Determinants of the temperature adaptation of mRNA degradation.
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ABSTRACT:
SUBMITTER: Jaquet V
PROVIDER: S-EPMC8789057 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The pathogenic fungus Cryptococcus neoformans must overcome multiple stressors to cause disease in its human host. In this study, we report that C. neoformans rapidly and transiently repressed ribosomal protein (RP) transcripts during a transition from 30°C to host temperature. This repression was accompanied by accelerated mRNA degradation mediated by the major deadenylase, Ccr4, and influenced by the dissociable RNA polymerase II subunit, Rpb4. Destabilization and deadenylation of RP transcripts were impaired in an rpb4Δ mutant, suggesting that Rpb4 may be involved in host temperature-induced Ccr4-mediated decay. Accelerated decay of ER stress transcripts 1 h following a shift to host temperature was also impaired in the rpb4Δ mutant. In response to host temperature, Rpb4 moved from the nucleus to the cytoplasm, supporting a role for Rpb4 in coupling transcription and degradation. The PKH signalling pathway was implicated as a regulator of accelerated degradation of the RP transcripts, but not of the ER stress transcripts, revealing a further level of specificity. When transcription and degradation were uncoupled by deletion of Rpb4, growth at host temperature was impaired and virulence was attenuated. These data suggest that mRNA synthesis and decay are coupled in C. neoformans via Rpb4, and this tight coordination promotes host-temperature adaptation and pathogenicity.
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Project description:BackgroundDegradation rate is a fundamental aspect of mRNA metabolism, and the factors governing it remain poorly characterized. Understanding the genetic and biochemical determinants of mRNA half-life would enable more precise identification of variants that perturb gene expression through post-transcriptional gene regulatory mechanisms.ResultsWe establish a compendium of 39 human and 27 mouse transcriptome-wide mRNA decay rate datasets. A meta-analysis of these data identified a prevalence of technical noise and measurement bias, induced partially by the underlying experimental strategy. Correcting for these biases allowed us to derive more precise, consensus measurements of half-life which exhibit enhanced consistency between species. We trained substantially improved statistical models based upon genetic and biochemical features to better predict half-life and characterize the factors molding it. Our state-of-the-art model, Saluki, is a hybrid convolutional and recurrent deep neural network which relies only upon an mRNA sequence annotated with coding frame and splice sites to predict half-life (r=0.77). The key novel principle learned by Saluki is that the spatial positioning of splice sites, codons, and RNA-binding motifs within an mRNA is strongly associated with mRNA half-life. Saluki predicts the impact of RNA sequences and genetic mutations therein on mRNA stability, in agreement with functional measurements derived from massively parallel reporter assays.ConclusionsOur work produces a more robust ground truth for transcriptome-wide mRNA half-lives in mammalian cells. Using these revised measurements, we trained Saluki, a model that is over 50% more accurate in predicting half-life from sequence than existing models. Saluki succinctly captures many of the known determinants of mRNA half-life and can be rapidly deployed to predict the functional consequences of arbitrary mutations in the transcriptome.
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Project description:The isolation and culture of metabolically active hepatocytes by proteolytic digestion of the extracellular matrix of the liver results in the transcriptional silencing of liver-specific genes encoding cytochromes P-450 (CYP) and albumin together with an induction of cellular RNase activity. The levels of albumin mRNA are maintained in cultured hepatocytes at similar levels to that present in the intact liver for at least 24 h, whereas the major constitutively expressed CYP2C11 mRNA is rapidly degraded. Hepatocytes heat-shocked at 40 degrees C during the isolation procedure (which results in an induction of heat-shock protein mRNA species) blocks the increase in RNase activity and abrogates the loss of CYP2C11 mRNA for at least 4 h. Cycloheximide-dependent inhibition of protein synthesis blocks the temperature-dependent induction of heat-shock proteins without affecting the protection afforded to CYP2C11 mRNA, indicating that CYP2C11 mRNA levels are not directly dependent on heat-shock protein induction and suggesting that the induction of RNase activity might be responsible for the specific loss of CYP2C11 mRNA in hepatocytes isolated at 37 degrees C. Differential rates of degradation of CYP2C11 transcribed in vitro and of albumin mRNA are observed in the presence of cellular extracts from cultured hepatocytes isolated at 37 degrees C (which have maximally induced levels of cellular RNase activity) but not in comparable extracts from cultured hepatocytes isolated at 40 degrees C, supporting the hypothesis that an RNase activity is induced in culture that specifically degrades CYP2C11 mRNA but not albumin mRNA. These results suggest that an early event in hepatocyte de-differentiation involves the induction of RNase activity in addition to transcriptional silencing of liver-specific genes and that the induced RNase activity demonstrates specificity within liver-specific gene products.
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Project description:Heat stress is one of the extreme weather disasters potently decreasing cereal plant production. Recent studies have demonstrated that protein degradation and rRNA homeostasis as well as transcription factors are involved in thermoresponse in plants. However, how 5-methylcytosine (m5C) RNA modification contribute to heat stress response in plant remains largely unknown. Herein, we identified OsNSUN2 as the mRNA m5C methyltransferase in rice. The osnsun2 mutants specifically displayed severe phenotypes of temperature- and light-dependent lesion mimic and heat stress hypersensitivity. Heat stress enhanced mRNAs m5C methylation involving photosynthesis and detoxification systems, such as β-OsLCY, OsHO2, OsPAL1, and OsGLYI4, in an OsNSUN2-dependent manner, which then increased the protein synthesis. Consistently, the photosystem of the osnsun2 mutants was vulnerable to high ambient temperature and failed to be repaired under tolerable heat stress. Furthermore, OsNSUN2 mutation reduced photosynthesis efficiency and accumulated excessive reactive oxygen species upon heat treatment. Our findings demonstrate an important mechanism of mRNA m5C-dependent heat acclimation in rice.
2020-04-15 | PXD017187 | Pride
Project description:We are reporting here the effects of adaptation to different ambient temperatures in the whole genome gene expression of interscapular BAT
2017-11-10 | GSE96680 | GEO
Project description:Lack of immunocompetent animal models for hepatitis C virus (HCV) impedes vaccine development and studies of immune responses. Norway rat hepacivirus (NrHV) infection in rats shares HCV-defining characteristics, including hepatotropism, chronicity, immune responses, and aspects of pathology. To exploit genetic variants and research tools, we previously adapted NrHV to prolonged infection in laboratory mice. Through intrahepatic RNA inoculation of molecular clones of identified variants, we here characterized four mutations in the envelope proteins responsible for mouse adaptation, including one disrupting a glycosylation site. These mutations led to high titer viremia, similar to that observed in rats. In 4-week-old mice, infection was cleared after around 5 weeks compared to 2-3 weeks for non-adapted virus. In contrast, the mutations led to persistent but attenuated infection in rats, and they partially reverted accompanied by an increase in viremia. Attenuated infection in rat but not mouse hepatoma cells demonstrated that the characterized mutations were indeed mouse adaptive rather than generally enhancing fitness in both cell lines, and that species determinants and not immune interactions were responsible for attenuation in rats. Unlike persistent NrHV infection in rats, acute resolving infection in mice was not associated with development of neutralizing antibodies. Finally, infection of scavenger receptor B-I (SR-BI) knockout mice suggested that adaptation to mouse SR-BI was not a primary function of the identified mutations. Rather, the virus may have adapted to lower dependency on SR-BI, thereby potentially surpassing species-specific differences. In conclusion, we identified specific determinants of NrHV mouse adaptation, suggesting species-specific interactions during entry.
2023-02-27 | GSE225619 | GEO
Project description:In this study, we performed a global quantitative proteomic analysis under extreme temperatures, pH, hydrostatic pressure (HP) and salinity on an archaeal strain, Thermococcus eurythermalis A501. Here is the result of temperature adaptation: low temperature (65°C) and high temperature (95°C), and the optimal culture condition (85°C, pH 7, 2.3% NaCl, 0.1 MPa or 10 MPa) was used as the control.
2020-09-09 | PXD018991 | Pride
Project description:BackgroundTemperature strongly affects microbial growth, and many microorganisms have to deal with temperature fluctuations in their natural environment. To understand regulation strategies that underlie microbial temperature responses and adaptation, we studied glycolytic pathway kinetics in Saccharomyces cerevisiae during temperature changes.ResultsSaccharomyces cerevisiae was grown under different temperature regimes and glucose availability conditions. These included glucose-excess batch cultures at different temperatures and glucose-limited chemostat cultures, subjected to fast linear temperature shifts and circadian sinoidal temperature cycles. An observed temperature-independent relation between intracellular levels of glycolytic metabolites and residual glucose concentration for all experimental conditions revealed that it is the substrate availability rather than temperature that determines intracellular metabolite profiles. This observation corresponded with predictions generated in silico with a kinetic model of yeast glycolysis, when the catalytic capacities of all glycolytic enzymes were set to share the same normalized temperature dependency.ConclusionsFrom an evolutionary perspective, such similar temperature dependencies allow cells to adapt more rapidly to temperature changes, because they result in minimal perturbations of intracellular metabolite levels, thus circumventing the need for extensive modification of enzyme levels.
| S-EPMC3554419 | biostudies-literature
Project description:A major rationale for the advocacy of epigenetically mediated adaptive responses is that they facilitate faster adaptation to environmental challenges. This motivated us to develop a theoretical-experimental framework for disclosing the presence of such adaptation-speeding mechanisms in an experimental evolution setting circumventing the need for pursuing costly mutation-accumulation experiments. To this end, we exposed clonal populations of budding yeast to a whole range of stressors. By growth phenotyping, we found that almost complete adaptation to arsenic emerged after a few mitotic cell divisions without involving any phenotypic plasticity. Causative mutations were identified by deep sequencing of the arsenic-adapted populations and reconstructed for validation. Mutation effects on growth phenotypes, and the associated mutational target sizes were quantified and embedded in data-driven individual-based evolutionary population models. We found that the experimentally observed homogeneity of adaptation speed and heterogeneity of molecular solutions could only be accounted for if the mutation rate had been near estimates of the basal mutation rate. The ultrafast adaptation could be fully explained by extensive positive pleiotropy such that all beneficial mutations dramatically enhanced multiple fitness components in concert. As our approach can be exploited across a range of model organisms exposed to a variety of environmental challenges, it may be used for determining the importance of epigenetic adaptation-speeding mechanisms in general.
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Project description:There have been considerable attempts in the past to relate phenotypic trait--habitat temperature of organisms--to their genotypes, most importantly compositions of their genomes and proteomes. However, despite accumulation of anecdotal evidence, an exact and conclusive relationship between the former and the latter has been elusive. We present an exhaustive study of the relationship between amino acid composition of proteomes, nucleotide composition of DNA, and optimal growth temperature (OGT) of prokaryotes. Based on 204 complete proteomes of archaea and bacteria spanning the temperature range from -10 degrees C to 110 degrees C, we performed an exhaustive enumeration of all possible sets of amino acids and found a set of amino acids whose total fraction in a proteome is correlated, to a remarkable extent, with the OGT. The universal set is Ile, Val, Tyr, Trp, Arg, Glu, Leu (IVYWREL), and the correlation coefficient is as high as 0.93. We also found that the G + C content in 204 complete genomes does not exhibit a significant correlation with OGT (R = -0.10). On the other hand, the fraction of A + G in coding DNA is correlated with temperature, to a considerable extent, due to codon patterns of IVYWREL amino acids. Further, we found strong and independent correlation between OGT and the frequency with which pairs of A and G nucleotides appear as nearest neighbors in genome sequences. This adaptation is achieved via codon bias. These findings present a direct link between principles of proteins structure and stability and evolutionary mechanisms of thermophylic adaptation. On the nucleotide level, the analysis provides an example of how nature utilizes codon bias for evolutionary adaptation to extreme conditions. Together these results provide a complete picture of how compositions of proteomes and genomes in prokaryotes adjust to the extreme conditions of the environment.
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