2019
DOI: 10.1111/1755-0998.13032
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Inference of individual ploidy level using codominant markers

Abstract: A significant portion of plant species are polyploids, with ploidy levels sometimes varying among individuals and/or populations. Current techniques to determine the individual ploidy, e.g., flow cytometry, chromosome counting or genotyping‐by‐sequencing, are often cumbersome. Based on the genotypic probabilities for polysomic inheritance under double‐reduction, we developed a model to estimate allele frequency and infer the ploidy status of individuals from the allelic phenotypes of codominant genetic markers… Show more

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Cited by 6 publications
(3 citation statements)
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“…Polyploids are a group of plants with great importance in plant evolutionary studies and plant breeding. Although there is a rich body of literature on quantitative genetic dissection of complex traits based on artificial crosses [ 23 , 24 , 25 ], only a few studies have investigated the population genetic diversity of polyploids [ 4 , 15 , 16 , 26 , 27 ]. There are few methodological studies that describe analytical models for population and evolutionary genetics in polyploids by considering the structural and organizational complexities of polyploid genomes [ 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…Polyploids are a group of plants with great importance in plant evolutionary studies and plant breeding. Although there is a rich body of literature on quantitative genetic dissection of complex traits based on artificial crosses [ 23 , 24 , 25 ], only a few studies have investigated the population genetic diversity of polyploids [ 4 , 15 , 16 , 26 , 27 ]. There are few methodological studies that describe analytical models for population and evolutionary genetics in polyploids by considering the structural and organizational complexities of polyploid genomes [ 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…The genotypes at 20 tetra‐allelic loci for these individuals were generated under the PRCS model (Datasets A‐D) or the RCS/disomic model (Dataset E‐G) and then converted into phenotypes. The true values of the compared statistics were derived using the methods of Huang, Dunn, Li, et al (), Huang, Wang, et al (), and are shown in Table .…”
Section: Simulations and Comparisonsmentioning
confidence: 99%
“…Nevertheless, flow cytometry is still limited by the quality and age of the material and requires bringing material to the lab. Similar restrictions apply to other methods that generate ploidy information parallel to genotyping, such as microsatellite analyses (Huang et al, 2019) or genotyping-by-sequencing (Gompert and Mock, 2017;Siadjeu et al, 2018).…”
mentioning
confidence: 99%