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Contrasting effects of historical contingency on phenotypic and genomic trajectories during a two-step evolution experiment with bacteria

Overview of attention for article published in BMC Ecology and Evolution, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 blog
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8 X users

Citations

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15 Dimensions

Readers on

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50 Mendeley
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Title
Contrasting effects of historical contingency on phenotypic and genomic trajectories during a two-step evolution experiment with bacteria
Published in
BMC Ecology and Evolution, April 2016
DOI 10.1186/s12862-016-0662-8
Pubmed ID
Authors

Jessica Plucain, Antonia Suau, Stéphane Cruveiller, Claudine Médigue, Dominique Schneider, Mickaël Le Gac

Abstract

The impact of historical contingency, i.e. the past evolutionary history of a population, on further adaptation is mostly unknown at both the phenotypic and genomic levels. We addressed this question using a two-step evolution experiment. First, replicate populations of Escherichia coli were propagated in four different environmental conditions for 1000 generations. Then, all replicate populations were transferred and propagated for further 1000 generations to a single new environment. Using this two-step experimental evolution strategy, we investigated, at both the phenotypic and genomic levels, whether and how adaptation in the initial historical environments impacted evolutionary trajectories in a new environment. We showed that both the growth rate and fitness of the evolved populations obtained after the second step of evolution were contingent upon past evolutionary history. In contrast however, the genes that were modified during the second step of evolution were independent from the previous history of the populations. Our work suggests that historical contingency affects phenotypic adaptation to a new environment. This was however not reflected at the genomic level implying complex relationships between environmental factors and the genotype-to-phenotype map.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 4%
France 1 2%
Germany 1 2%
United States 1 2%
Poland 1 2%
Unknown 44 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 40%
Researcher 8 16%
Student > Bachelor 6 12%
Student > Master 4 8%
Student > Doctoral Student 2 4%
Other 4 8%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 52%
Biochemistry, Genetics and Molecular Biology 5 10%
Environmental Science 4 8%
Unspecified 2 4%
Engineering 2 4%
Other 3 6%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 March 2018.
All research outputs
#3,105,127
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#820
of 3,714 outputs
Outputs of similar age
#47,420
of 313,367 outputs
Outputs of similar age from BMC Ecology and Evolution
#13
of 70 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.