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Yiying Qi

As seen in: Nature, New Phytologist, Royal Society of Chemistry
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Articles

Haplotype-resolved genome assembly sheds light on the evolutionary history of autohexaploid Tripidium arundinaceum

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By Zhen Li, Yiying Qi, Xinlong Liu, Baiyu Wang, Qing Zhang, Gang Wang, Jin Chai, Yixing Zhang, Hanjing Liu, Yuhao Wang, Jia Liu, Qiaoyu Wang, Huihong Shi, Yumin Huang, Xiuqin Lin, Zuhu Deng, Jisen Zhang, Xiuting Hua, Ruiting Gao, Gui Zhuang, Nameng Qi
| Nature Verified
Abstract Tripidium arundinaceum, a wild perennial grass with exceptional stress tolerance, has been tested in sugarcane breeding. Its complex polyploid genome has hindered understanding of its evolution and adaptive traits. Here, we present a high-quality, haplotype-resolved reference genome for autohexaploid T. arundinaceum Hainan92-105 (2n = 6x = 60). T.
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Recycling senescent cell lipids for targeted senotherapy

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By Xiaoxiao Ji, Honglu Cai, Peng Tang, Hao Zhou, Jiajie Wang, Yifan Wu, Jinfeng Zhou, zhang Lin, Kaicheng Xu, Changjian Lin, Xiaoyong Wu, Kanbin Wang, Wangmi Liu, Gang Feng, Shigui Yan, Guangyao Jiang, Zihao Qu, Yiying Qi, Xingzi He
| Nature Verified
Abstract Senescent cells (SnCs) are increasingly recognized as key contributors to osteoarthritis, with conventional strategies centered on their elimination. However, senolytic approaches face mounting limitations, driving the need for refined interventions. Here, we exploit SnCs’ lipid metabolic signature to develop a senotherapeutic strategy.
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Evolution of paleo‐duplicated chromosome pairs with enrichment of NBS‐LRR genes generated through ρ‐WGD in Poaceae

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By Yuhao Wang, Yiying Qi, Yixing Zhang, Baiyu Wang
| New Phytologist
Data availability The sequencing data used in this study were obtained from public databases, including NCBI (https://www.ncbi.nlm.nih.gov/) and NGDC (https://ngdc.cncb.ac.cn/) and other similar repositories. Table  lists the accession numbers for transcriptome data, while Table  provides the accession numbers for epigenetic data. Some histone modification data were obtained from the high-throughput gene expression database (Gene Expression Omnibus, GEO) as bigwig files, with the accession no.
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