numbers of microhabitats and more space for colonization of bigger bromeliads. Additionally, there was more chance of sampling different species in locales with greater abundance of individuals.

Muitas espécies de bromélias são capazes de armazenar água e detritos, permitindo o estabelecimento de comunidades associadas aos seus tanques de água e às suas folhas. Neste trabalho, foram amostrados 70 indivíduos de Vriesea sp. (Carrière) (Bromeliaceae), em uma área de campo rupestre na Serra de Ouro Branco-MG, Brasil. Foi testada a relação entre a riqueza e a abundância das comunidades de invertebrados associados e o tamanho da bromélia. Em todos os casos foram utilizadas análises de regressão linear múltipla. Foram amostradas 19 espécies, principalmente larvas de Diptera associadas à bromélia. A abundância da fauna fitotelmata aumentou principalmente com o volume de água no reservatório da bromélia. Já a riqueza de fitotelmata foi relacionada principalmente com o diâmetro da planta. No entanto, a abundância e riqueza dos invertebrados associados às folhas apresentaram relação significativa com a altura e o diâmetro da planta. A riqueza de invertebrados foi mais bem explicada pela abundância de indivíduos do que pelo tamanho da bromélia. Estes resultados sugerem que o aumento da riqueza pode ter sido resultante do maior número de microhabitats e de espaço para colonização em bromélia de maior tamanho. Além disso, houve maior chance de amostrar espécies diferentes em locais com maior abundância de indivíduos.

Genotyping hepatitis C virus from hemodialysis patients in Central Brazil by line probe assay and sequence analysis

The present study examined the distribution of hepatitis C virus (HCV) genotypes and subtypes in a hemodialysis population in Goiás State, Central Brazil, and evaluated the efficiency of two genotyping methods: line probe assay (LiPA) based on the 5' noncoding region and nucleotide sequencing of the nonstructural 5B (NS5B) region of the genome. A total of 1095 sera were tested for HCV RNA by RT-nested PCR of the 5' noncoding region. The LiPA assay was able to genotype all 131 HCV RNA-positive samples. Genotypes 1 (92.4 percent) and 3 (7.6 percent) were found. Subtype 1a (65.7 percent) was the most prevalent, followed by subtypes 1b (26.7 percent) and 3a (7.6 percent). Direct nucleotide sequencing of 340 bp from the NS5B region was performed in 106 samples. The phylogenetic tree showed that 98 sequences (92.4 percent) were classified as genotype 1, subtypes 1a (72.6 percent) and 1b (19.8 percent), and 8 sequences (7.6 percent) as subtype 3a. The two genotyping methods gave concordant results within HCV genotypes and subtypes in 100 and 96.2 percent of cases, respectively. Only four samples presented discrepant results, with LiPA not distinguishing subtypes 1a and 1b. Therefore, HCV genotype 1 (subtype 1a) is predominant in hemodialysis patients in Central Brazil. By using sequence analysis of the NS5B region as a reference standard method for HCV genotyping, we found that LiPA was efficient at the genotype level, although some discrepant results were observed at the subtype level (sensitivity of 96.1 percent for subtype 1a and 95.2 percent for subtype 1b). Thus, analysis of the NS5B region permitted better discrimination between HCV subtypes, as required in epidemiological investigations.