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Maize (Zea mays L.) Genome Diversity as Revealed by RNA-Sequencing

Overview of attention for article published in PLOS ONE, March 2012
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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1 blog
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7 X users
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2 patents

Citations

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134 Dimensions

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251 Mendeley
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3 CiteULike
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Title
Maize (Zea mays L.) Genome Diversity as Revealed by RNA-Sequencing
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033071
Pubmed ID
Authors

Candice N. Hansey, Brieanne Vaillancourt, Rajandeep S. Sekhon, Natalia de Leon, Shawn M. Kaeppler, C. Robin Buell

Abstract

Maize is rich in genetic and phenotypic diversity. Understanding the sequence, structural, and expression variation that contributes to phenotypic diversity would facilitate more efficient varietal improvement. RNA based sequencing (RNA-seq) is a powerful approach for transcriptional analysis, assessing sequence variation, and identifying novel transcript sequences, particularly in large, complex, repetitive genomes such as maize. In this study, we sequenced RNA from whole seedlings of 21 maize inbred lines representing diverse North American and exotic germplasm. Single nucleotide polymorphism (SNP) detection identified 351,710 polymorphic loci distributed throughout the genome covering 22,830 annotated genes. Tight clustering of two distinct heterotic groups and exotic lines was evident using these SNPs as genetic markers. Transcript abundance analysis revealed minimal variation in the total number of genes expressed across these 21 lines (57.1% to 66.0%). However, the transcribed gene set among the 21 lines varied, with 48.7% expressed in all of the lines, 27.9% expressed in one to 20 lines, and 23.4% expressed in none of the lines. De novo assembly of RNA-seq reads that did not map to the reference B73 genome sequence revealed 1,321 high confidence novel transcripts, of which, 564 loci were present in all 21 lines, including B73, and 757 loci were restricted to a subset of the lines. RT-PCR validation demonstrated 87.5% concordance with the computational prediction of these expressed novel transcripts. Intriguingly, 145 of the novel de novo assembled loci were present in lines from only one of the two heterotic groups consistent with the hypothesis that, in addition to sequence polymorphisms and transcript abundance, transcript presence/absence variation is present and, thereby, may be a mechanism contributing to the genetic basis of heterosis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 5%
Brazil 3 1%
Germany 2 <1%
Belgium 2 <1%
Mexico 2 <1%
United Kingdom 2 <1%
Uruguay 1 <1%
Italy 1 <1%
France 1 <1%
Other 7 3%
Unknown 217 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 27%
Researcher 60 24%
Student > Master 33 13%
Professor > Associate Professor 14 6%
Professor 13 5%
Other 38 15%
Unknown 26 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 181 72%
Biochemistry, Genetics and Molecular Biology 24 10%
Computer Science 4 2%
Environmental Science 3 1%
Unspecified 1 <1%
Other 6 2%
Unknown 32 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 28 April 2020.
All research outputs
#2,150,488
of 22,663,969 outputs
Outputs from PLOS ONE
#27,372
of 193,506 outputs
Outputs of similar age
#13,327
of 158,020 outputs
Outputs of similar age from PLOS ONE
#457
of 3,624 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 85% 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 158,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 3,624 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.