High-quality chromosome-scale genomes facilitate effective identification of large structural variations in hot and sweet peppers

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Title
High-quality chromosome-scale genomes facilitate effective identification of large structural variations in hot and sweet peppers
Author(s)
J H Lee; J Venkatesh; J Jo; S Jang; G W Kim; J M Kim; K Han; N Ro; H Y Lee; J K Kwon; Yong Min Kim; T H Lee; D Choi; A V Deynze; T Hill; N Kfir; A Freiman; N H D Olivas; Y Elkind; I Paran; B C Kang
Bibliographic Citation
Horticulture Research, vol. 9, pp. uhac210-uhac210
Publication Year
2022
Abstract
Pepper (Capsicum annuum) is an important vegetable crop that has been subjected to intensive breeding, resulting in limited genetic diversity, especially for sweet peppers. Previous studies have reported pepper draft genome assemblies using short read sequencing, but their capture of the extent of large structural variants (SVs), such as presence-absence variants (PAVs), inversions, and copy-number variants (CNVs) in the complex pepper genome falls short. In this study, we sequenced the genomes of representative sweet and hot pepper accessions by long-read and/or linked-read methods and advanced scaffolding technologies. First, we developed a high-quality reference genome for the sweet pepper cultivar 'Dempsey' and then used the reference genome to identify SVs in 11 other pepper accessions and constructed a graph-based pan-genome for pepper. We annotated an average of 42 972 gene families in each pepper accession, defining a set of 19 662 core and 23 115 non-core gene families. The new pepper pan-genome includes informative variants, 222 159 PAVs, 12 322 CNVs, and 16 032 inversions. Pan-genome analysis revealed PAVs associated with important agricultural traits, including potyvirus resistance, fruit color, pungency, and pepper fruit orientation. Comparatively, a large number of genes are affected by PAVs, which is positively correlated with the high frequency of transposable elements (TEs), indicating TEs play a key role in shaping the genomic landscape of peppers. The datasets presented herein provide a powerful new genomic resource for genetic analysis and genome-assisted breeding for pepper improvement.
ISSN
2662-6810
Publisher
Oxford Univ Press
DOI
http://dx.doi.org/10.1093/hr/uhac210
Type
Article
Appears in Collections:
Division of Research on National Challenges > Plant Systems Engineering Research > 1. Journal Articles
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