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Protein change in plant evolution: tracing one thread connecting molecular and phenotypic diversity

Overview of attention for article published in Frontiers in Plant Science, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Protein change in plant evolution: tracing one thread connecting molecular and phenotypic diversity
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00382
Pubmed ID
Authors

Madelaine E. Bartlett, Clinton J. Whipple

Abstract

Proteins change over the course of evolutionary time. New protein-coding genes and gene families emerge and diversify, ultimately affecting an organism's phenotype and interactions with its environment. Here we survey the range of structural protein change observed in plants and review the role these changes have had in the evolution of plant form and function. Verified examples tying evolutionary change in protein structure to phenotypic change remain scarce. We will review the existing examples, as well as draw from investigations into domestication, and quantitative trait locus (QTL) cloning studies searching for the molecular underpinnings of natural variation. The evolutionary significance of many cloned QTL has not been assessed, but all the examples identified so far have begun to reveal the extent of protein structural diversity tolerated in natural systems. This molecular (and phenotypic) diversity could come to represent part of natural selection's source material in the adaptive evolution of novel traits. Protein structure and function can change in many distinct ways, but the changes we identified in studies of natural diversity and protein evolution were predicted to fall primarily into one of six categories: altered active and binding sites; altered protein-protein interactions; altered domain content; altered activity as an activator or repressor; altered protein stability; and hypomorphic and hypermorphic alleles. There was also variability in the evolutionary scale at which particular changes were observed. Some changes were detected at both micro- and macroevolutionary timescales, while others were observed primarily at deep or shallow phylogenetic levels. This variation might be used to determine the trajectory of future investigations in structural molecular evolution.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Colombia 1 1%
Chile 1 1%
France 1 1%
Canada 1 1%
Unknown 66 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 24%
Researcher 12 17%
Student > Bachelor 8 11%
Student > Master 5 7%
Professor > Associate Professor 3 4%
Other 8 11%
Unknown 18 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 45%
Biochemistry, Genetics and Molecular Biology 14 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Medicine and Dentistry 1 1%
Chemistry 1 1%
Other 1 1%
Unknown 21 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 October 2013.
All research outputs
#17,699,064
of 22,725,280 outputs
Outputs from Frontiers in Plant Science
#11,874
of 19,977 outputs
Outputs of similar age
#210,216
of 280,762 outputs
Outputs of similar age from Frontiers in Plant Science
#172
of 517 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,977 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 32nd percentile – i.e., 32% 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 280,762 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.