Seasonal variations in PCR-DGGE fingerprinted viruses infecting phytoplankton in large and deep peri-alpine lakes

Soil Viral Communities Vary Temporally and along a Land Use Transect as Revealed by Virus-Like Particle Counting and a Modified Community Fingerprinting Approach (fRAPD)

Environmental surveys on soil viruses are still rare and mostly anecdotal, i. e., they mostly report on viruses at one location or for only a few sampling dates. Detailed time-series analysis with multiple samples can reveal the spatio-temporal dynamics of viral communities and provide important input as to how viruses interact with their potential hosts and the environment. Such surveys, however, require fast, easy-to-apply and reliable methods. In the present study we surveyed monthly across 13 months the abundance of virus-like particles (VLP) and the structure of the viral communities in soils along a land use transect (i.e., forest, pasture, and cropland). We evaluated 32 procedures to extract VLP from soil using different buffers and mechanical methods. The most efficient extraction was achieved with 1× saline magnesium buffer in combination with 20 min vortexing. For community structure analysis we developed an optimized fingerprinting approach (fluorescent RAPD-PCR; fRAPD) by combining RAPD-PCR with fluorescently labeled primers in order to size the obtained fragments on a capillary sequencing machine. With the concomitantly collected data of soil specific factors and weather data, we were able to find correlations of viral abundance and community structure with environmental variables and sampling site. More specifically, we found that soil specific factors such as pH and total nitrogen content played a significant role in shaping both soil viral abundance and community structure. The fRAPD analysis revealed high temporal changes and clustered the viral communities according to sampling sites. In particular we observed that temperature and rainfall shaped soil viral communities in non-forest sites. In summary our findings suggest that sampling site was a key factor for shaping the abundance and community structure of soil viruses, and when site vegetation was reduced, temperature and rainfall were also important factors.

Analysis of microbial diversity in Shenqu with different fermentation times by PCR-DGGE

Shenqu is a fermented product that is widely used in traditional Chinese medicine (TCM) to treat indigestion; however, the microbial strains in the fermentation process are still unknown. The aim of this study was to investigate microbial diversity in Shenqu using different fermentation time periods. DGGE (polymerase chain reaction-denaturing gradient gel electrophoresis) profiles indicated that a strain of Pediococcus acidilactici (band 9) is the predominant bacteria during fermentation and that the predominant fungi were uncultured Rhizopus, Aspergillus oryzae, and Rhizopus oryzae. In addition, pathogenic bacteria, such as Enterobacter cloacae, Klebsiella oxytoca, Erwinia billingiae, and Pantoea vagan were detected in Shenqu. DGGE analysis showed that bacterial and fungal diversity declined over the course of fermentation. This determination of the predominant bacterial and fungal strains responsible for fermentation may contribute to further Shenqu research, such as optimization of the fermentation process.

Structure and diversity of ssDNA Microviridae viruses in two peri-alpine lakes (Annecy and Bourget, France)

Microviridae is a subset of single-stranded DNA (ssDNA) viruses infecting bacteria. This group of phages has been previously observed to be very abundant (representing >90% of the total known viral metagenomic sequences) in Lake Bourget. However, this observation was made only during one period (in summer) and from a single sample collected at a single depth (near surface). This result suggests the importance of these viruses, poorly examined thus far, especially in fresh waters. In this study, performed on the two largest natural lakes in France (e.g. Lakes Annecy and Bourget), Microviridae structure was determined each month throughout the year (2011) using PCR-DGGE, with primers that target the major-capsid-protein-encoding gene VP1; cloning/sequencing was used to investigate their diversity. Our results confirm that Microviridae are diverse in peri-alpine lakes and are mainly represented by gokushoviruses. We also found for the first time ssDNA viruses belonging to Alpavirinae, another subfamily within Microviridae recently proposed by Krupovic and Forterre (2011), generally prophages infecting members of the Phylum Bacteroidetes. Our data also support highly variable community composition and dynamics of individual components whose patterns were different between lakes, suggesting distinct host communities and/or abiotic influences between the two ecosystems. We point out that most of the major observed ssDNA Microviridae viruses display boom-bust patterns (with a sharp increase/decline) in their dynamics, with high relative abundances, suggesting brutal control of hosts and rapid regulation of the host community structure.

Using signature genes as tools to assess environmental viral ecology and diversity

Viruses (including bacteriophages) are the most abundant biological entities on the planet. As such, they are thought to have a major impact on all aspects of microbial community structure and function. Despite this critical role in ecosystem processes, the study of virus/phage diversity has lagged far behind parallel studies of the bacterial and eukaryotic kingdoms, largely due to the absence of any universal phylogenetic marker. Here we review the development and use of signature genes to investigate viral diversity, as a viable strategy for data sets of specific virus groups. Genes that have been used include those encoding structural proteins, such as portal protein, major capsid protein, and tail sheath protein, auxiliary metabolism genes, such as psbA, psbB,and phoH, and several polymerase genes. These marker genes have been used in combination with PCR-based fingerprinting and/or sequencing strategies to investigate spatial, temporal, and seasonal variations and diversity in a wide range of habitats.