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Gene Evolutionary Trajectories and GC Patterns Driven by Recombination in Zea mays

Overview of attention for article published in Frontiers in Plant Science, September 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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26 Mendeley
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Title
Gene Evolutionary Trajectories and GC Patterns Driven by Recombination in Zea mays
Published in
Frontiers in Plant Science, September 2016
DOI 10.3389/fpls.2016.01433
Pubmed ID
Authors

Anitha Sundararajan, Stefanie Dukowic-Schulze, Madeline Kwicklis, Kayla Engstrom, Nathan Garcia, Oliver J. Oviedo, Thiruvarangan Ramaraj, Michael D. Gonzales, Yan He, Minghui Wang, Qi Sun, Jaroslaw Pillardy, Shahryar F. Kianian, Wojciech P. Pawlowski, Changbin Chen, Joann Mudge

Abstract

Recombination occurring during meiosis is critical for creating genetic variation and plays an essential role in plant evolution. In addition to creating novel gene combinations, recombination can affect genome structure through altering GC patterns. In maize (Zea mays) and other grasses, another intriguing GC pattern exists. Maize genes show a bimodal GC content distribution that has been attributed to nucleotide bias in the third, or wobble, position of the codon. Recombination may be an underlying driving force given that recombination sites are often associated with high GC content. Here we explore the relationship between recombination and genomic GC patterns by comparing GC gene content at each of the three codon positions (GC1, GC2, and GC3, collectively termed GCx) to instances of a variable GC-rich motif that underlies double strand break (DSB) hotspots and to meiocyte-specific gene expression. Surprisingly, GCx bimodality in maize cannot be fully explained by the codon wobble hypothesis. High GCx genes show a strong overlap with the DSB hotspot motif, possibly providing a mechanism for the high evolutionary rates seen in these genes. On the other hand, genes that are turned on in meiosis (early prophase I) are biased against both high GCx genes and genes with the DSB hotspot motif, possibly allowing important meiotic genes to avoid DSBs. Our data suggests a strong link between the GC-rich motif underlying DSB hotspots and high GCx genes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 38%
Other 3 12%
Student > Ph. D. Student 2 8%
Student > Master 2 8%
Professor 1 4%
Other 2 8%
Unknown 6 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 46%
Biochemistry, Genetics and Molecular Biology 5 19%
Computer Science 3 12%
Unknown 6 23%
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 01 October 2019.
All research outputs
#7,488,078
of 22,889,074 outputs
Outputs from Frontiers in Plant Science
#4,843
of 20,291 outputs
Outputs of similar age
#114,509
of 321,009 outputs
Outputs of similar age from Frontiers in Plant Science
#79
of 409 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,291 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 75% 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 321,009 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 51% of its contemporaries.
We're also able to compare this research output to 409 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.