Volume 36, No 6, Jun 2026

ISSN: 1001-0602 
EISSN: 1748-7838 2018 
impact factor 17.848* 
(Clarivate Analytics, 2019)

Volume 36 Issue 6, June 2026: 462-465

LETTERS TO THE EDITOR

Population-scale multi-omics analysis reveals diverse phenotypic impacts of lncRNAs in rice

Ge Gao^1,2,3,† , Danjing Lou^1,4,5,† , Yunpeng Li^1,4,6,† , Chao Zhang^2,3 , Baolin Kan^2,3 , Hao Wen⁴ , Siyu Wen² , Jun Shu^2,4,6 , Wenlong Guo^1,2 , Weihua Qiao¹ , Qingwen Yang¹ , Youlin Peng² , Kenneth M. Olsen^7,* , Qian Qian^1,2,3,* , Xiaoming Zheng^1,4,8,*

¹State Key Laboratory of Crop Gene Resources and Breeding, Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
²Wild Rice Germplasm Resources Innovation Team, Yazhouwan National Laboratory, Sanya, Hainan, China
³College of Plant Science, Huazhong Agricultural University, Wuhan, Hubei, China
⁴National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
⁵Institute of Botany, Chinese Academy of Sciences, Beijing, China
⁶China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
⁷Biology Department, Washington University, St. Louis, MO, USA
⁸International Rice Research Institute, Metro Manila, Philippines
^†These authors contributed equally: Ge Gao, Danjing Lou, Yunpeng Li
Correspondence: Kenneth M. Olsen(kolsen@wustl.edu)Qian Qian(qianqian188@hotmail.com)Xiaoming Zheng(zhengxiaoming@caas.cn)

https://doi.org/10.1038/s41422-026-01247-3

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