HNI9/IWS1 mutant transcriptome in nitrogen-contrasted environments
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ABSTRACT:
ORGANISM(S): Arabidopsis thaliana
PROVIDER: GSE24738 | GEO | 2011/03/01
SECONDARY ACCESSION(S): PRJNA132431
REPOSITORIES: GEO
Similar Datasets
Project description:Effect of the high nitrogen insensitive 9 (hni9) mutation in contrasted nitrogen environments. hni9 vs. WT, and Low Nitrogen vs. High Nitrogen environments. 2 biological replicates per genotype/environment.
2011-03-01 | E-GEOD-24738 | biostudies-arrayexpress
Project description:HNI9/IWS1 mutant transcriptome in nitrogen-contrasted environments
| PRJNA132431 | ENA
Project description:One of the central goals of evolutionary biology is to explain and predict the molecular basis of adaptive evolution. We studied the evolution of genetic networks in Saccharomyces cerevisiae (budding yeast) populations propagated for more than 200 generations in different nitrogen-limiting conditions. We find that rapid adaptive evolution in nitrogen-poor environments is dominated by the de novo generation and selection of copy number variants (CNVs), a large fraction of which contain genes encoding specific nitrogen transporters including PUT4, DUR3 and DAL4. The large fitness increases associated with these alleles limits the genetic heterogeneity of adapting populations even in environments with multiple nitrogen sources. Complete identification of acquired point mutations, in individual lineages and entire populations, identified heterogeneity at the level of genetic loci but common themes at the level of functional modules, including genes controlling phosphatidylinositol-3-phosphate metabolism and vacuole biogenesis. Adaptive strategies shared with other nutrient-limited environments point to selection of genetic variation in the TORC1 and Ras/PKA signaling pathways as a general mechanism underlying improved growth in nutrient-limited environments. Within a single population we observed the repeated independent selection of a multi-locus genotype, comprised of the functionally related genes GAT1, MEP2 and LST4. By studying the fitness of individual alleles, and their combination, as well as the evolutionary history of the evolving population, we find that the order in which these mutations are acquired is constrained by epistasis. The identification of repeatedly selected variation at functionally related loci that interact epistatically suggests that gene network polymorphisms (GNPs) may be a frequent outcome of adaptive evolution. Our results provide insight into the mechanistic basis by which cells adapt to nutrient-limited environments and suggest that knowledge of the selective environment and the regulatory mechanisms important for growth and survival in that environment greatly increases the predictability of adaptive evolution.
2013-11-28 | GSE52786 | GEO
Project description:One of the central goals of evolutionary biology is to explain and predict the molecular basis of adaptive evolution. We studied the evolution of genetic networks in Saccharomyces cerevisiae (budding yeast) populations propagated for more than 200 generations in different nitrogen-limiting conditions. We find that rapid adaptive evolution in nitrogen-poor environments is dominated by the de novo generation and selection of copy number variants (CNVs), a large fraction of which contain genes encoding specific nitrogen transporters including PUT4, DUR3 and DAL4. The large fitness increases associated with these alleles limits the genetic heterogeneity of adapting populations even in environments with multiple nitrogen sources. Complete identification of acquired point mutations, in individual lineages and entire populations, identified heterogeneity at the level of genetic loci but common themes at the level of functional modules, including genes controlling phosphatidylinositol-3-phosphate metabolism and vacuole biogenesis. Adaptive strategies shared with other nutrient-limited environments point to selection of genetic variation in the TORC1 and Ras/PKA signaling pathways as a general mechanism underlying improved growth in nutrient-limited environments. Within a single population we observed the repeated independent selection of a multi-locus genotype, comprised of the functionally related genes GAT1, MEP2 and LST4. By studying the fitness of individual alleles, and their combination, as well as the evolutionary history of the evolving population, we find that the order in which these mutations are acquired is constrained by epistasis. The identification of repeatedly selected variation at functionally related loci that interact epistatically suggests that gene network polymorphisms (GNPs) may be a frequent outcome of adaptive evolution. Our results provide insight into the mechanistic basis by which cells adapt to nutrient-limited environments and suggest that knowledge of the selective environment and the regulatory mechanisms important for growth and survival in that environment greatly increases the predictability of adaptive evolution.
2013-11-28 | GSE52696 | GEO
Project description:One of the central goals of evolutionary biology is to explain and predict the molecular basis of adaptive evolution. We studied the evolution of genetic networks in Saccharomyces cerevisiae (budding yeast) populations propagated for more than 200 generations in different nitrogen-limiting conditions. We find that rapid adaptive evolution in nitrogen-poor environments is dominated by the de novo generation and selection of copy number variants (CNVs), a large fraction of which contain genes encoding specific nitrogen transporters including PUT4, DUR3 and DAL4. The large fitness increases associated with these alleles limits the genetic heterogeneity of adapting populations even in environments with multiple nitrogen sources. Complete identification of acquired point mutations, in individual lineages and entire populations, identified heterogeneity at the level of genetic loci but common themes at the level of functional modules, including genes controlling phosphatidylinositol-3-phosphate metabolism and vacuole biogenesis. Adaptive strategies shared with other nutrient-limited environments point to selection of genetic variation in the TORC1 and Ras/PKA signaling pathways as a general mechanism underlying improved growth in nutrient-limited environments. Within a single population we observed the repeated independent selection of a multi-locus genotype, comprised of the functionally related genes GAT1, MEP2 and LST4. By studying the fitness of individual alleles, and their combination, as well as the evolutionary history of the evolving population, we find that the order in which these mutations are acquired is constrained by epistasis. The identification of repeatedly selected variation at functionally related loci that interact epistatically suggests that gene network polymorphisms (GNPs) may be a frequent outcome of adaptive evolution. Our results provide insight into the mechanistic basis by which cells adapt to nutrient-limited environments and suggest that knowledge of the selective environment and the regulatory mechanisms important for growth and survival in that environment greatly increases the predictability of adaptive evolution. mRNA from each evolved clone or from the ancestral strain growing in the specificied nitrogen-limited condition was co-hybridized with mRNA from the ancestral strain grown in ammonium limited media
2013-11-28 | E-GEOD-52786 | biostudies-arrayexpress
Project description:affy_nitrogen_medicago - affy_nitrogen_medicago - Experiment has been designed to characterize the molecular expression patterns associated to a contrasted modification of the nitrogen status of the whole plant. The systemic effects of nitrogen status modifications are investigated and compared on non nodulated plant supplied with NO3, NH4 or nodulated plants (Sinorhizobium meliloti 2011) supplied with air. The root systems were separated in two compartments of unequal sizes (split root system). Two treatments were applied on the larger compartment in order to modulate the nitrogen status of the plant: for the S treatment, roots are supplied with nutrient solution containing 10 mM NH4NO3,, whereas for the C treatment, roots are supplied with nitrogen free medium. In the case of N2 fixing plants, N limitation was obtained by replacing air by a mixture of Ar and O2 80 per cent and 20 per cent. The effects of these treatments were investigated on roots of the minor compartment supplied continuously with either NO3 1 mM, NH4 1 mM or air (N2) and on the shoots. We were also interested in the molecular expression patterns associated to the roots deprived of N.-The root system of non-nodulated (NO3- and NH4+) or nodulated (N2) plants is split into two unequal parts and each one is installed in a separate compartment. For the S treatement, the major root part is supplied with NH4NO3 10 mM whereas the minor part is supplied with either NO3- 1mM, NH4+ 1mM or N2. For the C treatement, the major root part is supplied with nitrogen-free nutrient solution whereas the minor part is supplied with either NO3- 1mM, NH4plus 1mM or N2. Each treatement is four days long. Samples of roots of six biological types (NO3S, NO3C, NH4S, NH4C, N2S and N2C) were collected. Two biological repeats per biological types have been analyzed. The effect of the S and C treatments were investigated for each N sources by comparing Affymetrix transcriptomes (NO3C vs NO3S, NH4C vs NH4S, N2C vs N2S). Keywords: treatement (nitrogen-sufficient) vs treatement (nitrogen-limited)
2007-12-31 | GSE9818 | GEO
Project description:One of the central goals of evolutionary biology is to explain and predict the molecular basis of adaptive evolution. We studied the evolution of genetic networks in Saccharomyces cerevisiae (budding yeast) populations propagated for more than 200 generations in different nitrogen-limiting conditions. We find that rapid adaptive evolution in nitrogen-poor environments is dominated by the de novo generation and selection of copy number variants (CNVs), a large fraction of which contain genes encoding specific nitrogen transporters including PUT4, DUR3 and DAL4. The large fitness increases associated with these alleles limits the genetic heterogeneity of adapting populations even in environments with multiple nitrogen sources. Complete identification of acquired point mutations, in individual lineages and entire populations, identified heterogeneity at the level of genetic loci but common themes at the level of functional modules, including genes controlling phosphatidylinositol-3-phosphate metabolism and vacuole biogenesis. Adaptive strategies shared with other nutrient-limited environments point to selection of genetic variation in the TORC1 and Ras/PKA signaling pathways as a general mechanism underlying improved growth in nutrient-limited environments. Within a single population we observed the repeated independent selection of a multi-locus genotype, comprised of the functionally related genes GAT1, MEP2 and LST4. By studying the fitness of individual alleles, and their combination, as well as the evolutionary history of the evolving population, we find that the order in which these mutations are acquired is constrained by epistasis. The identification of repeatedly selected variation at functionally related loci that interact epistatically suggests that gene network polymorphisms (GNPs) may be a frequent outcome of adaptive evolution. Our results provide insight into the mechanistic basis by which cells adapt to nutrient-limited environments and suggest that knowledge of the selective environment and the regulatory mechanisms important for growth and survival in that environment greatly increases the predictability of adaptive evolution. DNA from each evolved clone or population is hybridized vs DNA from the ancestral strain
2013-11-28 | E-GEOD-52696 | biostudies-arrayexpress
Project description:To investigate the effect that biological nitrogen fixation will have on plant responses to nitrogen dose at elevated CO2, alfalfa (Medicago sativa) lines were grown at three nitrogen doses and ambient or elevated CO2. Four lines were used in the study, two lines that can form nodules capable of fixing nitrogen (effective lines) and two lines that can not form nodules capable of nitrogen fixation (ineffective lines). The ineffective lines are the result of a complementary mutation in the same gene.
2024-02-26 | GSE244008 | GEO
Project description:BACKGROUND: The ability to adapt to environments with fluctuating nutrient availability is vital for bacterial survival. Although essential for growth, few nitrogen metabolism genes have been identified or fully characterised in mycobacteria and nitrogen stress survival mechanisms are unknown. RESULTS: A global transcriptional analysis of the mycobacterial response to nitrogen stress, showed a significant change in the differential expression of 16% of the Mycobacterium smegmatis genome. Gene expression changes were mapped onto the metabolic network using Active Modules for Bipartite Networks (AMBIENT) to identify metabolic pathways showing coordinated transcriptional responses to the stress. AMBIENT revealed several key features of the metabolic response not identified by KEGG enrichment alone. Down regulated reactions were associated with the general reduction in cellular metabolism as a consequence of reduced growth rate. Up-regulated modules highlighted metabolic changes in nitrogen assimilation and scavenging, as well as reactions involved in hydrogen peroxide metabolism, carbon scavenging and energy generation. CONCLUSIONS: Application of an Active Modules algorithm to transcriptomic data identified key metabolic reactions and pathways altered in response to nitrogen stress, which are central to survival under nitrogen limiting environments. [Data is also available from http://bugs.sgul.ac.uk/E-BUGS-140]
2013-06-10 | E-BUGS-140 | biostudies-arrayexpress
Project description:In order to identify possible RNAs regulated by small RNA NsiR3 we have analyzed the responses to nitrogen removal in a mutant lacking nsiR3 (ΔnsiR3). RNA samples were isolated from cells growing in the presence of combined nitrogen (ammonium) or after 8 h of nitrogen deprivation.
2020-08-25 | GSE150191 | GEO