Qian qian Liu

Qian qian Liu

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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忠马忠正 马
忠正 马
JRJingru Ren
Jingru Ren
QLQian qian Liu
Qian qian Liu
JLJingjing jing Li
Jingjing jing Li
HZHaoqin Zhao
Haoqin Zhao
FWFude Wang
Fude Wang
In the context of global climate change and efforts toward “carbon peak and carbon neutrality,” forest resource protection and restoration have become fundamental to ecological civilization. The genetic improvement of trees, as the primary component of forest ecosystems, holds strategic importance for ecological security, resource supply, and carbon neutrality. Traditional tree breeding techniques, including selective and hybrid breeding, have established robust technical systems through extensive practice. However, these methods face limitations such as extended cycles, reduced efficiency, and constrained genetic gains in meeting contemporary requirements. Modern biotechnologies, including genomic selection (GS), gene editing (CRISPR/Cas9), and marker-assisted selection (MAS), substantially enhance the precision and efficiency of genetic improvement. Nevertheless, exclusive reliance on either traditional or modern methods proves insufficient for addressing complex environmental adaptation and rapid breeding requirements. Consequently, the integration of traditional breeding with modern biotechnology to develop intelligent, sustainable, and efficient breeding strategies has emerged as a central focus in tree genetics and breeding. An integrated “step-by-step” approach warrants promotion, supported by a multi-source data sharing platform, an optimized core germplasm repository, and a “climate-soil-genotype” matching model to facilitate the region-specific deployment of improved varieties.

19 October 2025 in Plants
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WLWanxin Li
Wanxin Li
QLQian qian Liu
Qian qian Liu
JRJingru Ren
Jingru Ren
ZFZihan Fan
Zihan Fan
TGTabeer Gulfam
Tabeer Gulfam
JYJingli Yang
Jingli Yang
Drought stress significantly impairs plant growth and productivity, which triggers complex adaptive responses mediated by diverse gene families. Among these, the TOPLESS (TPL)/TPL-related (TPR) family of transcriptional corepressors plays a crucial role by recruiting epigenetic modifiers through interactions with EAR motif-containing proteins. However, genome-wide studies of this corepressor family and its associated regulatory networks with EAR motif-containing repressors remain limited. This study aimed to characterize the TPL/TPR transcriptional corepressor family in Populus ussuriensis Kom., elucidate their regulatory networks with EAR motif-containing repressors, and validate their functional roles in drought stress adaptation. To this end, we identified 21 TPL/TPR genes in P. ussuriensis (PuTPLs), classified them into five subfamilies, and found they are evolutionarily conserved with Arabidopsis thaliana and Populus trichocarpa, harboring characteristic CTLH and WD40 domains. Given that TPL/TPR proteins are recruited by transcription factors containing repression motifs, we constructed a putative TPL/TPR-EAR motif interaction network representing a core paradigm of negative regulation. Expression profiling under drought stress showed significant upregulation of most PuTPLs in a tissue-specific and temporal manner. Functional validation using transgenic P. ussuriensis lines overexpressing five PuTPLs demonstrated enhanced drought tolerance, evidenced by reduced electrolyte leakage and malondialdehyde content and increased proline accumulation. Our study provides the first comprehensive genome-wide analysis of the TPL/TPR family in P. ussuriensis, establishes a core EAR-mediated negative regulatory network, and validates the critical role of these genes in drought stress adaptation, providing valuable resources for future mechanistic research and breeding of stress-resistant trees.

16 October 2026 in New Phytologist
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Journal Article
Closed access
HZHaoqin Zhao
Haoqin Zhao
SZShicheng Zhao
Shicheng Zhao
TSTiantian Sun
Tiantian Sun
WZWenhui Zhuang
Wenhui Zhuang
JGJinhui Gao
Jinhui Gao
JYJingli Yang
Jingli Yang