Genetic divergence of Trichogramma aurosum Sugonjaev and Sorokina (Hymenoptera: Trichogrammatidae) individuals based on ITS2 and AFLP analysis

Taxonomy and phylogeny of members of the genus Trichogramma is often critical because of the fact that proper species discrimination can only be achieved by male morphology. Cryptic species, particularly when only females are available (in case of parthenogenetic species or strains), are common in this genus with consequences for practical purposes like biocontrol, unless males can be obtained after antibiotic treatment. The internally transcribed spacer 2 region of the ribosomal DNA was used to assess the identity of Trichogramma aurosum Sugonjaev and Sorokina individuals collected on eggs of Nematus tibialis Newman (Hymenoptera: Tenthredinidae) from different locations in Middle Europe. Amplified products were identical in length (ca. 450bp), sequences showed a high percent similarity (>96%), and no cryptic species could be detected in the samples. In contrast, a comparison with T. aurosum populations from the USA showed values between 86% and 90%. Additional studies are needed to clarify the relationship between US and European populations. Furthermore, amplified fragment length polymorphism (AFLP) analysis was conducted with T. aurosum wasps collected at 25 different European locations. One hundred and twenty‐three AFLP fragments could be detected using three different AFLP primer combinations of which 98% were polymorphic in more than one individual. An analysis of genetic distances based on the obtained AFLP markers indicated the existence of some genetic variability between the European T. aurosum individuals and allowed a grouping according to their geographic origin. This study represents the first successful application of the AFLP marker technique to such tiny insects as Trichogramma species.     

Combinatorial Cellulose-Bound Peptide Libraries: Screening Tools for the Identification of Peptides That Bind Ligands with Predefined Specificity

We describe the synthesis of structurally different types of combinatorial peptide libraries on continuous cellulose membrane supports. These libraries consisting of tens of millions of different peptides were screened for their ability to bind given ligands such as the monoclonal antibody Tab2, transforming growth factor-β (TGFβ), nickel(II) (Ni²⁺), and technetium-99m (^99mTc). We were thus able to detect the linear transforming growth factor-α (TFGα) epitope SHFND recognized by Tab2. Other peptides that also bound Tab2 were identified within the same experiment. A first screening step for identification of peptide mixtures that bind to other ligands of biological interest is shown for peptide mixtures XB₁XB₂XX (B = defined amino acid, X = randomized position) that bind to Ni²⁺ and ^99mTc. A combinatorial linear all L- or all D-library XXB₁B₂XX and two libraries conformationally restrained either via a disulfide bridge between a C-and an N-terminal cysteine [cyclo(C¹-C⁸)-C¹XXB₁B₂XXC⁸] or an amide bond between the alpha amino group of the N-terminus and the gamma carboxyl group of a C-terminal glutamic acid [cyclo(X¹-E⁷)-X¹XB₁B₂XXE⁷] were screened with transforming growth factor-β, resulting in structurally different peptides mixtures that bound to this ligand. The results obtained indicate that chemically different types of cellulose-bound combinatorial libraries can be prepared easily, allowing the rapid and inexpensive screening of millions of peptides for selection of single molecules with predefined specificity that bind to given ligands such as proteins, metals, nucleic acids, and other molecules of biological interest.     

Quantitative comparisons ofin situ microbial biodiversity by signature biomarker analysis

Microscopic examinations have convinced microbial ecologists that the culturable microbes recovered from environmental samples represent a tiny proportion of the extant microbiota. Methods for recovery and enzymatic amplification of nucleic acids from environmental samples have shown that a huge diversity existsin situ, far exceeding any expectations which were based on direct microscopy. It is now theoretically possible to extract, amplify and sequence all the nucleic acids from a community and thereby gain a comprehensive measure of the diversity as well as some insights into the phylogeny of the various elements within this community. Unfortunately, this analysis becomes economically prohibitive if applied to the multitude of niches in a single biome let alone to a diverse set of environments. It is also difficult to utilize PCR amplification on nucleic acids from some biomes because of coextracting enzymatic inhibitors. Signature biomarker analysis which potentially combines gene probe and lipid analysis on the same sample, can serve as a complement to massive environmental genome analysis in providing quantitative comparisons between microniches in the biome under study. This analysis can also give indications of the magnitude of differences in biodiversity in the blome as well as provide insight into the phenotypic activities of each community in a rapid and cost-effective manner. Applications of signature lipid biomarker analysis to define quantitatively the microbial viable biomass of portions of an Eastern USA deciduous forest, are presented.     

Climatic and landscape correlates for potential West Nile virus mosquito vectors in the Seattle region.

Climatic and landscape patterns have been associated with both relative mosquito abundance and transmission of mosquito-borne illnesses in many parts of the world, especially warm and tropical climes. To determine if temperature, precipitation, or degree of urbanization were similarly important in the number of potential mosquito vectors for West Nile virus in the moderately temperate climate of western Washington, mosquitoes were collected using CDC carbon-dioxide/light traps set throughout the Seattle region during the summers of 2003 and 2004. The type and abundance of recovered species were compared to ecological correlates. Temperature and mosquito abundance were positively correlated, while precipitation was not strongly correlated with numbers of mosquitoes. Potential WNV mosquito vectors were most abundant in urban and suburban sites, including sites near communal roosts of American crows (Corvus brachyrhynchos). Exurban sites had the greatest vector species diversity, and Culex pipiens was the most abundant species throughout the region.     

Familial Clustering of Abdominal Visceral Fat and Total Fat Mass: The Québec Family Study

The evidence for common familial factors underlying total fat mass (estimated from underwater weighing) and abdominal visceral fat (assessed from CT scan) was examined in families participating in phase 2 of the Québec Family Study (QFS) using a bivariate familial correlation model. Previous QFS investigations suggest that both genetic (major and polygenic) and familial environmental factors influence each phenotype, accounting for between 55% to 71% of the phenotypic variance in fat mass, and between 55% to 72% for abdominal visceral fat The current study suggests that the bivariate familial effect ranges from 29% to 50%. This pattern suggests that there may be common familial determinants for abdominal visceral fat and total fat mass, as well as additional familial factors which are specific to each. The relatively high spouse cross-trait correlations usually suggest that a large percent of the bivariate familial effect may be environmental in origin. However, if mating is not random, then the spouse resemblance may reflect either genetic or environmental causes, depending on the source [i.e., through similar genes or cohabitation (environmental) effects]. Finally, there are significant sex differences in the magnitude of the familial cross-trait correlations involving parents, but not offspring, suggesting complex generation (i.e., age) and sex effects. For example, genes may turn on or off as a function of age and sex, and/or there may be an accumulation over time of effects due to the environment which may vary by sex. Whether the common familial factors are genetic (major and/or polygenic), environmental, or some combination of both, and whether the familial expression depends on sex and/or age warrants further investigation using more complex models.