ArticleMolecular biology and evolution2009
Transcription, translation, and the evolution of specialists and generalists.
Article in Molecular biology and evolution, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 43 citations in OpenAlex.
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- Adaptive Landscapes in the Age of Synthetic Biology.Molecular biology and evolution · 2019Review
- Recurrent Reverse Evolution Maintains Polymorphism after Strong Bottlenecks in Commensal Gut Bacteria.Molecular biology and evolution · 2017Article
- Predicting metabolic adaptation from networks of mutational paths.Nature communications · 2017Article
- Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?Molecular ecology · 2016Review
- Review
- Ex uno plures: clonal reinforcement drives evolution of a simple microbial community.PLoS genetics · 2014Article
- Adaptive regulatory substitutions affect multiple stages in the life cycle of the bacteriophage φX174.BMC evolutionary biology · 2013Article
- Escherichia coli ATCC 8739 Adapts to the Presence of Sodium Chloride, Monosodium Glutamate, and Benzoic Acid after Extended Culture.ISRN microbiology · 2012Article
- The renaissance of continuous culture in the post-genomics age.Journal of industrial microbiology & biotechnology · 2010Article
- Evolutionary microbial genomics: insights into bacterial host adaptation.Nature reviews. Genetics · 2010Review
- Diversity of phylogenetic information according to the locus and the taxonomic level: an example from a parasitic mesostigmatid mite genus.International journal of molecular sciences · 2010Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
We used DNA microarrays to measure transcription and iTRAQ 2D liquid chromatography-mass spectrometry/mass spectrometry (a mass-tag labeling proteomic technique) to measure protein expression in 14 strains of Escherichia coli adapted for hundreds of generations to growth-limiting concentrations of either lactulose, methylgalactoside, or a 72:28 mixture of the two. The two ancestors, TD2 and TD10, differ only in their lac operons and have similar transcription and protein expression profiles. Changes in transcription and protein expression are observed at 30-250 genes depending on the evolved strain. Lactulose specialists carry duplications of the lac operon and show increased transcription and translation at lac. Methylgalactoside specialists are galS(-) and so constitutively transcribe and translate mgl, which encodes a transporter of methylgalactoside. However, there are two strains that carry lac duplications, are galS(-), and show increased transcription and translation at both operons. One is a generalist, the other a lactulose specialist. The generalist fails to sweep to fixation because its lac(+), galS(+) competitor expresses the csg adhesin and sticks to the chemostat wall, thereby preventing complete washout. Transcription and translation are sometimes decoupled. Lactulose-adapted strains show increased protein expression at fru, a fructose transporter, without evidence of increased transcription. This suggests that fructose, produced by the action of beta-galactosidase on lactulose, may leach from cells before being recouped. Reduced expression, at "late" flagella genes and the constitutive gat operon, is an adaptation to starvation. A comparison with two other long-term evolution experiments suggests that certain aspects of adaptation are predictable, some are characteristic of an experimental system, whereas others seem erratic.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.