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363 results on '"Ehrlich, S. D."'

1. Essential Bacillus subtilis Genes

Author

Kobayashi, K., Ehrlich, S. D., Albertini, A., Amati, G., Andersen, K. K., Arnaud, M., Asai, K., Ashikaga, S., Aymerich, S., Bessieres, P., Boland, F., Brignell, S. C., Bron, S., Bunai, K., Chapuis, J., Christiansen, L. C., Danchin, A., Débarbouillé, M., Dervyn, E., Deuerling, E., Devine, K., Devine, S. K., Dreesen, O., Errington, J., Fillinger, S., Foster, S. J., Fujita, Y., Galizzi, A., Gardan, R., Eschevins, C., Fukushima, T., Haga, K., Harwood, C. R., Hecker, M., Hosoya, D., Hullo, M. F., Kakeshita, H., Karamata, D., Kasahara, Y., Kawamura, F., Koga, K., Koski, P., Kuwana, R., Imamura, D., Ishimaru, M., Ishikawa, S., Ishio, I., Le Coq, D., Masson, A., Mauël, C., Meima, R., Mellado, R. P., Moir, A., Moriya, S., Nagakawa, E., Nanamiya, H., Nakai, S., Nygaard, P., Ogura, M., Ohanan, T., O'Reilly, M., O'Rourke, M., Pragai, Z., Pooley, H. M., Rapoport, G., Rawlins, J. P., Rivas, L. A., Rivolta, C., Sadaie, A., Sadaie, Y., Sarvas, M., Sato, T., Saxild, H. H., Scanlan, E., Schumann, W., Sekiguchi, J., Sekowska, A., Séror, S. J., Simon, M., Stragier, P., Studer, R., Takamatsu, H., Tanaka, T., Takeuchi, M., Thomaides, H. B., Vagner, V., van Dijl, J. M., Watabe, K., Wipat, A., Yamamoto, H., Yamamoto, M., Yamamoto, Y., Yamane, K., Yata, K., Yoshida, K., Yoshikawa, H., Zuber, U., and Ogasawara, N.

Published
2003

9. Elevated serum ceramides are linked with obesity-associated gut dysbiosis and impaired glucose metabolism

Author

Kayser, B. D., Prifti, E., Lhomme, M., Belda, E., Dao, M. C., Aron-Wisnewsky, J., Kontush, A., Zucker, Jean-Daniel, Rizkalla, S. W., Dugail, I., Clement, K., Kennedy, S. P., Pons, N., Le Chatelier, E., Almeida, M., Quinquis, B., Galleron, N., Batto, J. M., Renault, P., Ehrlich, S. D., Blottiere, H., Leclerc, M., de Wouters, T., Lepage, P., Dore, J., and MICRO-Obes Consortium

Subjects
Sphingolipids, Glucose metabolism, Endotoxin, Microbiome, Ceramides
Abstract

Introduction Low gut microbiome richness is associated with dyslipidemia and insulin resistance, and ceramides and other sphingolipids are implicated in the development of diabetes. Objectives Determine whether circulating sphingolipids, particularly ceramides, are associated with alterations in the gut microbiome among obese patients with increased diabetes risk. Methods This was a cross-sectional and longitudinal retrospective analysis of a dietary/weight loss intervention. Fasted serum was collected from 49 participants (41 women) and analyzed by HPLC-MS/MS to quantify 45 sphingolipids. Shotgun metagenomic sequencing of stool was performed to profile the gut microbiome. Results Confirming the link to deteriorated glucose homeostasis, serum ceramides were positively correlated with fasting glucose, but inversely correlated with fasting and OGTT-derived measures of insulin sensitivity and beta-cell function. Significant associations with gut dysbiosis were demonstrated, with SM and ceramides being inversely correlated with gene richness. Ceramides with fatty acid chain lengths of 20-24 carbons were the most associated with low richness. Diet-induced weight loss, which improved gene richness, decreased most sphingolipids. Thirty-one MGS, mostly corresponding to unidentified bacteria species, were inversely correlated with ceramides, including a number of Bifidobacterium and Methanobrevibacter smithii. Higher ceramide levels were also associated with increased metagenomic modules for lipopolysaccharide synthesis and flagellan synthesis, two pathogen-associated molecular patterns, and decreased enrichment of genes involved in methanogenesis and bile acid metabolism. Conclusion This study identifies an association between gut microbiota richness, ceramides, and diabetes risk in overweight/obese humans, and suggests that the gut microbiota may contribute to dysregulation of lipid metabolism in metabolic disorders.

Published
2019

11. The complete genome sequence of the Gram-positive bacterium Bacillus subtilis

Author

Kunst, F., Ogasawara, N., Moszer, I., Albertini, A. M., Alloni, G., Azevedo, V., Bertero, M. G., Bessieres, P., Bolotin, A., Borchert, S., Borriss, R., Boursier, L., Brans, A., Braun, M., Brignell, S. C., Bron, S., Brouillet, S., Bruschi, C. V., Caldwell, B., Capuano, V., Carter, N. M., Choi, S.-K., Codani, J.-J., Connerton, I. F., Cummings, N. J., Daniel, R. A., Denizot, F., Devine, K. M., Dusterhoft, A., Ehrlich, S. D., Emmerson, P. T., Entian, K. D., Errington, J., Fabret, C., Ferrari, E., Foulger, D., Fritz, C., Fujita, M., Fujita, Y., Fuma, S., Galizzi, A., Galleron, N., Ghim, S.-Y., Glaser, P., Goffeau, A., Golightly, E. J., Grandi, G., Guiseppi, G., Guy, B. J., Haga, K., Haiech, J., Harwood, C. R., Henaut, A., Hilbert, H., Holsappel, S., Hosono, S., Hullo, M.-F., Itaya, M., Jones, L., Joris, B., Karamata, D., Kasahara, Y., Klaerr-Blanchard, M., Klein, C., Kobayashi, Y., Koetter, P., Koningstein, G., Krogh, S., Kumano, M., Kurita, K., Lapidus, A., Lardinois, S., Lauber, J., Lazarevic, V., Lee, S.-M., Levine, A., Liu, H., Masuda, S., Mauel, C., Medigue, C., Medina, N., Mellado, R. P., Mizuno, M., Moestl, D., Nakai, S., Noback, M., Noone, D., O'Reilly, M., Ogawa, K., Ogiwara, A., Oudega, B., Park, S.-H., Parro, V., Pohl, T. M., Portetelle, D., Porwollik, S., Prescott, A. M., Presecan, E., Pujic, P., Purnelle, B., Rapoport, G., Rey, M., Reynolds, S., Rieger, M., Rivolta, C., Rocha, E., Roche, B., Rose, M., Sadaie, Y., Sato, T., Scanlan, E., Schleich, S., Schroeter, R., Scoffone, F., Sekiguchi, J., Sekowska, A., Seror, S. J., Serror, P., Shin, B.-S., Soldo, B., Sorokin, A., Tacconi, E., Takagi, T., Takahashi, H., Takemaru, K., Takeuchi, M., Tamakoshi, A., Tanaka, T., Terpstra, P., Tognoni, A., Tosato, V., Uchiyama, S., Vandenbol, M., Vannier, F., Vassarotti, A., Viari, A., Wambutt, R., Wedler, E., Wedler, H., Weitzenegger, T., Winters, P., Wipat, A., Yamamoto, H., Yamane, K., Yasumoto, K., Yata, K., Yoshida, K., Yoshikawa, H.-F., Zumstein, E., Yoshikawa, H., and Danchin, A.

Published
1997

14. A human gut microbial gene catalogue established by metagenomic sequencing

Author

Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., Yamada, Takuji, Mende, D. R., Li, J., Xu, J., Li, S., Li, D., Cao, J., Wang, B., Liang, H., Zheng, H., Xie, Y., Tap, J., Lepage, P., Bertalan, M., Batto, J. M., Hansen, T., Le Paslier, D., Linneberg, A., Nielsen, H. B., Pelletier, E., Renault, P., Sicheritz-Ponten, T., Turner, K., Zhu, H., Yu, C., Jian, M., Zhou, Y., Li, Y., Zhang, X., Qin, N., Yang, H., Wang, J., Brunak, S., Dor�, J., Guarner, F., Kristiansen, K., Pedersen, O., Parkhill, J., Weissenbach, J., Bork, P., Ehrlich, S. D., Consortium, MetaHIT, European Molecular Biology Laboratory [Heidelberg] (EMBL), Beijing Genomics Institute [Shenzhen] (BGI), Hagedorn Research Institute, Vrije Universiteit Brussel (VUB), Vall d'Hebron University Hospital [Barcelona], Institut National de la Recherche Agronomique (INRA), School of Software Engineering, Southern University of Science and Technology [Shenzhen] (SUSTech), Genome Research Institute, Shenzhen University Medical School, Center for Biological Sequence Analysis [Lyngby], Technical University of Denmark [Lyngby] (DTU), Center for Biological Sequence Analysis, Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Research Center for Prevention and Health, Glostrup Hospital, The Wellcome Trust Sanger Institute [Cambridge], Department of Biology [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Faculty of Health Sciences, Department of Biomedical Sciences [Copenhagen], Faculty of Health and Medical Sciences, MetaHIT Consortium, European Project: 201052,EC:FP7:HEALTH,FP7-HEALTH-2007-A,METAHIT(2008), Vrije Universiteit [Brussels] (VUB), Hospital Universitari Val d'Hebron, CIBERehd, Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, MetaGenoPolis, Southern University of Science and Technology (SUSTech), MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), and University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)

Subjects
intestinal microbiota, Adult, Denmark, Genomics, Bacterial genome size, Biology, Genome, Microbiology, diversity, Cohort Studies, 03 medical and health sciences, Contig Mapping, Feces, Open Reading Frames, Microbiologie, Humans, Obesity, fermentation, 030304 developmental biology, Inner mucus layer, VLAG, Genetics, 0303 health sciences, Multidisciplinary, Genes, Essential, Bacteria, 030306 microbiology, 16s ribosomal-rna, Human microbiome, alignment, Sequence Analysis, DNA, Overweight, Inflammatory Bowel Diseases, communities, Gastrointestinal Tract, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, host, Metagenomics, Genes, Bacterial, Health, Spain, networks, Metagenome, Enterotype, environment, Genome, Bacterial, Human Microbiome Project
Abstract

Udgivelsesdato: 2010-Mar-4 To understand the impact of gut microbes on human health and well-being it is crucial to assess their genetic potential. Here we describe the Illumina-based metagenomic sequencing, assembly and characterization of 3.3 million non-redundant microbial genes, derived from 576.7 gigabases of sequence, from faecal samples of 124 European individuals. The gene set, approximately 150 times larger than the human gene complement, contains an overwhelming majority of the prevalent (more frequent) microbial genes of the cohort and probably includes a large proportion of the prevalent human intestinal microbial genes. The genes are largely shared among individuals of the cohort. Over 99% of the genes are bacterial, indicating that the entire cohort harbours between 1,000 and 1,150 prevalent bacterial species and each individual at least 160 such species, which are also largely shared. We define and describe the minimal gut metagenome and the minimal gut bacterial genome in terms of functions present in all individuals and most bacteria, respectively.

Published
2010
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15. Specific gut microbiota features and metabolic markers in postmenopausal women with obesity

Author

Brahe, Lena Kirchner, Le Chatelier, E, Prifti, E, Pons, N, Kennedy, S, Hansen, Torben, Pedersen, Oluf Borbye, Astrup, Arne, Ehrlich, S D, Larsen, Lesli Hingstrup, University of Copenhagen = Københavns Universitet (KU), MetaGenoPolis, Institut National de la Recherche Agronomique (INRA), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), The Lundbeck Foundation Centre for Applied Medical Genomics in Personalized Disease Prediction, Prevention and Care and The Danish Dairy Board and Arla Foods amba provided financial support. Metagenopolis is funded by the Investissement d’Avenir grant ANR-11-DPBS-0001., We wish to thank the study participants and the staff from INRA/MetaGenoPolis: Florence Levenez and Joël Doré for sample preparation, Nathalie Galleron and Benoit Quinquis for microbiome sequencing, Jean-Michel Batto and Pierre Leonard for informatics. The study is part of The Lundbeck Foundation Centre for Applied Medical Genomics in Personalized Disease Prediction, Prevention and Care (www.LuCAMP.org)., ANR-11-DPBS-0001,MGP,MetaGenoPolis(2011), Brahe, L. K., and Le Chatelier, Emmanuelle

Subjects
Endocrinology, Diabetes and Metabolism, MEDLINE, Gut flora, Bioinformatics, digestive system, fluids and secretions, microbiote, Internal Medicine, Medicine, Obesity, 2. Zero hunger, Postmenopausal women, biology, Bacteria, business.industry, digestive, oral, and skin physiology, [SDV.MHEP.EM]Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism, medicine.disease, biology.organism_classification, stomatognathic diseases, obésité, activité métabolique, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Risk factors, Metabolic markers, femme menopausée, Original Article, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

Background: Gut microbial gene richness and specific bacterial species are associated with metabolic risk markers in humans, but the impact of host physiology and dietary habits on the link between the gut microbiota and metabolic markers remain unclear. The objective of this study was to identify gut metagenomic markers associated with estimates of insulin resistance, lipid metabolism and inflammation in obesity, and to explore whether the associations between metagenomic and metabolic markers persisted after adjustment for body fat, age and habitual dietary intake. Methods: Faecal DNA from 53 women with obesity was analysed through quantitative metagenomic sequencing and analysis, and a systematic search was performed for bacterial genes associated with estimates of insulin resistance, inflammation and lipid metabolism. Subsequently, the correlations between metagenomic species and metabolic markers were tested by linear regression models, with and without covariate adjustment. Results: One hundred and fourteen metagenomic species correlated with metabolic markers (PAkkermansia muciniphila, Bilophila wadsworthia, Bifidobacterium longum and Faecalibacterium prausnitzii, but also species not previously associated with metabolic markers including Bacteroides faecis and Dorea longicatena. The majority of the identified correlations between bacterial species and metabolic markers persisted after adjustment for differences in body fat, age and dietary macronutrient composition; however, the negative correlation with insulin resistance observed for B. longum and F. prausnitzii appeared to be modified by the intake of dietary fibre and fat, respectively. Conclusions: This study shows that several gut bacterial species are linked to metabolic risk markers in obesity, also after adjustment for potential confounders, such as long-term diet composition. The study supports the use of gut metagenomic markers for metabolic disease prediction and warrants further investigation of causality.

Published
2015
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16. Enterotypes of the human gut microbiome

Author

Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, Takuji, Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., Batto, J. M., Bertalan, M., Borruel, N., Casellas, F., Fernandez, L., Gautier, L., Hansen, T., Hattori, M., Hayashi, T., Kleerebezem, M., Kurokawa, K., Leclerc, M., Levenez, F., Manichanh, C., Nielsen, H. B., Nielsen, T., Pons, N., Poulain, J., Qin, J., Sicheritz-Ponten, T., Tims, S., Torrents, D., Ugarte, E., Zoetendal, E. G., Wang, J., Guarner, F., Pedersen, O., de Vos, W. M., Brunak, S., Dor�, J., Antol匤, M., Artiguenave, F., Blottiere, H. M., Almeida, M., Brechot, C., Cara, C., Chervaux, C., Cultrone, A., Delorme, C., Denariaz, G., Dervyn, R., Foerstner, K. U., Friss, C., van de Guchte, M., Guedon, E., Haimet, F., Huber, W., van Hylckama-Vlieg, J., Jamet, A., Juste, C., Kaci, G., Knol, J., Lakhdari, O., Layec, S., Le Roux, K., Maguin, E., M駻ieux, A., Melo Minardi, R., M'rini, C., Muller, J., Oozeer, R., Parkhill, J., Renault, P., Rescigno, M., Sanchez, N., Sunagawa, S., Torrejon, A., Turner, K., Vandemeulebrouck, G., Varela, E., Winogradsky, Y., Zeller, G., Weissenbach, J., Ehrlich, S. D., Bork, P., Consortium, MetaHIT, Microbiota Interaction with Human and Animal (MIHA), MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Institut National de la Recherche Agronomique (INRA)-AgroParisTech, AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), European Molecular Biology Laboratory [Heidelberg] (EMBL), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Center for Biological Sequence Analysis [Lyngby], Technical University of Denmark [Lyngby] (DTU), Digestive System Research Unit, Vall d'Hebron University Hospital [Barcelona], Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS), Centre Interlangues - Texte, Image, Langage (TIL), Université de Bourgogne (UB), Hagedorn Research Institute, Faculty of Health Sciences, University of Southern Denmark (SDU), NIZO [Ede, Netherlands], Institut National de la Recherche Agronomique (INRA), Génomique métabolique (UMR 8030), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Beijing Genomics Institute [Shenzhen] (BGI), Laboratory of Microbiology, Wageningen University and Research [Wageningen] (WUR), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Lundbeck Foundation Centre for Applied Medical Genomics in Personalized Disease Prediction, Prevention and Care (LuCAMP), Novo Nordisk Foundation, International Science and Technology Cooperation Project in China [0806], Agence Nationale de la Recherche (ANR), Institute for the encouragement of Scientific Research and Innovation of Brussels (ISRIB), Fund for Scientific Research Flanders (FWO), European Project: 201052,EC:FP7:HEALTH,FP7-HEALTH-2007-A,METAHIT(2008), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, NIZO FOOD RESEARCH (NIZO), Nizo food research, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), Wageningen University and Research Centre [Wageningen] (WUR), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Male, intestinal microbiota, catalog, obesity, [SDV]Life Sciences [q-bio], pathways, Biodiversity, Biology, Microbiology, Article, diversity, 03 medical and health sciences, Feces, Human gut, mucin, Phylogenetics, Microbiologie, Humans, bacterial, Microbiome, genes, Phylogeny, 030304 developmental biology, VLAG, 2. Zero hunger, 0303 health sciences, metagenomics, Multidisciplinary, Bacteria, colon, 030306 microbiology, Host (biology), Ecology, [SDV.MHEP.HEG]Life Sciences [q-bio]/Human health and pathology/Hépatology and Gastroenterology, Bacterial Typing Techniques, Europe, Intestines, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Evolutionary biology, Metagenomics, Metagenome, Enterotype, Biological Markers, Female, Biomarkers, Human Microbiome Project
Abstract

International audience; Our knowledge of species and functional composition of the human gut microbiome is rapidly increasing, but it is still based on very few cohorts and little is known about variation across the world. By combining 22 newly sequenced faecal metagenomes of individuals from four countries with previously published data sets, here we identify three robust clusters (referred to as enterotypes hereafter) that are not nation or continent specific. We also confirmed the enterotypes in two published, larger cohorts, indicating that intestinal microbiota variation is generally stratified, not continuous. This indicates further the existence of a limited number of well-balanced host-microbial symbiotic states that might respond differently to diet and drug intake. The enterotypes are mostly driven by species composition, but abundant molecular functions are not necessarily provided by abundant species, highlighting the importance of a functional analysis to understand microbial communities. Although individual host properties such as body mass index, age, or gender cannot explain the observed enterotypes, data-driven marker genes or functional modules can be identified for each of these host properties. For example, twelve genes significantly correlate with age and three functional modules with the body mass index, hinting at a diagnostic potential of microbial markers.

Published
2011
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17. Disruption of the sole Idhl gene in Lactobacillus sakei prevents the production of both L-and D-lactate

Author

Christine Malleret, Lauret, R., Ehrlich, S. D., Morel-Deville, F., Monique Zagorec, Laboratoire de recherches sur la viande, Institut National de la Recherche Agronomique (INRA), Unité de recherche Génétique Microbienne (UGM), and ProdInra, Migration

Subjects
[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, ACIDE LACTIQUE, [SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology
Published
1998

18. The kdgRKAT operon of Bacillus subtilis: Detection of the transcript and regulation by the kdgR and ccpA genes

Author

Petar Pujic, Rozenn Dervyn, Sorokin, A., Ehrlich, S. D., Unité de recherche Génétique Microbienne (UGM), Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, [SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology
Abstract

1 tables 4 graph.; International audience

Published
1998

19. In vivo relations between pAMbeta1-encoded type 1 topoisomerase and plasmid replication

Author

Vladimir Bidnenko, Ehrlich, S. D., Laurent Janniere, Unité de recherche Génétique Microbienne (UGM), Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, [SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology
Abstract

48 ref. 5 graph.

Published
1998

21. In vivo analysis of the plasmid pAMbeta1 rsolution system

Author

Laurent Janniere, Stephen Mc Govern, Pujol, C., Marie Agnes Petit, Ehrlich, S. D., Unité de recherche Génétique Microbienne (UGM), Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
RESOLUTION, [SDV.BBM.BC] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM], [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biomolecules [q-bio.BM]
Published
1996

23. Lethality of reprecB and repreC double mutants of Escherichia coli

Author

Marilyne Uzest, Ehrlich, S. D., Michel, B., ProdInra, Migration, Unité de recherche Génétique Microbienne (UGM), and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, REPARATION D'ADN, [SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology
Published
1995

24. Divergence of genomic sequences between Lactococcus Lactis subsp. lactis and Lactococcus lactis subsp. cremoris

Author

Jean-Jacques Godon, Christine Delorme, Ehrlich, S. D., Renault, P., ProdInra, Migration, Unité de recherche Génétique Microbienne (UGM), and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV.EE] Life Sciences [q-bio]/Ecology, environment, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1992

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