scholarly journals EMERGENT NETWORK STRUCTURE, EVOLVABLE ROBUSTNESS, AND NONLINEAR EFFECTS OF POINT MUTATIONS IN AN ARTIFICIAL GENOME MODEL

2009 ◽  
Vol 12 (03) ◽  
pp. 293-310 ◽  
Author(s):  
THIMO ROHLF ◽  
CHRISTOPHER R. WINKLER

Genetic regulation is a key component in development, but a clear understanding of the structure and dynamics of genetic networks is not yet at hand. In this paper we investigate these properties within an artificial genome model originally introduced by Reil [Proc. 5th European Conf. Artificial Life (Springer, 1999), pp. 457–466]. We analyze statistical properties of randomly generated genomes both on the sequence and network level, and show that this model correctly predicts the frequency of genes in genomes as found in experimental data. Using an evolutionary algorithm based on stabilizing selection for a phenotype, we show that dynamical robustness against single base mutations, as against random changes in initial states of regulatory dynamics that mimic stochastic fluctuations in environmental conditions, can emerge in parallel. Point mutations at the sequence level can have strongly nonlinear effects on network wiring, including structurally neutral mutations and simultaneous rewiring of multiple connections, which occasionally lead to strong reorganization of the attractor landscape and metastability of evolutionary dynamics. Similar to real genomes, evolved artificial genomes exhibit both highly conserved regions, as well as regions that are characterized by a high rate of accepted base substitutions.

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Alain R. Bonny ◽  
João Pedro Fonseca ◽  
Jesslyn E. Park ◽  
Hana El-Samad

AbstractStochastic fluctuations at the transcriptional level contribute to isogenic cell-to-cell heterogeneity in mammalian cell populations. However, we still have no clear understanding of the repercussions of this heterogeneity, given the lack of tools to independently control mean expression and variability of a gene. Here, we engineer a synthetic circuit to modulate mean expression and heterogeneity of transgenes and endogenous human genes. The circuit, a Tunable Noise Rheostat (TuNR), consists of a transcriptional cascade of two inducible transcriptional activators, where the output mean and variance can be modulated by two orthogonal small molecule inputs. In this fashion, different combinations of the inputs can achieve the same mean but with different population variability. With TuNR, we achieve low basal expression, over 1000-fold expression of a transgene product, and up to 7-fold induction of the endogenous gene NGFR. Importantly, for the same mean expression level, we are able to establish varying degrees of heterogeneity in expression within an isogenic population, thereby decoupling gene expression noise from its mean. TuNR is therefore a modular tool that can be used in mammalian cells to enable direct interrogation of the implications of cell-to-cell variability.


2021 ◽  
Author(s):  
Carmen Ortega-Sabater ◽  
Gabriel Fernandez-Calvo ◽  
Víctor M Pérez-García

Evolutionary dynamics allows to understand many changes happening in a broad variety of biological systems, ranging from individuals to complete ecosystems. It is also behind a number of remarkable organizational changes that happen during the natural history of cancers. These reflect tumour heterogeneity, which is present at all cellular levels, including the genome, proteome and phenome, shaping its development and interrelation with its environment. An intriguing observation in different cohorts of oncological patients is that tumours exhibit an increased proliferation as the disease progresses, while the timescales involved are apparently too short for the fixation of sufficient driver mutations to promote an explosive growth. In this paper we discuss how phenotypic plasticity, emerging from a single genotype, may play a key role and provide a ground for a continuous acceleration of the proliferation rate of clonal populations with time. Here we address this question by means of stochastic and deterministic mathematical models that capture proliferation trait heterogeneity in clonal populations and elucidate the contribution of phenotypic transitions on tumour growth dynamics.


2020 ◽  
Author(s):  
Shadi Zabad ◽  
Alan M Moses

AbstractWe study the evolution of quantitative molecular traits in the absence of selection. Using a simple theory based on Felsenstein’s 1981 DNA substitution model, we predict a linear restoring force on the mean of an additive phenotype. Remarkably, the mean dynamics are independent of the effect sizes and genotype and are similar to the widely-used OU model for stabilizing selection. We confirm the predictions empirically using additive molecular phenotypes calculated from ancestral reconstructions of putatively unconstrained DNA sequences in primate genomes. We show that the OU model is favoured by inference software even when applied to GC content of unconstrained sequences or simulations of DNA evolution. We predict and confirm empirically that the dynamics of the variance are more complicated than those predicted by the OU model, and show that our results for the restoring force of mutation hold even for non-additive phenotypes, such as number of transcription factor binding sites, longest encoded peptide and folding propensity of the encoded peptide. Our results have implications for efforts to infer selection based on quantitative phenotype dynamics as well as to understand long-term trends in evolution of quantitative molecular traits.


2019 ◽  
Vol 11 (11) ◽  
pp. 3207-3217
Author(s):  
Enrico Sandro Colizzi ◽  
Paulien Hogeweg

Abstract Clashes between transcription and replication complexes can cause point mutations and chromosome rearrangements on heavily transcribed genes. In eukaryotic ribosomal RNA genes, the system that prevents transcription–replication conflicts also causes frequent copy number variation. Such fast mutational dynamics do not alter growth rates in yeast and are thus selectively near neutral. It was recently found that yeast regulates these mutations by means of a signaling cascade that depends on the availability of nutrients. Here, we investigate the long-term evolutionary effect of the mutational dynamics observed in yeast. We developed an in silico model of single-cell organisms whose genomes mutate more frequently when transcriptional load is larger. We show that mutations induced by high transcriptional load are beneficial when biased toward gene duplications and deletions: they decrease mutational load even though they increase the overall mutation rates. In contrast, genome stability is compromised when mutations are not biased toward gene duplications and deletions, even when mutations occur much less frequently. Taken together, our results show that the mutational dynamics observed in yeast are beneficial for the long-term stability of the genome and pave the way for a theory of evolution where genetic operators are themselves cause and outcome of the evolutionary dynamics.


1991 ◽  
Vol 71 (4) ◽  
pp. 1460-1468 ◽  
Author(s):  
A. Bidani ◽  
T. A. Heming

The importance of perfusate nonbicarbonate buffer capacity (beta nonHCO3) to intracapillary CO2-HCO3(-)-H+ reactions was assessed by theoretical analysis of CO2 exchange in saline-perfused pulmonary capillaries. Time courses for perfusate PCO2, [HCO3-], and [H+] were computed for capillaries containing different activities of luminal vascular carbonic anhydrase and different amounts of perfusate nonbicarbonate buffers. Mobilization of perfusate HCO3- toward CO2 during capillary transit is determined by the availability of HCO3- and H+. A supply of protons from the nonbicarbonate buffer pool is necessary to maintain a high rate of HCO3- dehydration. The analyses indicate that beta nonHCO3 has marked nonlinear effects on transcapillary CO2 exchange and intravascular pH equilibration. These nonlinear effects differ from those previously computed for CO2 reactions in an open system because the present model system consists of a sequential combination of open (within capillary proper) and closed (within postcapillary vasculature) systems. The role of luminal vascular carbonic anhydrase in capillary CO2 reactions is strongly dependent on beta nonHCO3. Perfusate nonbicarbonate buffer capacity must be considered when the results of experimental studies of transcapillary CO2 exchange and/or intravascular pH equilibration are interpreted.


2021 ◽  
Vol 8 (5) ◽  
pp. 4367-4390
Author(s):  
Deepak Kumar Jha ◽  
Niti Yashvardhini ◽  
Amit Kumar

Introduction: The emergence of a novel coronavirus, SARS-CoV-2, an etiolating agent of coronavirus disease (COVID-19), has become a pandemic of global concern. Considering the huge number of morbidity and mortality worldwide, the World Health Organization, on 11th March 2020, has announced an unprecedented public health crisis. This virus is a member of plus sense RNA viruses that can show a high rate of mutations. The ongoing multiple mutations in the structural proteins of coronavirus drive viral evolution, enabling them to evade the host immunity and rapidly acquire drug resistance against COVID-19. In the present study, we focused mainly on the prevalence of mutations in the four types of structural proteins like S (spike), E (envelope), M (membrane), and N (nucleocapsid) that are required for the assembly of a complete virion particle. Further, we estimated the antigenicity and allergenicity of these structural proteins to design and develop a potentially good candidate vaccine against SARS-CoV-2. Methods: In the present in silico study, envelope protein was found highly antigenic followed by nucleocapsid, membrane, and spike protein of SARS-CoV-2. Results: Consequently, in this study, we detected 987 mutations from 729 sequences of Asia in October 2020 and compared them with China's 1st Wuhan isolate sequence as a reference. Spike showed the highest mutations with 807 point mutations among the four structural proteins, followed by nucleocapsid with 151 mutations, while envelope showed 19 and membrane only 10 point mutations. Conclusion: Taken together, our study revealed, variation occurring in the structural protein of SARS-CoV-2 might be altering their structure and functions, and envelope protein appears to be a promising vaccine candidate to curb coronavirus infections.


2019 ◽  
Author(s):  
Himani Sachdeva

AbstractThis paper analyzes how partial selfing in a large source population influences its ability to colonize a new habitat via the introduction of a few founder individuals. Founders experience inbreeding depression due to partially recessive deleterious alleles as well as maladaptation to the new environment due to selection on a large number of additive loci. I first introduce a simplified version of the Inbreeding History Model (Kelly, 2007) in order to characterize mutation-selection balance in a large, partially selfing source population under selection involving multiple non-identical loci. I then use individual-based simulations to study the eco-evolutionary dynamics of founders establishing in the new habitat under a model of hard selection. The study explores how selfing rate shapes establishment probabilities of founders via effects on both inbreeding depression and adaptability to the new environment, and also distinguishes the effects of selfing on the initial fitness of founders from its effects on the long-term adaptive response of the populations they found. A high rate of (but not complete) selfing is found to aid establishment over a wide range of parameters, even in the absence of mate limitation. The sensitivity of the results to assumptions about the nature of polygenic selection are discussed.


2016 ◽  
Author(s):  
Charleston Noble ◽  
Jason Olejarz ◽  
Kevin M. Esvelt ◽  
George M. Church ◽  
Martin A. Nowak

AbstractThe alteration of wild populations has been discussed as a solution to a number of humanity’s most pressing ecological and public health concerns. Enabled by the recent revolution in genome editing, CRISPR gene drives, selfish genetic elements which can spread through populations even if they confer no advantage to their host organism, are rapidly emerging as the most promising approach. But before real-world applications are considered, it is imperative to develop a clear understanding of the outcomes of drive release in nature. Toward this aim, we mathematically study the evolutionary dynamics of CRISPR gene drives. We demonstrate that the emergence of drive-resistant alleles presents a major challenge to previously reported constructs, and we show that an alternative design which selects against resistant alleles greatly improves evolutionary stability. We discuss all results in the context of CRISPR technology and provide insights which inform the engineering of practical gene drive systems.


2021 ◽  
Author(s):  
Martijn F. Schenk ◽  
Mark P. Zwart ◽  
Sungmin Hwang ◽  
Philip Ruelens ◽  
Edouard Severing ◽  
...  

Both mutations with large benefits and mutations occurring at high rates may cause parallel evolution, but their contribution is expected to depend on population size. We show that small and large bacterial populations adapt to a novel antibiotic using similar numbers, but different types of mutations. Small populations repeatedly substitute similar high-rate structural variants, including the deletion of a nonfunctional β-lactamase, and evolve modest resistance levels. Hundred-fold larger populations more frequently use the same low-rate, large-benefit point mutations, including those activating the β-lactamase, and reach 50-fold higher resistance levels. Our results demonstrate a key role of clonal interference in mediating the contribution of high-rate and large-benefit mutations in populations of different size, facilitated by a tradeoff between rates and fitness effects of different mutation classes.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2609-2609
Author(s):  
Timothy Junius Triche ◽  
Benjamin K. Johnson ◽  
Lyong Heo ◽  
Yizhou Peter Huang ◽  
Rhonda E. Ries ◽  
...  

Abstract Relapsing and refractory acute myeloid leukemia (AML) is responsible for dismal outcomes in both pediatric and adult patients. However, we (Bolouri, Farrar, Triche, Reis et al, Nature Medicine 2018) and others have demonstrated that the mutational burden of AML in children is remarkably different from that in adults. Gene fusions (such as those involving KMT2A/MLL or NUP98) are responsible for many primary refractory cases in children, while point mutations (such as those involving DNMT3A or TP53) commonly associated with refractory disease in adults are absent from children. Thus it appears that the evolutionary dynamics leading to presentation are age-specific, favoring highly penetrant structural variants in younger patients, while older patients more often present with mutations that confer stress resistance to mutant progenitors. By contrast, when we analyzed a clincally well-annotated cohort of relapsing and refractory pediatric AML patients alongside a similarly curated adult cohort (from Li & Garrett-Bakelman, Nature Medicine 2018), we observed that certain recurrent mutations (FLT3-ITD, FLT3-TKD, WT1 framshift or point mutations) are enriched in both adults and children who fail treatment, and variants in these genes tend to exhibit increasing variant allele frequencies at relapse. Revisiting two independent cohorts, one published (Klco et al, JAMA 2015) and one unpublished (Malek et al, unpublished) studies, we verified that FLT3-ITD, STAG2, WT1, and TP53 mutations associate with, and expand in, secondary refractory disease at all ages. More startling was our finding of recurrent epigenetic silencing in children with AML not only at presentation, but also (in specific focal cases) at relapse and induction failure. Here again we observed concordant promoter hypermethylation, increasing in both frequency and magnitude, at specific loci in both adult and pediatric cases across independent cohorts. HES4, ZNF229, and in particular the activating NK cell ligand ULBP1 appear to be selectively repressed in an expanding population of clones at relapse. Furthermore, after correcting for differences in blast count (purity) and inter-individual differences, we nonetheless find that the genome-wide DNA methylation profiles of relapsing cases resemble primitive hematopoietic stem cells relative to more committed myeloid (or, in rare cases, lymphoid) progenitors. This shift is particularly notable for its consistency: in any given patient, a supervised embedding of their leukemic cells' methylome at relapse will almost always appear to be more primitive than at diagnosis. Based on these and other observations, we propose that metabolic adaptations and convergent selective pressures during and after standard treatment drive both adaptation and resistance. The sites most frequently hypermethylated in both relapsing and refractory cases are enriched for EZH2 binding sites and decrease in methylation with 5-aza-CdR treatment, suggesting one possible alternative treatment in these cases. Figure. Figure. Disclosures No relevant conflicts of interest to declare.


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