Mapping carcass and meat quality QTL on Sus Scrofa chromosome 2 in commercial finishing pigs

Quantitative trait loci (QTL) affecting carcass and meat quality located on SSC2 were identified using variance component methods. A large number of traits involved in meat and carcass quality was detected in a commercial crossbred population: 1855 pigs sired by 17 boars from a synthetic line, which where homozygous (A/A) for IGF2. Using combined linkage and linkage disequilibrium mapping (LDLA), several QTL significantly affecting loin muscle mass, ham weight and ham muscles (outer ham and knuckle ham) and meat quality traits, such as Minolta-L* and -b*, ultimate pH and Japanese colour score were detected. These results agreed well with previous QTL-studies involving SSC2. Since our study is carried out on crossbreds, different QTL may be segregating in the parental lines. To address this question, we compared models with a single QTL-variance component with models allowing for separate sire and dam QTL-variance components. The same QTL were identified using a single QTL variance component model compared to a model allowing for separate variances with minor differences with respect to QTL location. However, the variance component method made it possible to detect QTL segregating in the paternal line (e.g. HAMB), the maternal lines (e.g. Ham) or in both (e.g. pHu). Combining association and linkage information among haplotypes improved slightly the significance of the QTL compared to an analysis using linkage information only.     

Girdling Affects Ectomycorrhizal Fungal (EMF) Diversity and Reveals Functional Differences in EMF Community Composition in a Beech Forest

The relationships between plant carbon resources, soil carbon and nitrogen content, and ectomycorrhizal fungal (EMF) diversity in a monospecific, old-growth beech (Fagus sylvatica) forest were investigated by manipulating carbon flux by girdling. We hypothesized that disruption of the carbon supply would not affect diversity and EMF species numbers if EM fungi can be supplied by plant internal carbohydrate resources or would result in selective disappearance of EMF taxa because of differences in carbon demand of different fungi. Tree carbohydrate status, root demography, EMF colonization, and EMF taxon abundance were measured repeatedly during 1 year after girdling. Girdling did not affect root colonization but decreased EMF species richness of an estimated 79 to 90 taxa to about 40 taxa. Cenococcum geophilum, Lactarius blennius, and Tomentella lapida were dominant, colonizing about 70% of the root tips, and remained unaffected by girdling. Mainly cryptic EMF species disappeared. Therefore, the Shannon-Wiener index (H′) decreased but evenness was unaffected. H′ was positively correlated with glucose, fructose, and starch concentrations of fine roots and also with the ratio of dissolved organic carbon to dissolved organic nitrogen (DOC/DON), suggesting that both H′ and DOC/DON were governed by changes in belowground carbon allocation. Our results suggest that beech maintains numerous rare EMF species by recent photosynthate. These EM fungi may constitute biological insurance for adaptation to changing environmental conditions. The preservation of taxa previously not known to colonize beech may, thus, form an important reservoir for future forest development.In temperate and boreal forest ecosystems, most tree species form ectomycorrhizal fungal (EMF) associations. EM fungi ensheathe the root tip, forming characteristic mantlelike structures (1). The presence and lengths of hyphae emanating from the mantle are characteristic of different EMF species and establish different soil exploration types (2). It has been assumed that EMF communities are adapted specifically to mobilize sparse soil nutrient resources in boreal and temperate forests (11, 50). Current estimates indicate that about 80% of all nitrogen and phosphorus present in plants has been taken up via mycorrhizas (30, 41, 63).Unlike free-living soil microbes, EM fungi have direct access to reduced carbon from their host plants. More than 50 years ago, Melin and Nilsson (46) showed that ¹⁴C applied to leaves was recovered within one day in EM fungi, suggesting a strong dependence of fungal metabolism on host photosynthesis. Subsequent isotopic studies corroborated tight connections between current photosynthate and EM fungi (28, 42). EMF hyphae constitute the main path of plant-derived carbon into the soil (24, 29). Furthermore, EMF hyphae contribute substantially to soil respiration (25% from hyphae and 15% from roots) (27). As hyphal respiration decreases strongly in response to girdling of trees, a tight metabolic link between extramatrical mycelia and host photosynthetic activity must exist (5, 9, 32). In addition, fruiting body formation of EMF species was strongly dependent on host photosynthetic capacity (32, 40). In contrast, the significance of the current assimilate supply for EMF colonization of root tips and for community composition is not yet well understood. Since trees contain substantial stores of carbohydrates in the roots and stem (7), it may be expected that EM fungi can be maintained if this carbon resource is available. For example, defoliation experiments with conifers, which restricted but did not eliminate current photosynthate transfer to roots, showed no effects on root EMF colonization. Massive defoliation that negatively affected aboveground biomass production suppressed morphotypes with thick mantles compared to those with thin mantles, suggesting a shift to less-carbon-demanding EMF species (14, 40, 44, 54, 56). Earlier studies also reported decreased EMF colonization of root tips (21, 52).In a common garden experiment with young beech trees, strong shading over several years, which severely limited plant growth, suppressed EMF colonization and resulted in low EMF diversity (20). EMF community composition was affected strongly by shading and slightly by short-term girdling, suggesting that EMF taxa are sensitive to changes in plant internal carbohydrate resources (20). However, the overall EMF diversity was low, probably because the young trees were grown in nutrient-rich compost soil (20). The significance of photoassimilates for EMF abundance, diversity, and community composition, therefore, remains to be shown for adult forest trees, which usually have high EMF diversity and low nitrogen availability (10, 26, 53, 61).The aim of this work was to test the hypothesis that EMF abundance and diversity are independent of the current photoassimilate supply and can be maintained by internal resources. To investigate this concept, old-growth beech trees (Fagus sylvatica L.) were girdled to suppress carbon allocation to roots. Since disruption of the current assimilate flux affects the carbohydrate source strength, we hypothesized that changes in EMF taxon composition would occur if EMF species had different carbon demands. Tree carbohydrate status, root demography, EMF colonization, and EMF taxon abundance were measured repeatedly during 1 year after girdling. Since girdling also affects carbon release into and probably nutrient uptake from soil, the influence of possible feedback by changes in the ratio of dissolved organic carbon to dissolved organic nitrogen (DOC/DON) in the soil on EMF diversity was also assessed.     

The curvHDR method for gating flow cytometry samples

Background  

High-throughput flow cytometry experiments produce hundreds of large multivariate samples of cellular characteristics. These samples require specialized processing to obtain clinically meaningful measurements. A major component of this processing is a form of cell subsetting known as gating. Manual gating is time-consuming and subjective. Good automatic and semi-automatic gating algorithms are very beneficial to high-throughput flow cytometry.     

<Emphasis Type="Italic">α</Emphasis>-Amylase inhibitor-1 gene from <Emphasis Type="Italic">Phaseolus vulgaris</Emphasis> expressed in <Emphasis Type="Italic">Coffea arabica</Emphasis>plants inhibits α-amylases from the coffee berry borer pest

Background  

Coffee is an important crop and is crucial to the economy of many developing countries, generating around US70 billion per year. There are 115 species in the < i > Coffea < /i > genus, but only two, < i > C. arabica < /i > and < i > C. canephora < /i > , are commercially cultivated. Coffee plants are attacked by many pathogens and insect-pests, which affect not only the production of coffee but also its grain quality, reducing the commercial value of the product. The main insect-pest, the coffee berry borer ( < i > Hypotheneumus hampei < /i > ), is responsible for worldwide annual losses of around US70 billion per year. There are 115 species in the Coffea genus, but only two, C. arabica and C. canephora, are commercially cultivated. Coffee plants are attacked by many pathogens and insect-pests, which affect not only the production of coffee but also its grain quality, reducing the commercial value of the product. The main insect-pest, the coffee berry borer (Hypotheneumus hampei), is responsible for worldwide annual losses of around US500 million. The coffee berry borer exclusively damages the coffee berries, and it is mainly controlled by organochlorine insecticides that are both toxic and carcinogenic. Unfortunately, natural resistance in the genus Coffea to H. hampei has not been documented. To overcome these problems, biotechnological strategies can be used to introduce an α-amylase inhibitor gene (α-AI1), which confers resistance against the coffee berry borer insect-pest, into C. arabica plants.     

Mass spectrometric genomic data mining: Novel insights into bioenergetic pathways in Chlamydomonas reinhardtii

A new high-throughput computational strategy was established that improves genomic data mining from MS experiments. The MS/MS data were analyzed by the SEQUEST search algorithm and a combination of de novo amino acid sequencing in conjunction with an error-tolerant database search tool, operating on a 256 processor computer cluster. The error-tolerant search tool, previously established as GenomicPeptideFinder (GPF), enables detection of intron-split and/or alternatively spliced peptides from MS/MS data when deduced from genomic DNA. Isolated thylakoid membranes from the eukaryotic green alga Chlamydomonas reinhardtii were separated by 1-D SDS gel electrophoresis, protein bands were excised from the gel, digested in-gel with trypsin and analyzed by coupling nano-flow LC with MS/MS. The concerted action of SEQUEST and GPF allowed identification of 2622 distinct peptides. In total 448 peptides were identified by GPF analysis alone, including 98 intron-split peptides, resulting in the identification of novel proteins, improved annotation of gene models, and evidence of alternative splicing.     

Higher phylogeny of zygaenid moths (Insecta: Lepidoptera) inferred from nuclear and mitochondrial sequence data and the evolution of larval cuticular cavities for chemical defence

Zygaenid moths are capable of releasing hydrogen cyanide in their defense by enzymatic break-down of cyanoglucosides, but only larvae of chalcosiine and zygaenine moths store cyanogenic compounds in cuticular cavities and thus are able to discharge defense droplets, which effectively deter potential predators. A previously proposed phylogeny of Zygaenidae hypothesized a sister group relationship of chalcosiine and zygaenine moths because of their similar larval defense system. Not all chalcosiine taxa possess cuticular cavities, however, and a comparable defense mechanism has been reported in larvae of the zygaenoid family Heterogynidae. Considering sequence data of seven molecular loci, the present study estimates the posterior probability of phylogenetic hypotheses explaining the occurrence of larval cuticular cavities. The molecular data confirm the previous exclusion of Himantopteridae from Zygaenidae and suggest their close affinity to Somabrachyidae. The sequence data also corroborate the recently proposed exclusion of the Phaudinae from the Zygaenidae, because this subfamily is recovered in a reasonably well supported species cluster consisting of members of the families Lacturidae, Limacodidae, Himantopteridae, and Somabrachyidae. We consequently agree to raise Phaudinae to family rank. Within Zygaenidae, the subfamilies Callizygaeninae, Chalcosiinae, and Procridinae most likely constitute a monophyletic group, which is sister to the Zygaeninae. Our results imply that cuticular cavities were probably present in the larvae of the most recent common ancestor of Zygaenidae. Heterogynidae cannot be confirmed as sister taxon to this family, but appear at the very first split of the Zygaenoidea, although with poor support. The specific pattern of taxa in the molecular phylogeny showing larval cuticular cavities opens the possibility that these structures could have been already present in the most recent common ancestor of the Zygaenoidea.     

Non-T cell activation linker regulates ERK activation in Helicobacter pylori-infected epithelial cells

It is supposed that human pathogens, e.g. Helicobacter pylori abuse lipid raft domains on the host cell plasma membrane to infect the cell. Investigating DRM-associated molecules we identified the transmembrane adapter proteins (TRAPs), non-T cell activation linker (NTAL) and lymphocyte-specific protein tyrosine kinase (Lck)-interacting membrane protein (LIME) to be regulated by H. pylori in the human epithelial cell line HCA-7. Up to now, raft-associated TRAPs were exclusively described to mediate signal propagation downstream of antigen receptors. Our results posed the question whether these proteins adopt a role in H. pylori-infected epithelial cells too. Our studies revealed that H. pylori induces tyrosine phosphorylation of NTAL as well as LIME within 15 min of infection. We observed that activated NTAL and LIME bind to the Src homology 2 (SH2)-domain of growth factor receptor-bound protein 2 (Grb2) within 15 to 30 min of infection and associate with the c-Met receptor. Further, NTAL has a contributory role in regulating H. pylori-induced extracellular signal-regulated kinase (ERK) activation. After suppression of NTAL protein levels by siRNA, ERK phosphorylation was reduced to approximately 50%. Additionally, the knockdown of NTAL suppressed the phosphorylation of cytosolic phospholipase A₂ (cPLA₂). Activated cPLA₂ catalyzes the release of arachidonic acid (AA), whose metabolites are pivotal mediators in the H. pylori-induced inflammatory response. Thus, we propose that NTAL participates in the activation of the c-Met-Grb2-ERK-cPLA₂ signalling cascade at early stages of H. pylori infection.     

Establishing Data-Derived Adjustment Factors from Published Pharmaceutical Clinical Trial Data

In non-cancer risk assessment the goal traditionally has been to protect the majority of people by setting limits that account for interindividual variability in the human population. The Environmental Protection Agency (EPA) has assigned a default uncertainty factor (?UF) of 10 to account for interindividual variability in response to toxic agents in the general population. Previous studies have suggested that it is appropriate to equally divide this factor into sub-factors of 3.2 each for variability in human pharmacokinetics (PK) and pharmacodynamics (PD). As an extension of this model, one can envision using scientific data from the literature to modify the default sub-factors with compound-specific adjustment factors (AFs) and to create new and more scientifically based defaults. In this paper, data from published clinical trials on six pharmaceutical compounds were used to further illustrate how to calculate and interpret data-derived AFs. The clinical trial data were analyzed for content and the reported mean and standard deviation values for two key PK parameters, area under the curve of blood concentration by time (AUC) and peak plasma concentration (C_max), were evaluated. The mean PK values for each study were subsequently analyzed for variability within the population (unimodal distributions) and for the presence of potentially susceptible sub-populations (bimodal distributions). A method based on the proportion of the population covered was applied and data-derived AFs were calculated for these six compounds. Our results showed that, of the 15 possible data-derived AFs calculated using unimodal and bimodal distributions, only three exceeded a value of 3.2. This study further illustrates the value of calculating data-derived values when sufficient PK data are available.