Multi-parental fungal mapping population study to detect genomic regions associated with Pyrenophora teres f. teres virulence
Article
Dahanayaka, Buddhika A. and Martin, Anke. 2023. "Multi-parental fungal mapping population study to detect genomic regions associated with Pyrenophora teres f. teres virulence." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-36963-y
Article Title | Multi-parental fungal mapping population study to detect genomic regions associated with Pyrenophora teres f. teres virulence |
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ERA Journal ID | 201487 |
Article Category | Article |
Authors | Dahanayaka, Buddhika A. and Martin, Anke |
Journal Title | Scientific Reports |
Journal Citation | 13 (1) |
Article Number | 9804 |
Number of Pages | 10 |
Year | 2023 |
Publisher | Nature Publishing Group |
Place of Publication | United Kingdom |
ISSN | 2045-2322 |
Digital Object Identifier (DOI) | https://doi.org/10.1038/s41598-023-36963-y |
Web Address (URL) | https://www.nature.com/articles/s41598-023-36963-y |
Abstract | In recent years multi-parental mapping populations (MPPs) have been widely adopted in many crops to detect quantitative trait loci (QTLs) as this method can compensate for the limitations of QTL analyses using bi-parental mapping populations. Here we report the first multi-parental nested association mapping (MP-NAM) population study used to detect genomic regions associated with host-pathogenic interactions. MP-NAM QTL analyses were conducted on 399 Pyrenophora teres f. teres individuals using biallelic, cross-specific and parental QTL effect models. A bi-parental QTL mapping study was also conducted to compare the power of QTL detection between bi-parental and MP-NAM populations. Using MP-NAM with 399 individuals detected a maximum of eight QTLs with a single QTL effect model whilst only a maximum of five QTLs were detected with an individual bi-parental mapping population of 100 individuals. When reducing the number of isolates in the MP-NAM to 200 individuals the number of QTLs detected remained the same for the MP-NAM population. This study confirms that MPPs such as MP-NAM populations can be successfully used in detecting QTLs in haploid fungal pathogens and that the power of QTL detection with MPPs is greater than with bi-parental mapping populations. |
Keywords | multi-parental mapping populations ; quantitative trait loci |
ANZSRC Field of Research 2020 | 300409. Crop and pasture protection (incl. pests, diseases and weeds) |
Byline Affiliations | Centre for Crop Health |
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https://research.usq.edu.au/item/z258w/multi-parental-fungal-mapping-population-study-to-detect-genomic-regions-associated-with-pyrenophora-teres-f-teres-virulence
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