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Functional Genomics of Physiological Plasticity and Local Adaptation in Killifish

Overview of attention for article published in Journal of Heredity, June 2010
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2 Wikipedia pages

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186 Mendeley
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Article details
Title
Functional Genomics of Physiological Plasticity and Local Adaptation in Killifish
Published in
Journal of Heredity, June 2010
DOI 10.1093/jhered/esq077
Pubmed ID
Authors
Abstract

Evolutionary solutions to the physiological challenges of life in highly variable habitats can span the continuum from evolution of a cosmopolitan plastic phenotype to the evolution of locally adapted phenotypes. Killifish (Fundulus sp.) have evolved both highly plastic and locally adapted phenotypes within different selective contexts, providing a comparative system in which to explore the genomic underpinnings of physiological plasticity and adaptive variation. Importantly, extensive variation exists among populations and species for tolerance to a variety of stressors, and we exploit this variation in comparative studies to yield insights into the genomic basis of evolved phenotypic variation. Notably, species of Fundulus occupy the continuum of osmotic habitats from freshwater to marine and populations within Fundulus heteroclitus span far greater variation in pollution tolerance than across all species of fish. Here, we explore how transcriptome regulation underpins extreme physiological plasticity on osmotic shock and how genomic and transcriptomic variation is associated with locally evolved pollution tolerance. We show that F. heteroclitus quickly acclimate to extreme osmotic shock by mounting a dramatic rapid transcriptomic response including an early crisis control phase followed by a tissue remodeling phase involving many regulatory pathways. We also show that convergent evolution of locally adapted pollution tolerance involves complex patterns of gene expression and genome sequence variation, which is confounded with body-weight dependence for some genes. Similarly, exploiting the natural phenotypic variation associated with other established and emerging model organisms is likely to greatly accelerate the pace of discovery of the genomic basis of phenotypic variation.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 7 4%
United Kingdom 3 2%
France 2 1%
Netherlands 1 <1%
Mexico 1 <1%
Germany 1 <1%
Czechia 1 <1%
Canada 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 168 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 50 27%
Researcher 42 23%
Student > Bachelor 16 9%
Student > Master 15 8%
Student > Doctoral Student 14 8%
Other 31 17%
Unknown 18 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 111 60%
Biochemistry, Genetics and Molecular Biology 23 12%
Environmental Science 14 8%
Earth and Planetary Sciences 3 2%
Social Sciences 3 2%
Other 12 6%
Unknown 20 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 October 2020.
All research outputs
#9,515,738
of 27,782,313 outputs
Outputs from Journal of Heredity
#747
of 1,973 outputs
Outputs of similar age
#43,201
of 114,915 outputs
Outputs of similar age from Journal of Heredity
#4
of 13 outputs
Altmetric has tracked 27,782,313 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,973 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 114,915 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.