Research Topics
| R E LenskiSummaryAffiliation: Michigan State University Country: USA Publications
| Collaborators
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Detail Information
Publications
Genomic comparisons among Escherichia coli strains B, K-12, and O157:H7 using IS elements as molecular markersDominique Schneider
Laboratoire Plasticité et Expression des Génomes Microbiens, CNRS FRE2383, Universite Joseph Fourier, Grenoble, Fance
BMC Microbiol 2:18. 2002..Here, we map most of the IS elements in E. coli B and compare their locations with the published genomes of K-12 and O157:H7...
Bacterial evolution and the cost of antibiotic resistanceR E Lenski
Center for Microbial Ecology, Michigan State University 48824, USA
Int Microbiol 1:265-70. 1998..As a consequence, it becomes increasingly difficult to eliminate resistant genotypes simply by suspending the use of antibiotics...- Genome complexity, robustness and genetic interactions in digital organismsR E Lenski
Center for Microbial Ecology, Michigan State University, East Lansing 48824, USA
Nature 400:661-4. 1999..Frequent interactions among mutations have also been seen in bacteria, fungi and fruitflies. Our findings support the view that interactions are a general feature of genetic systems... - Punctuated evolution caused by selection of rare beneficial mutationsS F Elena
Center for Microbial Ecology, Michigan State University, East Lansing, 48824, USA
Science 272:1802-4. 1996..This experiment shows that the most elementary processes in population genetics can give rise to punctuated evolution dynamics... - Long-term experimental evolution in Escherichia coli. IV. Targets of selection and the specificity of adaptationM Travisano
Center for Microbial Ecology, Michigan State University, East Lansing 48824 1325, USA
Genetics 143:15-26. 1996.... - Genome-wide mutational diversity in an evolving population of Escherichia coliJ E Barrick
Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA
Cold Spring Harb Symp Quant Biol 74:119-29. 2009..Still finer-resolution details of the structure of genetic variation and how it changes over time in microbial evolution experiments will enable new applications and quantitative tests of population genetic theory... - The population genetics of ecological specialization in evolving Escherichia coli populationsV S Cooper
Center for Microbial Ecology, Michigan State University, East Lansing 48824, USA
Nature 407:736-9. 2000..Thus, antagonistic pleiotropy appears more important than mutation accumulation for the decay of unused catabolic functions in these populations... - Mechanisms causing rapid and parallel losses of ribose catabolism in evolving populations of Escherichia coli BV S Cooper
Center for Microbial Ecology, Michigan State University, East Lansing, Michigan 48824, USA
J Bacteriol 183:2834-41. 2001.... - Test of synergistic interactions among deleterious mutations in bacteriaS F Elena
Center for Microbial Ecology, Michigan State University, East Lansing 48824, USA
Nature 390:395-8. 1997..Several pairs exhibit significant interactions for fitness, but they are antagonistic as often as they are synergistic. These results do not support the mutational deterministic hypothesis for the evolution of sex... - Pervasive compensatory adaptation in Escherichia coliF B Moore
Center for Microbial Ecology, Michigan State University, East Lansing 48824, USA
Proc Biol Sci 267:515-22. 2000..coil genome which demands further study from both genetic and physiological perspectives... - The fate of competing beneficial mutations in an asexual populationP J Gerrish
Center for Microbial Ecology, Michigan State University, East Lansing 48824, USA
Genetica 102:127-44. 1998..Based on (2) and (3), we were able to estimate the beneficial mutation rate and the distribution of mutational effects from changes in mean fitness in an evolving E. coli population... - Diminishing returns from mutation supply rate in asexual populationsJ A Arjan
Center for Microbial Ecology, Michigan State University, East Lansing, MI 48824, USA
Science 283:404-6. 1999..These experiments also demonstrate a "speed limit" on adaptive evolution in asexual populations, one that is independent of the mutation supply rate... - Evolution of thermal dependence of growth rate of Escherichia coli populations during 20,000 generations in a constant environmentV S Cooper
Center for Microbial Ecology, Michigan State University, East Lansing 48824, USA
Evolution 55:889-96. 2001..Antagonistic pleiotropy therefore is more likely to be responsible for the evolution of thermal specialization observed in maximum growth rate... - Developmental cheating in the social bacterium Myxococcus xanthusG J Velicer
Department of Biochemistry, Michigan State University, East Lansing 48824, USA
Nature 404:598-601. 2000..The ease of finding anti-social behaviours suggests that cheaters may be common in natural populations of M. xanthus... - Parallel and divergent genotypic evolution in experimental populations of Ralstonia spC H Nakatsu
NSF Center for Microbial Ecology, Michigan State University, East Lansing, Michigan 48824, USA
J Bacteriol 180:4325-31. 1998..The common and uncommon genetic changes observed show that both parallel and divergent genotypic evolution occurred in replicate populations of this bacterium... - Contribution of individual random mutations to genotype-by-environment interactions in Escherichia coliS K Remold
Center for Microbial Ecology, Michigan State University, East Lansing, MI 48824, USA
Proc Natl Acad Sci U S A 98:11388-93. 2001..More generally, our findings demonstrate that GxE interactions can be quite common, even for genotypes that differ by only one mutation and in environments differing by only a single factor... - Rapid phenotypic change and diversification of a soil bacterium during 1000 generations of experimental evolutionM S Riley
Center for Microbial Ecology, Michigan State University, East Lansing, MI 48824, USA
Microbiology 147:995-1006. 2001..This diversity may represent a set of equally probable adaptive solutions to the selective environment; it may also arise from the chance fixation of non-adaptive mutations that hitchhiked with a more limited set of beneficial mutations... 
Historical and contingent factors affect re-evolution of a complex feature lost during mass extinction in communities of digital organismsG Yedid
Ecology, Evolutionary Biology, and Behaviour Program, Michigan State University, East Lansing, MI, USA
J Evol Biol 21:1335-57. 2008..Our results demonstrate that stochastic, historical, genomic and ecological factors can lead to constraints on further adaptation, and facilitate or hinder re-evolution of a complex feature...