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MLPA-Based Analysis of Copy Number Variation in Plant Populations

Overview of attention for article published in Frontiers in Plant Science, February 2017
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Title
MLPA-Based Analysis of Copy Number Variation in Plant Populations
Published in
Frontiers in Plant Science, February 2017
DOI 10.3389/fpls.2017.00222
Pubmed ID
Authors

Anna Samelak-Czajka, Malgorzata Marszalek-Zenczak, Malgorzata Marcinkowska-Swojak, Piotr Kozlowski, Marek Figlerowicz, Agnieszka Zmienko

Abstract

Copy number variants (CNVs) are intraspecies duplications/deletions of large DNA segments (>1 kb). A growing number of reports highlight the functional and evolutionary impact of CNV in plants, increasing the need for appropriate tools that enable locus-specific CNV genotyping on a population scale. Multiplex ligation-dependent probe amplification (MLPA) is considered a gold standard in genotyping CNV in humans. Consequently, numerous commercial MLPA assays for CNV-related human diseases have been created. We routinely genotype complex multiallelic CNVs in human and plant genomes using the modified MLPA procedure based on fully synthesized oligonucleotide probes (90-200 nt), which greatly simplifies the design process and allows for the development of custom assays. Here, we present a step-by-step protocol for gene-specific MLPA probe design, multiplexed assay setup and data analysis in a copy number genotyping experiment in plants. As a case study, we present the results of a custom assay designed to genotype the copy number status of 12 protein coding genes in a population of 80 Arabidopsis accessions. The genes were pre-selected based on whole genome sequencing data and are localized in the genomic regions that display different levels of population-scale variation (non-variable, biallelic, or multiallelic, as well as CNVs overlapping whole genes or their fragments). The presented approach is suitable for population-scale validation of the CNV regions inferred from whole genome sequencing data analysis and for focused analysis of selected genes of interest. It can also be very easily adopted for any plant species, following optimization of the template amount and design of the appropriate control probes, according to the general guidelines presented in this paper.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 8 21%
Student > Bachelor 5 13%
Student > Doctoral Student 5 13%
Student > Postgraduate 2 5%
Other 5 13%
Unknown 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 36%
Biochemistry, Genetics and Molecular Biology 11 28%
Medicine and Dentistry 4 10%
Computer Science 1 3%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 8 21%
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 01 March 2017.
All research outputs
#20,407,586
of 22,957,478 outputs
Outputs from Frontiers in Plant Science
#16,283
of 20,389 outputs
Outputs of similar age
#270,767
of 310,766 outputs
Outputs of similar age from Frontiers in Plant Science
#396
of 511 outputs
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