Long-term Laboratory Evolution Research Articles

Proteome partitioning constraints in long-term laboratory evolution

Adaptive laboratory evolution experiments provide a controlled context in which the dynamics of selection and adaptation can be followed in real-time at the single-nucleotide level. And yet this precision introduces hundreds of degrees-of-freedom as genetic changes accrue in parallel lineages over generations. On short timescales, physiological constraints have been leveraged to provide a coarse-grained view of bacterial gene expression characterized by a small set of phenomenological parameters. Here, we ask whether this same framework, operating at a level between genotype and fitness, informs physiological changes that occur on evolutionary timescales. Using a strain adapted to growth in glucose minimal medium, we find that the proteome is substantially remodeled over 40 000 generations. The most striking change is an apparent increase in enzyme efficiency, particularly in the enzymes of lower-glycolysis. We propose that deletion of metabolic flux-sensing regulation early in the adaptation results in increased enzyme saturation and can account for the observed proteome remodeling.

The role of polyhydroxyalkanoates in adaptation of Cupriavidus necator to osmotic pressure and high concentration of copper ions

Polyhydroxyalkanoates (PHA) are abundant microbial polyesters accumulated in the form of intracellular granules by numerous prokaryotes primarily as storage of carbon and energy. Apart from their storage function, the presence of PHA also enhances the robustness of the microbial cells against various stressors. In this work, we investigated the role of PHA in Cupriavidus necator, a model organism concerning PHA metabolism, for adaptation to osmotic pressure and copper ions. In long-term laboratory evolution experiments, the bacterial culture was cultivated in presence of elevated doses of sodium chloride or copper ions (incubations lasted 78 passages for Cu2+ and 68 passages for NaCl) and the evolved strains were compared with the wild-type strain in terms of growth and PHA production capacity, cell morphology (investigated by various electron microscopy techniques), activities of selected enzymes involved in PHA metabolism and other crucial metabolic pathways, the chemical composition of bacterial biomass (determined by infrared and Raman spectroscopy) and also considering robustness against various stressors. The results confirmed the important role of PHA metabolism for adaptation to both tested stressors.

Environmental and Physiological Factors Affecting High-Throughput Measurements of Bacterial Growth.

Bacterial growth under nutrient-rich and starvation conditions is intrinsically tied to the environmental history and physiological state of the population. While high-throughput technologies have enabled rapid analyses of mutant libraries, technical and biological challenges complicate data collection and interpretation. Here, we present a framework for the execution and analysis of growth measurements with improved accuracy over that of standard approaches. Using this framework, we demonstrate key biological insights that emerge from consideration of culturing conditions and history. We determined that quantification of the background absorbance in each well of a multiwell plate is critical for accurate measurements of maximal growth rate. Using mathematical modeling, we demonstrated that maximal growth rate is dependent on initial cell density, which distorts comparisons across strains with variable lag properties. We established a multiple-passage protocol that alleviates the substantial effects of glycerol on growth in carbon-poor media, and we tracked growth rate-mediated fitness increases observed during a long-term evolution of Escherichia coli in low glucose concentrations. Finally, we showed that growth of Bacillus subtilis in the presence of glycerol induces a long lag in the next passage due to inhibition of a large fraction of the population. Transposon mutagenesis linked this phenotype to the incorporation of glycerol into lipoteichoic acids, revealing a new role for these envelope components in resuming growth after starvation. Together, our investigations underscore the complex physiology of bacteria during bulk passaging and the importance of robust strategies to understand and quantify growth.IMPORTANCE How starved bacteria adapt and multiply under replete nutrient conditions is intimately linked to their history of previous growth, their physiological state, and the surrounding environment. While automated equipment has enabled high-throughput growth measurements, data interpretation and knowledge gaps regarding the determinants of growth kinetics complicate comparisons between strains. Here, we present a framework for growth measurements that improves accuracy and attenuates the effects of growth history. We determined that background absorbance quantification and multiple passaging cycles allow for accurate growth rate measurements even in carbon-poor media, which we used to reveal growth-rate increases during long-term laboratory evolution of Escherichia coli Using mathematical modeling, we showed that maximum growth rate depends on initial cell density. Finally, we demonstrated that growth of Bacillus subtilis with glycerol inhibits the future growth of most of the population, due to lipoteichoic acid synthesis. These studies highlight the challenges of accurate quantification of bacterial growth behaviors.

Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria.

The evolution of regulatory networks in Bacteria has largely been explained at macroevolutionary scales through lateral gene transfer and gene duplication. Transcription factors (TF) have been found to be less conserved across species than their target genes (TG). This would be expected if TFs accumulate mutations faster than TGs. This hypothesis is supported by several lab evolution studies which found TFs, especially global regulators, to be frequently mutated. Despite these studies, the contribution of point mutations in TFs to the evolution of regulatory network is poorly understood. We tested if TFs show greater genetic variation than their TGs using whole-genome sequencing data from a large collection of Escherichia coli isolates. TFs were less diverse than their TGs across natural isolates, with TFs of large regulons being more conserved. In contrast, TFs showed higher mutation frequency in adaptive laboratory evolution experiments. However, over long-term laboratory evolution spanning 60 000 generations, mutation frequency in TFs gradually declined after a rapid initial burst. Extrapolating the dynamics of genetic variation from long-term laboratory evolution to natural populations, we propose that point mutations, conferring large-scale gene expression changes, may drive the early stages of adaptation but gene regulation is subjected to stronger purifying selection post adaptation.

Emergence of a Competence-Reducing Filamentous Phage from the Genome of Acinetobacter baylyi ADP1.

We observed the emergence of a novel filamentous phage (CRAϕ) from the genome of Acinetobacter baylyi ADP1 during a long-term laboratory evolution experiment. CRAϕ is the first bacteriophage reported to require the molecular machinery involved in the uptake of environmental DNA for infection. Reactivation and evolution of CRAϕ reduced the potential for horizontal transfer of genes via natural transformation in our experiment. Risk of infection by similar phages may limit the expression and maintenance of bacterial competence in nature. The closest studied relative of CRAϕ is the Vibrio cholerae CTXϕ phage. Variants of CRAϕ are found in the genomes of Acinetobacter baumannii strains, and it is possible that phage-encoded toxins contribute to the virulence of this opportunistic multidrug-resistant pathogen.

RNA chaperones buffer deleterious mutations in E. coli

Both proteins and RNAs can misfold into non-functional conformations. Protein chaperones promote native folding of nascent polypeptides and refolding of misfolded species, thereby buffering mutations that compromise protein structure and function. Here, we show that RNA chaperones can also act as mutation buffers that enhance organismal fitness. Using competition assays, we demonstrate that overexpression of select RNA chaperones, including three DEAD box RNA helicases (DBRHs) (CsdA, SrmB, RhlB) and the cold shock protein CspA, improves fitness of two independently evolved Escherichia coli mutator strains that have accumulated deleterious mutations during short- and long-term laboratory evolution. We identify strain-specific mutations that are deleterious and subject to buffering when introduced individually into the ancestral genotype. For DBRHs, we show that buffering requires helicase activity, implicating RNA structural remodelling in the buffering process. Our results suggest that RNA chaperones might play a fundamental role in RNA evolution and evolvability.

Evolution of a new bacterial pathway for 4-nitrotoluene degradation.

Bacteria that assimilate synthetic nitroarene compounds represent unique evolutionary models, as their metabolic pathways are in the process of adaptation and optimization for the consumption of these toxic chemicals. We used Acidovorax sp. strain JS42, which is capable of growth on nitrobenzene and 2-nitrotoluene, in experiments to examine how a nitroarene degradation pathway evolves when its host strain is challenged with direct selective pressure to assimilate non-native substrates. Although the same enzyme that initiates the degradation of nitrobenzene and 2-nitrotoluene also oxidizes 4-nitrotoluene to 4-methylcatechol, which is a growth substrate for JS42, the strain is incapable of growth on 4-nitrotoluene. Using long-term laboratory evolution experiments, we obtained JS42 mutants that gained the ability to grow on 4-nitrotoluene via a new degradation pathway. The underlying basis for this new activity resulted from the accumulation of specific mutations in the gene encoding the dioxygenase that catalyses the initial oxidation of nitroarene substrates, but at positions distal to the active site and previously unknown to affect activity in this or related enzymes. We constructed additional mutant dioxygenases to identify the order of mutations that led to the improved enzymes. Biochemical analyses revealed a defined, step-wise pathway for the evolution of the improved dioxygenases.

Transition from Positive to Neutral in Mutation Fixation along with Continuing Rising Fitness in Thermal Adaptive Evolution

It remains to be determined experimentally whether increasing fitness is related to positive selection, while stationary fitness is related to neutral evolution. Long-term laboratory evolution in Escherichia coli was performed under conditions of thermal stress under defined laboratory conditions. The complete cell growth data showed common continuous fitness recovery to every 2°C or 4°C stepwise temperature upshift, finally resulting in an evolved E. coli strain with an improved upper temperature limit as high as 45.9°C after 523 days of serial transfer, equivalent to 7,560 generations, in minimal medium. Two-phase fitness dynamics, a rapid growth recovery phase followed by a gradual increasing growth phase, was clearly observed at diverse temperatures throughout the entire evolutionary process. Whole-genome sequence analysis revealed the transition from positive to neutral in mutation fixation, accompanied with a considerable escalation of spontaneous substitution rate in the late fitness recovery phase. It suggested that continually increasing fitness not always resulted in the reduction of genetic diversity due to the sequential takeovers by fit mutants, but caused the accumulation of a considerable number of mutations that facilitated the neutral evolution.

Reductive Evolution Can Prevent Populations from Taking Simple Adaptive Paths to High Fitness

New functions requiring multiple mutations are thought to be evolutionarily feasible if they can be achieved by means of adaptive paths-successions of simple adaptations each involving a single mutation. The presence or absence of these adaptive paths to new function therefore constrains what can evolve. But since emerging functions may require costly over-expression to improve fitness, it is also possible for reductive (i.e., cost-cutting) mutations that eliminate over-expression to be adaptive. Consequently, the relative abundance of these kinds of adaptive paths--constructive paths leading to new function versus reductive paths that increase metabolic efficiency--is an important evolutionary constraint. To study the impact of this constraint, we observed the paths actually taken during long-term laboratory evolution of an Escherichia coli strain carrying a doubly mutated trpA gene. The presence of these two mutations prevents tryptophan biosynthesis. One of the mutations is partially inactivating, while the other is fully inactivating, thus permitting a two-step adaptive path to full tryptophan biosynthesis. Despite the theoretical existence of this short adaptive path to high fitness, multiple independent lines grown in tryptophan-limiting liquid culture failed to take it. Instead, cells consistently acquired mutations that reduced expression of the double-mutant trpA gene. Our results show that competition between reductive and constructive paths may significantly decrease the likelihood that a particular constructive path will be taken. This finding has particular significance for models of gene recruitment, since weak new functions are likely to require costly over-expression in order to improve fitness. If reductive, cost-cutting mutations are more abundant than mutations that convert or improve function, recruitment may be unlikely even in cases where a short adaptive path to a new function exists.

Long-Term Laboratory Evolution of a Genetic Life-History Trade-Off in Drosophila melanogaster. 2. Stability of Genetic Correlations

Long-Term Laboratory Evolution of a Genetic Life-History Trade-Off in Drosophila melanogaster. 2. Stability of Genetic Correlations

Long-Term Laboratory Evolution of a Genetic Life-History Trade-Off in Drosophila melanogaster. 1. The Role of Genotype-by-Environment Interaction

Long-Term Laboratory Evolution of a Genetic Life-History Trade-Off in Drosophila melanogaster. 1. The Role of Genotype-by-Environment Interaction