IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-41669-w.html
   My bibliography  Save this article

A de novo evolved gene contributes to rice grain shape difference between indica and japonica

Author

Listed:
  • Rujia Chen

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Ning Xiao

    (Institute of Agricultural Sciences for Lixiahe Region in Jiangsu)

  • Yue Lu

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Tianyun Tao

    (Agriculture College of Yangzhou University)

  • Qianfeng Huang

    (Agriculture College of Yangzhou University)

  • Shuting Wang

    (Agriculture College of Yangzhou University)

  • Zhichao Wang

    (Agriculture College of Yangzhou University)

  • Mingli Chuan

    (Agriculture College of Yangzhou University)

  • Qing Bu

    (Agriculture College of Yangzhou University)

  • Zhou Lu

    (Agriculture College of Yangzhou University)

  • Hanyao Wang

    (Agriculture College of Yangzhou University)

  • Yanze Su

    (Agriculture College of Yangzhou University)

  • Yi Ji

    (Agriculture College of Yangzhou University)

  • Jianheng Ding

    (Agriculture College of Yangzhou University)

  • Ahmed Gharib

    (Agriculture College of Yangzhou University
    Field Crops Research Institute, ARC, Sakha)

  • Huixin Liu

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Yong Zhou

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Shuzhu Tang

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Guohua Liang

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Honggen Zhang

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Chuandeng Yi

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Xiaoming Zheng

    (Chinese Academy of Agricultural Sciences)

  • Zhukuan Cheng

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Yang Xu

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Pengcheng Li

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Chenwu Xu

    (Agriculture College of Yangzhou University
    Yangzhou University)

  • Jinling Huang

    (East Carolina University
    Henan University
    Chinese Academy of Sciences)

  • Aihong Li

    (Institute of Agricultural Sciences for Lixiahe Region in Jiangsu)

  • Zefeng Yang

    (Agriculture College of Yangzhou University
    Yangzhou University)

Abstract

The role of de novo evolved genes from non-coding sequences in regulating morphological differentiation between species/subspecies remains largely unknown. Here, we show that a rice de novo gene GSE9 contributes to grain shape difference between indica/xian and japonica/geng varieties. GSE9 evolves from a previous non-coding region of wild rice Oryza rufipogon through the acquisition of start codon. This gene is inherited by most japonica varieties, while the original sequence (absence of start codon, gse9) is present in majority of indica varieties. Knockout of GSE9 in japonica varieties leads to slender grains, whereas introgression to indica background results in round grains. Population evolutionary analyses reveal that gse9 and GSE9 are derived from wild rice Or-I and Or-III groups, respectively. Our findings uncover that the de novo GSE9 gene contributes to the genetic and morphological divergence between indica and japonica subspecies, and provide a target for precise manipulation of rice grain shape.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41669-w
    DOI: 10.1038/s41467-023-41669-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-41669-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-41669-w?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. Wensheng Wang & Ramil Mauleon & Zhiqiang Hu & Dmytro Chebotarov & Shuaishuai Tai & Zhichao Wu & Min Li & Tianqing Zheng & Roven Rommel Fuentes & Fan Zhang & Locedie Mansueto & Dario Copetti & Millicen, 2018. "Genomic variation in 3,010 diverse accessions of Asian cultivated rice," Nature, Nature, vol. 557(7703), pages 43-49, May.
    2. Nikolaos Vakirlis & Omer Acar & Brian Hsu & Nelson Castilho Coelho & S. Branden Van Oss & Aaron Wacholder & Kate Medetgul-Ernar & Ray W. Bowman & Cameron P. Hines & John Iannotta & Saurin Bipin Parikh, 2020. "De novo emergence of adaptive membrane proteins from thymine-rich genomic sequences," Nature Communications, Nature, vol. 11(1), pages 1-18, December.
    3. Anne-Ruxandra Carvunis & Thomas Rolland & Ilan Wapinski & Michael A. Calderwood & Muhammed A. Yildirim & Nicolas Simonis & Benoit Charloteaux & César A. Hidalgo & Justin Barbette & Balaji Santhanam & , 2012. "Proto-genes and de novo gene birth," Nature, Nature, vol. 487(7407), pages 370-374, July.
    4. Andreas Lange & Prajal H. Patel & Brennen Heames & Adam M. Damry & Thorsten Saenger & Colin J. Jackson & Geoffrey D. Findlay & Erich Bornberg-Bauer, 2021. "Structural and functional characterization of a putative de novo gene in Drosophila," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    5. 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.
    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. Junhui Peng & Li Zhao, 2024. "The origin and structural evolution of de novo genes in Drosophila," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Xingming Sun & Haiyan Xiong & Conghui Jiang & Dongmei Zhang & Zengling Yang & Yuanping Huang & Wanbin Zhu & Shuaishuai Ma & Junzhi Duan & Xin Wang & Wei Liu & Haifeng Guo & Gangling Li & Jiawei Qi & C, 2022. "Natural variation of DROT1 confers drought adaptation in upland rice," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    3. Daiqi Wang & Hongru Wang & Xiaomei Xu & Man Wang & Yahuan Wang & Hong Chen & Fei Ping & Huanhuan Zhong & Zhengkun Mu & Wantong Xie & Xiangyu Li & Jingbin Feng & Milan Zhang & Zhilan Fan & Tifeng Yang , 2023. "Two complementary genes in a presence-absence variation contribute to indica-japonica reproductive isolation in rice," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Changxuan Xia & Guohua Liang & Kang Chong & Yunyuan Xu, 2023. "The COG1-OsSERL2 complex senses cold to trigger signaling network for chilling tolerance in japonica rice," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    5. 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.
    6. 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.
    7. 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).
    8. Yu Chen & Amy Y. Wang & Courtney A. Barkley & Yixin Zhang & Xinyang Zhao & Min Gao & Mick D. Edmonds & Zechen Chong, 2023. "Deciphering the exact breakpoints of structural variations using long sequencing reads with DeBreak," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    9. 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.
    10. Elisa Zampieri & Michele Pesenti & Fabio Francesco Nocito & Gian Attilio Sacchi & Giampiero Valè, 2023. "Rice Responses to Water Limiting Conditions: Improving Stress Management by Exploiting Genetics and Physiological Processes," Agriculture, MDPI, vol. 13(2), pages 1-23, February.
    11. Yingyan Yu & Zhen Zhang & Xiaorui Dong & Ruixin Yang & Zhongqu Duan & Zhen Xiang & Jun Li & Guichao Li & Fazhe Yan & Hongzhang Xue & Du Jiao & Jinyuan Lu & Huimin Lu & Wenmin Zhang & Yangzhen Wei & Sh, 2022. "Pangenomic analysis of Chinese gastric cancer," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    12. Decha Songtoasesakul & Wanchana Aesomnuk & Sarinthip Pannak & Jonaliza Lanceras Siangliw & Meechai Siangliw & Theerayut Toojinda & Samart Wanchana & Siwaret Arikit, 2023. "QTL-seq Identifies Pokkali-Derived QTLs and Candidate Genes for Salt Tolerance at Seedling Stage in Rice ( Oryza sativa L.)," Agriculture, MDPI, vol. 13(8), pages 1-15, August.
    13. Pedro Patraquim & Emile G. Magny & José I. Pueyo & Ana Isabel Platero & Juan Pablo Couso, 2022. "Translation and natural selection of micropeptides from long non-canonical RNAs," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    14. Chuanzhong Zhang & Hongru Wang & Xiaojie Tian & Xinyan Lin & Yunfei Han & Zhongmin Han & Hanjing Sha & Jia Liu & Jianfeng Liu & Jian Zhang & Qingyun Bu & Jun Fang, 2024. "A transposon insertion in the promoter of OsUBC12 enhances cold tolerance during japonica rice germination," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    15. Muhammad Junaid Zaghum & Kashir Ali & Sheng Teng, 2022. "Integrated Genetic and Omics Approaches for the Regulation of Nutritional Activities in Rice ( Oryza sativa L.)," Agriculture, MDPI, vol. 12(11), pages 1-17, October.
    16. Sylvain Aubry, 2023. "Genebanking plant genetic resources in the postgenomic era," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(3), pages 961-971, September.
    17. Jian Sun & Guangchen Zhang & Zhibo Cui & Ximan Kong & Xiaoyu Yu & Rui Gui & Yuqing Han & Zhuan Li & Hong Lang & Yuchen Hua & Xuemin Zhang & Quan Xu & Liang Tang & Zhengjin Xu & Dianrong Ma & Wenfu Che, 2022. "Regain flood adaptation in rice through a 14-3-3 protein OsGF14h," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    18. Lin-Feng Li & Tonapha Pusadee & Marshall J. Wedger & Ya-Ling Li & Ming-Rui Li & Yee-Ling Lau & Soo-Joo Yap & Sansanee Jamjod & Benjavan Rerkasem & Yan Hao & Beng-Kah Song & Kenneth M. Olsen, 2024. "Porous borders at the wild-crop interface promote weed adaptation in Southeast Asia," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    19. Yayu Wang & Xiaolin Wang & Shuai Sun & Canzhi Jin & Jianmu Su & Jinpu Wei & Xinyue Luo & Jiawen Wen & Tong Wei & Sunil Kumar Sahu & Hongfeng Zou & Hongyun Chen & Zhixin Mu & Gengyun Zhang & Xin Liu & , 2022. "GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    20. Hideki Yoshida & Ko Hirano & Kenji Yano & Fanmiao Wang & Masaki Mori & Mayuko Kawamura & Eriko Koketsu & Masako Hattori & Reynante Lacsamana Ordonio & Peng Huang & Eiji Yamamoto & Makoto Matsuoka, 2022. "Genome-wide association study identifies a gene responsible for temperature-dependent rice germination," Nature Communications, Nature, vol. 13(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:14:y:2023:i:1:d:10.1038_s41467-023-41669-w. 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.