Éditeur(s) : HAL CCSD
Résumé : The bacterial microbiota of ants (Hymenoptera: Formicidae) is known to have a defensive role in social insects, particularly for leaf-cutting ants (Formicidae: Attini) due to the use of antimicrobial molecules produced by cuticular actinobacteria. In this thesis, we studied the bacterial microbiota of ants in French Guyana using different approaches based on natural products chemistry and molecular ecology. The first chapter describes the isolation, identification, culture and biological evaluations of 43 cuticular actinobacteria. Antagonism bioassays of isolated strains and antibiotic activities of the culture extracts against human pathogens are presented as well as the identification of an antimicrobial cyclic dipeptide (Cyclo (LPro-LPhe)) isolated from a strain close to Streptomyces thioluteus. Moreover, the implementation of molecular networks applied to UPLC/MS/MS analysis of actinobacterial cocultures allowed us to explore the diversity of metabolites produced under these conditions. The second chapter presents a methodological study to evaluate the capacity of four DNA extraction methods, in terms of richness and composition of the cuticular bacterial microbiota, in high-throughput sequencing from Atta cephalotes and Pseudomyrmex penetrator. The results of metabarcoding highlight two methods of extraction and reveal inter- and intraspecific differences in the composition of cuticular bacterial communities. Finally, chapter three describes the composition of the cuticular bacterial microbiota of Camponotus femoratus and Crematogaster levior in ant garden and the results reveal the acquisition in the environment of a part of the microbiota. In parallel, metabolomic analyses of ant’s cuticle show, on the contrary, a greater specificity related to the ant species. Future researches focusing on statistical analysis strategies combining metabarcoding and metabolomics data are discussed.
Le microbiote bactérien cuticulaire des fourmis (Hymenoptera : Formicidae) est connu pour avoir un rôle défensif chez ces insectes sociaux, notamment chez les fourmis attines (Formicidae : Attini) grâce l’utilisation de molécules antimicrobiennes produites par des actinobactéries cuticulaires. Dans le cadre de cette thèse, nous avons étudié le microbiote bactérien des fourmis de Guyane en utilisant différentes approches en chimie des produits naturels et en écologie moléculaire. Le premier chapitre décrit l’isolement, l’identification, la culture et l’évaluation biologique de 43 actinobactéries cuticulaires de fourmis de Guyane. Les tests d’antagonismes des souches isolées et l’activité antibiotique des extraits de culture contre des micro-organismes pathogènes humains sont présentés ainsi que l’identification d’un dipeptide cyclique (Cyclo(LPro-LPhe)) antimicrobien qui a été isolé à partir d’une souche proche de Streptomyces thioluteus. Par ailleurs, la mise en œuvre de réseaux moléculaires appliqués à une analyse par UPLC/MS/MS de cocultures d’actinobactéries a permis d’explorer la diversité des métabolites produits dans ces conditions. Le deuxième chapitre présente une étude méthodologique pour comparer quatre méthodes d’extraction d’ADN, en termes de richesse et de composition du microbiote bactérien cuticulaire, par séquençage haut débit à partir des espèces Atta cephalotes et Pseudomyrmex penetrator. Les résultats du métabarcoding ADN mettent en lumière deux méthodes d’extraction et révèlent des différences inter- et intraspécifiques dans la composition des communautés bactériennes cuticulaires. Enfin, le chapitre trois décrit la composition du microbiote bactérien cuticulaire des espèces Camponotus femoratus et Crematogaster levior dans les jardins de fourmis. Les résultats soulignent l’acquisition d’une partie du microbiote dans l’environnement. En parallèle l’analyse métabolomique des cuticules montre à contrario une plus grande spécificité liée à l’espèce de fourmi. Les recherches futures axées sur les stratégies d’analyses statistiques combinant le métabarcoding et la métabolomique sont discutées.
https://tel.archives-ouvertes.fr/tel-01537793

NNT : 2017YANE0003
tel-01537793
https://tel.archives-ouvertes.fr/tel-01537793
https://tel.archives-ouvertes.fr/tel-01537793/document
https://tel.archives-ouvertes.fr/tel-01537793/file/thesecarolinebirer.pdf

Éditeur(s) : HAL CCSD Wiley
Résumé : International audience
High sea surface temperature accompanied by high levels of solar irradiance is responsible for the disruption of the symbiosis between cnidarians and their symbiotic dinoflagellates from the genus Symbiodinium. This phenomenon, known as coral bleaching, is one of the major threats affecting coral reefs around the world. Because an important molecular trigger to bleaching appears related to the production of reactive oxygen species (ROS), it is critical to understand the function of the antioxidant network of Symbiodinium species. In this study we investigated the response of two Symbiodinium species, from contrasting environments, to a chemically induced oxidative stress. ROS produced during this oxidative burst reduced photosynthesis by 30 to 50% and significantly decreased the activity of superoxide dismutase. Lipid peroxidation levels and carotenoid concentrations, especially diatoxanthin, confirm that these molecules act as antioxidants and contribute to the stabilization of membrane lipids. The comparative analysis between the two Symbiodinium species allowed us to highlight that Symbiodinium sp. clade A temperate was more tolerant to oxidative stress than the tropical S. kawagutii clade F. These differences are very likely a consequence of adaptation to their natural environment, with the temperate species experiencing conditions of temperature and irradiance much more variable and extreme.
ISSN: 0140-7791

hal-01546161
https://hal.archives-ouvertes.fr/hal-01546161
DOI : 10.1111/pce.12825

Éditeur(s) : HAL CCSD Society for the Study of Reproduction
Résumé : International audience
Spermmotility notably depends on the structural integrity of the flagellum and the regulation ofmicrotubule dynamics. Although researchers have started to use " omics" techniques to characterize the human sperm's molecular landscape, the constituents responsible for the assembly, organization, and dynamics of the flagellum microtubule have yet to be fully defined. In this study, we defined a core set of 116 gene products associated with the human sperm microtubulome (including products potentially involved in abnormal ciliary phenotypes and male infertility disorders). To this end, we designed and applied an integrated genomics workflow and combined relevant proteomics, transcriptomics, and interactomics datasets to reconstruct a dynamic interactome map. By further integrating phenotypic information, we defined a disease-interaction network; this enabled us to highlight a number of novel factors potentially associated with altered sperm motility and male fertility. Lastly, we experimentally validated the expression pattern of two candidate genes (CUL3 and DCDC2C) that had never previously been associated with male germline differentiation. Our analysis suggested that CUL3 and DCDC2C's products have important roles in the sperm flagellum. Taken as a whole, our results demonstrate that an integrated genomics strategy can highlight relevant molecular factors in specific sperm components. This approach could be easily extended by including other " omics" data (from asthenozoospermic men, for example) and identifying other critical proteins from the human sperm microtubulome. Summary Sentence Although researchers have started to use "omics" techniques to characterize the human sperm's molecular landscape, the constituents responsible for the assembly, organization, and dynamics of the flagellum microtubule have yet to be fully defined.
ISSN: 0006-3363

hal-01515563
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01515563
DOI : 10.1095/biolreprod.116.143479
PUBMED : 28395323

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Glioblastoma (GB), the most frequent primary tumor of the central nervous system, remains one of the most lethal human cancers despite intensive researches. Current paradigm in the study of GB has been focused on inter-patient variability and on trying to isolate new classification elements or prognostic factors. Here, using ICPL, a technique for protein relative quantification by mass spectrometry, we investigated protein expression between the four regions of GB on clinically relevant biopsies from 5 patients. We identified 584 non-redundant proteins and 31 proteins were found to be up-regulated in the tumor region compared to the peri-tumoral brain tissue, among which, 24 proteins belong to an interaction network linked to 4 biological processes. The core of this network is mainly constituted of interactions between beta-actin (ACTB) with heat shock proteins (HSP90AA1, HSPA8) and 14-3-3 proteins (YWHAZ, YWHAG, YWHAB). A cluster of three isoforms of the sodium pump α-subunit (ATP1A1, ATP1A2, ATP1A3) was also identified outside this network. The differential expression observed for ACTB and 14-3-3γ was further validated by western blot and/or immunohistochemistry. Our study confirms the identity of previously proposed molecular targets, highlights several functional processes altered in GB such as energy metabolism and synaptic transmission and could thus provide added value to new therapeutic trails.
ISSN: 1874-3919

hal-00877756
https://hal.archives-ouvertes.fr/hal-00877756
DOI : 10.1016/j.jprot.2012.04.034
PUBMED : 22575386

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
Background: Increasingly, similarity networks are being used for evolutionary analyses of molecular datasets. These networks are very useful, in particular for the analysis of gene sharing, lateral gene transfer and for the detection of distant homologs. Currently, such analyses require some computer programming skills due to the limited availability of user-friendly freely distributed software. Consequently, although appealing, the construction and analyses of these networks remain less familiar to biologists than do phylogenetic approaches. Results: In order to ease the use of similarity networks in the community of evolutionary biologists, we introduce a software program, EGN, that runs under Linux or MacOSX. EGN automates the reconstruction of gene and genome networks from nucleic and proteic sequences. EGN also implements statistics describing genetic diversity in these samples, for various user-defined thresholds of similarities. In the interest of studying the complexity of evolutionary processes affecting microbial evolution, we applied EGN to a dataset of 571,044 proteic sequences from the three domains of life and from mobile elements. We observed that, in Borrelia, plasmids play a different role than in most other eubacteria. Rather than being genetic couriers involved in lateral gene transfer, Borrelia's plasmids and their genes act as private genetic goods, that contribute to the creation of genetic diversity within their parasitic hosts. Conclusion: EGN can be used for constructing, analyzing, and mining molecular datasets in evolutionary studies. The program can help increase our knowledge of the processes through which genes from distinct sources and/or from multiple genomes co-evolve in lineages of cellular organisms.
ISSN: 1471-2148

hal-01544799
https://hal.archives-ouvertes.fr/hal-01544799
DOI : 10.1186/1471-2148-13-146

Éditeur(s) : HAL CCSD
Résumé : International audience
Symbiosis is a widespread phenomenon in the biosphere. In marine benthic environments breakdown of symbiosis is responsible for coral bleaching and dramatically affects coral reef ecosystems functioning [1]. In the water column, planktonic organisms are key component of pelagic ecosystems and a number of species form mutualistic association with microalgae forming a photosymbiosis [2]. Here we intended to investigate the genetic basis of photosymbiosis, through a transcriptomic approach on marine plankton organisms. We focused more specifically on associations occurring between radiolarian host (protist, zooplankton) and dinoflagellates symbiont (protist, phytoplankton) living inside the host cell. It has recently been highlighted that these holobionts are widespread in oligotrophic open oceans and there are also evidences of their fundamental implication in biogeochemical carbon, silica and strontium cycles [3, 4, 5, 6]. RNA-seq technologies allow obtaining an unprecedented amount of data for unicellular organisms isolated from the environment [7]. The study of such non-model holobionts datasets requires de novo assembly, which implies considerable computational resources and the potential production of chimeric sequences [8, 9].We therefore developed an original strategy aiming at accelerating and improving de novo assembly for holobiont datasets. We chose SIMKA [10] a fast kmer-based method initially developed to estimate the similarity between numerous metagenomic datasets, and which has been recently adapted to extract their common sequences. As our symbionts are identified, we used SIMKA to compare our holobionts transcriptomes to publicly available dinoflagellates transcriptomes [11] generating two datasets, one composed of reads from the symbionts and another with reads from the host (for which no reference data are currently available). Independent assemblies were then performed in parallel, accelerating the study process, and minimizing the proportion of resulting chimeric sequences. Our strategy produced a unique and comprehensive genomic dataset for Radiolaria [12, 13], and offers a pragmatic, large scale, comparison strategy to assemble and study holobionts [9]. Our new sequences obtained from holobionts study will be used for phylogenomics investigation, as reference for environmental metagenomic studies and ultimately to understand and characterize the molecular basis of symbiotic relationships in the plankton.Bibliografic references :[1] Simon K. Davy, Denis Allemand, and Virginia M. Weis. “Cell Biology of Cnidarian-Dinoflagellate Symbiosis”. In: Microbiology and Molecular Biology Reviews 76.2 (June 1, 2012), pp. 229–261. issn: 1092-2172, 1098- 5557. doi: 10.1128/MMBR.05014-11.[2] Janouškovec, J. et al. “Major transitions in dinoflagellate evolution unveiled by phylotranscriptomics”. in: PNAS 201614842 (2016). doi:10.1073/pnas.1614842114[3] Tristan Biard et al. “In situ imaging reveals the biomass of giant protists in the global ocean”. In: Nature advance online publication (Apr. 20, 2016). issn: 0028-0836. doi: 10.1038/nature17652.[4] Lionel Guidi et al. “Plankton networks driving carbon export in the olig- otrophic ocean”. In: Nature 532.7600 (Apr. 28, 2016), pp. 465–470. issn: 0028-0836. doi: 10.1038/nature16942.[5] Diane K. Stoecker et al. “Acquired phototrophy in aquatic protists”. In: Aquatic Microbial Ecology 57.3 (Nov. 24, 2009), pp. 279–310. doi: 10.3354/ame01340.[6] Johan Decelle et al. “An original mode of symbiosis in open ocean plankton”. In: Proceedings of the National Academy of Sciences 109.44 (Oct. 30, 2012), pp. 18000–18005. issn: 0027-8424, 1091-6490. doi: 10. 1073/pnas.1212303109.[7] Sergio Balzano et al. “Transcriptome analyses to investigate symbiotic relationships between marine protists”. In: Frontiers in Microbiology 6 (Mar. 17, 2015). issn: 1664-302X. doi: 10.3389/fmicb.2015.00098.[8] Li, B. et al. “Evaluation of de novo transcriptome assemblies from RNA-Seq data”. In: Genome Biology 15, 553 (2014).[9] Sangwan, N., Xia, F. & Gilbert, J. A. “Recovering complete and draft population genomes from metagenome datasets”. In: Microbiome 4, 8 (2016).[10] Gaëtan Benoit et al. “Multiple comparative metagenomics using mul- tiset k -mer counting”. In: PeerJ Computer Science 2 (Nov. 14, 2016). doi: 10.7717/peerj-cs.94.[11] Patrick J. Keeling et al. “The Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP): Illuminating the Functional Diversity of Eukaryotic Life in the Oceans through Transcriptome Sequencing”. In: PLOS Biol 12.6 (June 2014), e1001889. issn: 1545-7885. doi: 10.1371/journal.pbio.1001889.[12] Burki, F. et al. “Evolution of Rhizaria: new insights from phylogenomic analysis of uncultured protists”. In BMC Evolutionary Biology 10, 377 (2010).
International Conference on Holobionts
Paris, France

hal-01575069
https://hal.inria.fr/hal-01575069

Éditeur(s) : HAL CCSD American Society for Microbiology
Résumé : International audience
Toxoplasmosis is a life-threatening infection in immunocompromised patients (ICPs). The definite diagnosis relies on parasite DNA detection, but the incidence and burden of disease are ill-known in HIV-negative patients. A three-year retrospective study was conducted in 15 reference laboratories from the network of the French National Reference Center for Toxoplasmosis, to record the frequency of Toxoplasma DNA detection in ICPs, to review the molecular methods used for diagnosis and the prevention measures implemented in transplant patients. During the study period, out of 31,640 PCR performed in ICPs, 610 were positive (323 patients). Blood (n=337), cerebrospinal fluid (n=101) and aqueous humor (n=100) samples were more frequently positive. Chemoprophylaxis schemes in transplant patients differed between centers. PCR follow-up of allogeneic hematopoietic stem-cell transplant (allo-HSCT) patients was implemented in 8/15 centers. Data from 180 patients (13 centers) were further analyzed regarding clinical setting and outcome. Only 68/180 (38%) patients were HIV+; the remaining 62% consisted in 72 HSCT, 14 solid-organ transplants, and 26 miscellaneous immunodeficiencies. Cerebral toxoplasmosis and disseminated toxoplasmosis were most frequently observed in HIV and transplant patients, respectively. Of 72 allo-HSCT patients with a positive PCR, 23 were asymptomatic; all were diagnosed in centers performing systematic blood PCR follow-up, and received specific treatment. Overall survival of allo-HSCT patients at two months was better in centers with PCR follow-up than in other centers (p<0.01). This study provides updated data on the frequency of toxoplasmosis in HIV-negative ICPs and suggests that regular PCR follow-up of allo-HSCT patients could guide pre-emptive treatment and improve outcome.
ISSN: 0095-1137

hal-01134189
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01134189
DOI : 10.1128/JCM.03282-14
PUBMED : 25762774

Éditeur(s) : HAL CCSD Endocrine Society
Résumé : International audience
Transcriptional regulation by the estrogen receptor-alpha(ER) has been investigated mainly in breast cancer cell lines, but estrogens such as 17 beta-estradiol (E2) exert numerous extrareproductive effects, particularly in the liver, where E2 exhibits both protective metabolic and deleterious thrombotic actions. To analyze the direct and early transcriptional effects of estrogens in the liver, we determined the E2-sensitive transcriptome and ER cistrome in mice after acute administration of E2 or placebo. These analyses revealed the early induction of genes involved in lipid metabolism, which fits with the crucial role of ER in the prevention of liver steatosis. Characterization of the chromatin state of ER binding sites (BSs) in mice expressing or not ER demonstrated that ER is not required per se for the establishment and/or maintenance of chromatin modifications at the majority of its BSs. This is presumably a consequence of a strong overlap between ER and hepatocyte nuclear factor 4 alpha BSs. In contrast, 40% of the BSs of the pioneer factor forkhead box protein a (Foxa2) were dependent upon ER expression, and ER expression also affected the distribution of nucleosomes harboring dimethylated lysine 4 of Histone H3 around Foxa2 BSs. We finally show that, in addition to a network of liver-specific transcription factors including CCAAT/enhancer-binding protein and hepatocyte nuclear factor 4 alpha, ER might be required for proper Foxa2 function in this tissue.
ISSN: 0888-8809

hal-01357623
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01357623
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01357623/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01357623/file/Changes%20in%20gene%20expression%201%20and%20Estrogen%20Receptor_accepted.pdf
DOI : 10.1210/me.2015-1311

Éditeur(s) : HAL CCSD Wiley
Résumé : International audience
A relevant and accurate description of three-dimensional (3D) protein structures can be achieved by characterizing recurrent local structures. In a previous study, we developed a library of 120 3D structural prototypes encompassing all known 11-residues long local protein structures and ensuring a good quality of structural approximation. A local structure prediction method was also proposed. Here, overlapping properties of local protein structures in global ones are taken into account to characterize frequent local networks. At the same time, we propose a new long local structure prediction strategy which involves the use of evolutionary information coupled with Support Vector Machines (SVMs). Our prediction is evaluated by a stringent geometrical assessment. Every local structure prediction with a Calpha RMSD less than 2.5 A from the true local structure is considered as correct. A global prediction rate of 63.1% is then reached, corresponding to an improvement of 7.7 points compared with the previous strategy. In the same way, the prediction of 88.33% of the 120 structural classes is improved with 8.65% mean gain. 85.33% of proteins have better prediction results with a 9.43% average gain. An analysis of prediction rate per local network also supports the global improvement and gives insights into the potential of our method for predicting super local structures. Moreover, a confidence index for the direct estimation of prediction quality is proposed. Finally, our method is proved to be very competitive with cutting-edge strategies encompassing three categories of local structure predictions. Proteins 2009. (c) 2009 Wiley-Liss, Inc.
ISSN: 0887-3585

inserm-00348740
http://www.hal.inserm.fr/inserm-00348740
http://www.hal.inserm.fr/inserm-00348740/document
http://www.hal.inserm.fr/inserm-00348740/file/Bornot_Proteins_2009_preprint_version.pdf
http://www.hal.inserm.fr/inserm-00348740/file/inserm-00348740_edited.pdf

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
Background: Microbial genetic diversity is often investigated via the comparison of relatively similar 16S molecules through multiple alignments between reference sequences and novel environmental samples using phylogenetic trees, direct BLAST matches, or phylotypes counts. However, are we missing novel lineages in the microbial dark universe by relying on standard phylogenetic and BLAST methods? If so, how can we probe that universe using alternative approaches? We performed a novel type of multi-marker analysis of genetic diversity exploiting the topology of inclusive sequence similarity networks. Results: Our protocol identified 86 ancient gene families, well distributed and rarely transferred across the 3 domains of life, and retrieved their environmental homologs among 10 million predicted ORFs from human gut samples and other metagenomic projects. Numerous highly divergent environmental homologs were observed in gut samples, although the most divergent genes were over-represented in non-gut environments. In our networks, most divergent environmental genes grouped exclusively with uncultured relatives, in maximal cliques. Sequences within these groups were under strong purifying selection and presented a range of genetic variation comparable to that of a prokaryotic domain. Conclusions: Many genes families included environmental homologs that were highly divergent from cultured homologs: in 79 gene families (including 18 ribosomal proteins), Bacteria and Archaea were less divergent than some groups of environmental sequences were to any cultured or viral homologs. Moreover, some groups of environmental homologs branched very deeply in phylogenetic trees of life, when they were not too divergent to be aligned. These results underline how limited our understanding of the most diverse elements of the microbial world remains, and encourage a deeper exploration of natural communities and their genetic resources, hinting at the possibility that still unknown yet major divisions of life have yet to be discovered.
ISSN: 1745-6150

Droits : http://creativecommons.org/licenses/by/
hal-01257771
http://hal.upmc.fr/hal-01257771
http://hal.upmc.fr/hal-01257771/document
http://hal.upmc.fr/hal-01257771/file/s13062-015-0092-3.pdf
DOI : 10.1186/s13062-015-0092-3

Éditeur(s) : HAL CCSD American Society for Microbiology
Résumé : International audience
Molecular diagnosis of congenital toxoplasmosis or disseminated toxoplasmosis is based mainly on PCR. The repeated DNA element rep529 has become the main DNA target used in most PCR methods, whether laboratory developed or commercial. In this multicenter study, we evaluated the Toxoplasma ELITe MGB (Elitech) commercial kit by comparison with three reference quantitative PCR assays (RAs) used routinely in three proficient laboratories of the French National Reference Center for Toxoplasmosis network, using Toxoplasma calibrated suspensions diluted to obtain a range of concentrations from 0.1 to 10,000 parasites/ml. These suspensions were extracted with either the DNA extraction kit (EXTRAblood; Elitech) recommended by the manufacturer or the QIAamp DNA minikit (Qiagen). The Toxoplasma ELITe MGB assay was also evaluated on a panel of 128 clinical samples, including 56 amniotic fluid samples, 55 placenta samples, and various other samples, of which 95 originated from patients with proven toxoplasmosis. The ELITe MGB assay amplified low-concentration replicates (<10 parasites/ml) of calibrated suspensions less frequently than the RAs of 2/3 laboratories. Additionally, the combination of EXTRAblood and Toxoplasma ELITe MGB yielded poorer sensitivity than the combination of QIAamp DNA minikit and ELITe MGB for low parasite concentrations (P < 0.001 for 1 parasite/ml). On clinical samples, the sensitivity and the specificity of the commercial assay were 89% and 100%, respectively. The sensitivity ranged from 79% (placenta samples) to 100% (amniotic fluid samples). Overall, this study shows that the Toxoplasma ELITe MGB assay is suitable for the diagnosis of toxoplasmosis from non-cell-rich or non-hemoglobin-rich samples and that the EXTRAblood kit is not optimal.
ISSN: 0095-1137

hal-01526432
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01526432
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01526432/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01526432/file/Evaluation%20of%20the%20Toxoplasma.pdf
DOI : 10.1128/JCM.02379-16

Éditeur(s) : HAL CCSD
Résumé : International audience
The study of complex biological processes requires to forgo simplified models for extensive ones. Yet, these models' size and complexity place them beyond understanding. Their analysis requires new methods for identifying general patterns. The Transforming Growth Factor TGF-β is a multifunctional cytokine that regulates mammalian cell development , differentiation, and homeostasis. Depending on the context, it can play the antagonistic roles of growth inhibitor or of tumor promoter. Its context-dependent pleiotropic nature is associated with complex sig-naling pathways. The most comprehensive model of TGF-β-dependent signaling is composed of 15,934 chains of reactions (trajectories) linking TGF-β to at least one of its 159 target genes. Identifying functional patterns in such a network requires new automated methods. This article presents a framework for identifying groups of similar trajec-tories composed of the same molecules using an exhaustive and without prior assumptions approach. First, the trajectories were clustered using the Relevant Set Correlation model, a shared nearest-neighbors clustering method. Five groups of trajectories were identified. Second, for each cluster the over-represented molecules were determined by scoring the frequency of each molecule implicated in trajectories. Third, Gene set enrichment analysis on the clusters of trajectories revealed some specific TGF-β-dependent biological processes, with different clusters associated to the antagonists roles of TGF-β. This confirms that our approach yields biologically-relevant results. We developed a web interface that facilitates graph visualization and analysis. Our clustering-based method is suitable for identifying families of functionally-similar trajectories in the TGF-β signaling network. It can be generalized to explore any large-scale biological pathways.
CMSB 2017 - 15th International Conference on Computational Methods in Systems Biology
Darmstadt, France

hal-01559249
https://hal.archives-ouvertes.fr/hal-01559249
https://hal.archives-ouvertes.fr/hal-01559249/document
https://hal.archives-ouvertes.fr/hal-01559249/file/JeanCoquet_CMSB.pdf

Éditeur(s) : HAL CCSD
Résumé : contient des versions PDF d'articles scientifiques (versions éditeur)
Spectrins are actin binding proteins that constitute the main components of membrane skeletons, the protein network located under the plasma membrane. Erythroid or non erythroid (in this case, they are called fodrins), spectrins play an important structural function in the membrane as demonstrated in the red blood cell. Spectrins are composed of two long α and β chains, associated in tetramers (αβ)2, forming the long flexible filaments of the network. Both chains are composed of repeating units which are folded in a triple helical arrangement (A, B and C helices), except for segment α10 which corresponds to a Src Homology 3 domain (SH3). The head-to-head interaction between dimers implies the N-terminal end of α chain and the C-terminal end of β chain. A model was proposed for the tetramerization site of spectrin : the two A and B helices of the last repeat of α chain interact with the C helix of the β chain in order to constitute a triple-helical structure similar to the repeats along the remainder of spectrin molecule. This model was first inferred from the relationship between the severity of the spectrin self-association defect and the location of the underlying mutations found in hereditary elliptocytosis (HE). Using recombinant peptides we defined the region, on both chains, which was sufficient and necessary to generate a fully functional tetramerization site. Producing peptides carrying a βHE mutation, we reproduced the tetramerization defect as observed in red blood cells of patients.
Finally, the presence of an SH3 domain probably gives to spectrins new functions which are different from the stability of the membrane. After contesting the existence of interaction between the fodrin SH3 domain and the α subunit of epithelial sodium channel sensitive to amiloride, we searched for partners of this domain, by screening a rat kidney library with the yeast two-hybrid system. We identified severals proteins implicated in the actin polymerization asoociated with motility or cell differenciation, suggesting that SH3 domain could play a part in this process.
Les spectrines, protéines liant l'actine, sont des constituants majeurs du squelette membranaire, réseau multiprotéique localisé sous la membrane plasmique. Érythroïdes ou non érythroïdes (dans ce cas, on les appelle fodrines), les spectrines ont un rôle structural important dans la membrane comme cela a déjà été démontré, pour la spectrine, dans le globule rouge. Elles sont constituées de deux longues chaînes a et ß associées côte à côte en tétramères (aß)2 qui forment les longs filaments du réseau. Chacune des chaînes est composée par la répétition de segments homologues, 22 pour a et 17 pour ß. Ces segments sont constitués de trois hélices a (hélices A, B et C) repliées sur elles-mêmes. Cette succession de structures trihélicoïdales est parfois interrompue par un domaine particulier comme le domaine SH3 (Src Homology 3) présent au milieu de la chaîne a. Les tétramères (aß)2 de spectrine constituent les filaments du squelette membranaire. L'interaction tête-à-tête de deux dimères aß implique les extrémités NH2 de la chaîne a et COOH de la chaîne ß. D'une part la sévérité du défaut d'auto-association et la localisation des mutations associées à celui-ci et d'autre part, les séquences en acides aminés des extrémités impliquées dans le site d'auto-association ont permis de proposer un modèle : la première hélice C isolée de la chaîne a pourrait s'associer aux deux dernières hélices A et B de la chaîne ß pour reconstituer une unité conformationnelle trihélicoïdale semblable à celles observées le long de la molécule. Un défaut dans la formation du tétramère est le support moléculaire le plus fréquemment observé dans les elliptocytoses héréditaires (HE). À l'aide de peptides recombinants, nous avons défini, sur les deux chaînes, les régions nécessaires et suffisantes possédant les caractéristiques pleinement fonctionnelles du site de tétramérisation. Nous avons ensuite, par mutagenèse dirigée, reproduit le lien entre la présence de mutations HE localisées dans les hélices A ou B et le défaut d'auto-association observé dans les globules rouges de patients HE. La présence d'un domaine SH3 localisé au milieu de la chaîne a confère probablement aux spectrine des fonctions autres que le maintien et la stabilité de la membrane. Les SH3, petits domaines protéiques, participent aux interactions protéine/protéine. Le seul partenaire connu du domaine SH3 de la fodrine était la sous-unité a du canal sodium sensible à l'amiloride (ENaC) mais la fonction de ce complexe n'était pas encore caractérisée. À l'aide de différentes méthodes, nous avons remis en cause l'interaction directe entre ENaC et le SH3 de la fodrine. La fonction de ce domaine SH3 étant liée à la nature de son ligand, nous avons donc recherché les partenaires putatifs du domaine SH3 de la fodrine par la technique du double-hybride. 29 partenaires ont été identifiés, regroupés en 19 familles et 10 clones isolés. La spécificité des interactions a été étudiée à la fois par double-hybride, à l'aide de mutants du domaine SH3 de la fodrine produits par mutagenèse dirigée. Les interactions vis-à-vis d'autres domaines SH3 (spectrine ou une protéine de levure non relatée Scd2) ont été également analysées. Enfin, la spécificité de certains partenaires a été confirmée par des études d'interactions in vitro. Deux des protéines les plus spécifiques du domaine SH3 de la fodrine sont des protéines tyrosine-phosphatase PTP. La première est l'isoforme A de PTP de faible poids moléculaire (LMPTPA) mais l'interaction n'a pas été confirmée in vitro. La deuxième, TD14, est une nouvelle PTP dont la seule fonction connue est d'inhiber la formation des foyers tumoraux des cellules surexprimant l'oncogène Ha-ras. Ces PTP pourraient soit déphosphoryler la fodrine, soit être recrutées sous la membrane pour déphosphoryler une autre cible. Nous avons également identifié trois partenaires (N-WASP, Evl et une protéine de la famille des formines) suggérant que les domaines SH3 des spectrines pourraient être impliqués dans les processus de polymérisation de l'actine liés à la mobilité ou la différenciation cellulaire. Mot clés : spectrine, fodrine, tétramérisation, SH3, double-hybride, polymérisation de l'actine
https://tel.archives-ouvertes.fr/tel-00284819

Droits : info:eu-repo/semantics/OpenAccess
tel-00284819
https://tel.archives-ouvertes.fr/tel-00284819
https://tel.archives-ouvertes.fr/tel-00284819/document
https://tel.archives-ouvertes.fr/tel-00284819/file/Nicolas_1999_-_These.pdf

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
The tree model and tree-based methods have played a major, fruitful role in evolutionary studies. However, with the increasing realization of the quantitative and qualitative importance of reticulate evolutionary processes, affecting all levels of biological organization, complementary network-based models and methods are now flourishing, inviting evolutionary biology to experience a network-thinking era. We show how relatively recent comers in this field of study, that is, sequence-similarity networks, genome networks, and gene families–genomes bipartite graphs, already allow for a significantly enhanced usage of molecular datasets in comparative studies. Analyses of these networks provide tools for tackling a multitude of complex phenomena, including the evolution of gene transfer, composite genes and genomes, evolutionary transitions, and holobionts.
ISSN: 0966-842X

Droits : http://creativecommons.org/licenses/by-nc-nd/
hal-01300043
http://hal.upmc.fr/hal-01300043
http://hal.upmc.fr/hal-01300043/document
http://hal.upmc.fr/hal-01300043/file/Network-Thinking.pdf
DOI : 10.1016/j.tim.2015.12.003

Éditeur(s) : HAL CCSD Society for Molecular Biology and Evolution
Résumé : International audience
Complex nongradual evolutionary processes such as gene remodeling are difficult to model, to visualize, and to investigate systematically. Despite these challenges, the creation of composite (or mosaic) genes by combination of genetic segments from unrelated gene families was established as an important adaptive phenomena in eukaryotic genomes. In contrast, almost no general studies have been conducted to quantify composite genes in viruses. Although viral genome mosaicism has been well-described, the extent of gene mosaicism and its rules of emergence remain largely unexplored. Applying methods from graph theory to inclusive similarity networks, and using data from more than 3,000 complete viral genomes, we provide the first demonstration that composite genes in viruses are 1) functionally biased, 2) involved in key aspects of the arm race between cells and viruses, and 3) can be classified into two distinct types of composite genes in all viral classes. Beyond the quantification of the widespread recombination of genes among different viruses of the same class, we also report a striking sharing of genetic information between viruses of different classes and with different nucleic acid types. This latter discovery provides novel evidence for the existence of a large and complex mobilome network, which appears partly bound by the sharing of genetic information and by the formation of composite genes between mobile entities with different genetic material. Considering that there are around 10E31 viruses on the planet, gene remodeling appears as a hugely significant way of generating and moving novel sequences between different kinds of organisms on Earth.
ISSN: 1759-6653

Droits : http://creativecommons.org/licenses/by/
hal-01324848
http://hal.upmc.fr/hal-01324848
http://hal.upmc.fr/hal-01324848/document
http://hal.upmc.fr/hal-01324848/file/Genome%20Biol%20Evol-2014-Jachiet-2195-205.pdf
DOI : 10.1093/gbe/evu168

Éditeur(s) : HAL CCSD
Résumé : The recent accumulation of genomic sequence data has shown that gene evolution is not strictly tree-Like. Many evolutionary processes, like exon shuffling, gene fusion or nonhomologous recombination remodel genes by creating composite structures that are made from parts with different evolutionary histories. The development of sequence similarity networks provides an analytical framework to study the impact of these processes on molecular evolution, by structuring the resemblance relationships between sequences and by formalizing, in terms of graph theory, the detection of composite genes (intransitive triplets) and gene families (clique minimal separators). The size of current data sets, typically several million sequences, has also required the development of new tools and methods: sequence comparison parallelization, large networks visualization with Louvain communities and large cycles identification. When applied to eukaryotic and viral genome data sets, these methods have shown that composite genes are found throughout cellular organisms and mobile genetic elements. Proportionally, composite genes are more numerous in eukaryotic genomes; in absolute number, they are more numerous in viruses. In the latter, composite genes functional distribution is biased (enrichment of genes families that are essential for the perpetuation of the viral cycle), and the various parts of composite genes sometimes even originate from the genetic material of different viral classes. More generally, the extent of combinatorial processes, by unravelling other evolutionary bonds than homology bonds in the strictest sense, legitimates a pluralistic study of similarity relationships between sequences.
L’accumulation récente de données de séquences génomiques a montré que l’évolution des gènes n’est pas strictement arborescente. De nombreux processus évolutifs, comme l’exon shuffling, la fusion de gènes ou la recombinaison illégitime remodèlent les gènes, créant des structures composites, formées de parties dont les histoires évolutives sont différentes. Le développement de réseaux de similarité de séquences fournit un cadre analytique permettant d’étudier l’impact de ces processus sur l’évolution moléculaire, en structurant les relations de ressemblance entre séquences et en formalisant en termes de graphes la détection de gènes (triplets intransitifs) et de familles de gènes (cliques minimales séparatrices) composites. La taille des jeux de données actuels, de l’ordre de plusieurs millions de séquences, a également requis le développement de nouveaux outils et méthodes : parallélisation des comparaisons de séquences, visualisation de très grands réseaux par simplification en communautés de Louvain et identification de grands cycles. Appliquées à des jeux de données de génomes eucaryotes et viraux, ces méthodes ont démontré la présence de gènes composites dans tout le vivant et les éléments génétiques mobiles. En proportion, les gènes composites sont plus nombreux dans les génomes eucaryotes ; en nombre absolu, ils sont plus nombreux à être portés par des virus. Chez ces derniers, la distribution fonctionnelle des gènes composites est biaisée (enrichissement dans les familles essentielles pour la perpétuation du cycle viral), et les éléments des gènes composites trouvent même parfois leurs origines dans le matériel génétique de classes virales différentes. Plus généralement, l’étendue des processus combinatoires, en révélant des liens évolutionnaires autres que les liens d’homologie au sens fort, justifie une étude pluraliste des relations de similarité entre séquences.
https://tel.archives-ouvertes.fr/tel-01127379

NNT : 2014PA066358
tel-01127379
https://tel.archives-ouvertes.fr/tel-01127379
https://tel.archives-ouvertes.fr/tel-01127379/document
https://tel.archives-ouvertes.fr/tel-01127379/file/2014PA066358.pdf

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Recently it has become clear that exposure to xenobiotics may result in various forms of cell death; not only passive cell deaths like necrosis, or programmed cell deaths such as apoptosis, but also regulated necrosis, autophagy, senescence, or mitotic catastrophe. Complex cell signaling networks influence the processing of cell death. Furthermore, recent research has revealed early complex molecular interactions between organelles prior to the final triggering of cell death. The plasma membrane may play an important role in the early cell death signaling events. Regarding this latter aspect, drugs and environmental pollutants have been reported to affect plasma membrane characteristics which may further affect cell fate. Changes in membrane fluidity or in composition and function of specialized membrane microdomains (plasma membrane remodeling) have been proven to be involved in the regulation of many important physiological signaling pathways, including cell death. Furthermore, it has been suggested that a crosstalk between chemical-induced cellular membrane effects and other organelles may be of vital importance to explain the final outcome of chemical exposure. Here, we review the effects of plasma membrane remodeling on cell survival and cell death; we describe how the cell signaling pathways activated by changes in plasma membrane characteristics may influence cell fate. Since plasma membrane function plays an important role in the regulation of a number of cellular responses, it has been implicated in the development or progress of several diseases. A better knowledge of the effects of various chemicals on plasma membrane remodeling may be important for understanding the pathogenesis of major diseases, and may assist in developing new therapeutic strategies.
ISSN: 0300-483X

inserm-00818916
http://www.hal.inserm.fr/inserm-00818916
DOI : 10.1016/j.tox.2012.12.014
PUBMED : 23287390

Éditeur(s) : HAL CCSD Springer Verlag
Résumé : International audience
Chromatin modification enzymes are important regulators of gene expression and some are evolutionarily conserved from yeast to human. Saccharomyces cerevisiae is a major model organism for genome-wide studies that aim at the identification of target genes under the control of conserved epigenetic regulators. Ume6 interacts with the upstream repressor site 1 (URS1) and represses transcription by recruiting both the conserved histone deacetylase Rpd3 (through the co-repressor Sin3) and the chromatin-remodeling factor Isw2. Cells lacking Ume6 are defective in growth, stress response, and meiotic development. RNA profiling studies and in vivo protein-DNA binding assays identified mRNAs or transcript isoforms that are directly repressed by Ume6 in mitosis. However, a comprehensive understanding of the transcriptional alterations, which underlie the complex ume6Δ mutant phenotype during fermentation, respiration, or sporulation, is lacking. We report the protein-coding transcriptome of a diploid MAT a/α wild-type and ume6/ume6 mutant strains cultured in rich media with glucose or acetate as a carbon source, or sporulation-inducing medium. We distinguished direct from indirect effects on mRNA levels by combining GeneChip data with URS1 motif predictions and published high-throughput in vivo Ume6-DNA binding data. To gain insight into the molecular interactions between successive waves of Ume6-dependent meiotic genes, we integrated expression data with information on protein networks. Our work identifies novel Ume6 repressed genes during growth and development and reveals a strong effect of the carbon source on the derepression pattern of transcripts in growing and developmentally arrested ume6/ume6 mutant cells. Since yeast is a useful model organism for chromatin-mediated effects on gene expression, our results provide a rich source for further genetic and molecular biological work on the regulation of cell growth and cell differentiation in eukaryotes.
ISSN: 1617-4615

hal-01151619
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01151619
DOI : 10.1007/s00438-015-1051-5
PUBMED : 25957495

Éditeur(s) : Université de Bretagne Occidentale
Résumé : Archaea are micro-organisms present in all ecosystems, but are majoritary present in extremophilic environments. Hyperthermophilic Archaea, as Pyrococcus abyssi, are permanently exposed at temperature which can increase the rate of spontaneous DNA damage. It is probable that hyperthermophilic Archaea possess efficient molecular mechanism to duplicate, maintain and stabilize their genomes. The aim of this project was to investigate the interaction network involved in the process of DNA replication and DNA repair. The methodological approach consists in the coupling of pull-down with mass spectrometry identification of interacting partners. A preliminary interaction network was identified that was composed of new proteins as well as unsuspected interactions between known components of DNA replication machinery. The main results consist in: (1) the nuclease Pab2263, which interacts with PCNA, is a novel player in DNA metabolism. (2) PCNA is likely part of a macrocomplex with the ubiquitary proteins Mre11 and Rad50 suggesting a role of this complex in the repair of double strand break in connection with a replication fork. (3) Fen1 and DNA primase interact physically and can collaborate in vitro to resolve intermediate step of the base excision repair pathway. These results enhance our understanding of DNA repair process in Archaea.
Les Archaea sont des micro-organismes rencontrés dans tous les écosystèmes, mais qui apparaissent comme majoritaires dans les environnements dits extrêmes. Les archaea hyperthermophiles, comme Pyrococcus abyssi sont en permanence exposées à des températures qui peuvent augmenter le taux de dommages de l'ADN, pourtant, le taux de mutations spontanés chez ces micro-organismes est similaire à celui des espèces modèles mésophiles. Il est ainsi probable que les hyperthermophiles possèdent des systèmes particulièrement efficaces pour dupliquer, maintenir et stabiliser leur génome. L'objectif de ce projet était d'explorer le réseau d'interaction impliqué dans les processus de réplication et de réparation de l'ADN. L'approche méthodologique mise en oeuvre a consisté à coupler la capture de partenaires d'interaction par pull-down avec leur identification par spectrométrie de masse. J'ai pu ainsi mettre en évidence, au sein l'extrait cellulaire de P. abyssi, un réseau préliminaire reliant des protéines de la maintenance génomique. Nous avons non seulement mis en évidence de nouvelles protéines impliquées probablement dans des mécanismes de réparation, mais également des nouvelles interactions non suspectées entre des composants déjà caractérisés. Les principaux résultats sont les suivants : (1) La nucléase Pab2263, partenaire du PCNA, est un nouvel acteur du métabolisme de l'ADN. (2) Le PCNA forme un macrocomplexe avec les protéines ubiquitaires Mre11 et Rad50 suggérant un rôle de ce complexe dans la réparation des cassures double brin de l'ADN lors de la réplication. (3) Les protéines Fen1 et l'ADN primase interagissent physiquement et peuvent collaborer in vitro pour résoudre une étape intermédiaire de la voie de réparation par excision de base. Ces résultats enrichissent notre compréhension des processus de réparation de l'ADN chez les archées.

Droits : info:eu-repo/semantics/openAccess
http://archimer.ifremer.fr/doc/2008/these-3722.pdf
http://archimer.ifremer.fr/doc/00000/3722/

Éditeur(s) : HAL CCSD American Chemical Society
Résumé : Three new monoterpene indole alkaloids (13) have been isolated from the bark of Geissospermum laeve-, together with the known alkaloids (-)-leuconolam (4), geissolosimine (5), and geissospermine (6). The structures of 1-3 were elucidated by analysis of their HRMS and NMR spectroscopic data. The absolute configuration of geissolaevine (I). was deduced from the comparison of experimental and theoretically calculated ECD spectra. The isolation workflow was guided by a molecular networking-based dereplication strategy using an in-house database of monoterpene indole alkaloids. In addition, five known compounds previously undescribed in the Geissospermum genus were dereplicated from the G. laeve alkaloid extract network and were assigned with various levels of identification confidence. The antiparasitic activities against Plasmodium falciparum and Leishmania donovani as well as the Ortotoxic activity against the MRC-5 cell line were determined for compounds 1-5.
ISSN: 0163-3864

hal-01605065
https://hal.archives-ouvertes.fr/hal-01605065
DOI : 10.1021/acs.jnatprod.6b01013
PRODINRA : 402605
PUBMED : 28282127