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Yingjie Xiao

As seen in: Nature, Wiley Online Library, MDPI, Genome Biology, BioRxiv, Cell Press, Canadian Journal of Infectious Diseases & Medical Microbiology
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Articles

Robustly enhancing crop genomic prediction accuracy through ensemble learning and iterative optimization

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By Zhou Yao, Liguang Wang, Li Zhu, Xinle Li, Qiqi Wu, Fan Wu, Guoshuai Wang, Wenyu Yang, Yingjie Xiao, Jianxiao Liu
| Nature Verified
Abstract With climate change and global population growth, accelerating the breeding of superior crop varieties is essential for food security. Genomic prediction, which uses genome-wide genetic markers to predict crop traits, plays an important role in intelligent crop breeding. However, existing methods often lack stable and accurate performance across crops and traits.
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Multiomics analysis of primary metabolism reveals the genetic basis of nitrogen partitioning modulated by ZmAVT1A-1 in maize

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By Min Jin, Shijuan Yan, Yuting Wu, Saleh Alseekh, Yuanyuan Chen, Wenjie Huang, Niannian Ma, Keyu Tao, Yongli Zhu, Yanhui Peter Yu, Yang Shao, Chenglin Jiang, Xiangguo Liu, Jiamin Sun, Yanzhi Qu, Wenjie Wei, Wenqiang Li, Jieting Xu, Jingyun Luo, Xiaqing Wang, Lin Zhuo, Junpeng Zhan, Fazhan Qiu, Ning Yang, Yingjie Xiao, Hai-Jun Liu, Alisdair R. Fernie, Jianbing Yan, Zhaowei Zhai, Kangyi Xiao
| Nature Verified
Abstract Maize primary metabolism drives complex agronomic traits, yet its genetic regulation remains difficult to resolve. Here we integrated genomic, transcriptomic and metabolomic data from 1,404 maize progenies derived from 24 diverse founders to dissect the genetic architecture of primary metabolism.
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eQTL Analysis Elucidates the Genetic Basis Underlying Transgressive Gene Expression in Nelumbo Hybrids

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By Zhiyan Gao, Yingjie Xiao, Jinming Chen
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The whole-genome and RNA-seq sequencing data sets in this study have been submitted to the China National GeneBank Database (CNGBdb, https://db.cngb.org/) under the BioProject CNP0004116. The known and novel gene annotation (https://doi.org/10.6084/m9.figshare.26122492.v1) and gene expression profile (https://doi.org/10.6084/m9.figshare.26123953.v1) in this study are available in Figshare.
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