Modeling Management Operations in Agricultural Production Simulators

Rosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a Technical Paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 5 (2003): M-J. Cros, F. Garcia, R. Martin-Clouaire, and J-P. Rellier. Modeling Management Operations in Agricultural Production Simulators. Vol. V. May 2003

Cfp1 integrates both CpG content and gene activity for accurate H3K4me3 deposition in embryonic stem cells

Trimethylation of histone H3 Lys 4 (H3K4me3) is a mark of active and poised promoters. The Set1 complex is responsible for most somatic H3K4me3 and contains the conserved subunit CxxC finger protein 1 (Cfp1), which binds to unmethylated CpGs and links H3K4me3 with CpG islands (CGIs). Here we report that Cfp1 plays unanticipated roles in organizing genome-wide H3K4me3 in embryonic stem cells. Cfp1 deficiency caused two contrasting phenotypes: drastic loss of H3K4me3 at expressed CGI-associated genes, with minimal consequences for transcription, and creation of “ectopic” H3K4me3 peaks at numerous regulatory regions. DNA binding by Cfp1 was dispensable for targeting H3K4me3 to active genes but was required to prevent ectopic H3K4me3 peaks. The presence of ectopic peaks at enhancers often coincided with increased expression of nearby genes. This suggests that CpG targeting prevents “leakage” of H3K4me3 to inappropriate chromatin compartments. Our results demonstrate that Cfp1 is a specificity factor that integrates multiple signals, including promoter CpG content and gene activity, to regulate genome-wide patterns of H3K4me3

MELODIE: A whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops

In regions of intensive pig and dairy farming, nutrient losses to the environment at farm level are a source of concern for water and air quality. Dynamic models are useful tools to evaluate the effects of production strategies on nutrient flows and losses to the environment. This paper presents the development of a new whole-farm model upscaling dynamic models developed at the field or animal scale. The model, called MELODIE, is based on an original structure with interacting biotechnical and decisional modules. Indeed, it is supported by an ontology of production systems and the associated programming platform DIESE. The biotechnical module simulates the nutrient flows in the different animal, soil and crops and manure sub-models. The decision module relies on an annual optimization of cropping and spreading allocation plans, and on the flexible execution of activity plans for each simulated year. These plans are examined every day by an operational management sub-model and their application is context dependent. As a result, MELODIE dynamically simulates the flows of carbon, nitrogen, phosphorus, copper, zinc and water within the whole farm over the short and long-term considering both the farming system and its adaptation to climatic conditions. Therefore, it is possible to study both the spatial and temporal heterogeneity of the environmental risks, and to test changes of practices and innovative scenarios. This is illustrated with one example of simulation plan on dairy farms to interpret the Nitrogen farm-gate budget indicator. It shows that this indicator is able to reflect small differences in Nitrogen losses between different systems, but it can only be interpreted using a mobile average, not on a yearly basis. This example illustrates how MELODIE could be used to study the dynamic behaviour of the system and the dynamic of nutrient flows. Finally, MELODIE can also be used for comprehensive multi-criterion assessments, and it also constitutes a generic and evolving framework for virtual experimentation on animal farming systems. (Résumé d'auteur

Methyl-CpG binding proteins: specialized transcriptional repressors or structural components of chromatin?

DNA methylation is an epigenetic modification that is implicated in transcriptional silencing. It is becoming increasingly clear that both correct levels and proper interpretation of DNA methylation are important for normal development and function of many organisms, including humans. In this review we focus on recent advances in understanding of how proteins that bind to methylated DNA recognize their binding sites and translate the DNA methylation signal into functional states of chromatin. Although the function of methyl-CpG binding proteins in transcriptional repression has been attributed to their cooperation with corepressor complexes, additional roles for these proteins in chromatin compaction and spatial organization of nuclear domains have also been proposed. Finally, we provide a brief overview of how methyl-CpG proteins contribute to human disease processes such as Rett Syndrome and cancer

Modeling Flexible Plans for Agricultural Production Management

Analyzing in what circumstance and why an agricultural production system performs acceptably well or fails requires models of management practices and work processes. A farmer’s management task relies on planned and reactive behaviors that enable him to organize his work in function of known and exploitable regularities, and to adapt it to uncontrollable contingencies as they occur. Consequently, a farm production manager exhibits a decision-making behavior that seems to rely heavily on a kind of flexible plan. This paper aims at presenting a generic model of such plans that are similar to programs. Once represented in this framework a production management plan can be simulated in various exogenous conditions, which enables the study of the underlying production management behavior

Genomic insights into cancer-associated aberrant CpG island hypermethylation

Carcinogenesis is thought to occur through a combination of mutational and epimutational events that disrupt key pathways regulating cellular growth and division. The DNA methylomes of cancer cells can exhibit two striking differences from normal cells; a global reduction of DNA methylation levels and the aberrant hypermethylation of some sequences, particularly CpG islands (CGIs). This aberrant hypermethylation is often invoked as a mechanism causing the transcriptional inactivation of tumour suppressor genes that directly drives the carcinogenic process. Here, we review our current understanding of this phenomenon, focusing on how global analysis of cancer methylomes indicates that most affected CGI genes are already silenced prior to aberrant hypermethylation during cancer development. We also discuss how genome-scale analyses of both normal and cancer cells have refined our understanding of the elusive mechanism(s) that may underpin aberrant CGI hypermethylation