Ying Liu

Dr. Ying Liu

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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30 December 2019 in BMC Plant Biology
Verified
Journal Article
Open access
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NLNan Lu
Nan Lu
MZMiaomiao Zhang
Miaomiao Zhang
YXYao Xiao
Yao Xiao
DHDonghua Han
Donghua Han
YLYing Liu
Ying Liu
JWJunhui Wang
Junhui Wang
Background: Catalpa bungei is an important tree species used for timber in China and widely cultivated for economic and ornamental purposes. A high-density linkage map of C. bungei would be an efficient tool not only for identifying key quantitative trait loci (QTLs) that affect important traits, such as plant growth and leaf traits, but also for other genetic studies. Results: Restriction site-associated DNA sequencing (RAD-seq) was used to identify molecular markers and construct a genetic map. Approximately 280.77 Gb of clean data were obtained after sequencing, and in total, 25,614,295 single nucleotide polymorphisms (SNPs) and 2,871,647 insertions-deletions (InDels) were initially identified in the genomes of 200 individuals of a C. bungei (7080) × Catalpa duclouxii (16-PJ-3) F1 population and their parents. Finally, 9072 SNP and 521 InDel markers that satisfied the requirements for constructing a genetic map were obtained. The integrated genetic map contained 9593 pleomorphic markers in 20 linkage groups and spanned 3151.63 cM, with an average distance between adjacent markers of 0.32 cM. Twenty QTLs for seven leaf traits and 13 QTLs for plant height at five successive time points were identified using our genetic map by inclusive composite interval mapping (ICIM). Q16–60 was identified as a QTL for five leaf traits, and three significant QTLs (Q9–1, Q18–66 and Q18–73) associated with plant growth were detected at least twice. Genome annotation suggested that a cyclin gene participates in leaf trait development, while the growth of C. bungei may be influenced by CDC48C and genes associated with phytohormone synthesis. Conclusions: This is the first genetic map constructed in C. bungei and will be a useful tool for further genetic study, molecular marker-assisted breeding and genome assembly.

28 January 2026 in PhytoKeys
Verified
Journal Article
Open access
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YLYing Liu
Ying Liu
ZLZhen-Yu Li
Zhen-Yu Li
JZJiang-Tao Zhang
Jiang-Tao Zhang
WGWan-Ting Ge
Wan-Ting Ge
MZMing-Gang Zhang
Ming-Gang Zhang
JWjunhui Wang
junhui Wang
Catalpa lutea J.H.Wang, W.J.Ma & Z.Y.Li, a new species of Bignoniaceae from north, central, and east China, is described and illustrated. By combining recent morphological comparisons with phylogenetic analyses of nuclear single-nucleotide polymorphisms (SNPs) and the chloroplast genome, we demonstrate that C. lutea is readily distinguishable from its congeners, including Catalpa fargesii Bureau and other Chinese species of section Catalpa . A detailed morphological description, illustrations, and molecular data are provided. While conforming to sect. Catalpa in its typically ovate leaf blades, didynamous stamens, and five corolla lobes, C. lutea is unequivocally distinguished by its narrowly ovate crown, yellow heartwood, bright yellow anthers, filaments with purple dots, conspicuously thickened deep purple striations within the corolla tube, and floral spots exceeding 1 mm in diameter. Additional diagnostic characters include young foliage frequently flushed purple, mature leaves green with a purple tinge on occasion, and 3–4 nectaries at the leaf axils on the abaxial surface. The conservation status of this species is assessed as “Data Deficient” (DD) according to the IUCN Red List Categories and Criteria.

10 October 2022 in Forests
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Journal Article
Open access
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XYXiaochi Yu
Xiaochi Yu
FLFeng Li
Feng Li
QZQiuling Zhao
Qiuling Zhao
JWJunhui Wang
Junhui Wang
YLYing Liu
Ying Liu
WMWenjun Ma
Wenjun Ma
To select excellent clones characterized by fast growth and high-quality wood of Catalpa fargesii Bur., growth traits, including height and diameter at breast height (DBH) at 1, 9, 11 and 13 years old, were collected and wood properties, including the Pilodyn value and elastic modulus at age 13 of 200 clones of C. fargesii from different ecological areas (four provinces), were measured. Genetic variation analysis and repeatability estimation were carried out. The correlation between the characteristics and the correlation between the characteristics and the geographical and climatic factors were analyzed. Excellent clones were selected by a comprehensive evaluation method combined with breeding values. The traits of C. fargesii were significantly different among the clones. The coefficient of variation (CV) ranged from 12.12% to 26.17%, and the repeatability (R) ranged from 0.79 to 0.97. The growth traits among ages of 9, 11 and 13 were significantly correlated, and the growth traits at ages of 9, 11 and 13 and Pilodyn values at the age of 13 were positively correlated with altitude and negatively correlated with longitude. Tree growth at ages of 11 and 13 showed a high negative correlation with wood properties. The suitable tree age for the early selection of clones with excellent growth and wood properties is 11 years old. Nine clones with excellent growth, six clones with high-quality wood and three clones with great growth and wood properties were selected, which laid a foundation for further optimization of C. fargesii clones. Additionally, C. fargesii clones in the western and high-altitude areas featured fast growth, while those in the eastern and low-altitude areas had better wood properties. This study serves as a reference for the selection of C. fargesii clones in different ecological areas.

21 May 2025 in Forests
Verified
Journal Article
Open access
PDF file
YLYing Liu
Ying Liu
WGWanting Ge
Wanting Ge
QZQiuling Zhao
Qiuling Zhao
JZJing Zhang
Jing Zhang
XGXiaolong Guo
Xiaolong Guo
WMWenjun Ma
Wenjun Ma
Fraxinus platypoda Oliv. (Oleaceae), an ecologically and economically valuable tree species with key distribution areas in northwestern China, faces conservation challenges due to its fragmented groups and scarce individual numbers. To investigate the genetic consequences of this demographic crisis, we analyzed 65 individuals from 11 natural groups in this region using whole-genome resequencing. We identified a total of 60,503,092 single nucleotide polymorphisms (SNPs), and after further filtering, retained 3,394,299 SNPs for subsequent analysis. Population structure analysis (Neighbor-Joining tree, STRUCTURE, and kinship coefficients) revealed two distinct genetic clusters (K = 2), with principal component analysis (PCA) confirming this subdivision. Cluster I, composed of eight individuals from Groups 3, 5, 8, and 11, is highly differentiated from Cluster II and may be ancestral to it. Among the 11 groups, Groups 3 and 11 show a high genetic diversity and differentiation, with Tajima’s D > 0, indicating a long evolutionary history and balancing selection. The remaining nine groups have a low diversity, low differentiation, and frequent gene flow, with Tajima’s D < 0, suggesting directional selection. A mantel test showed no significant link between genetic variation and geographic isolation (p = 0.460). The high differentiation of Cluster I and gene flow of Cluster II are maintained by factors like evolutionary history and reproductive systems. Groups 3 and 11 are highlighted as important genetic resources deserving priority protection. This study offers key genomic data for conserving fragmented tree species and future adaptability research.