Transcriptome analysis of grain development in hexaploid wheat

Background: Hexaploid wheat is one of the most important cereal crops for human nutrition. Molecular understanding of the biology of the developing grain will assist the improvement of yield and quality traits for different environments. High quality transcriptomics is a powerful method to increase this understanding. Results: The transcriptome of developing caryopses from hexaploid wheat ( Triticum aestivum, cv. Hereward) was determined using Affymetrix wheat GeneChip (R) oligonucleotide arrays which have probes for 55,052 transcripts. Of these, 14,550 showed significant differential regulation in the period between 6 and 42 days after anthesis ( daa). Large changes in transcript abundance were observed which were categorised into distinct phases of differentiation ( 6 - 10 daa), grain fill ( 12 - 21 daa) and desiccation/maturation ( 28 - 42 daa) and were associated with specific tissues and processes. A similar experiment on developing caryopses grown with dry and/or hot environmental treatments was also analysed, using the profiles established in the first experiment to show that most environmental treatment effects on transcription were due to acceleration of development, but that a few transcripts were specifically affected. Transcript abundance profiles in both experiments for nine selected known and putative wheat transcription factors were independently confirmed by real time RT-PCR. These expression profiles confirm or extend our knowledge of the roles of the known transcription factors and suggest roles for the unknown ones. Conclusion: This transcriptome data will provide a valuable resource for molecular studies on wheat grain. It has been demonstrated how it can be used to distinguish general developmental shifts from specific effects of treatments on gene expression and to diagnose the probable tissue specificity and role of transcription factors.

Comparisons between the in vitro and in vivo efficacies of potential fungal antagonists of Armillaria mellea

Seventeen fungal isolates were tested in vitro as potential antagonists of two isolates of the root rot pathogen, Armillaria mellea. Some of the isolates were also added on mushroom composts with living mycelia to the roots of Armillaria-inoculated potted strawberry plants in the glasshouse to find out if they had the same degree of efficacy against the disease. Dactylium dendroides isolate SP was the most effective in reducing mycelial growth of A. mellea isolate 1 (Am1), followed by Trichoderma harzianum isolate Th2 and T. viride isolate Tv4. Th2, Th22, Tv3 and SP grew extensively over Am1 colonies, disintegrating the rhizomorphs. Isolate Tham1 of T hamatum was the most effective in reducing mycelial growth of A. mellea isolate 2 (Am2), followed by Tv3. Th12, Th22, Tv1, Tv3 and SP inhibited the initiation and growth of rhizomorphs of Am2. Regeneration tests showed that both Am1 and Am2 attacked by Trichoderma isolates and SP were no longer viable. Th23 and SP were almost as effective in vivo as in vitro. But isolate Co of Chaetomium olivaceum, which was ineffective in vitro, was found effective in vivo. Conversely, Th2, which exhibited good antagonistic activity in vitro, performed poorly in vivo. These results show that the in vitro and in vivo efficacies of potential antagonists may not necessarily be closely correlated. Hence, there is a danger that potentially effective isolates may be discarded if decisions are made only on the basis of preliminary screening tests carried out under laboratory conditions.

Refinement of the Clinical Scenario Evaluation Framework for Assessment of Competing Development Strategies with an Application to Multiple Sclerosis

When competing strategies for development programs, clinical trial designs, or data analysis methods exist, the alternatives need to be evaluated in a systematic way to facilitate informed decision making. Here we describe a refinement of the recently proposed clinical scenario evaluation framework for the assessment of competing strategies. The refinement is achieved by subdividing key elements previously proposed into new categories, distinguishing between quantities that can be estimated from preexisting data and those that cannot and between aspects under the control of the decision maker from those that are determined by external constraints. The refined framework is illustrated by an application to a design project for an adaptive seamless design for a clinical trial in progressive multiple sclerosis.

The DigiBog model of peatland development 1: rationale, conceptual model, and hydrological basis

Using a literature review, we argue that new models of peatland development are needed. Many existing models do not account for potentially important ecohydrological feedbacks, and/or ignore spatial structure and heterogeneity. Existing models, including those that simulate a near total loss of the northern peatland carbon store under a warming climate, may produce misleading results because they rely upon oversimplified representations of ecological and hydrological processes. In this, the first of a pair of papers, we present the conceptual framework for a model of peatland development, DigiBog, which considers peatlands as complex adaptive systems. DigiBog accounts for the interactions between the processes which govern litter production and peat decay, peat soil hydraulic properties, and peatland water-table behaviour, in a novel and genuinely ecohydrological manner. DigiBog consists of a number of interacting submodels, each representing a different aspect of peatland ecohydrology. Here we present in detail the mathematical and computational basis, as well as the implementation and testing, of the hydrological submodel. Remaining submodels are described and analysed in the accompanying paper. Tests of the hydrological submodel against analytical solutions for simple aquifers were highly successful: the greatest deviation between DigiBog and the analytical solutions was 2·83%. We also applied the hydrological submodel to irregularly shaped aquifers with heterogeneous hydraulic properties—situations for which no analytical solutions exist—and found the model's outputs to be plausible.