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Article: Structural variation-based and gene-based pangenome construction reveals untapped diversity of hexaploid wheat

TitleStructural variation-based and gene-based pangenome construction reveals untapped diversity of hexaploid wheat
Authors
KeywordsCentromere plasticity
Growth habit
Pangenome
Structural variation
Wheat
Issue Date2025
Citation
Journal of Genetics and Genomics, 2025, v. 52, n. 6, p. 774-785 How to Cite?
AbstractIncreasing number of structural variations (SVs) have been identified as causative mutations for diverse agronomic traits. However, the systematic exploration of SVs quantity, distribution, and contribution in wheat was lacking. Here, we report high-quality gene-based and SV-based pangenomes comprising 22 hexaploid wheat assemblies showing a wide range of chromosome size, gene number, and TE component, which indicates their representativeness of wheat genetic diversity. Pan-gene analyses uncover 140,261 distinct gene families, of which only 23.2 % are shared in all accessions. Moreover, we build a ∼16.15 Gb graph pangenome containing 695,897 bubbles, intersecting 5132 genes and 230,307 cis-regulatory regions. Pairwise genome comparisons identify ∼1,978,221 non-redundant SVs and 497 SV hotspots. Notably, the density of bubbles as well as SVs show remarkable aggregation in centromeres, which probably play an important role in chromosome plasticity and stability. As for functional SVs exploration, we identify 2769 SVs with absolute relative frequency differences exceeding 0.7 between spring and winter growth habit groups. Additionally, several reported functional genes in wheat display complex structural graphs, for example, PPD-A1, VRT-A2, and TaNAAT2-A. These findings deepen our understanding of wheat genetic diversity, providing valuable graphical pangenome and variation resources to improve the efficiency of genome-wide association mapping in wheat.
Persistent Identifierhttp://hdl.handle.net/10722/365458
ISSN
2023 Impact Factor: 6.6
2023 SCImago Journal Rankings: 1.605

 

DC FieldValueLanguage
dc.contributor.authorCheng, Hong-
dc.contributor.authorKong, Lingpeng-
dc.contributor.authorZhu, Kun-
dc.contributor.authorZhao, Hang-
dc.contributor.authorLi, Xiuli-
dc.contributor.authorZhang, Yanwen-
dc.contributor.authorNing, Weidong-
dc.contributor.authorJiang, Mei-
dc.contributor.authorSong, Bo-
dc.contributor.authorCheng, Shifeng-
dc.date.accessioned2025-11-05T09:40:40Z-
dc.date.available2025-11-05T09:40:40Z-
dc.date.issued2025-
dc.identifier.citationJournal of Genetics and Genomics, 2025, v. 52, n. 6, p. 774-785-
dc.identifier.issn1673-8527-
dc.identifier.urihttp://hdl.handle.net/10722/365458-
dc.description.abstractIncreasing number of structural variations (SVs) have been identified as causative mutations for diverse agronomic traits. However, the systematic exploration of SVs quantity, distribution, and contribution in wheat was lacking. Here, we report high-quality gene-based and SV-based pangenomes comprising 22 hexaploid wheat assemblies showing a wide range of chromosome size, gene number, and TE component, which indicates their representativeness of wheat genetic diversity. Pan-gene analyses uncover 140,261 distinct gene families, of which only 23.2 % are shared in all accessions. Moreover, we build a ∼16.15 Gb graph pangenome containing 695,897 bubbles, intersecting 5132 genes and 230,307 cis-regulatory regions. Pairwise genome comparisons identify ∼1,978,221 non-redundant SVs and 497 SV hotspots. Notably, the density of bubbles as well as SVs show remarkable aggregation in centromeres, which probably play an important role in chromosome plasticity and stability. As for functional SVs exploration, we identify 2769 SVs with absolute relative frequency differences exceeding 0.7 between spring and winter growth habit groups. Additionally, several reported functional genes in wheat display complex structural graphs, for example, PPD-A1, VRT-A2, and TaNAAT2-A. These findings deepen our understanding of wheat genetic diversity, providing valuable graphical pangenome and variation resources to improve the efficiency of genome-wide association mapping in wheat.-
dc.languageeng-
dc.relation.ispartofJournal of Genetics and Genomics-
dc.subjectCentromere plasticity-
dc.subjectGrowth habit-
dc.subjectPangenome-
dc.subjectStructural variation-
dc.subjectWheat-
dc.titleStructural variation-based and gene-based pangenome construction reveals untapped diversity of hexaploid wheat-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jgg.2025.03.015-
dc.identifier.pmid40189201-
dc.identifier.scopuseid_2-s2.0-105003580259-
dc.identifier.volume52-
dc.identifier.issue6-
dc.identifier.spage774-
dc.identifier.epage785-
dc.identifier.eissn1873-5533-

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