Bacterial genome wide epistasis: extant, emergence and molecular bases. – GeWiEp
GeWiEpi: Bacterial genome wide epistasis: extent, emergence and molecular bases
During adaptation, a succession of mutations can be selected in a bacterial population. The effect of late-appearing mutations may depend on the presence of previous mutations and therefore lead to the existence of sets of functional mutations in bacterial genomes. These combinations can limit genetic exchanges between clones. Thanks to genetic engineering we propose to test the emergence and the importance of these interactions in bacterial evolution.
Determining how epistasis shapes bacterial genomic evolution
With the analysis of the genomes, it appears that transfers of genetic material within a versatile species like Escherichia coli are frequent and all the more so for the genes involved in antibiotic resistance. However, the resistance problem is mainly associated with a few clones, which suggests that there are certain limits to the transfer of genetic material. One of the explanations could come from genomic epistasis. The accumulation of beneficial mutations can be very rapid when a bacterial population arrives in a new environment. Experimental evolution has been able to reveal that these mutations can interact with each other, late mutations having for example an advantage which is conditional on the presence of early mutations. Thus the adaptation of different bacterial populations in parallel could lead each to accumulate in its genome a combination of mutations interacting together and whose disruption by genetic exchange could be harmful. These interactions could thus limit the flow of genes and allow each strain to accumulate specific adaptations incompatible with those of other members of the species.<br />Thanks to genetic engineering, it is possible for us to construct recombinant strains, to sequence them and to characterize them in terms of fitness or in terms of phenotype. Our objective is to identify and quantify whether these genetic interactions are important and could shape the evolution of genomes and bacterial clones on characteristics as important as the propagation of antimicrobial resistance.
Our experimental approach can be broken down into four phases:
1) The creation, thanks to new methods of genetic engineering, of hybrid genomes between strains.
2) The marking of these strains by genetic barcodes to follow their selective value
3) Sequencing and genetic engineering analysis of these strains
4) integration of data into models and bioinformatics analysis of genomes from databases to confirm oberservations.
We propose to use as material the strains evolved by the laboratory of Richard Lenski since 1988 as well as the pathogenic isolates of the strain ST131 which have diverged since 1987.
The objective is to measure the emergence of negative interactions between the various components of recent genomes and to try to identify the molecular bases of these interactions.
1) We have developed two alternative methods for mixing genomes and invented a new approach for selecting recombinants
2) We have succeeded in barcoding several strains including natural isolates and strains evolved at length in the laboratory. We were able to show that the barcodes were stable over time and could allow the dynamics of adaptation to be detected.
3) A phenotyping method at the transciptomic level of thousands of mutants has been developed and can be applied to the recombinants produced.
4) A database of 60,000 genomes has been constructed, the core genome phylogeny carried out and the effect of the mutations predicted.
ST131 strains and Richard Lenski strains have been better characterized in phenotypic terms.
We will now proceed to the production phase of the recombinants and analyze their selective value and their phenotypes with the techniques developed.
Methodological articles are being prepared on the methods developed;
Although the last decades witnessed many victories against infectious diseases, the spread of multidrug-resistant bacteria is now challenging these past successes. Species that were previously well controlled are now becoming health threats. For instance, Escherichia coli, which caused minor trouble 15 years ago, is now a major concern in the hospital owing to increased antibiotic resistance and extra-intestinal virulence. This pattern is partly driven by the worldwide expansion of clone ST131. It was undetected in the collections sampled in humans in the 1980s but represents now about 7% and up to 18% of strains isolated in commensal conditions in France and in extra-intestinal pathologies in the UK, respectively.
The fast emergence and evolutionary success of multi-resistant clones with some ecological specificity in the E. coli species raises both medical and fundamental interests. How can a clone or phylogroup propagate and conserve its specificity despite the presence of genetic exchanges that may transmit its genes to other species members. Experimental evolution suggests that adaptation selects rapidly for mutations scattered on the chromosome that interact epistatically with one another. We suggest that this form of Genome Wide Epistasis (GWE) may explain the diversification within E. coli species. GWE may limit genetic transfers from and to a given clone as disruption or partial transfer of a successful combination of alleles will be costly and result in recombinants with low fitness.
To test our hypothesis, we will use two unique, unprecedented and complementary strain collections that both evolved over the last 30 years. The Long-Term Experimental Evolution (LTEE) from Richard Lenski with now 70,000 generations of asexual evolution in a perfectly controlled laboratory environment is a unique analytical material to unravel the genomic consequences of adaptation. The emergence, 30 years ago, of two antibiotic resistant clades of ST131 provides an alternative well-documented system of evolution that occurred this time in the wild, in the presence of genetic exchange. Moreover, ST131 is a public health concern owing to ST131 high virulence and antibiotic resistance.
To uncover the emergence and extant of GWE, we will perform crosses between strains and study the fitness of the recombinants. Recent developments in synthetic biology tools and sequencing technologies allow now the production at high rates of recombinants and the precise measurement of their fitness in bulk through barcoding sequencing. We therefore propose to evaluate precisely the distribution of fitness effects of recombinants in the two previous systems. Their comparison and integration in a theoretical model of speciation will provide an unprecedented quantitative approach to GWE in a bacterial species. To validate this phenomenological approach, we will uncover the molecular determinants of GWE using new developments in millifluidics and microfluidics. With a method akin to quantitative trait loci analysis, our aim will be to detect regions that are restrictive to genetic exchange and to precisely measure the fitness of recombinants involving the transfer of these regions. For a subset of identified combinations of mutations, we will use a combinatorial approach coupled to microfluidic genotyping to reconstruct the precise adaptive landscapes composed of mutations or regions selected in different populations/clades.
This ambitious project tackles the fundamental question of the emergence of stable genetic specificities in a sexual bacterial species of medical relevance, and addresses it using recent technological revolutions in the fields of synthetic biology, sequencing, millifluidics and microfluidics.
Project coordination
Olivier Tenaillon (Infection, anti-microbien, modélisation, évolution)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partnership
CBI Laboratory of BioChemistry
TIMC-IMAG Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble
IAME Infection, anti-microbien, modélisation, évolution
Help of the ANR 600,077 euros
Beginning and duration of the scientific project:
December 2018
- 42 Months