Identification of superior reference genes for data normalisation of expression studies via quantitative PCR in hybrid roses (Rosa hybrida)

Background: Gene expression studies are a prerequisite for understanding the biological function of genes. Because of its high sensitivity and easy use, quantitative PCR (qPCR) has become the gold standard for gene expression quantification. To normalise qPCR measurements between samples, the most prominent technique is the use of stably expressed endogenous control genes, the so called reference genes. However, recent studies show there is no universal reference gene for all biological questions. Roses are important ornamental plants for which there has been no evaluation of useful reference genes for gene expression studies. Results: We used three different algorithms (BestKeeper, geNorm and NormFinder) to validate the expression stability of nine candidate reference genes in different rose tissues from three different genotypes of Rosa hybrida and in leaves treated with various stress factors. The candidate genes comprised the classical "housekeeping genes" (Actin, EF-1α, GAPDH, Tubulin and Ubiquitin), and genes showing stable expression in studies in Arabidopsis (PP2A, SAND, TIP and UBC). The programs identified no single gene that showed stable expression under all of the conditions tested, and the individual rankings of the genes differed between the algorithms. Nevertheless the new candidate genes, specifically, PP2A and UBC, were ranked higher as compared to the other traditional reference genes. In general, Tubulin showed the most variable expression and should be avoided as a reference gene. Conclusions: Reference genes evaluated as suitable in experiments with Arabidopsis thaliana were stably expressed in roses under various experimental conditions. In most cases, these genes outperformed conventional reference genes, such as EF1-α and Tubulin. We identified PP2A, SAND and UBC as suitable reference genes, which in different combinations may be used for normalisation in expression analyses via qPCR for different rose tissues and stress treatments. However, the vast genetic variation found within the genus Rosa, including differences in ploidy levels, might also influence expression stability of reference genes, so that future research should also consider different genotypes and ploidy levels.

Hydrothermal-vent alvinellid polychaete dispersal in the eastern Pacific .1. Influence of vent site distribution, bottom currents, and biological patterns

Deep-sea hydrothermal-vent habitats are typically linear, discontinuous, and short-lived. Some of the vent fauna such as the endemic polychaete family Alvinellidae are thought to lack a planktotrophic larval stage and therefore not to broadcast-release their offspring. The genetic evidence points to exchanges on a scale that seems to contradict this type of reproductive pattern. However, the rift valley may topographically rectify the bottom currents, thereby facilitating the dispersal of propagules between active vent sites separated in some cases by 10s of kilometers or more along the ridge axis. A propagule flux model based on a matrix of intersite distances, long-term current-meter data, and information on the biology and ecology of Alvinellidae was developed to test this hypothesis. Calculations of the number of migrants exchanged between two populations per generation (N-m) allowed comparisons with estimates obtained from genetic studies. N, displays a logarithmic decrease with increasing dispersal duration and reaches the critical value of 1 after 8 d when the propagule Aux model was run in standard conditions. At most, propagule traveling time cannot reasonably exceed 15-30 d, according to the model, whereas reported distances between sites would require longer lasting dispersal abilities. Two nonexclusive explanations are proposed. First, some aspects of the biology of Alvinellidae have been overlooked and long-distance dispersal does occur. Second, such dispersal never occurs in Alvinellidae, but the spatial-temporal dynamics of vent sites over geological timescales allows short-range dispersal processes to maintain gene flow.

Comparison of five popular normalization methods using a spike-in proteomics data set

Mass spectrometry (MS)-based proteomics has seen significant technical advances during the past two decades and mass spectrometry has become a central tool in many biosciences. Despite the popularity of MS-based methods, the handling of the systematic non-biological variation in the data remains a common problem. This biasing variation can result from several sources ranging from sample handling to differences caused by the instrumentation. Normalization is the procedure which aims to account for this biasing variation and make samples comparable. Many normalization methods commonly used in proteomics have been adapted from the DNA-microarray world. Studies comparing normalization methods with proteomics data sets using some variability measures exist. However, a more thorough comparison looking at the quantitative and qualitative differences of the performance of the different normalization methods and at their ability in preserving the true differential expression signal of proteins, is lacking. In this thesis, several popular and widely used normalization methods (the Linear regression normalization, Local regression normalization, Variance stabilizing normalization, Quantile-normalization, Median central tendency normalization and also variants of some of the forementioned methods), representing different strategies in normalization are being compared and evaluated with a benchmark spike-in proteomics data set. The normalization methods are evaluated in several ways. The performance of the normalization methods is evaluated qualitatively and quantitatively on a global scale and in pairwise comparisons of sample groups. In addition, it is investigated, whether performing the normalization globally on the whole data or pairwise for the comparison pairs examined, affects the performance of the normalization method in normalizing the data and preserving the true differential expression signal. In this thesis, both major and minor differences in the performance of the different normalization methods were found. Also, the way in which the normalization was performed (global normalization of the whole data or pairwise normalization of the comparison pair) affected the performance of some of the methods in pairwise comparisons. Differences among variants of the same methods were also observed.

Quantification of key biological processes determining the dynamics and the assessment of the anchovy population in the Bay of Biscay: growth, reproduction, demography and natural mortality.

333 p.

Taxonomic redescription and biological notes on Diaugia angusta (Diptera,Tachinidae): parasitoid of the palm boring weevils Metamasius ensirostris and M. hemipterus (Coleoptera, Dryophthoridae)

Diaugia angusta Perty, 1833 is a Neotropical species of Tachinidae (Diptera) reported here as a parasitoid of Metamasius ensirostris (Germar, 1824) and M hemipterus (Linnaeus, 1758) (Coleoptera: Dryophthoridae) in Brazil. Several species of Dryophthoridae and Curculionidae cause damage to bromeliad and palm species, and most are regarded as pests. In the present study, the male and female of D. angusta are morphologically characterized and illustrated to provide a means for the identification of this parasitoid. Data obtained from preliminary field research show that natural parasitism of Metamasius pupae by D. angusta varies by year but can reach nearly 30%. A network of parasitoid-host interactions among tachinid parasitoids and coleopteran hosts reported as bromeliad and palm pests (Dryophthoridae and Curculionidae) in the Americas indicates that the species of the tribe Dexiini sensu lam (including D. angusta) might be promising as biological control agents of these pests.

Identifying cancer-related microRNAs based on gene expression data

International audience

Biological activity of Pyrrole-Imidazole polyamides in vivo

This thesis focuses on biological activity of pyrrole-imidazole polyamides in vivo. The work presented includes experiments underlining sequence selectivity of these compounds in living cells and potential methods to improve it. A large fraction of this thesis is devoted to activity of Py-Im in murine models of cancer. We investigated the pharmacokinetics and biodistribution of two compounds – targeted to 5'-WGGWCW-3' and 5'-WTWCGW-3' sequences – and characterized their activity by measuring their effects on tumor growth, gene expression in vivo and in tissue culture, and their effects on physiology of tumors. The initial theoretical studies suggested that a large fraction of genomic sites are bound by Py-Im polyamides non-specifically and experimental data shows that the programmed binding sequence is not a sole determinant of the patterns of gene regulation. Despite the likely presence of non-specific effects of Py-Im polyamides in living cells, in vivo administration of Py-Im polyamides resulted in tolerable host toxicity and anti-tumor activity. Py-Im polyamide targeted to Estrogen Receptor Response Element showed downregulation of ER-driven gene expression in tumor cells, while the compound targeted to hypoxia response element reduced vascularization of tumors and their growth rate, induced apoptosis of cells in hypoxic areas and reduced expression of proangiogenic and prometastatic factors. Further studies, showed that polyamides distributed to many of the tested tissues and their FITC-conjugates showed nuclear uptake. The gene expression effects were also present in murine tissues, such as liver and kidneys, indicating a potential for use for Py-Im polyamides in non-cancerous diseases.

Modelling global pyrogeography using data derived from satellite imagery

Doutoramento em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia - UL

Biological activity of astilbin from Dimorphandra mollis against Anticarsia gemmatalis and Spodoptera frugiperda

Astilbin was isolated in high yield from Dimorphandra mollis, and its insecticidal and growth inhibiting activity by stomach ingestion were evaluated against Anticarsia gemmatalis and Spodoptera frugiperda. The insecticidal activity of astilbin, the weight reduction of the larval phase and the prolongation of the larval and pupal phases were verified for both species. Astilbin was identified on the base of its NMR, MS and physical data. (C) 2002 Society of Chemical Industry.

Broad-scale mapping of seafloor habitats in the north-east Atlantic using existing environmental data

If marine management policies and actions are to achieve long-term sustainable use and management of the marine environment and its resources, they need to be informed by data giving the spatial distribution of seafloor habitats over large areas. Broad-scale seafloor habitat mapping is an approachwhich has the benefit of producing maps covering large extents at a reasonable cost. This approach was first investigated by Roff et al. (2003), who, acknowledging that benthic communities are strongly influenced by the physical characteristics of the seafloor, proposed overlaying mapped physical variables using a geographic information system (GIS) to produce an integrated map of the physical characteristics of the seafloor. In Europe the method was adapted to the marine section of the EUNIS (European Nature Information System) classification of habitat types under the MESH project, andwas applied at an operational level in 2011 under the EUSeaMap project. The present study compiled GIS layers for fundamental physical parameters in the northeast Atlantic, including (i) bathymetry, (ii) substrate type, (iii) light penetration depth and (iv) exposure to near-seafloor currents andwave action. Based on analyses of biological occurrences, significant thresholds were fine-tuned for each of the abiotic layers and later used in multi-criteria raster algebra for the integration of the layers into a seafloor habitat map. The final result was a harmonised broad-scale seafloor habitat map with a 250 m pixel size covering four extensive areas, i.e. Ireland, the Bay of Biscay, the Iberian Peninsula and the Azores. The map provided the first comprehensive perception of habitat spatial distribution for the Iberian Peninsula and the Azores, and fed into the initiative for a pan- European map initiated by the EUSeaMap project for Baltic, North, Celtic and Mediterranean seas.

How to enhance Geobotany in the frame of the renewed Biological Sciences?

In recent decades the importance of structuring sciences such as botany or phytosociology faced a declining attention from the scientific community. This was accompanied by a growing interest in theoretical ecology. For such scenario greatly contributed an hypothetical exhaustion of research topics in these areas, but especially the introduction of new technologies that have provided powerful tools for data analysis. This allowed, for example, to make predictions about the impacts of climate change on species and plant communities and the consequent recognition of theoretical ecology, as one of the most prestigious pieces of current biological sciences. However, theoretical ecology has been facing serious knoledge gaps that greatly compromise their results, putting again the spotligth on structuring sciences. For example there are enourmous gaps in knowledge and data on dispersal, species and communities chorology and abundace, as well as in biological interactions. These data is essential, since they will determine ecological behavior of species. Its omission always limits the understanding and proper execution of the models generated by theoretical ecology. In this conference we will present a review on the gaps in knowledge and data in flora and vegetation fields in order to identify situations where geobotanical knowledge can make their major contribution. Furthermore, we will emphasize the need to reformulate objectives in geobotanical sciences in order to give it the deserved scientific recognition, considering the relationship between different scientific knowledges.

Construction of the Cognitive Dimension of the Scientific Literacy in the Students through the Costa Rican Biological Sciences Olympics

This research recognizes the cognitive contributions to the students participating in the Third Costa Rican Biological Sciences Olympics that will define the advancement and strengthening in the construction of its conceptual dimension in the scientific literacy.  This paper is based, mainly, on qualitative approach techniques (ethnographic design:  case study); however, some data are interpreted through quantitative methodologies (descriptive design with an explanatory and exploratory touch) for the analysis of a sample of 54 high school students, finalists in the category A of the Olympics, through the use of tools such as a documentary study and a survey, in July 2009.  The information generated was analyzed using elements of inferential and descriptive statistics, figures and histograms.  It was proved that there is a better cognitive management in the topics assessed, an increase in the students’ academic performance as the tests are applied, a commitment for the academic update supported by the development of several tasks for previous preparation, curriculum contributions unprecedented based on our sample, a consent to optimize student’s knowledge about Biology, which will allow the application of scientific notions to diversify and renew the knowledge, according to what is established in the principles of scientific literacy.

Ocean-Atmosphere Interactions: Linking Oceanic Biological Activity to Marine Aerosol Physico-Chemical and Cloud Properties

In this work, in-situ measurements of aerosol chemical composition, particle number size distribution, cloud-relevant properties and ground-based cloud observations were combined with high-resolution satellite sea surface chlorophyll-a concentration and air mass back-trajectory data to investigate the impact of the marine biota on aerosol physico-chemical and cloud properties. Studies were performed over the North-Eastern Atlantic Ocean, the central Mediterranean Sea, and the Arctic Ocean, by deploying both multi-year datasets and short-time scale observations. All the data were chosen to be representative of the marine atmosphere, reducing to a minimum any anthropogenic input. A relationship between the patterns of marine biological activity and the time evolution of marine aerosol properties was observed, under a variety of aspects, from chemical composition to number concentration and size distribution, up to the most cloud‐relevant properties. At short-time scales (1-2 months), the aerosol properties tend to respond to biological activity variations with a delay of about one to three weeks. This delay should be considered in model applications that make use of Chlorophyll-a to predict marine aerosol properties at high temporal resolution. The impact of oceanic biological activity on the microphysical properties of marine stratiform clouds is also evidenced by our analysis, over the Eastern North Atlantic Ocean. Such clouds tend to have a higher number of smaller cloud droplets in periods of high biological activity with respect to quiescent periods. This confirms the possibility of feedback interactions within the biota-aerosol-cloud climate system. Achieving a better characterization of the time and space relationships linking oceanic biological activity to marine aerosol composition and properties may significantly impact our future capability of predicting the chemical composition of the marine atmosphere, potentially contributing to reducing the uncertainty of future climate predictions, through a better understanding of the natural climate system.

Biological analysis of the in-vitro effects of homologous recombination inhibition and its use in cancer treatment through synthetic lethality

Synthetic lethality represents an anticancer strategy that targets tumor specific gene defects. One of the most studied application is the use of PARP inhibitors (e.g. olaparib) in BRCA1/2-less cancer cells. In BRCA2-defective tumors, olaparib (OLA) inhibits DNA single-strand break repair, while BRCA2 mutations hamper homologous recombination (HR) repair. The simultaneous impairment of those pathways leads BRCA-less cells to death by synthetic lethality. The projects described in this thesis were aimed at extending the use of OLA in cancer cells that do not carry a mutation in BRCA2 by combining this drug with compounds that could mimic a BRCA-less environment via HR inhibition. We demonstrated the effectiveness of our “fully small-molecule induced synthetic lethality” by using two different approaches. In the direct approach (Project A), we identified a series of neo-synthesized compounds (named RAD51-BRCA2 disruptors) that mimic BRCA2 mutations by disrupting the RAD51-BRCA2 interaction and thus the HR pathway. Compound ARN 24089 inhibited HR in human pancreatic adenocarcinoma cell line and triggered synthetic lethality by synergizing with OLA. Interestingly, the observed synthetic lethality was triggered by tackling two biochemically different mechanisms: enzyme inhibition (PARP) and protein-protein disruption (RAD51-BRCA2). In the indirect approach (Project B), we inhibited HR by interfering with the cellular metabolism through inhibition of LDH activity. The obtained data suggest an LDH-mediated control on HR that can be exerted by regulating either the energy supply needed to this repair mechanism or the expression level of genes involved in DNA repair. LDH inhibition also succeeded in increasing the efficiency of OLA in BRCA-proficient cell lines. Although preliminary, these results highlight a complex relationship between metabolic reactions and the control of DNA integrity. Both the described projects proved that our “fully small-molecule-induced synthetic lethality” approach could be an innovative approach to unmet oncological needs.

Surgery after biological therapy in locally advanced NSCLC with molecular driver: feasibility and effectiveness of a new multidisciplinary approach

Introduction: Surgical outcomes after biological therapy have not been investigated yet and no information about timing, postoperative complications and survival have been recorded. Methods: This is a prospective study which compares a group of stage IIIA and IIIB NSCLC patients treated with biological therapy with patients undergoing standard induction chemotherapy. Data reported are preliminary results on the safety and effectiveness of surgery after target therapy. Results: We compared 22 patients treated with standard chemotherapy (Group 1) and 6 patients who received target therapy (Group 2). No differences were observed with an important bias due to the limited number of cases. The median time of resection was 159.8 ± 62.8 for group 1 and 201 ± 57.8 for group 2 (p=0.194). Complete resection was obtained in all Group 1-cases. Post-operative complication rate was 22% vs 16% (p=1). Pathologists reported necrosis >50% in 13% in group 1, Fibrosis >50% was presents respectively in 27% and 33% of patients (p=1). Residual vital tumor was >50% in 77% of patients undergone CT and in 66% of patients undergone TT (p=0.622). A total of 6 (31%) patients in the CT-group developed recurrence, 3 in the TT- group (64.2%), p was 0.634. No difference was observed both in terms of OS (P=0.29, Figure 3) and in term of DFS (P=0.106, Figure 4). Discussion: There is no consensus in the use of target therapy for advanced tumor in association with surgery. EGFR-tyrosine kinase inhibitors showed higher and more rapid response and our study wants to demonstrate that surgery after target therapy gives full access to the advantage of definitive local treatment. In our series, despite fibrosis, radical surgery has been achieved in all patients operated. The intraoperative blood loss, operation time, postoperative hospital stay and postoperative complication rate seems to be similar.