Microbial evolution. Global epistasis makes adaptation predictable despite sequence-level stochasticity.
about
Elucidating the molecular architecture of adaptation via evolve and resequence experimentsWhat can we learn from fitness landscapes?Environmental Epigenetics and a Unified Theory of the Molecular Aspects of Evolution: A Neo-Lamarckian Concept that Facilitates Neo-Darwinian EvolutionThe spectrum of adaptive mutations in experimental evolutionTowards the identification of the loci of adaptive evolutionA genomic and evolutionary approach reveals non-genetic drug resistance in malariaConcerted evolution of life stage performances signals recent selection on yeast nitrogen use.Genomic investigations of evolutionary dynamics and epistasis in microbial evolution experimentsStrong Selection Significantly Increases Epistatic Interactions in the Long-Term Evolution of a ProteinConvergent Evolution of Hemoglobin Function in High-Altitude Andean Waterfowl Involves Limited Parallelism at the Molecular Sequence LevelContrasting effects of historical contingency on phenotypic and genomic trajectories during a two-step evolution experiment with bacteriaThe Valley-of-Death: reciprocal sign epistasis constrains adaptive trajectories in a constant, nutrient limiting environmentThe functional basis of adaptive evolution in chemostatsSulfur isotope fractionation during the evolutionary adaptation of a sulfate-reducing bacteriumEpistasis constrains mutational pathways of hemoglobin adaptation in high-altitude pikasWidespread Genetic Incompatibilities between First-Step Mutations during Parallel Adaptation of Saccharomyces cerevisiae to a Common EnvironmentDetecting High-Order Epistasis in Nonlinear Genotype-Phenotype MapsDeleterious Passengers in Adapting PopulationsFitness Inference from Short-Read Data: Within-Host Evolution of a Reassortant H5N1 Influenza VirusAdaptive Roles of SSY1 and SIR3 During Cycles of Growth and Starvation in Saccharomyces cerevisiae Populations Enriched for Quiescent or Nonquiescent Cells.HIV-1 therapy with monoclonal antibody 3BNC117 elicits host immune responses against HIV-1.The impact of macroscopic epistasis on long-term evolutionary dynamicsToo much of a good thing: the unique and repeated paths toward copper adaptation.The evolutionarily stable distribution of fitness effectsInexpensive multiplexed library preparation for megabase-sized genomes.Polyploidy can drive rapid adaptation in yeast.Practical low-coverage genomewide sequencing of hundreds of individually barcoded samples for population and evolutionary genomics in nonmodel species.High-Throughput Identification of Adaptive Mutations in Experimentally Evolved Yeast Populations.iSeq: A New Double-Barcode Method for Detecting Dynamic Genetic Interactions in Yeast.Evolutionary adaptation after crippling cell polarization follows reproducible trajectories.Seeking Goldilocks During Evolution of Drug Resistance.Metabolite toxicity determines the pace of molecular evolution within microbial populationsExperimental Evolution of Escherichia coli Harboring an Ancient Translation Proteinswga: A primer design toolkit for selective whole genome amplification.Multidrug-resistant bacteria compensate for the epistasis between resistances.Identification of the potentiating mutations and synergistic epistasis that enabled the evolution of inter-species cooperation.High-order epistasis shapes evolutionary trajectories.Polymorphisms in the yeast galactose sensor underlie a natural continuum of nutrient-decision phenotypes.First-Step Mutations during Adaptation Restore the Expression of Hundreds of Genes.Gyrase Mutations Are Associated with Variable Levels of Fluoroquinolone Resistance in Mycobacterium tuberculosis
P2860
Q26783005-033AF16D-83A3-4D71-857B-A54844688489Q26830367-2C2E4C20-14C9-4377-AC37-CE22A6F35464Q26852246-3438CABC-787A-400E-A72F-8C6BEAE62E63Q26864257-36E65EA6-0DA8-464D-82BB-9DCE20B206AEQ27003480-9E6B4B38-D34F-43B9-A7EE-A718003B923EQ27861944-0AA96D35-B779-4571-913F-7C5BF55B1AF9Q27938036-D046E3FB-E80C-4F70-A3A9-5B6F0530F3D4Q28082330-F6AF8300-3B88-48C7-8650-5D1C20841651Q28551065-71E316B8-E4C2-4574-9660-1F3D6B938018Q28551346-E7463AC0-1679-4AC8-9D47-F78B57135EA2Q28603871-2F336D60-A60D-439F-93D8-E728D5F02F97Q28646039-04F0D753-58F8-4FB2-8E51-0B8BF2302BA7Q28649903-2F8A9AD6-FE4A-4942-80B1-B51CB0CF745BQ28651496-CBB70839-91E6-4ABD-BE52-7021E95C5F62Q28652130-E1366AC1-7C9C-4F56-B353-5EB0CE91019EQ28818537-FAB1FC2E-D503-4B65-BE14-F4B734BAC0F4Q29002206-75538481-7D51-4AD3-ADD9-0B96CFA092DDQ29011147-3CD5337B-4D6F-4256-976B-C9FB983DE7EFQ30985242-7FA0E672-AC77-4180-9A10-62395D264A4FQ33807670-CB43D21B-5ACD-464D-9DA9-05B19EE6DDA8Q34527469-C62FDBCB-ED91-447F-874D-560AC1438478Q34864177-07214886-037F-496B-BED3-47F9EF0CB801Q35050923-1E7EFC17-855E-455D-B889-92BADE3C1ABBQ35579831-AC93FFA0-5D7B-48C9-B143-0941E4D6F9E6Q35636993-444AED11-4CA7-41F8-8EA5-3C9450D79A3BQ35835073-EBFF3BC5-4D98-4DCA-958D-233EFFACCA83Q36096596-AFFE9F16-F08A-4437-A065-8D570BE41281Q36160359-DB2FC0B4-E195-4218-9D06-5A0DC56E8C73Q36185016-60ECBED5-2109-440A-8A5C-01575AB53669Q36242283-7A6344CF-7196-461C-A99D-241A43B2F30CQ36269559-0FF6E08B-EC11-42FC-92FE-A0551FB76BF3Q36280245-E61500C1-1BB4-49C3-B3BC-B38AA1B36398Q36289151-4FD2ED4C-AABD-4921-90FE-C70144908B6AQ36320316-2D881C8C-4D94-405B-8B23-0838323B7A42Q36349644-B9C21A95-AE87-4AAC-9F03-76D01B7114CDQ36368892-81888467-CE64-4800-9CF0-7F157EDD38B2Q36372082-854EDA62-ABB6-422C-8C6A-D35435983B04Q36380064-CE122750-5562-4ECB-8A66-7CA332839D15Q36410897-74889A7A-D508-423A-AD0A-0B406F2057B0Q36620922-73289208-CD4A-477E-AE53-644A6695CD88
P2860
Microbial evolution. Global epistasis makes adaptation predictable despite sequence-level stochasticity.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Microbial evolution. Global ep ...... sequence-level stochasticity.
@en
Microbial evolution. Global ep ...... sequence-level stochasticity.
@nl
type
label
Microbial evolution. Global ep ...... sequence-level stochasticity.
@en
Microbial evolution. Global ep ...... sequence-level stochasticity.
@nl
prefLabel
Microbial evolution. Global ep ...... sequence-level stochasticity.
@en
Microbial evolution. Global ep ...... sequence-level stochasticity.
@nl
P2860
P356
P1433
P1476
Microbial evolution. Global ep ...... sequence-level stochasticity.
@en
P2093
Daniel P Rice
Sergey Kryazhimskiy
P2860
P304
P356
10.1126/SCIENCE.1250939
P407
P577
2014-06-01T00:00:00Z