Ruirui Xu

Dr. Ruirui Xu


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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11 July 2016 in Journal of Genetics
Verified
Journal Article
Closed access
PDF file
HCHui Cao
Hui Cao
CLCai-Yun Liu
Cai-Yun Liu
CLChun-Xiang Liu
Chun-Xiang Liu
YZYueling Zhao
Yueling Zhao
RXRuirui Xu
Ruirui Xu

30 July 2016 in Molecular Genetics and Genomics
Verified
Journal Article
Closed access
PDF file
RXRuirui Xu
Ruirui Xu
CLCaiyun Liu
Caiyun Liu
NLNing Li
Ning Li
SZShizhong Zhang
Shizhong Zhang

2 October 2023 in bioRxiv
Verified
Preprint
Open access
PDF file
BDBaopeng Ding
Baopeng Ding
HHHaifei Hu
Haifei Hu
TLTingting Liu
Tingting Liu
Muhammad Tahir ul QamarMuhammad Tahir ul Qamar
Muhammad Tahir ul Qamar
YLYujing Lin
Yujing Lin
XGXuhu Guo
Xuhu Guo
The pear ( Pyrus spp .) is a remarkable fruit, well known for its diverse flavors, textures, culinary versatility, and global horticultural importance. However, the genetic diversity responsible for its extensive phenotypic variations remains largely unexplored. Here, we de novo assembled and annotated the genomes of the maternal (PsbM) and paternal (PsbF) lines of the hybrid ‘Yuluxiang’ pear and constructed the first pear pangenome of 1.15Gb by combining these two genomes with five previously published pear genomes. Using the constructed pangenome, we identified 21,224 gene PAVs and 1,158,812 SNPs in the non-reference genome that were absent in the PsbM reference genome. Compared with SNP markers, we found that PAV-based analysis provides additional insights into the pear population structure. In addition, we also revealed that some genes associated with pear fruit quality traits have differential occurrence frequencies and differential gene expression between Asian and European populations. Moreover, our analysis of the pear pangenome revealed a mutated SNP and an insertion in the promoter region of the gene PsbMGH3.1 potentially enhances sepal shedding in ‘Xuehuali’ which is vital for pear quality. This research helps further capture the genetic diversity of pear populations and provides valuable genomic resources for accelerating pear breeding.

31 May 2016 in Genes & Genomics
Verified
Journal Article
Closed access
PDF file
MSMeihong Sun
Meihong Sun
XZXiuyan Zhao
Xiuyan Zhao
NXNan Xu
Nan Xu
XLXiaocui Luo
Xiaocui Luo
YZYuemin Zhang
Yuemin Zhang
RXRuirui Xu
Ruirui Xu

23 June 2025 in Plants
Verified
Journal Article
Open access
PDF file
TZTianpeng Zhang
Tianpeng Zhang
PYPei Pei Yin
Pei Pei Yin
XYXing-Hong Yang
Xing-Hong Yang
YLYunqi Liu
Yunqi Liu
RXRuirui Xu
Ruirui Xu
Non-invasive Micro-test Technology (NMT) represents a pioneering approach in the study of physiological functions within living organisms. This technology possesses the remarkable capability to monitor the flow rates and three-dimensional movement directions of ions or molecules as they traverse the boundaries of living organisms without sample destruction. The advantages of NMT are multifaceted, encompassing real-time, non-invasive assessment, a wide array of detection indicators, and compatibility with diverse sample types. Consequently, it stands as one of the foremost tools in contemporary plant physiological research. This comprehensive review delves into the applications and research advancements of NMT within the field of plant abiotic stress physiology, including drought, salinity, extreme temperature, nutrient deficiency, ammonium toxicity, acid stress, and heavy metal toxicity. Furthermore, it offers a forward-looking perspective on the potential applications of NMT in plant physiology research, underscoring its unique capacity to monitor the flux dynamics of ions/molecules (e.g., Ca2+, H+, K+, and IAA) in real time, reveal early stress response signatures through micrometer-scale spatial resolution measurements, and elucidate stress adaptation mechanisms by quantifying bidirectional nutrient transport across root–soil interfaces. NMT enhances our understanding of the spatiotemporal patterns governing plant–environment interactions, providing deeper insights into the molecular mechanism of abiotic stress resilience.