Matches in SemOpenAlex for { <https://semopenalex.org/work/W3182183885> ?p ?o ?g. }
- W3182183885 endingPage "1118" @default.
- W3182183885 startingPage "1103" @default.
- W3182183885 abstract "Technological advances in genome sequencing have improved our ability to catalog genomic variation and have led to an expansion of the scope and scale of genetic studies over the past decade. Yet, for agronomically important plant pathogens such as the downy mildews (Peronosporaceae), the scale of genetic studies remains limited. This is, in part, due to the difficulties associated with maintaining obligate pathogens and the logistical constraints involved in the genotyping of these species (e.g., obtaining DNA of sufficient quantity and quality). To gain an evolutionary and ecological perspective of downy mildews, adaptable methods for the genotyping of their populations are required. Here, we describe a targeted enrichment (TE) protocol to genotype isolates from two Pseudoperonospora species (P. cubensis and P. humuli), using less than 50 ng of mixed pathogen and plant DNA for library preparation. We were able to enrich 830 target genes across 128 samples and identified 2,514 high-quality single nucleotide polymorphism (SNP) variants. Using these SNPs, we detected significant genetic differentiation (analysis of molecular variance [AMOVA], P = 0.01) between P. cubensis subpopulations from Cucurbita moschata (clade I) and Cucumis sativus (clade II) in the state of Michigan. No evidence of location-based differentiation was detected within the P. cubensis (clade II) subpopulation in Michigan. However, a significant effect of location on the genetic variation of the P. humuli subpopulation was detected in the state (AMOVA, P = 0.01). Mantel tests found evidence that the genetic distance among P. humuli samples was associated with the physical distance of the hop yards from which the samples were collected (P = 0.005). The differences in the distribution of genetic variation of the Michigan P. humuli and P. cubensis subpopulations suggest differences in the dispersal of these two species. The TE protocol described here provides an additional tool for genotyping obligate biotrophic plant pathogens and the execution of new genetic studies.[Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license." @default.
- W3182183885 created "2021-07-19" @default.
- W3182183885 creator A5003190184 @default.
- W3182183885 creator A5034898189 @default.
- W3182183885 creator A5057246750 @default.
- W3182183885 date "2021-10-01" @default.
- W3182183885 modified "2023-09-27" @default.
- W3182183885 title "Application of Target Enrichment Sequencing for Population Genetic Analyses of the Obligate Plant Pathogens <i>Pseudoperonospora cubensis</i> and <i>P. humuli</i> in Michigan" @default.
- W3182183885 cites W1536142406 @default.
- W3182183885 cites W1640834147 @default.
- W3182183885 cites W1836971954 @default.
- W3182183885 cites W1892370988 @default.
- W3182183885 cites W1961518103 @default.
- W3182183885 cites W1971525671 @default.
- W3182183885 cites W1976815353 @default.
- W3182183885 cites W1993643366 @default.
- W3182183885 cites W1995875735 @default.
- W3182183885 cites W2006021810 @default.
- W3182183885 cites W2016603972 @default.
- W3182183885 cites W2020323018 @default.
- W3182183885 cites W2026129783 @default.
- W3182183885 cites W2031169538 @default.
- W3182183885 cites W2038505573 @default.
- W3182183885 cites W2040825993 @default.
- W3182183885 cites W2061566613 @default.
- W3182183885 cites W2068129300 @default.
- W3182183885 cites W2079377137 @default.
- W3182183885 cites W2087189381 @default.
- W3182183885 cites W2089101717 @default.
- W3182183885 cites W2096883016 @default.
- W3182183885 cites W2098690579 @default.
- W3182183885 cites W2102619694 @default.
- W3182183885 cites W2103441770 @default.
- W3182183885 cites W2104595023 @default.
- W3182183885 cites W2106850142 @default.
- W3182183885 cites W2108234281 @default.
- W3182183885 cites W2116264130 @default.
- W3182183885 cites W2116585889 @default.
- W3182183885 cites W2119238457 @default.
- W3182183885 cites W2121531763 @default.
- W3182183885 cites W2126195525 @default.
- W3182183885 cites W2130517250 @default.
- W3182183885 cites W2131271579 @default.
- W3182183885 cites W2132466944 @default.
- W3182183885 cites W2137355669 @default.
- W3182183885 cites W2138338556 @default.
- W3182183885 cites W2157667924 @default.
- W3182183885 cites W2160506991 @default.
- W3182183885 cites W2165725065 @default.
- W3182183885 cites W2227449736 @default.
- W3182183885 cites W2267279674 @default.
- W3182183885 cites W2302590481 @default.
- W3182183885 cites W2435275176 @default.
- W3182183885 cites W2443151087 @default.
- W3182183885 cites W2472352292 @default.
- W3182183885 cites W2473818600 @default.
- W3182183885 cites W2486598580 @default.
- W3182183885 cites W2509484426 @default.
- W3182183885 cites W2517291540 @default.
- W3182183885 cites W2523895764 @default.
- W3182183885 cites W2569995699 @default.
- W3182183885 cites W2611916597 @default.
- W3182183885 cites W2615514063 @default.
- W3182183885 cites W2733113273 @default.
- W3182183885 cites W2792021252 @default.
- W3182183885 cites W2792595835 @default.
- W3182183885 cites W2895591362 @default.
- W3182183885 cites W2895663117 @default.
- W3182183885 cites W2917626563 @default.
- W3182183885 cites W2926630231 @default.
- W3182183885 cites W2940391028 @default.
- W3182183885 cites W2949942731 @default.
- W3182183885 cites W2950832191 @default.
- W3182183885 cites W2951054803 @default.
- W3182183885 cites W2952176078 @default.
- W3182183885 cites W2966317975 @default.
- W3182183885 cites W2971555992 @default.
- W3182183885 cites W3016331536 @default.
- W3182183885 cites W3048806073 @default.
- W3182183885 cites W3085284435 @default.
- W3182183885 cites W3098747800 @default.
- W3182183885 cites W3105939366 @default.
- W3182183885 doi "https://doi.org/10.1094/mpmi-11-20-0329-ta" @default.
- W3182183885 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34227836" @default.
- W3182183885 hasPublicationYear "2021" @default.
- W3182183885 type Work @default.
- W3182183885 sameAs 3182183885 @default.
- W3182183885 citedByCount "2" @default.
- W3182183885 countsByYear W31821838852023 @default.
- W3182183885 crossrefType "journal-article" @default.
- W3182183885 hasAuthorship W3182183885A5003190184 @default.
- W3182183885 hasAuthorship W3182183885A5034898189 @default.
- W3182183885 hasAuthorship W3182183885A5057246750 @default.
- W3182183885 hasBestOaLocation W31821838851 @default.
- W3182183885 hasConcept C104317684 @default.
- W3182183885 hasConcept C144024400 @default.
- W3182183885 hasConcept C149923435 @default.
- W3182183885 hasConcept C2779432473 @default.