Single nucleotide polymorphism markers in Heterorhabditis bacteriophora associated with virulence at low temperature
Autor: | Giulia Godina, Carlotta Kirsch, Verena Dörfler, Mike Barg, Phougeishangbam Rolish Singh, Bart Vandenbossche, Olaf Strauch, Ralf-Udo Ehlers, Carlos Molina |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Nematology. 24:925-938 |
ISSN: | 1568-5411 1388-5545 |
DOI: | 10.1163/15685411-bja10181 |
Popis: | Summary The entomopathogenic nematode (EPN), Heterorhabditis bacteriophora, is an important biological control agent worldwide. Industrially produced EPN need to meet the climatic requirements for the control of pests in field agriculture in autumn and spring when temperatures are low. For this trait (virulence at low temperature), previous EPN improvement attempts relied on phenotypic selection and the selected trait had low stability. The use of molecular markers can increase the efficacy of EPN breeding by tracking traits associated with specific genotypes. To date, fewer than 200 polymorphic and reproducible sequence-tagged molecular markers in H. bacteriophora have been reported. Here, we enhanced the palette of highly polymorphic genetic markers for this EPN by applying genotyping by sequencing (GBS). By analysing 48 H. bacteriophora homozygous wild-type inbred lines from different origins, we determined 4894 single nucleotide polymorphisms (SNPs) with at least one polymorphism along the tested set. For validation, we designed robust PCR assays for seven SNPs, finding 95% correspondence with the expected genotypes along 294 analysed alleles. We phenotyped all lines for their virulence at low temperature (15°C) against mealworm and observed infectivity ranging from 38 to 80%. Further, we carried out association analyses between genotypic and phenotypic data and determined two SNPs yielding potential association with H. bacteriophora virulence at low temperature. The use of these candidate SNPs as breeding markers will speed up the generation of strains better adapted to low temperature in this species. The generated set of lines and SNP data are a versatile tool applicable for further traits in this EPN. |
Databáze: | OpenAIRE |
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