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A High-Throughput Standard PCR-Based Genotyping Method for Determining Transgene Zygosity in Segregating Plant Populations

Overview of attention for article published in Frontiers in Plant Science, July 2017
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
A High-Throughput Standard PCR-Based Genotyping Method for Determining Transgene Zygosity in Segregating Plant Populations
Published in
Frontiers in Plant Science, July 2017
DOI 10.3389/fpls.2017.01252
Pubmed ID
Authors

Lige Geng, Dewayne D. Deng, Martin J. Wubben, Johnie N. Jenkins, Jack C. McCarty, Ibrokhim Abdurakhmonov

Abstract

In crop research programs that implement transgene-based strategies for trait improvement it is necessary to distinguish between transgene homozygous and hemizygous individuals in segregating populations. Direct methods for determining transgene zygosity are technically challenging, expensive, and require specialized equipment. In this report, we describe a standard PCR-based protocol coupled with capillary electrophoresis that can identify transgene homozygous and hemizygous individuals in a segregating population without knowledge of transgene insertion site. PCR primers were designed to amplify conserved T-DNA segments of the 35S promoter, OCS terminator, and NPTII kanamycin resistance gene in the pHellsgate-8 RNAi construct for the Gossypium hirsutum phytochrome A1 gene. Using an optimized multiplexed reaction mixture and an amplification program of only 10 cycles we could discriminate between transgene homozygous and hemizygous cotton control DNA samples based on PCR product peak characteristics gathered by capillary electrophoresis. The protocol was refined by evaluating segregating transgenic progeny from nine BC1S1 populations derived from crosses between the transgenic cotton parent 'E-1-7-6' and other cotton cultivars. OCS PCR product peak height and peak area, normalized by amplification of the native cotton gene GhUBC1, revealed clear bimodal distributions of OCS product characteristics for each BC1S1 population indicating the presence of homozygous and hemizygous clusters which was further confirmed via K-means clustering. BC1S1 plants identified as homozygous or hemizygous were self-fertilized to produce BC1S2 progeny. For the homozygous class, 19/20 BC1S2 families confirmed the homozygous BC1S1 prediction while 21/21 BC1S2 families confirmed the hemizygous prediction of the original parent. This relatively simple protocol provides a reliable, rapid, and high-throughput way of evaluating segregating transgenic populations using methods and equipment common to crop molecular breeding labs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Master 2 11%
Student > Bachelor 2 11%
Unspecified 1 6%
Other 1 6%
Other 2 11%
Unknown 5 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 44%
Biochemistry, Genetics and Molecular Biology 2 11%
Unspecified 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Psychology 1 6%
Other 1 6%
Unknown 4 22%
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 28 August 2017.
All research outputs
#7,753,901
of 23,571,271 outputs
Outputs from Frontiers in Plant Science
#5,081
of 21,651 outputs
Outputs of similar age
#121,270
of 317,174 outputs
Outputs of similar age from Frontiers in Plant Science
#139
of 515 outputs
Altmetric has tracked 23,571,271 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 21,651 research outputs from this source. They receive a mean Attention Score of 3.9. 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 317,174 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 53% of its contemporaries.
We're also able to compare this research output to 515 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 72% of its contemporaries.