Viral ecogenomics across the Porifera

BackgroundViruses directly affect the most important biological processes in the ocean via their regulation of prokaryotic and eukaryotic populations. Marine sponges form stable symbiotic partnerships with a wide diversity of microorganisms and this high symbiont complexity makes them an ideal model for studying viral ecology. Here, we used morphological and molecular approaches to illuminate the diversity and function of viruses inhabiting nine sponge species from the Great Barrier Reef and seven from the Red Sea.ResultsViromic sequencing revealed host-specific and site-specific patterns in the viral assemblages, with all sponge species dominated by the bacteriophage order Caudovirales but also containing variable representation from the nucleocytoplasmic large DNA virus families Mimiviridae, Marseilleviridae, Phycodnaviridae, Ascoviridae, Iridoviridae, Asfarviridae and Poxviridae. Whilst core viral functions related to replication, infection and structure were largely consistent across the sponge viromes, functional profiles varied significantly between species and sites largely due to differential representation of putative auxiliary metabolic genes (AMGs) and accessory genes, including those associated with herbicide resistance, heavy metal resistance and nylon degradation. Furthermore, putative AMGs varied with the composition and abundance of the sponge-associated microbiome. For instance, genes associated with antimicrobial activity were enriched in low microbial abundance sponges, genes associated with nitrogen metabolism were enriched in high microbial abundance sponges and genes related to cellulose biosynthesis were enriched in species that host photosynthetic symbionts.ConclusionsOur results highlight the diverse functional roles that viruses can play in marine sponges and are consistent with our current understanding of sponge ecology. Differential representation of putative viral AMGs and accessory genes across sponge species illustrate the diverse suite of beneficial roles viruses can play in the functional ecology of these complex reef holobionts

Transtheoretical Model-based (TTM) Interventions to Improve Physical Activities in Elderly Men

ABSTRACT: Introduction & Objective: Understanding and influencing the determinants of physical activity is an important public health challenge. This study examines the application of key constructs of the transtheoretical model to physical activity behaviors for aged people. Materials & Methods: This study is a field trial with census sampling. Sixty healthy adult men at Kahrizak nursing home in 1386 completed a questionnaire including demographics and self-reported levels of physical activity, constructed from the Transtheoretical Model (TTM), before and after two months of intervention. The interventional program included tailored counseling and focus group. The data were then analyzed with T test, X2, pair T test and Wilcoxon, using SPSS software. Results: Statistical analysis showed a significant difference for the effect of health education program on increasing stage of change, self-efficacy, decisional balance and physical activity behavior in elderly people (p<0.0001). Conclusion: Educational physical activity interventions can result in increased physical activity, thus, health education program based on TTM has had positive effect on promotion physical activity behavior. It can be recommended that health education be used on educational models

Mycoflora assessment in drinking tap water (Sari, Iran)

Background and Objective: Fungi are widely distributed in nature and they are usually present in attomospher but other sources such as water play an important role in their ecology. This study was done to evaluate mycoflora assessment in drinking tap water in Sari, North of Iran. The tap water collected form Sari water distribution system for fungi. Materials and Methods: In this descriptive study, a volume of 100 ml of tap drinking water samples (n=60) were collected in sterile bottles. All water samples passed through sterile 0.45 micrometer filters. The filters were placed directly on Malt extract agar and incubated at 27°C for 3-7 days. Routine mycological techniques were applied to identify the grown fungi. Results: Out of 468 grown fungal colonies, eight different fungal genera were identified. The total mean cfu per 100 ml for the positive samples were 8.4. Aspergillus (37.4%) and Penicillium (27.3%) were the most common isolated fungi. Rhizopus (0.6%) had the lowest frequency. Among Aspergillus species, A. flavus had the highest frequency. Conclusion: Our result showed that various fungi were present in the tap drinking water. We propose fungi should be considered as part of the microbiological analysis parameters in drinking tap water