Biology subjects

McDonald, M. J.

Publications and source records attributed to McDonald, M. J..

6 recordsLinked to original sources

bioRxiv2026

Trained phages constrain evolutionary routes to antibiotic resistance in Escherichia coli

Bacteriophages are major drivers of bacterial evolution and can impose strong selection on traits that mediate resistance and fitness. This creates the possibility of using phage to steer microbial adaptation toward predictable phenotypic outcomes. Yet bacterial populations often evolve phage resistance through diverse genetic routes, not all of which impose meaningful costs or trade-offs. Such evolutionary flexibility can allow bacteria to escape phage selection without acquiring the desired phenotype, limiting the reliability of phage-based evolutionary steering. Here, we develop a directed phage evolution strategy that eliminates cost-free resistance pathways, forcing bacteria into evolutionary trajectories that restore antibiotic susceptibility. We isolated two novel Microviridae phages (BLS2 and BLS5) that infect E. coli BL21 and found that bacteria evolved resistance through two distinct mechanisms: mutations in lipopolysaccharide (LPS) biosynthesis genes, which carried substantial fitness costs and conferred sensitivity to erythromycin, and loss-of-function mutations in yajC, which imposed no fitness penalty and maintained full antibiotic resistance. We show that YajC is a previously uncharacterised accessory receptor required for phage genome translocation across the inner membrane. We then used this mechanistic understanding to design a phage training regime that evolved phages capable of infecting yajC mutants, thereby closing this cost-free escape route. Bacteria challenged with trained phages were constrained to evolve LPS-based resistance, and were consequently resensitised to erythromycin. Our results demonstrate that directed phage evolution can reshape the fitness landscape of bacterial resistance, channelling adaptation along trajectories that carry predictable phenotypic costs - with broad implications for phage-mediated manipulation of microbial populations. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/742405v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@14b387aorg.highwire.dtl.DTLVardef@168ff62org.highwire.dtl.DTLVardef@56a8c9org.highwire.dtl.DTLVardef@16363e5_HPS_FORMAT_FIGEXP M_FIG C_FIG

evolutionary biology↗

bioRxiv2025

Parallel but distinct adaptive routes in the budding and fission yeasts after 10,000 generations of experimental evolution

Quantitative genetics approaches designed to understand the evolution of traits have helped improve our understanding of the genetic basis of adaptation. However, they often overlook crucial aspects of adaptation, including the long-term temporal evolutionary dynamics, the predictability of evolutionary outcomes, the influence of past evolution on future evolutionary trajectories (contingency), and the diversity of molecular mechanisms underlying adaptation. Experimental evolution has been a useful tool for answering these questions, but extracting fundamental principles and predictive features of evolutionary outcomes from these datasets remains challenging due to the large number of covariates and confounding effects, such as differences in experimental setup, species lifestyle, gene content, and evolution rate. Here, we sought to circumvent these challenges by comparing distant yeast species that share several evolutionary features but differ mainly in evolutionary history and genome architecture, i.e. Saccharomyces cerevisiae and Schizosaccharomyces pombe. Thus, we evolved 10 populations of the fission yeast for 10,000 generations in the same conditions as a pre-existing budding yeast dataset (i.e. high-sugar media and hypoxic conditions), allowing us to observe repeatable evolutionary outcomes within species but diverse molecular mechanisms and targets of adaptation across species. The most frequent adapting route in these conditions involved upregulating fermentation genes and downregulating the glycolysis gene pyk1, which has not previously been observed in S. cerevisiae evolved populations or in wild Kluyveromyces lactis, but similar evolutionary paths have been observed in Schizosaccharomyces japonicus and in clinically relevant populations, such as some cancer cells. This suggests that parallelism is pervasive in the tree of life and that mechanisms of adaptation can be shared among closely related or distant species. Despite similar gene content and identical environments, recurrent adaptation across S. pombe populations involved different genes than in S. cerevisiae and was mostly detectable at the transcriptomic level. This suggests that trans-regulatory effects may play an important role in adaptation on short evolutionary timescales and that differences in evolutionary outcomes between these species may be attributed to contingency.

evolutionary biology↗

bioRxiv2021

Bacteriophage adaptation to a mammalian mucosa reveals a trans-domain evolutionary axis

The majority of viruses within the human gut are obligate bacterial viruses known as bacteriophages (phages)1. Their bacteriotropism underscores the study of phage ecology in the gut, where they sustain top-down control2-4 and co-evolve5 with gut bacterial communities. Traditionally, these were investigated empirically via in vitro experimental evolution6-8 and more recently, in vivo models were adopted to account for gut niche effects4,9. Here, we probed beyond conventional phage-bacteria co-evolution to investigate the potential evolutionary interactions between phages and the mammalian "host". To capture the role of the mammalian host, we recapitulated a life-like mammalian gut mucosa using in vitro lab-on-a-chip devices (to wit, the gut-on-a-chip) and showed that the mucosal environment supports stable phage-bacteria co-existence. Next, we experimentally evolved phage populations within the gut-on-a-chip devices and discovered that phages adapt by de novo mutations and genetic recombination. We found that a single mutation in the phage capsid protein Hoc - known to facilitate phage adherence to mucus10 - caused altered phage binding to fucosylated mucin glycans. We demonstrated that the altered glycan-binding phenotype provided the evolved mutant phage a competitive fitness advantage over their ancestral wildtype phage in the gut-on-a-chip mucosal environment. Collectively, our findings revealed that phages - in addition to their evolutionary relationship with bacteria - are also able to engage in evolution with the mammalian host.

microbiology↗

bioRxiv2020

Phenotypic and molecular evolution across 10,000 generations in laboratory budding yeast populations

Laboratory experimental evolution provides a window into the details of the evolutionary process. To investigate the consequences of long-term adaptation, we evolved 205 S. cerevisiae populations (124 haploid and 81 diploid) for [~]10,000 generations in three environments. We measured the dynamics of fitness changes over time, finding repeatable patterns of declining adaptability. Sequencing revealed that this phenotypic adaptation is coupled with a steady accumulation of mutations, widespread genetic parallelism, and historical contingency. In contrast to long-term evolution in E. coli, we do not observe long-term coexistence or populations with highly elevated mutation rates. We find that evolution in diploid populations involves both fixation of heterozygous mutations and frequent loss-of-heterozygosity events. Together, these results help distinguish aspects of evolutionary dynamics that are likely to be general features of adaptation across many systems from those that are specific to individual organisms and environmental conditions.

evolutionary biology↗

bioRxiv2018

Alternative hydrogen uptake pathways suppress methane production in ruminants

Farmed ruminants are the largest source of anthropogenic methane emissions globally. The methanogenic archaea responsible for these emissions use molecular hydrogen (H2), produced during bacterial and eukaryotic carbohydrate fermentation, as their primary energy source. In this work, we used comparative genomic, metatranscriptomic, and co-culture-based approaches to gain a system-wide understanding of the organisms and pathways responsible for ruminal H2 metabolism. Two thirds of sequenced rumen bacterial and archaeal genomes encode enzymes that catalyze H2 production or consumption, including 26 distinct hydrogenase subgroups. Metatranscriptomic analysis confirmed that these hydrogenases are differentially expressed in sheep rumen. Electron-bifurcating [FeFe]-hydrogenases from carbohydrate-fermenting Clostridia (e.g. Ruminococcus) accounted for half of all hydrogenase transcripts. Various H2 uptake pathways were also expressed, including methanogenesis (Methanobrevibacter), fumarate reduction and nitrate ammonification (Selenomonas), and acetogenesis (Blautia). Whereas methanogenesis predominated in high methane yield sheep, alternative uptake pathways were significantly upregulated in low methane yield sheep. Complementing these findings, we observed significant differential expression and activity of the hydrogenases of the hydrogenogenic cellulose fermenter Ruminococcus albus and the hydrogenotrophic fumarate reducer Wolinella succinogenes in co-culture compared to pure culture. We conclude that H2 metabolism is a more complex and widespread trait among rumen microorganisms than previously recognized. There is evidence that alternative hydrogenotrophs, including acetogens and selenomonads, can prosper in the rumen and effectively compete with methanogens for H2 in low methane yield ruminants. Strategies to increase flux through alternative H2 uptake pathways, including animal selection, dietary supplementation, and methanogenesis inhibitors, may lead to sustained methane mitigation.

microbiology↗

bioRxiv2017

Long-term adaptive evolution of genomically recoded Escherichia coli

Efforts are underway to construct several recoded genomes anticipated to exhibit multi-virus resistance, enhanced non-standard amino acid (NSAA) incorporation, and capability for synthetic biocontainment. Though we succeeded in pioneering the first genomically recoded organism (Escherichia coli strain C321.{Delta}A), its fitness is far lower than that of its non-recoded ancestor, particularly in defined media. This fitness deficit severely limits its utility for NSAA-linked applications requiring defined media such as live cell imaging, metabolic engineering, and industrial-scale protein production. Here, we report adaptive evolution of C321.{Delta}A for more than 1,000 generations in independent replicate populations grown in glucose minimal media. Evolved recoded populations significantly exceed the growth rates of both the ancestral C321.{Delta}A and non-recoded strains, permitting use of the recoded chassis in several new contexts. We use next-generation sequencing to identify genes mutated in multiple independent populations, and we reconstruct individual alleles in ancestral strains via multiplex automatable genome engineering (MAGE) to quantify their effects on fitness. Several selective mutations occur only in recoded evolved populations, some of which are associated with altering the translation apparatus in response to recoding, whereas others are not apparently associated with recoding, but instead correct for off-target mutations that occurred during initial genome engineering. This report demonstrates that laboratory evolution can be applied after engineering of recoded genomes to streamline fitness recovery compared to application of additional targeted engineering strategies that may introduce further unintended mutations. In doing so, we provide the most comprehensive insight to date into the physiology of the commonly used C321.{Delta}A strain.\n\nSignificance StatementAfter demonstrating construction of an organism with an altered genetic code, we sought to evolve this organism for many generations to improve its fitness and learn what unique changes natural selection would bestow upon it. Although this organism initially had impaired fitness, we observed that adaptive laboratory evolution resulted in several selective mutations that corrected for insufficient translation termination and for unintended mutations that occurred when originally altering the genetic code. This work further bolsters our understanding of the pliability of the genetic code, it will help guide ongoing and future efforts seeking to recode genomes, and it results in a useful strain for non-standard amino acid incorporation in numerous contexts relevant for research and industry.

evolutionary biology↗