A keystone predator controls bacterial diversity in the pitcher-plant (Sarracenia purpurea) microecosystem

The community of organisms inhabiting the water-filled leaves of the carnivorous pitcher-plant Sarracenia purpurea includes arthropods, protozoa and bacteria, and serves as a model system for studies of food web dynamics. Despite the wealth of data collected by ecologists and zoologists on this food web, very little is known about the bacterial assemblage in this microecosystem. We used terminal restriction fragment length polymorphism (T-RFLP) analysis to quantify bacterial diversity within the pitchers as a function of pitcher size, pH of the pitcher fluid and the presence of the keystone predator in this food web, larvae of the pitcher-plant mosquito Wyeomyia smithii. Results were analysed at two spatial scales: within a single bog and across three isolated bogs. Pitchers were sterile before they opened and composition of the bacterial assemblage was more variable between different bogs than within bogs. Measures of bacterial richness and diversity were greater in the presence of W. smithii and increased with increasing pitcher size. Our results suggest that fundamental ecological concepts derived from macroscopic food webs can also be used to predict the bacterial assemblages in pitcher plants.     

Comparative bioacoustics: a roadmap for quantifying and comparing animal sounds across diverse taxa

Animals produce a wide array of sounds with highly variable acoustic structures. It is possible to understand the causes and consequences of this variation across taxa with phylogenetic comparative analyses. Acoustic and evolutionary analyses are rapidly increasing in sophistication such that choosing appropriate acoustic and evolutionary approaches is increasingly difficult. However, the correct choice of analysis can have profound effects on output and evolutionary inferences. Here, we identify and address some of the challenges for this growing field by providing a roadmap for quantifying and comparing sound in a phylogenetic context for researchers with a broad range of scientific backgrounds. Sound, as a continuous, multidimensional trait can be particularly challenging to measure because it can be hard to identify variables that can be compared across taxa and it is also no small feat to process and analyse the resulting high-dimensional acoustic data using approaches that are appropriate for subsequent evolutionary analysis. Additionally, terminological inconsistencies and the role of learning in the development of acoustic traits need to be considered. Phylogenetic comparative analyses also have their own sets of caveats to consider. We provide a set of recommendations for delimiting acoustic signals into discrete, comparable acoustic units. We also present a three-stage workflow for extracting relevant acoustic data, including options for multivariate analyses and dimensionality reduction that is compatible with phylogenetic comparative analysis. We then summarize available phylogenetic comparative approaches and how they have been used in comparative bioacoustics, and address the limitations of comparative analyses with behavioural data. Lastly, we recommend how to apply these methods to acoustic data across a range of study systems. In this way, we provide an integrated framework to aid in quantitative analysis of cross-taxa variation in animal sounds for comparative phylogenetic analysis. In addition, we advocate the standardization of acoustic terminology across disciplines and taxa, adoption of automated methods for acoustic feature extraction, and establishment of strong data archival practices for acoustic recordings and data analyses. Combining such practices with our proposed workflow will greatly advance the reproducibility, biological interpretation, and longevity of comparative bioacoustic studies.     

Candida albicans protein kinase CK2 governs virulence during oropharyngeal candidiasis

To identify Candida albicans genes whose proteins are necessary for host cell interactions and virulence, a collection of C. albicans insertion mutants was screened for strains with reduced capacity to damage endothelial cells in vitro. This screen identified CKA2. CKA2 and its homologue CKA1 encode the catalytic subunits of the protein kinase CK2. cka2delta/cka2delta strains of C. albicans were constructed and found to have significantly reduced capacity to damage both endothelial cells and an oral epithelial cell line in vitro. Although these strains invaded endothelial cells similarly to the wild-type strain, they were defective in oral epithelial cell invasion. They were also hypersusceptible to hydrogen peroxide, but not to high salt or to cell wall damaging agents. A cka1delta/cka1delta mutant caused normal damage to both endothelial cells and oral epithelial cells, and it was not hypersusceptible to hydrogen peroxide. However, overexpression of CKA1 in a cka2delta/cka2delta strain restored wild-type phenotype. Although the cka2delta/cka2delta mutant had normal virulence in the mouse model of haematogenously disseminated candidiasis, it had significantly attenuated virulence in the mouse model of oropharyngeal candidiasis. Therefore, Cka2p governs the interactions of C. albicans with endothelial and oral epithelial cells in vitro and virulence during oropharyngeal candidiasis.     

Flushuffle and Fluresort: new algorithms to identify reassorted strains of the influenza virus by mass spectrometry

ABSTRACT: BACKGROUND: Influenza is one of the oldest and deadliest infectious diseases known to man. Reassorted strains of the virus pose the greatest risk to both human and animal health and have been associated with all pandemics of the past century, with the possible exception of the 1918 pandemic, resulting in tens of millions of deaths. We have developed and tested new computer algorithms, FluShuffle and FluResort, which enable reassorted viruses to be identified by the most rapid and direct means possible. These algorithms enable reassorted influenza, and other, viruses to be rapidly identified to allow prevention strategies and treatments to be more efficiently implemented. RESULTS: The FluShuffle and FluResort algorithms were tested with both experimental and simulated mass spectra of whole virus digests. Flu Shuffle considers different combinations of viral protein identities that match the mass spectral data using a Gibbs sampling algorithm employing a mixed protein Markov chain Monte Carlo (MCMC) method. Flu Resort utilizes those identities to calculate the weighted distance of each across two or more different phylogenetic trees constructed through viral protein sequence alignments. Each weighted mean distance value is normalized by conversion to a Z-score to establish a reassorted strain. CONCLUSIONS: The new Flu Shuffle and Flu Resort algorithms can correctly identify the origins of influenza viral proteins and the number of reassortment events required to produce the strains from the high resolution mass spectral data of whole virus proteolytic digestions. This has been demonstrated in the case of constructed vaccine strains as well as common human seasonal strains of the virus. The algorithms significantly improve the capability of the proteotyping approach to identify reassorted viruses that pose the greatest pandemic risk.     

The effect of high-load vs. high-repetition training on endurance performance

The purpose of this study was to compare the effects of high-load (H-load) periodized resistance training and high-repetition (H-rep) reverse step loading periodized resistance training on endurance performance. Twenty-six female university rowers (age = 20 +/- 1 year) were randomly assigned to H-load (5 novice, 8 varsity) or H-rep (7 novice, 6 varsity) groups. Subjects were pre- and posttested using a 2,000-m rowing ergometer test. Outcome variables included VO2 peak, time to test completion, total power, average power per stroke, total number of strokes, stroke rate, and body mass. Subjects trained for 8 weeks using identical exercises. Varsity rowers who performed H-load training demonstrated greater improvement compared with those who performed H-rep training. Novice rowers who performed H-rep training demonstrated greater improvement compared with those who performed H-load training. High-load periodized training appears to be more effective for athletes with advanced training status, and H-rep reverse step loading periodized training is more effective for those who are relatively untrained.     

Spectroscopic Characterization of Two Soluble Transducers from the Archaeon Halobacterium salinarum

In the present study, structural aspects of the two soluble transducers, HtrX and HtrXI, from the archaeon H. salinarum have been examined using UV circular dichroism and steady-state fluorescence spectroscopies. Circular dichroism (CD) data indicate that both HtrX and HtrXI exhibit salt-dependent protein folding. Under low-ionic-strength conditions (0.2 M NaCl or KCl) the CD spectra of HtrXI is similar to that of the Gdn-HCl- or urea-denatured forms and is indicative of random coil structure. In contrast, the CD spectrum of HtrX under low-ionic-strength conditions contains roughly 85% -helical character, indicating a significant degree of folding. Addition of NaCl or KCl to solutions of HtrX or HtrXI results in CD features consistent with predominately -helical character (>95%) for both proteins. In addition, the transition points (i.e., ionic strengths at which the protein converts from random coil to -helical character) are quite distinct and dependent upon the type of salt present (i.e., either NaCl or KCl). Accessibility of tryptophan residues to the solvent was also examined for both HtrX and HtrXI in both folded and unfolded states using Kl quenching. The Stern–Volmer constants obtained suggest that the tryptophans (Trp35 in HtrX and both Trp47 and Trp74 in HtrXI) are partially exposed to the solvent, indicating that they are located near the surface of the protein in all three cases. Furthermore, fluorescence quenching with the single Trp mutants Trp74AIa and Trp47AIa of HtrXI indicates different environments for these two residues.     

Characterization of Six Bacteriophages of Serratia liquefaciens CP6 Isolated from the Sugar Beet Phytosphere

Six phages (ΦCP6-1 to ΦCP6-6) that are commonly found in the phytosphere of sugar beet (Beta vulgaris var. Amethyst) were investigated, and their relative impacts on their host (Serratia liquefaciens CP6) were compared. There were fundamental differences between the two most abundant predators of CP6 (ΦCP6-1 and ΦCP6-4). Like ΦCP6-2 and ΦCP6-5, ΦCP6-1 belonged to the family Siphoviridae, while ΦCP6-4 exhibited the morphology of the family Podoviridae. The other phages were members of the family Myoviridae. DNA-DNA cross-hybridization revealed that ΦCP6-1 and ΦCP6-4 had little common DNA, although all of the other phages exhibited some genetic similarity. Like ΦCP6-2, ΦCP6-3, and ΦCP6-5, ΦCP6-1 was capable of forming a lysogenic association with its host, while ΦCP6-4 and ΦCP6-6 appeared to be entirely virulent. Single-step growth curve experiments revealed that ΦCP6-4 had a much shorter latent period and a smaller burst size than ΦCP6-1. Also, ΦCP6-1 could transduce a number of host chromosomal markers with transfer frequencies of 2.9 × 10⁻⁹ to 3.9 × 10⁻⁷, whereas ΦCP6-4 could not transduce S. liquefaciens CP6 genes. When viewed in the context of the strikingly different temporal niches of these phages, our data provide an insight into how bacteriophage interactions with their hosts might reflect the natural ecology of bacteriophages. Our data also illustrate how the potential for gene transfer changes over time in an environment that supports several different phages.     

The effect of varying nitrogen supplies on the content of amino acids in wheat grain

Summary The effect of nitrogen applications on the amino acid composition of wheat grain was studied in a pot experiment, in which spring wheat was supplied with increasing amounts of ammonium sulphate. The ensuing yield curve extended from very small N-applications to applications resulting in a toxic effect on the yield.The contents of dry matter, total N, 15 amino acids and ammonia were determined in samples taken from 9 representative treatments. The relationship between the yield of dry matter and the concentration in the dry matte rof the individual amino acids showed the same characteristic variations as those previously found for total N and for a number of plant nutrients.In accordance with the results cited in the literature, increasing applications of N caused an increase of glumatic acid and proline on a nitrogen basis, whereas lysine and arginine decreased.