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Maxwell, C. S.

Publications and source records attributed to Maxwell, C. S..

4 recordsLinked to original sources

Hypothesis: A plastically-produced phenotype predicts host specialization and can precede subsequent mutations in bacteriophage

The role of phenotypic plasticity in the evolution of new traits is controversial due to a lack of direct evidence. Phage host-range becomes plastic in the presence of restriction-modification (R-M) systems in their hosts. I modeled the evolution of phage host-range in the presence of R-M systems. The model makes two main predictions. First, that offspring of the first phage to gain a new methylation pattern by infecting a new host make up a disproportionate fraction of the subsequent specialist population, indicating that the plastically-produced phenotype is highly predictive of evolutionary outcome. Second, that the first phage gain this pattern is not always genetically distinct from other phages in the population. Taken together, these results suggest that plasticity could play a causal role on par with mutation during the evolution of phage host range. This uniquely tractable system could enable the first direct test of plasticity first evolution.

evolutionary biology

Intergenerational effects of dietary restriction on insulin/IGF signaling and reproductive development

The roundworm C. elegans transiently arrests larval development to survive extended starvation (1), but such early-life starvation reduces reproductive success (2, 3). Maternal dietary restriction (DR) buffers progeny from starvation, increasing reproductive success (4). It is unknown why early-life starvation decreases reproductive success and how maternal diet modifies this process. We show here that extended starvation in first-stage (L1) larvae followed by unrestricted feeding results in a variety of abnormalities in the reproductive system, including glp-1/Notch-sensitive germ-cell tumors and uterine masses that express neuronal and epidermal markers. We found that maternal DR reduces the penetrance of starvation-induced abnormalities, including tumors. Furthermore, we show that maternal DR reduces insulin/IGF signaling (IIS) in progeny, and that daf-16/FoxO and skn-1/Nrf, transcriptional effectors of IIS, are required in progeny for maternal DR to suppress abnormalities. daf-16/FoxO activity in somatic tissues is sufficient to suppress starvation-induced abnormalities, suggesting cell-nonautonomous regulation of reproductive system development. This work reveals complex inter- and intra-generational effects of nutrient availability mediated by IIS with consequences on developmental integrity and reproductive success.\n\nOne Sentence SummaryIntergenerational effects of diet on IIS

developmental biology

Pervasive positive and negative feedback regulation of insulin like signaling in Caenorhabditis elegans

The C. elegans insulin-like signaling network supports homeostasis and developmental plasticity. The genome encodes 40 insulin-like peptides and one receptor. Feedback regulation has been reported, but the extent of feedback and its effect on signaling dynamics during a state transition has not been determined. We measured mRNA expression for each insulin-like peptide, the receptor daf-2, components of the PI3K pathway, and its transcriptional effectors daf-16/FoxO and skn-1/Nrf at high temporal resolution during transition from a starved, quiescent state to a fed, growing state in wild type and mutants affecting daf-2/InsR and daf-16/FoxO. We also analyzed the effect of temperature on insulin-like gene expression. We found that numerous PI3K pathway components and insulin-like peptides are affected by signaling activity, revealing pervasive positive and negative feedback regulation. Reporter gene analysis demonstrated that the daf-2/InsR agonist daf-28 positively regulates its own expression and that other agonists cross-regulate daf-28 transcription through feedback. Our results show that feedback regulation of insulin-like signaling is widespread, suggesting a critical role of feedback in signaling dynamics in this endocrine network and likely others.

genetics

Rapid and scalable characterization of CRISPR technologies using an E. coli cell-free transcription-translation system

CRISPR-Cas systems have offered versatile technologies for genome engineering, yet their implementation has been outpaced by the ongoing discovery of new Cas nucleases and anti-CRISPR proteins. Here, we present the use of E. coli cell-free transcription-translation systems (TXTL) to vastly improve the speed and scalability of CRISPR characterization and validation. Unlike prior approaches that require protein purification or live cells, TXTL can express active CRISPR machinery from added plasmids and linear DNA, and TXTL can output quantitative dynamics of DNA cleavage and gene repression. To demonstrate the applicability of TXTL, we rapidly measure guide RNA-dependent DNA cleavage and gene repression for single- and multi-effector CRISPR-Cas systems, accurately predict the strength of gene repression in E. coli, quantify the inhibitory activity of anti-CRISPR proteins, and develop a fast and scalable high-throughput screen for protospacer-adjacent motifs. These examples underscore the potential of TXTL to facilitate the characterization and application of CRISPR technologies across their many uses.

synthetic biology