Evidence map›Paper›PMID 25589261›Full record

ArticleGenome biology and evolution2015

Simple phenotypic sweeps hide complex genetic changes in populations.

Ram P Maharjan, Bin Liu, Lu Feng, Thomas Ferenci, Lei Wang

Abstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ram P MaharjanSchool of Molecular Bioscience, University of Sydney, New South Wales, Australia.
Bin LiuTEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, People's Republic of China Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, Tianjin, People's Republic of China.
Lu FengTEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, People's Republic of China Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, Tianjin, People's Republic of China.
Thomas FerenciSchool of Molecular Bioscience, University of Sydney, New South Wales, Australia.
Lei WangTEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, People's Republic of China Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, Tianjin, People's Republic of China State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, People's Republic of China wanglei@nankai.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in allele frequencies and the fixation of beneficial mutations are central to evolution. The precise relationship between mutational and phenotypic sweeps is poorly described however, especially when multiple alleles are involved. Here, we investigate these relationships in a bacterial population over 60 days in a glucose-limited chemostat in a large population. High coverage metagenomic analysis revealed a disconnection between smooth phenotypic sweeps and the complexity of genetic changes in the population. Phenotypic adaptation was due to convergent evolution and involved soft sweeps by 7-26 highly represented alleles of several genes in different combinations. Allele combinations spread from undetectably low baselines, indicating that minor subpopulations provide the basis of most innovations. A hard sweep was also observed, involving a single combination of rpoS, mglD, malE, sdhC, and malT mutations sweeping to greater than 95% of the population. Other mutant genes persisted but at lower abundance, including hfq, consistent with its demonstrated frequency-dependent fitness under glucose limitation. Other persistent, newly identified low-frequency mutations were in the aceF, galF, ribD and asm genes, in noncoding regulatory regions, three large indels and a tandem duplication; these were less affected by fluctuations involving more dominant mutations indicating separate evolutionary paths. Our results indicate a dynamic subpopulation structure with a minimum of 42 detectable mutations maintained over 60 days. We also conclude that the massive population-level mutation supply in combination with clonal interference leads to the soft sweeps observed, but not to the exclusion of an occasional hard sweep.

Indexed as

Genes, BacterialAdaptation, PhysiologicalBiological EvolutionEscherichia coli K12Gene DuplicationGene FrequencyGenotypeINDEL MutationPhenotypeSequence Analysis, DNAE. coli genomeexperimental evolutionmetagenomicsmutational sweepsperiodic selection

Identifiers

PMID25589261
PMCPMC4350175

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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.