Dataset Information

Cottret2010_S_muelleri_Met_Net

ABSTRACT: This is metabolic network reconstruction of Sulcia muelleri described in the article Graph-Based Analysis of the Metabolic Exchanges between Two Co-Resident Intracellular Symbionts, Baumannia cicadellinicola and Sulcia muelleri, with Their Insect Host, Homalodisca coagulata. Cottret L, Milreu PV, Acuña V, Marchetti-Spaccamela A, Stougie L, Charles H, Sagot MF. PLoS Comput Biol. 2010 Sep 2;6(9). pii: e1000904. PMID: 20838465 , DOI: 10.1371/journal.pcbi.1000904 Abstract: Endosymbiotic bacteria from different species can live inside cells of the same eukaryotic organism. Metabolic exchanges occur between host and bacteria but also between different endocytobionts. Since a complete genome annotation is available for both, we built the metabolic network of two endosymbiotic bacteria, Sulcia muelleri and Baumannia cicadellinicola, that live inside specific cells of the sharpshooter Homalodisca coagulata and studied the metabolic exchanges involving transfers of carbon atoms between the three. We automatically determined the set of metabolites potentially exogenously acquired (seeds) for both metabolic networks. We show that the number of seeds needed by both bacteria in the carbon metabolism is extremely reduced. Moreover, only three seeds are common to both metabolic networks, indicating that the complementarity of the two metabolisms is not only manifested in the metabolic capabilities of each bacterium, but also by their different use of the same environment. Furthermore, our results show that the carbon metabolism of S. muelleri may be completely independent of the metabolic network of B. cicadellinicola. On the contrary, the carbon metabolism of the latter appears dependent on the metabolism of S. muelleri, at least for two essential amino acids, threonine and lysine. Next, in order to define which subsets of seeds (precursor sets) are sufficient to produce the metabolites involved in a symbiotic function, we used a graph-based method, PITUFO, that we recently developed. Our results highly refine our knowledge about the complementarity between the metabolisms of the two bacteria and their host. We thus indicate seeds that appear obligatory in the synthesis of metabolites are involved in the symbiotic function. Our results suggest both B. cicadellinicola and S. muelleri may be completely independent of the metabolites provided by the co-resident endocytobiont to produce the carbon backbone of the metabolites provided to the symbiotic system (ie., thr and lys are only exploited by B. cicadellinicola to produce its proteins). This model was downloaded as a supplement to the article. The id of the Aspartate aminotransferase reactions, ASPAMINOTRANS__45__RXN, was duplicated and had to be changed to ASPAMINOTRANS__45__RXN_a and ASPAMINOTRANS__45__RXN_b, indicating reactions associated witht the genes GO2720342 and SMGWSS_210_aspC, respectively, to make the model valid SBML. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Lukas Endler

PROVIDER: MODEL1011080000 | BioModels | 2005-01-01

REPOSITORIES: BioModels

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Publications

Graph-based analysis of the metabolic exchanges between two co-resident intracellular symbionts, Baumannia cicadellinicola and Sulcia muelleri, with their insect host, Homalodisca coagulata.

Cottret Ludovic L Milreu Paulo Vieira PV Acuña Vicente V Marchetti-Spaccamela Alberto A Stougie Leen L Charles Hubert H Sagot Marie-France MF

PLoS computational biology 20100902 9

Endosymbiotic bacteria from different species can live inside cells of the same eukaryotic organism. Metabolic exchanges occur between host and bacteria but also between different endocytobionts. Since a complete genome annotation is available for both, we built the metabolic network of two endosymbiotic bacteria, Sulcia muelleri and Baumannia cicadellinicola, that live inside specific cells of the sharpshooter Homalodisca coagulata and studied the metabolic exchanges involving transfers of carb ...[more]

PMID: 20838465

Similar Datasets

Project description:This is metabolic network reconstruction of Baumannia cicadellinicola described in the article Graph-Based Analysis of the Metabolic Exchanges between Two Co-Resident Intracellular Symbionts, Baumannia cicadellinicola and Sulcia muelleri, with Their Insect Host, Homalodisca coagulata. Cottret L, Milreu PV, Acuña V, Marchetti-Spaccamela A, Stougie L, Charles H, Sagot MF. PLoS Comput Biol. 2010 Sep 2;6(9). pii: e1000904. PMID: 20838465 , DOI: 10.1371/journal.pcbi.1000904 Abstract: Endosymbiotic bacteria from different species can live inside cells of the same eukaryotic organism. Metabolic exchanges occur between host and bacteria but also between different endocytobionts. Since a complete genome annotation is available for both, we built the metabolic network of two endosymbiotic bacteria, Sulcia muelleri and Baumannia cicadellinicola, that live inside specific cells of the sharpshooter Homalodisca coagulata and studied the metabolic exchanges involving transfers of carbon atoms between the three. We automatically determined the set of metabolites potentially exogenously acquired (seeds) for both metabolic networks. We show that the number of seeds needed by both bacteria in the carbon metabolism is extremely reduced. Moreover, only three seeds are common to both metabolic networks, indicating that the complementarity of the two metabolisms is not only manifested in the metabolic capabilities of each bacterium, but also by their different use of the same environment. Furthermore, our results show that the carbon metabolism of S. muelleri may be completely independent of the metabolic network of B. cicadellinicola. On the contrary, the carbon metabolism of the latter appears dependent on the metabolism of S. muelleri, at least for two essential amino acids, threonine and lysine. Next, in order to define which subsets of seeds (precursor sets) are sufficient to produce the metabolites involved in a symbiotic function, we used a graph-based method, PITUFO, that we recently developed. Our results highly refine our knowledge about the complementarity between the metabolisms of the two bacteria and their host. We thus indicate seeds that appear obligatory in the synthesis of metabolites are involved in the symbiotic function. Our results suggest both B. cicadellinicola and S. muelleri may be completely independent of the metabolites provided by the co-resident endocytobiont to produce the carbon backbone of the metabolites provided to the symbiotic system (ie., thr and lys are only exploited by B. cicadellinicola to produce its proteins). This model was downloaded as a supplement to the article. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

Project description:In order to provide information about the gene expression response that occurs when cells experience a change in carbon source, succinate limited chemostat cultures of Methylobacterium extorquens AM1 were grown to and maintained at an OD of ~0.63, transferred to flasks and methanol was added. Cells were harvested for RNA extraction at time: 0 min, 10 min, 30 min, 1 hr, 2 hr, 4 hr and 6 hr post transition. At 30 min, a no methanol addition sample was extracted as a carbon starvation control. These data were used in conjunction with flux, enzymatic and metabolite measurements to assess the changes in central metabolism during this transition. Abstract from manuscript: When organisms experience environmental change, how does their metabolic network reset and adapt to the new condition? This study focused on the mechanisms of metabolic adaptation occurring during the transition from succinate to methanol growth by the methylotrophic bacterium Methylobacterium extorquens, analyzing changes in carbon flux, gene expression, metabolites and enzymatic activities over time. Initially, cells experienced metabolic imbalance with excretion of metabolites, changes in nucleotide levels and cessation of cell growth. Though assimilatory pathways were induced rapidly, a transient block in carbon flow to biomass synthesis occurred, and enzymatic assays suggested methylenetetrahydrofolate dehydrogenase as one control point. This “downstream priming” mechanism ensures that significant carbon flux through these pathways does not occur until they are fully induced, precluding the buildup of toxic intermediates. Most metabolites that are required for growth on both carbon sources did not change significantly, even though transcripts and enzymatic activities required for their production changed radically, underscoring the concept of metabolic setpoints. Gene expression in succinate limited chemostat cultures was compared to gene expression in cells transferred to flasks before and after methanol addition. As a control, a time = 0 sample (RNA prepared from cells harvested directly from the chemostat) was compared to a time = 0 sample immediately obtained after the cells were transferred to flasks, before methanol was added in order to identify changes due to flask transfer. A carbon starvation control was also done comparing expression from time = 0 (chemostat cells) to cells transferred to flasks for 30 min with no carbon source added. Two biological replicates each with two techinal replicates (dye swap) were analyzed for time = 0 (chemostat) vs 10 min, 30 min, 1 hr and 2 hr after methanol addition. One biological replicate with two technical replicates (dye swap) were analyzed for time = 0 (chemostat) vs time = 0 (flask transfer), and time = 0 (chemostat) vs time = 4 hr, 6 hr and 30 min no methanol addition.

Dataset Information

Cottret2010_S_muelleri_Met_Net

Publications

Graph-based analysis of the metabolic exchanges between two co-resident intracellular symbionts, Baumannia cicadellinicola and Sulcia muelleri, with their insect host, Homalodisca coagulata.

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