Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon.
Autor: | Vaughn JN; Genomics and Bioinformatics Research Unit, The Agricultural Research Service of U.S. Department of Agriculture, Athens, GA, 37605, USA. justin.vaughn@usda.gov.; Department of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA. justin.vaughn@usda.gov., Branham SE; Plant and Environmental Sciences Department, Coastal Research and Education Center, Clemson University, Charleston, SC, 29414, USA., Abernathy B; Department of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA., Hulse-Kemp AM; Genomics and Bioinformatics Research Unit, The Agricultural Research Service of U.S. Department of Agriculture, Raleigh, NC, 27965, USA.; Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, 27695, USA., Rivers AR; Genomics and Bioinformatics Research Unit, The Agricultural Research Service of U.S. Department of Agriculture, Gainesville, FL, 32608, USA., Levi A; US Vegetable Laboratory, The Agricultural Research Service of U.S. Department of Agriculture, Charleston, SC, 29414, USA., Wechter WP; Plant and Environmental Sciences Department, Coastal Research and Education Center, Clemson University, Charleston, SC, 29414, USA. pat.wechter@usda.gov.; US Vegetable Laboratory, The Agricultural Research Service of U.S. Department of Agriculture, Charleston, SC, 29414, USA. pat.wechter@usda.gov. |
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Jazyk: | angličtina |
Zdroj: | Nature communications [Nat Commun] 2022 Dec 22; Vol. 13 (1), pp. 7897. Date of Electronic Publication: 2022 Dec 22. |
DOI: | 10.1038/s41467-022-35621-7 |
Abstrakt: | The genomic sequences segregating in experimental populations are often highly divergent from the community reference and from one another. Such divergence is problematic under various short-read-based genotyping strategies. In addition, large structural differences are often invisible despite being strong candidates for causal variation. These issues are exacerbated in specialty crop breeding programs with fewer, lower-quality sequence resources. Here, we examine the benefits of complete genomic information, based on long-read assemblies, in a biparental mapping experiment segregating at numerous disease resistance loci in the non-model crop, melon (Cucumis melo). We find that a graph-based approach, which uses both parental genomes, results in 19% more variants callable across the population and raw allele calls with a 2 to 3-fold error-rate reduction, even relative to single reference approaches using a parent genome. We show that structural variation has played a substantial role in shaping two Fusarium wilt resistance loci with known causal genes. We also report on the genetics of powdery mildew resistance, where copy number variation and local recombination suppression are directly interpretable via parental genome alignments. Benefits observed, even in this low-resolution biparental experiment, will inevitably be amplified in more complex populations. (© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.) |
Databáze: | MEDLINE |
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