Actinobacteria and Cyanobacteria Diversity in Terrestrial Antarctic Microenvironments Evaluated by Culture-Dependent and Independent Methods

Bacterial diversity from McMurdo Dry Valleys in Antarctica, the coldest desert on earth, has become more easily assessed with the development of High Throughput Sequencing (HTS) techniques. However, some of the diversity remains inaccessible by the power of sequencing. In this study, we combine cultivation and HTS techniques to survey actinobacteria and cyanobacteria diversity along different soil and endolithic micro-environments of Victoria Valley in McMurdo Dry Valleys. Our results demonstrate that the Dry Valleys actinobacteria and cyanobacteria distribution is driven by environmental forces, in particular the effect of water availability and endolithic environments clearly conditioned the distribution of those communities. Data derived from HTS show that the percentage of cyanobacteria decreases from about 20% in the sample closest to the water source to negligible values on the last three samples of the transect with less water availability. Inversely, actinobacteria relative abundance increases from about 20% in wet soils to over 50% in the driest samples. Over 30% of the total HTS data set was composed of actinobacterial strains, mainly distributed by 5 families: Sporichthyaceae, Euzebyaceae, Patulibacteraceae, Nocardioidaceae, and Rubrobacteraceae. However, the 11 actinobacterial strains isolated in this study, belonged to Micrococcaceae and Dermacoccaceae families that were underrepresented in the HTS data set. A total of 10 cyanobacterial strains from the order Synechococcales were also isolated, distributed by 4 different genera (Nodosilinea, Leptolyngbya, Pectolyngbya, and Acaryochloris-like). In agreement with the cultivation results, Leptolyngbya was identified as dominant genus in the HTS data set. Acaryochloris-like cyanobacteria were found exclusively in the endolithic sample and represented 44% of the total 16S rRNA sequences, although despite our efforts we were not able to properly isolate any strain from this Acaryochloris-related group. The importance of combining cultivation and sequencing techniques is highlighted, as we have shown that culture-dependent methods employed in this study were able to retrieve actinobacteria and cyanobacteria taxa that were not detected in HTS data set, suggesting that the combination of both strategies can be usefull to recover both abundant and rare members of the communities

Actinobacteria and cyanobacteria diversity in terrestrial Antarctic microenvironments using culture-dependent and independent methods

Bacterial diversity from McMurdo Dry Valleys in Antarctica, the largest desert on earth, has become more easily assessed with the development of High Throughput Sequencing (HTS) techniques. However, some of the diversity remains unachievable by the power of sequencing. In this study, we combine cultivation and HTS techniques to survey Actinobacteria and Cyanobacteria diversity along different soil and endolithic micro-environments of Victoria Valley in McMurdo Dry Valleys. Our results have demonstrated that the Dry Valleys Actinobacteria and Cyanobacteria distribution is driven by environmental forces, in particular the effect of water availability and endolithic environments clearly conditioned the distribution of those communities. Data derived from HTS show that the percentage of Cyanobacteria decreases from about 20% in the sample closest to the water source to neglectable values on the last three samples of the transect with less water availability. Inversely, Actinobacteria abundance increases from the wet to the driest samples. Over 30% of the total HTS data set was composed of Actinobacterial strains, mainly distributed by 5 families: Sporichthyaceae, Euzebyaceae, Patulibacteraceae, Nocardioidaceae and Rubrobacteraceae. However, the 11 actinobacterial strains isolated in this study, belonged to Micrococcaceae and Dermacoccaceae families that were underrepresented in the HTS data set. A total of 10 cyanobacterial strains from the order Synechococcales were also isolated, distributed by 4 different genera (Nodosilinea, Leptolyngbya, Pectolyngbya, Acaryochloris). In agreement with the cultivation results, Lepyolyngbya was identified as dominant genera in the HTS data set. Acaryochloris genus were found exclusively in the endolithic sample and represented 44% of the total 16S rDNA sequences, although despite our efforts we were not able to properly isolate any strain from Acaryochloris genus. The importance of combining cultivation and sequencing techniques is highlighted, as we have shown that culture-dependent methods employed in this study were able to retrieve Actinobacteria and Cyanobacteria taxa that were not detected in HTS data set, suggesting that the combination of both strategies can be usefull to recover both abundant and rare members of the communities

Correlação da área do cordão umbilical com parâmetros antropométricos em gestações normais Correlation between umbilical cord cross-sectional area and normal anthropometric parameters in normal pregnancies

OBJETIVO: Este objetivou aferir a área de secção transversa do cordão umbilical (ASTCU) em gestações normais, com idade gestacional entre 20 e 40 semanas, para a construção de uma curva de valores normais para tal parâmetro. MATERIAIS E MÉTODOS: Foi realizado estudo transversal para determinar os valores de referência para a ASTCU em gestações normais (pacientes com datas precisas da última menstruação e exame ultra-sonográfico realizado antes da 20ª semana, sem qualquer doença conhecida). As medidas da ASTCU foram obtidas em plano adjacente à inserção do cordão umbilical no abdome. Os aparelhos de ultra-som utilizados foram da marca Synergy Multi Sync M500, Toshiba 140 e Toshiba Corevision, todos com transdutores transabdominais de 3,5 MHz. A análise estatística foi realizada pelo programa SPSS (Statistical Package for Social Sciences). RESULTADOS: Os dados obtidos foram considerados normais pelo teste de Kolmogorov-Smirnov e a curva de normalidade foi calculada por regressão linear. A análise de variância obtida pelo teste F (F = 356,27) mostrou que o modelo de regressão foi significativo ao nível de p < 0,01, mostrando que a curva estudou corretamente a população recrutada e que o intervalo de confiança (95%) continha o valor real da ASTCU. A equação de regressão encontrada para a ASTCU (y), de acordo com a idade gestacional (x), foi: y = -532,27 + 44,358x - 0,655x². CONCLUSÃO: Obtivemos uma curva de valores normais da ASTCU que mostra um crescimento progressivo de seus valores até a 32ª semana, seguida por um período de estabilização até a 34ª semana e uma queda de seus valores a partir da 35ª semana.<br>OBJECTIVE: To develop a nomogram for the umbilical cord cross-sectional area (UCCSA) in normal pregnancies in women between 20 to 40 weeks gestation. MATERIALS AND METHODS: A cross-sectional study was developed to determine reference ranges for the UCCSA during normal pregnancies (patients with known dates of last menstrual period, and a normal ultrasound examination before the 20th week of gestation). The measurements of the UCCSA were obtained using a plane adjacent to the insertion of the cord in the abdomen. A 3.5 MHz transabdominal transducer was used on all ultrasound equipment utilized (a Synergy Multi Sync M500, a Toshiba 140 and a Toshiba Corevision). The statistical analysis was performed using the SPSS (Statistical Package for Social Sciences) software. RESULTS: The Kolmogorov-Smirnov test showed a normal distribution of the data and the nomogram was constructed by linear regression. The analysis of variance (F test = 356.27) showed that our model was significant at a p < 0.01 level, and therefore represented adequately the studied population. The confidence interval (95%) contained the real value of the UCCSA. The equation constructed for the UCCSA (y) according to the gestational age (x) was: y = -532.27 + 44.358x - 0,655x². CONCLUSION: The nomogram developed for the UCCSA shows a progressive increase of the UCCSA up to the 32nd week, stabilization until the 34th week, and decrease after the 35th week of gestation