Single Nucleotide Polymorphism Analysis Using KASP Assay Reveals Genetic Variability in Rotylenchulus reniformis
| Autor: | E. C. McGawley, Salliana R. Stetina, Manjula Kularathna, Jeffery D. Ray, C. Overstreet, Churamani Khanal |
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| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
0301 basic medicine Genetics Genetic diversity education Single-nucleotide polymorphism Helminth genetics Plant Science Biology biology.organism_classification 01 natural sciences 03 medical and health sciences 030104 developmental biology Genetic marker Genetic variation Genetic variability Rotylenchulus reniformis Agronomy and Crop Science Genotyping health care economics and organizations 010606 plant biology & botany |
| Zdroj: | Plant Disease. 103:1835-1842 |
| ISSN: | 1943-7692 0191-2917 |
| Popis: | This study employed single nucleotide polymorphisms (SNPs) to determine the genetic variability present in 26 isolates of Rotylenchulus reniformis from Louisiana, Mississippi, Arkansas, South Carolina, Georgia, Hawaii, and Alabama. Genomic DNA from reniform nematode was extracted and increased quantitatively using the process of whole genome amplification. More than 162 putative SNPs were identified, 31 of which were tested using a KASP kompetitive allele-specific PCR genotyping assay. Of the SNPs tested, 13, 17, and 19 SNPs revealed genetic variability within reniform nematode isolates from Louisiana, Mississippi, and Arkansas, respectively. Seven SNPs elucidated genetic differences among isolates of reniform nematode from Louisiana, Mississippi, and Arkansas. Eight SNPs determined genetic variability among individual isolates from South Carolina, Georgia, Hawaii, and Alabama. This study is the first to report genetic variability in geographic isolates of reniform nematode employing a SNP assay. This study also demonstrated that SNP markers can be used to evaluate isolates of R. reniformis and could be useful to assess their genetic diversity, origin, and distribution. Such information would be extremely useful in resistance breeding programs. |
| Databáze: | OpenAIRE |
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