Pan-genome inversion index reveals evolutionary insights into the subpopulation structure of Asian rice
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Author
Zhou, Y.Yu, Z.
Chebotarov, D.
Chougule, K.
Lu, Z.
Rivera, L.F.
Kathiresan, N.
Al-Bader, N.
Mohammed, N.
Alsantely, A.
Mussurova, S.
Santos, J.
Thimma, M.
Troukhan, M.
Fornasiero, A.
Green, C.D.
Copetti, D.
Kudrna, D.
Llaca, V.
Lorieux, M.
Zuccolo, A.
Ware, D.
McNally, K.
Zhang, J.
Wing, R.A.
Affiliation
Arizona Genomics Institute (AGI), School of Plant Sciences, University of ArizonaIssue Date
2023-03-21
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Nature ResearchCitation
Zhou, Y., Yu, Z., Chebotarov, D. et al. Pan-genome inversion index reveals evolutionary insights into the subpopulation structure of Asian rice. Nat Commun 14, 1567 (2023). https://doi.org/10.1038/s41467-023-37004-yJournal
Nature CommunicationsRights
© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Understanding and exploiting genetic diversity is a key factor for the productive and stable production of rice. Here, we utilize 73 high-quality genomes that encompass the subpopulation structure of Asian rice (Oryza sativa), plus the genomes of two wild relatives (O. rufipogon and O. punctata), to build a pan-genome inversion index of 1769 non-redundant inversions that span an average of ~29% of the O. sativa cv. Nipponbare reference genome sequence. Using this index, we estimate an inversion rate of ~700 inversions per million years in Asian rice, which is 16 to 50 times higher than previously estimated for plants. Detailed analyses of these inversions show evidence of their effects on gene expression, recombination rate, and linkage disequilibrium. Our study uncovers the prevalence and scale of large inversions (≥100 bp) across the pan-genome of Asian rice and hints at their largely unexplored role in functional biology and crop performance. © 2023, The Author(s).Note
Open access journalISSN
2041-1723PubMed ID
36944612Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1038/s41467-023-37004-y
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Except where otherwise noted, this item's license is described as © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License.
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