scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1022073485 |
P356 | DOI | 10.1038/NG1535 |
P3181 | OpenCitations bibliographic resource ID | 1631554 |
P698 | PubMed publication ID | 15778707 |
P5875 | ResearchGate publication ID | 7955763 |
P2093 | author name string | Paul Joyce | |
Darin R Rokyta | |||
Holly A Wichman | |||
S Brian Caudle | |||
P2860 | cites work | CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice | Q24286950 |
Experimental genomic evolution: extensive compensation for loss of DNA ligase activity in a virus | Q45733633 | ||
Performance-based selection of likelihood models for phylogeny estimation | Q47582081 | ||
A minimum on the mean number of steps taken in adaptive walks. | Q52026868 | ||
Towards a theory of evolutionary adaptation. | Q52237130 | ||
THE POPULATION GENETICS OF ADAPTATION: THE DISTRIBUTION OF FACTORS FIXED DURING ADAPTIVE EVOLUTION. | Q53762739 | ||
A Mathematical Theory of Natural and Artificial Selection, Part V: Selection and Mutation | Q56169900 | ||
The genetical theory of natural selection | Q61661297 | ||
ADAPTATION AND THE COST OF COMPLEXITY | Q63918282 | ||
A simple stochastic gene substitution model | Q71016135 | ||
The population genetics of adaptation: the adaptation of DNA sequences | Q74699508 | ||
The probability that beneficial mutations are lost in populations with periodic bottlenecks | Q77605341 | ||
P433 | issue | 4 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | virology | Q7215 |
P304 | page(s) | 441-444 | |
P577 | publication date | 2005-03-20 | |
P1433 | published in | Nature Genetics | Q976454 |
P1476 | title | An empirical test of the mutational landscape model of adaptation using a single-stranded DNA virus | |
P478 | volume | 37 |
Q36182021 | A Mutational Hotspot and Strong Selection Contribute to the Order of Mutations Selected for during Escherichia coli Adaptation to the Gut |
Q28754894 | A framework for evolutionary systems biology |
Q33342879 | A general multivariate extension of Fisher's geometrical model and the distribution of mutation fitness effects across species |
Q41021919 | A statistical guide to the design of deep mutational scanning experiments |
Q41986173 | Adaptation in tunably rugged fitness landscapes: the rough Mount Fuji model |
Q50532537 | Adaptation of Drosophila melanogaster to increased NaCl concentration due to dominant beneficial mutations. |
Q34661718 | Adaptive mutations in bacteria: high rate and small effects |
Q22122015 | An integrated view of protein evolution |
Q37009661 | Beneficial fitness effects are not exponential for two viruses. |
Q33829798 | Causes of molecular convergence and parallelism in protein evolution |
Q22066030 | Climbing Mount Probable: Mutation as a Cause of Nonrandomness in Evolution |
Q37011413 | Clonal interference, multiple mutations and adaptation in large asexual populations |
Q46069507 | Comparative genome sequencing of Escherichia coli allows observation of bacterial evolution on a laboratory timescale |
Q36500717 | Constructive neutral evolution: exploring evolutionary theory's curious disconnect |
Q37379672 | Copy-number changes in evolution: rates, fitness effects and adaptive significance |
Q27317021 | Defectors Can Create Conditions That Rescue Cooperation |
Q41166962 | Diminishing Returns From Beneficial Mutations and Pervasive Epistasis Shape the Fitness Landscape for Rifampicin Resistance in Pseudomonas aeruginosa |
Q22122042 | Distribution of fitness effects among beneficial mutations before selection in experimental populations of bacteria |
Q91723038 | Distribution of fitness effects of mutations obtained from a simple genetic regulatory network model |
Q37739024 | Dynamics of molecular evolution in RNA virus populations depend on sudden versus gradual environmental change |
Q35620493 | Emergent neutrality in adaptive asexual evolution |
Q37412772 | Environment determines epistatic patterns for a ssDNA virus |
Q33926816 | Epistasis between beneficial mutations and the phenotype-to-fitness Map for a ssDNA virus |
Q33277641 | Estimating a geographically explicit model of population divergence |
Q41463214 | Estimating the number of one-step beneficial mutations. |
Q92879130 | Evolutionary Dynamics in the RNA Bacteriophage Qβ Depends on the Pattern of Change in Selective Pressures |
Q33325656 | Experimental evolution and genome sequencing reveal variation in levels of clonal interference in large populations of bacteriophage phiX174. |
Q34109071 | Experimental evolution of viruses: Microviridae as a model system |
Q35962233 | Exploiting the Adaptation Dynamics to Predict the Distribution of Beneficial Fitness Effects |
Q34043441 | First-step mutations for adaptation at elevated temperature increase capsid stability in a virus |
Q22122004 | Fitness and its role in evolutionary genetics |
Q34029760 | Genic incompatibilities in two hybrid bacteriophages |
Q28754815 | Genomewide patterns of substitution in adaptively evolving populations of the RNA bacteriophage MS2 |
Q34667651 | High spontaneous rate of gene duplication in Caenorhabditis elegans |
Q40015135 | High-resolution mapping of evolutionary trajectories in a phage |
Q37184676 | How Good Are Statistical Models at Approximating Complex Fitness Landscapes? |
Q31039403 | Identifying functionally important mutations from phenotypically diverse sequence data |
Q42049424 | Impact of increased mutagenesis on adaptation to high temperature in bacteriophage Qβ. |
Q33709997 | Impacts of mutation effects and population size on mutation rate in asexual populations: a simulation study |
Q41347133 | Inference for one-step beneficial mutations using next generation sequencing |
Q41155475 | Intergenic incompatibilities reduce fitness in hybrids of extremely closely related bacteriophages |
Q48062443 | Lack of Evidence for Sign Epistasis Between Beneficial Mutations in an RNA Bacteriophage |
Q40567914 | Love the one you're with: replicate viral adaptations converge on the same phenotypic change |
Q92141659 | Microbial Experimental Evolution - a proving ground for evolutionary theory and a tool for discovery |
Q34049975 | Molecular spandrels: tests of adaptation at the genetic level. |
Q35542019 | Multiple adaptive substitutions during evolution in novel environments |
Q47613442 | Mutation-Driven Parallel Evolution during Viral Adaptation |
Q36300349 | Mutation-biased adaptation in Andean house wrens |
Q38711741 | Mutational biases influence parallel adaptation |
Q34477455 | Mutational effects and population dynamics during viral adaptation challenge current models |
Q22065913 | Mutational fitness effects in RNA and single-stranded DNA viruses: common patterns revealed by site-directed mutagenesis studies |
Q50045244 | Mutational robustness of ribosomal protein genes |
Q34523907 | Mutationism and the dual causation of evolutionary change |
Q38786690 | Mutations of intermediate effect are responsible for adaptation in evolving Pseudomonas fluorescens populations |
Q36198245 | Parallel genetic changes and nonparallel gene-environment interactions characterize the evolution of drug resistance in yeast |
Q92568694 | Patterns and Mechanisms of Diminishing Returns from Beneficial Mutations |
Q35294643 | Payoffs, not tradeoffs, in the adaptation of a virus to ostensibly conflicting selective pressures |
Q50914574 | Phase transition in random adaptive walks on correlated fitness landscapes. |
Q33531914 | Phenotypic effect of mutations in evolving populations of RNA molecules |
Q21563371 | Quantifying the adaptive potential of an antibiotic resistance enzyme |
Q40499709 | Quantitative evolutionary dynamics using high-resolution lineage tracking |
Q28728760 | Real time forecasting of near-future evolution |
Q93013409 | Simulations reveal challenges to artificial community selection and possible strategies for success |
Q40015494 | Site-specific amino acid frequency, fitness and the mutational landscape model of adaptation in human immunodeficiency virus type 1. |
Q40393216 | Survival probability of beneficial mutations in bacterial batch culture |
Q36429821 | Synergistic Pleiotropy Overrides the Costs of Complexity in Viral Adaptation |
Q35945772 | Testing the extreme value domain of attraction for distributions of beneficial fitness effects |
Q34399491 | The consistency of beneficial fitness effects of mutations across diverse genetic backgrounds |
Q36724374 | The distribution of beneficial and fixed mutation fitness effects close to an optimum |
Q41081632 | The distribution of beneficial mutant effects under strong selection. |
Q28474903 | The distribution of fitness effects of beneficial mutations in Pseudomonas aeruginosa |
Q42585639 | The distribution of fitness effects of new beneficial mutations in Pseudomonas fluorescens |
Q22122013 | The distribution of fitness effects of new mutations |
Q63379843 | The first steps in adaptive evolution |
Q28471969 | The fitness effects of random mutations in single-stranded DNA and RNA bacteriophages |
Q37229521 | The fixation probability of beneficial mutations |
Q24619981 | The genetic basis of laboratory adaptation in Caulobacter crescentus |
Q37353497 | The genetics of adaptation for eight microvirid bacteriophages |
Q57468602 | The genomic basis of tumor regression in Tasmanian devils (Sarcophilus harrisii) |
Q35095531 | The impact of spatial structure on viral genomic diversity generated during adaptation to thermal stress |
Q35568849 | The phenotype-fitness map in experimental evolution of phages |
Q28750090 | The population genetics of adaptation: multiple substitutions on a smooth fitness landscape |
Q33856621 | The population genetics of beneficial mutations |
Q30947119 | The properties of adaptive walks in evolving populations of fungus |
Q34576526 | The rate of compensatory mutation in the DNA bacteriophage phiX174 |
Q43183675 | The subtle benefits of being promiscuous: adaptive evolution potentiated by enzyme promiscuity |
Q27003480 | Towards the identification of the loci of adaptive evolution |
Q64999672 | Transition bias influences the evolution of antibiotic resistance in Mycobacterium tuberculosis. |
Q42276025 | Viral proteome size and CD8+ T cell epitope density are correlated: the effect of complexity on selection |
Q52783995 | [The genetic walk of evolution]. |
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