Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon

The power of pangenomic graphs to improve genetic mapping is still unclear. Here, the authors demonstrate its value in identification of genetic variants associated with disease resistance traits in melon using PanPipes, a pangenome construction and low-coverage genotype-by-sequencing pipeline.

Bibliographic Details
Main Authors: Justin N. Vaughn, Sandra E. Branham, Brian Abernathy, Amanda M. Hulse-Kemp, Adam R. Rivers, Amnon Levi, William P. Wechter
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-35621-7
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author Justin N. Vaughn
Sandra E. Branham
Brian Abernathy
Amanda M. Hulse-Kemp
Adam R. Rivers
Amnon Levi
William P. Wechter
author_facet Justin N. Vaughn
Sandra E. Branham
Brian Abernathy
Amanda M. Hulse-Kemp
Adam R. Rivers
Amnon Levi
William P. Wechter
author_sort Justin N. Vaughn
collection DOAJ
description The power of pangenomic graphs to improve genetic mapping is still unclear. Here, the authors demonstrate its value in identification of genetic variants associated with disease resistance traits in melon using PanPipes, a pangenome construction and low-coverage genotype-by-sequencing pipeline.
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spelling doaj.art-2edc9b2e0e0a44ccb0e3ceffeaa28fb82022-12-25T12:21:50ZengNature PortfolioNature Communications2041-17232022-12-0113111410.1038/s41467-022-35621-7Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melonJustin N. Vaughn0Sandra E. Branham1Brian Abernathy2Amanda M. Hulse-Kemp3Adam R. Rivers4Amnon Levi5William P. Wechter6Genomics and Bioinformatics Research Unit, The Agricultural Research Service of U.S. Department of AgriculturePlant and Environmental Sciences Department, Coastal Research and Education Center, Clemson UniversityDepartment of Crop and Soil Sciences, University of GeorgiaGenomics and Bioinformatics Research Unit, The Agricultural Research Service of U.S. Department of AgricultureGenomics and Bioinformatics Research Unit, The Agricultural Research Service of U.S. Department of AgricultureUS Vegetable Laboratory, The Agricultural Research Service of U.S. Department of AgriculturePlant and Environmental Sciences Department, Coastal Research and Education Center, Clemson UniversityThe power of pangenomic graphs to improve genetic mapping is still unclear. Here, the authors demonstrate its value in identification of genetic variants associated with disease resistance traits in melon using PanPipes, a pangenome construction and low-coverage genotype-by-sequencing pipeline.https://doi.org/10.1038/s41467-022-35621-7
spellingShingle Justin N. Vaughn
Sandra E. Branham
Brian Abernathy
Amanda M. Hulse-Kemp
Adam R. Rivers
Amnon Levi
William P. Wechter
Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon
Nature Communications
title Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon
title_full Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon
title_fullStr Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon
title_full_unstemmed Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon
title_short Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon
title_sort graph based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon
url https://doi.org/10.1038/s41467-022-35621-7
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