Biology subjects

Nelson, D. R.

Publications and source records attributed to Nelson, D. R..

25 records · Page 2Linked to original sources

bioRxiv2019

Nucleation of antagonistic organisms and cellular competitions on curved, inflating substrates

We consider the dynamics of spatially-distributed, diffusing populations of organisms with antagonistic interactions. These interactions are found on many length scales, ranging from kilometer-scale animal range dynamics with selection against hybrids to micron-scale interactions between poison-secreting microbial populations. We find that the dynamical line tension at the interface between antagonistic organisms suppresses survival probabilities of small clonal clusters: the line tension introduces a critical cluster size that an organism with a selective advantage must achieve before deterministically spreading through the population. We calculate the survival probability as a function of selective advantage{delta} and antagonistic interaction strength{sigma} . Unlike a simple Darwinian selective advantage, the survival probability depends strongly on the spatial diffusion constant Ds of the strains when{sigma} > 0, with suppressed survival when both species are more motile. Finally, we study the survival probability of a single mutant cell at the frontier of a growing spherical cluster of cells, such as the surface of an avascular spherical tumor. Both the inflation and curvature of the frontier significantly enhance the survival probability by changing the critical size of the nucleating cell cluster.

evolutionary biology↗

bioRxiv2019

Functional genomics of the stable fly, Stomoxys calcitrans, reveals mechanisms underlying reproduction, host interactions, and novel targets for pest control

BackgroundThe stable fly, Stomoxys calcitrans, is a major blood-feeding pest of livestock that has near worldwide distribution, causing an annual cost of over $2 billion for control and product loss in the United States alone. Control of these flies has been limited to increased sanitary management practices and insecticide application for suppressing larval stages. Few genetic and molecular resources are available to help in developing novel methods for controlling stable flies.\n\nResultsThis study examines stable fly biology by utilizing a combination of high-quality genome sequencing, microbiome analyses, and RNA-seq analyses targeting multiple developmental stages and tissues. In conjunction, manual curation of over 1600 genes was used to examine gene content related to stable fly reproduction, interactions with their host, host-microbe dynamics, and putative routes for control. Most notable was establishment of reproduction-associated genes and identification of expanded vision, chemosensation, immune repertoire, and metabolic detoxification pathway gene families.\n\nConclusionsThe combined sequencing, assembly, and curation of the male stable fly genome followed by RNA-seq and downstream analyses provide insights necessary to understand the biology of this important pest. These resources and knowledge will provide the groundwork for expanding the tools available to control stable fly infestations. The close relationship of Stomoxys to other blood-feeding (Glossina) and non-blood-feeding flies (medflies, Drosophila, house flies) will allow for understanding the evolution of blood feeding among Cyclorrhapha flies.

genomics↗

bioRxiv2019

Mutation Effects on Remote Epitopes of An Autoantigen Decoded with Simulated B-Factors

Proteinase 3 (PR3) is a neutrophil serine protease targeted by anti-neutrophil cytoplasmic antibodies (ANCAs) in the autoimmune disease granulomatosis with polyangiitis (GPA)1-5. PR3 mutants were developed to investigate how PR3 interacts with the ANCAs and whether the interactions can be intervened by therapeutics. One mutant with a Ser195Ala mutation (iPR3-Val103) recognized as many ANCAs as wild-type PR3 (PR3-Val103)6-9, indicating that PR3-Val103 and iPR3-Val103 have equivalent ANCA-binding capabilities. A triple mutant of the latter (iHm5-Val103) bound a monoclonal antibody (moANCA518) from a patient with GPA on an epitope remote from the mutation sites. Unexpectedly, the corresponding epitope of iPR3-Val103 was inaccessible to moANCA518 under the same experimental conditions10,11. These observations demonstrate that a latent epitope of PR3 can be activated surprisingly by remote mutations in PR311. Here we report a comparative analysis of simulated B-factors (i.e., measurements of local mobility) of PR3-Val103, iPR3-Val103, and iHm5-Val103, demonstrating that the binding of moANCA518 to iHm5-Val103 is enabled by an increase in main-chain flexibility in the latent epitope caused by the remote muta-tions in iHm5-Val103. This epitope activation--achieved in vitro by remote mutations as we demonstrated or in vivo conceivably by remote protein>>protein interactions12 or remote po-lymorphisms--may be a fundamental feature of antibody-mediated autoimmune diseases. Rigidifying B-cell epitopes on an autoantigen with therapeutics designed using the B-factor analysis disclosed here may lead to effective treatments for these autoimmune diseases by making the autoantigen inaccessible to existing autoantibodies. This analysis may also be used to predict and characterize epitopes and remote mutation effects.

immunology↗

bioRxiv2018

Physical interactions reduce the power of natural selection in growing yeast colonies

Microbial populations often assemble in dense populations in which proliferating individuals exert mechanical forces on the nearby cells. Here, we use yeast strains whose doubling times depend differently on temperature to show that physical interactions among cells affect the competition between different genotypes in growing yeast colonies. Our experiments demonstrate that these physical interactions have two related effects: they cause the prolonged survival of slower-growing strains at the actively-growing frontier of the colony and cause faster-growing strains to increase their frequency more slowly than expected in the absence of physical interactions. These effects also promote the survival of slower-growing strains and the maintenance of genetic diversity in colonies grown in time-varying environments. A continuum model inspired by overdamped hydrodynamics reproduces the experiments and predicts that the strength of natural selection depends on the width of the actively-growing layer at the colony frontier. We verify these predictions experimentally. The reduced power of natural selection observed here may favor the maintenance of drug-resistant cells in microbial populations and could explain the apparent neutrality of inter-clone competition within tumors.\n\nSignificance StatementMicrobes often live in dense populations such as colonies and biofilms. We show that the success and extinction of yeast strains within a growing colony are determined by a combination of their relative fitness and the forces exerted by proliferating cells on their neighbors. These physical interactions prolong the survival of less-fit strains at the growing frontier of the colony and slow down the colonys takeover by fitter strains. This reduction in the power of natural selection favors the maintenance of genetic diversity in environments in which the strains relative growth rates vary with time. Growth-induced physical interactions may thus favor the maintenance of drug-resistant cells, which are typically less-fit than non-resistant cells, within dense microbial populations.

biophysics↗

bioRxiv2017

Firefly genomes illuminate the origin and evolution of bioluminescence

Fireflies are among the best-studied of the bioluminescent organisms. Despite longterm interest in the biochemistry, neurobiology, and evolution of firefly flash signals and the widespread biotechnological applications of firefly luciferase, only a limited set of genes related to this complex trait have been described. To investigate the genetic basis of firefly bioluminescence, we generated a high-quality reference genome for the Big Dipper firefly Photinus pyralis, from which the first laboratory luciferase was cloned, using long-read (PacBio), short-read (Illumina), and Hi-C sequencing technologies. To facilitate comparative genomics, we also generated short-read genome assemblies for a Japanese firefly Aquatica lateralis and a bioluminescent click beetle, Ignelater luminosus. Analyses of these genomic datasets supports at least two independent gains of luminescence in beetles, and provides new insights into the evolution of beetle bioluminescence and chemical defenses that likely co-evolved over their 100 million years of evolution.

genomics↗

bioRxiv2017

Genetic Drift and Selection in Many-Allele Range Expansions

We experimentally and numerically investigate the evolutionary dynamics of four competing strains of E. coli with differing expansion velocities in radially expanding colonies. We compare experimental measurements of the average fraction, correlation functions between strains, and the relative rates of genetic domain wall annihilations and coalescences to simulations modeling the population as a one-dimensional ring of annihilating and coalescing random walkers with deterministic biases due to selection. The simulations reveal that the evolutionary dynamics can be collapsed onto master curves governed by three essential parameters: (1) an expansion length beyond which selection dominates over genetic drift; (2) a characteristic angular correlation describing the size of genetic domains; and (3) a dimensionless constant quantifying the interplay between a colonys curvature at the frontier and its selection length scale. We measure these parameters with a new technique that precisely measures small selective differences between spatially competing strains and show that our simulations accurately predict the dynamics with no additional fitting. Our results suggest that that the random walk model can act as a useful predictive tool when describing the evolutionary dynamics of range expansions composed of an arbitrary number of competing alleles with different fitnesses.\n\nAuthor summaryPopulation expansions occur naturally during the spread of invasive species and have played a role in our evolutionary history when many of our ancestors expanded out of Africa. We use a colony of bacteria expanding into unoccupied, nutrient-rich territory on an agar plate as a model system to explore how an expanding populations spatial structure impacts its evolutionary dynamics. Spatial structure is present in expanding microbial colonies because daughter cells migrate only a small distance away from their mothers each generation. Generally, the constituents of expansions occurring in nature and in the lab have different genetic compositions (genotypes, or alleles if a single gene differs), each instilling different fitnesses, which compete to proliferate at the frontier. Here, we show that a random-walk model can accurately predict the dynamics of four expanding strains of E. coli with different fitnesses; each strain represents a competing allele. Our results can be extended to describe any number of competing genotypes with different fitnesses in a naturally occurring expansions. Our model can also be used to precisely measure small selective differences between spatially competing genotypes in controlled laboratory settings.

evolutionary biology↗

bioRxiv2017

Spatial gene drives and pushed genetic waves

Gene drives have the potential to rapidly replace a harmful wild-type allele with a gene drive allele engineered to have desired functionalities. However, an accidental or premature release of a gene drive construct to the natural environment could damage an ecosystem irreversibly. Thus, it is important to understand the spatiotemporal consequences of the super-Mendelian population genetics prior to potential applications. Here, we employ a reaction-diffusion model for sexually reproducing diploid organisms to study how a locally introduced gene drive allele spreads to replace the wild-type allele, even though it posses a selective disadvantage s > 0. Using methods developed by N. Barton and collaborators, we show that socially responsible gene drives require 0.5 < s < 0.697, a rather narrow range. In this \"pushed wave\" regime, the spatial spreading of gene drives will be initiated only when the initial frequency distribution is above a threshold profile called \"critical propagule\", which acts as a safeguard against accidental release. We also study how the spatial spread of the pushed wave can be stopped by making gene drives uniquely vulnerable (\"sensitizing drive\") in a way that is harmless for a wild-type allele. Finally, we show that appropriately sensitized drives in two dimensions can be stopped even by imperfect barriers perforated by a series of gaps.

synthetic biology↗