IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-31581-0.html
   My bibliography  Save this article

Dispersed emergence and protracted domestication of polyploid wheat uncovered by mosaic ancestral haploblock inference

Author

Listed:
  • Zihao Wang

    (China Agricultural University)

  • Wenxi Wang

    (China Agricultural University)

  • Xiaoming Xie

    (China Agricultural University)

  • Yongfa Wang

    (China Agricultural University)

  • Zhengzhao Yang

    (China Agricultural University)

  • Huiru Peng

    (China Agricultural University
    China Agricultural University)

  • Mingming Xin

    (China Agricultural University
    China Agricultural University)

  • Yingyin Yao

    (China Agricultural University
    China Agricultural University)

  • Zhaorong Hu

    (China Agricultural University
    China Agricultural University)

  • Jie Liu

    (China Agricultural University
    China Agricultural University)

  • Zhenqi Su

    (China Agricultural University
    China Agricultural University)

  • Chaojie Xie

    (China Agricultural University
    China Agricultural University)

  • Baoyun Li

    (China Agricultural University
    China Agricultural University)

  • Zhongfu Ni

    (China Agricultural University
    China Agricultural University)

  • Qixin Sun

    (China Agricultural University
    China Agricultural University)

  • Weilong Guo

    (China Agricultural University
    China Agricultural University)

Abstract

Major crops are all survivors of domestication bottlenecks. Studies have focused on the genetic loci related to the domestication syndrome, while the contribution of ancient haplotypes remains largely unknown. Here, an ancestral genomic haploblock dissection method is developed and applied to a resequencing dataset of 386 tetraploid/hexaploid wheat accessions, generating a pan-ancestry haploblock map. Together with cytoplastic evidences, we reveal that domesticated polyploid wheat emerged from the admixture of six founder wild emmer lineages, which contributed the foundation of ancestral mosaics. The key domestication-related loci, originated over a wide geographical range, were gradually pyramided through a protracted process. Diverse stable-inheritance ancestral haplotype groups of the chromosome central zone are identified, revealing the expanding routes of wheat and the trends of modern wheat breeding. Finally, an evolution model of polyploid wheat is proposed, highlighting the key role of wild-to-crop and interploidy introgression, that increased genomic diversity following bottlenecks introduced by domestication and polyploidization.

Suggested Citation

  • Zihao Wang & Wenxi Wang & Xiaoming Xie & Yongfa Wang & Zhengzhao Yang & Huiru Peng & Mingming Xin & Yingyin Yao & Zhaorong Hu & Jie Liu & Zhenqi Su & Chaojie Xie & Baoyun Li & Zhongfu Ni & Qixin Sun &, 2022. "Dispersed emergence and protracted domestication of polyploid wheat uncovered by mosaic ancestral haploblock inference," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31581-0
    DOI: 10.1038/s41467-022-31581-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-31581-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-31581-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sean Walkowiak & Liangliang Gao & Cecile Monat & Georg Haberer & Mulualem T. Kassa & Jemima Brinton & Ricardo H. Ramirez-Gonzalez & Markus C. Kolodziej & Emily Delorean & Dinushika Thambugala & Valent, 2020. "Multiple wheat genomes reveal global variation in modern breeding," Nature, Nature, vol. 588(7837), pages 277-283, December.
    2. S. Asseng & F. Ewert & P. Martre & R. P. Rötter & D. B. Lobell & D. Cammarano & B. A. Kimball & M. J. Ottman & G. W. Wall & J. W. White & M. P. Reynolds & P. D. Alderman & P. V. V. Prasad & P. K. Agga, 2015. "Rising temperatures reduce global wheat production," Nature Climate Change, Nature, vol. 5(2), pages 143-147, February.
    3. Weizhao Yang & Nathalie Feiner & Catarina Pinho & Geoffrey M. While & Antigoni Kaliontzopoulou & D. James Harris & Daniele Salvi & Tobias Uller, 2021. "Extensive introgression and mosaic genomes of Mediterranean endemic lizards," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    4. Jerome Kelleher & Alison M Etheridge & Gilean McVean, 2016. "Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-22, May.
    5. Benaglia, Tatiana & Chauveau, Didier & Hunter, David R. & Young, Derek S., 2009. "mixtools: An R Package for Analyzing Mixture Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i06).
    6. Weilong Guo & Mingming Xin & Zihao Wang & Yingyin Yao & Zhaorong Hu & Wanjun Song & Kuohai Yu & Yongming Chen & Xiaobo Wang & Panfeng Guan & Rudi Appels & Huiru Peng & Zhongfu Ni & Qixin Sun, 2020. "Origin and adaptation to high altitude of Tibetan semi-wild wheat," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    7. Xuehui Huang & Nori Kurata & Xinghua Wei & Zi-Xuan Wang & Ahong Wang & Qiang Zhao & Yan Zhao & Kunyan Liu & Hengyun Lu & Wenjun Li & Yunli Guo & Yiqi Lu & Congcong Zhou & Danlin Fan & Qijun Weng & Chu, 2012. "A map of rice genome variation reveals the origin of cultivated rice," Nature, Nature, vol. 490(7421), pages 497-501, October.
    8. Marco Todesco & Gregory L. Owens & Natalia Bercovich & Jean-Sébastien Légaré & Shaghayegh Soudi & Dylan O. Burge & Kaichi Huang & Katherine L. Ostevik & Emily B. M. Drummond & Ivana Imerovski & Kathry, 2020. "Massive haplotypes underlie ecotypic differentiation in sunflowers," Nature, Nature, vol. 584(7822), pages 602-607, August.
    9. Carolina Sansaloni & Jorge Franco & Bruno Santos & Lawrence Percival-Alwyn & Sukhwinder Singh & Cesar Petroli & Jaime Campos & Kate Dreher & Thomas Payne & David Marshall & Benjamin Kilian & Iain Miln, 2020. "Diversity analysis of 80,000 wheat accessions reveals consequences and opportunities of selection footprints," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jie Cao & Zhen Qin & Guangxian Cui & Zhaoyan Chen & Xuejiao Cheng & Huiru Peng & Yingyin Yao & Zhaorong Hu & Weilong Guo & Zhongfu Ni & Qixin Sun & Mingming Xin, 2024. "Natural variation of STKc_GSK3 kinase TaSG-D1 contributes to heat stress tolerance in Indian dwarf wheat," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Ana Pinto & Tong Yin & Marion Reichenbach & Raghavendra Bhatta & Pradeep Kumar Malik & Eva Schlecht & Sven König, 2020. "Enteric Methane Emissions of Dairy Cattle Considering Breed Composition, Pasture Management, Housing Conditions and Feeding Characteristics along a Rural-Urban Gradient in a Rising Megacity," Agriculture, MDPI, vol. 10(12), pages 1-18, December.
    3. Ozonder, Gozde & Miller, Eric J., 2021. "Longitudinal investigation of skeletal activity episode timing decisions – A copula approach," Journal of choice modelling, Elsevier, vol. 40(C).
    4. Lu, Ran & Xu, Wen & Zeng, Hongjun & Zhou, Xiangjing, 2023. "Volatility connectedness among the Indian equity and major commodity markets under the COVID-19 scenario," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1465-1481.
    5. Gabriela Montejo-Kovacevich & Joana I. Meier & Caroline N. Bacquet & Ian A. Warren & Yingguang Frank Chan & Marek Kucka & Camilo Salazar & Nicol Rueda-M & Stephen H. Montgomery & W. Owen McMillan & Kr, 2022. "Repeated genetic adaptation to altitude in two tropical butterflies," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    6. Dongya Wu & Enhui Shen & Bowen Jiang & Yu Feng & Wei Tang & Sangting Lao & Lei Jia & Han-Yang Lin & Lingjuan Xie & Xifang Weng & Chenfeng Dong & Qinghong Qian & Feng Lin & Haiming Xu & Huabing Lu & Lu, 2022. "Genomic insights into the evolution of Echinochloa species as weed and orphan crop," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    7. Patrik Nosil & Zachariah Gompert & Daniel J. Funk, 2024. "Divergent dynamics of sexual and habitat isolation at the transition between stick insect populations and species," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    8. Seung Young Lee & Hyun-Sook Lee & Chang-Min Lee & Su-Kyung Ha & Hyang-Mi Park & So-Myeong Lee & Youngho Kwon & Ji-Ung Jeung & Youngjun Mo, 2023. "Multi-Environment Trials and Stability Analysis for Yield-Related Traits of Commercial Rice Cultivars," Agriculture, MDPI, vol. 13(2), pages 1-13, January.
    9. Chakravarty, Shourish & Villoria, Nelson B., 2020. "Estimating the spatially heterogeneous elasticities of land supply to U.S. crop agriculture," Conference papers 333156, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    10. Sponagel, Christian & Bendel, Daniela & Angenendt, Elisabeth & Weber, Tobias Karl David & Gayler, Sebastian & Streck, Thilo & Bahrs, Enno, 2022. "Integrated assessment of regional approaches for biodiversity offsetting in urban-rural areas – A future based case study from Germany using arable land as an example," Land Use Policy, Elsevier, vol. 117(C).
    11. Carl-Friedrich Schleussner & Joeri Rogelj & Michiel Schaeffer & Tabea Lissner & Rachel Licker & Erich M. Fischer & Reto Knutti & Anders Levermann & Katja Frieler & William Hare, 2016. "Science and policy characteristics of the Paris Agreement temperature goal," Nature Climate Change, Nature, vol. 6(9), pages 827-835, September.
    12. Xiaofeng Cai & Xuepeng Sun & Chenxi Xu & Honghe Sun & Xiaoli Wang & Chenhui Ge & Zhonghua Zhang & Quanxi Wang & Zhangjun Fei & Chen Jiao & Quanhua Wang, 2021. "Genomic analyses provide insights into spinach domestication and the genetic basis of agronomic traits," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    13. Huanhuan Li & Wenqiang Men & Chao Ma & Qianwen Liu & Zhenjie Dong & Xiubin Tian & Chaoli Wang & Cheng Liu & Harsimardeep S. Gill & Pengtao Ma & Zhibin Zhang & Bao Liu & Yue Zhao & Sunish K. Sehgal & W, 2024. "Wheat powdery mildew resistance gene Pm13 encodes a mixed lineage kinase domain-like protein," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    14. repec:zib:zbppsc:v:1:y:2021:i:1:p:4-7 is not listed on IDEAS
    15. Haidong Zhao & Lina Zhang & M. B. Kirkham & Stephen M. Welch & John W. Nielsen-Gammon & Guihua Bai & Jiebo Luo & Daniel A. Andresen & Charles W. Rice & Nenghan Wan & Romulo P. Lollato & Dianfeng Zheng, 2022. "U.S. winter wheat yield loss attributed to compound hot-dry-windy events," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    16. Minjung Kyung & Ju-Hyun Park & Ji Yeh Choi, 2022. "Bayesian Mixture Model of Extended Redundancy Analysis," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 946-966, September.
    17. Xue, Jiacheng & Yao, Weixin, 2022. "Machine Learning Embedded Semiparametric Mixtures of Regressions with Covariate-Varying Mixing Proportions," Econometrics and Statistics, Elsevier, vol. 22(C), pages 159-171.
    18. Meng Li & Sijia Xiang & Weixin Yao, 2016. "Robust estimation of the number of components for mixtures of linear regression models," Computational Statistics, Springer, vol. 31(4), pages 1539-1555, December.
    19. Chew, Soo Hong & Ebstein, Richard P. & Lu, Yunfeng, 2023. "Rice culture and the cushion hypothesis: Experimental evidence from incentivized risk taking tasks," Economics Letters, Elsevier, vol. 223(C).
    20. Dilshad Ahmad & Malika Kanwal & Muhammad Afzal, 2023. "Climate change effects on riverbank erosion Bait community flood-prone area of Punjab, Pakistan: an application of livelihood vulnerability index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9387-9415, September.
    21. Rujia Chen & Ning Xiao & Yue Lu & Tianyun Tao & Qianfeng Huang & Shuting Wang & Zhichao Wang & Mingli Chuan & Qing Bu & Zhou Lu & Hanyao Wang & Yanze Su & Yi Ji & Jianheng Ding & Ahmed Gharib & Huixin, 2023. "A de novo evolved gene contributes to rice grain shape difference between indica and japonica," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31581-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.