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Modeling the Morphometric Evolution of the Maize Shoot Apical Meristem

Overview of attention for article published in Frontiers in Plant Science, November 2016
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Modeling the Morphometric Evolution of the Maize Shoot Apical Meristem
Published in
Frontiers in Plant Science, November 2016
DOI 10.3389/fpls.2016.01651
Pubmed ID
Authors

Samuel Leiboff, Christopher K DeAllie, Michael J Scanlon

Abstract

The maize (Zea mays subsp. mays L.) shoot apical meristem (SAM) is a self-replenishing pool of stem cells that produces all above-ground plant tissues. Improvements in image acquisition and processing techniques have allowed high-throughput, quantitative genetic analyses of SAM morphology. As with other large-scale phenotyping efforts, meaningful descriptions of genetic architecture depend on the collection of relevant measures. In this study, we tested two quantitative image processing methods to describe SAM morphology within the genus Zea, represented by 33 wild relatives of maize and 841 lines from a domesticated maize by wild teosinte progenitor (MxT) backcross population, along with previously reported data from several hundred diverse maize inbred lines. Approximating the MxT SAM as a paraboloid derived eight parabolic estimators of SAM morphology that identified highly overlapping quantitative trait loci (QTL) on eight chromosomes, which implicated previously identified SAM morphology candidate genes along with new QTL for SAM morphological variation. Using a Fourier-transform related method of comprehensive shape analysis, we detected cryptic SAM shape variation that identified QTL on six chromosomes. We found that Fourier transform shape descriptors and parabolic estimation measures are highly correlated and identified similar QTL. Analysis of shoot apex contours from 73 anciently diverged plant taxa further suggested that parabolic shape may be a universal feature of plant SAMs, regardless of evolutionary clade. Future high-throughput examinations of SAM morphology may benefit from the ease of acquisition and phenotypic fidelity of modeling the SAM as a paraboloid.

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The data shown below were collected from the profiles of 5 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Poland 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 28%
Student > Master 4 11%
Student > Bachelor 3 8%
Other 3 8%
Professor 3 8%
Other 6 17%
Unknown 7 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 50%
Biochemistry, Genetics and Molecular Biology 6 17%
Veterinary Science and Veterinary Medicine 1 3%
Nursing and Health Professions 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 9 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 November 2016.
All research outputs
#7,698,932
of 24,140,950 outputs
Outputs from Frontiers in Plant Science
#4,738
of 22,552 outputs
Outputs of similar age
#110,968
of 315,726 outputs
Outputs of similar age from Frontiers in Plant Science
#68
of 430 outputs
Altmetric has tracked 24,140,950 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 22,552 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 78% 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 315,726 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 430 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.