Analysis of genetic diversity and differentiation of artificial populations of yellowhorn (Xanthoceras sorbifolium) in China using ISSR markers

An, Chanhoon; Lee, Hyunseok; Lee, Jeong-Hoon; Cheong, Eun Ju; Li, Yuhua; Yi, Jae-Seon

doi:10.1007/s11676-016-0225-2

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…While yellowhorn is adapted to warm climate as its original distribution is in tropical region; however, the observed and predicted climate change are expected to cause greater challenges. Surprisingly, all moisture‐related climatic variables were nonsignificant indicating that temperature alone plays a major role in the species contemporary and future distributions and confirming the species drought resistance (An et al, ).…”

Section: Discussionmentioning

confidence: 67%

Conservation of genetic diversity hotspots of the high‐valued relic yellowhorn (Xanthoceras sorbifolium) considering climate change predictions

Zhu

Wang

Guan

et al. 2019

Ecology and Evolution

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Genetic structure and major climate factors may contribute to the distribution of genetic diversity of a highly valued oil tree species Xanthoceras sorbifolium (yellowhorn). Long‐term over utilization along with climate change is affecting the viability of yellowhorn wild populations. To preserve the species known and unknown valuable gene pools, the identification of genetic diversity “hotspots” is a prerequisite for their consideration as in situ conservation high priority. Chloroplast DNA (cpDNA) diversity was high among 38 natural populations (Hd = 0.717, K = 4.616, Tajmas’ D = −0.22) and characterized by high genetic divergence (FST = 0.765) and relatively low gene flow (Nm = 0.03), indicating populations isolation reflecting the species’ habitat fragmentation and inbreeding depression. Six out of the studied 38 populations are defined as genetic diversity “hotspots.” The number and geographic direction of cpDNA mutation steps supported the species southwest to northeast migration history. Climatic factors such as extreme minimum temperature over 30 years indicated that the identified genetic “hotspots” are expected to experience 5°C temperature increase in next following 50 years. The results identified vulnerable genetic diversity “hotspots” and provided fundamental information for the species’ future conservation and breeding activities under the anticipated climate change. More specifically, the role of breeding as a component of a gene resource management strategy aimed at fulfilling both utilization and conservation goals.

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Section: Discussionmentioning

confidence: 67%

Conservation of genetic diversity hotspots of the high‐valued relic yellowhorn (Xanthoceras sorbifolium) considering climate change predictions

Zhu

Wang

Guan

et al. 2019

Ecology and Evolution

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“…Xanthoceras sorbifolium Bunge is a TCM herb that has a long history of medicinal use. It is the only species of the genus Xanthoceras belonging to the Sapindaceae family ( 17 ), and is a native plant in northwestern China that is mainly distributed in Shaanxi, Shanxi, Hebei, Gansu, and Inner Mongolia ( 18 , 19 ). Modern pharmacological studies have shown that its active ingredients are primarily triterpenoids, flavonoids, phenolic acids, and saponins, which have a wide range of pharmacological activities, including antioxidant, antineuritic, antitumor, antilipogenesis, anti-obesity, anti-HIV, gastric protection, immunomodulatory, and anti-inflammatory activities ( 20 ).…”

Section: Introductionmentioning

confidence: 99%

Metabolomics analysis reveals amelioration effects of yellowhorn tea extract on hyperlipidemia, inflammation, and oxidative stress in high-fat diet-fed mice

Erdunduleng³

et al. 2023

Front. Nutr.

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Yellowhorn tea (YT) is traditionally used as a lipid-lowering beverage in Mongolian minorities. However, the pharmacological effects of YT extract and its specific metabolic changes in hyperlipidemia models are not fully understood. The aim of this study was to identify biomarkers using untargeted metabolomics techniques and to investigate the mechanisms underlying the changes in metabolic pathways associated with lipid lowering, anti-inflammation and anti-oxidant in hyperlipidemic mice. A high-fat diet (HFD)-induced hyperlipidemic mouse model was established. YT extract was administered as oral gavage at 0.15, 0.3, and 0.6 g/kg doses for 10 weeks. HFD-induced hyperlipidemia and the therapeutic effect of YT extract were evaluated based on histopathology and by assessing blood lipid levels. Liver inflammatory factors and oxidative stress indices were determined using enzyme-linked immunosorbent assays. Liver metabolites were evaluated using untargeted metabolomics. Biochemical and histological examinations showed that YT extract significantly reduced body-weight gain (p < 0.01) and fat deposition in tissues. YT extract significantly reduced the levels of serum and liver triglyceride and total cholesterol; inflammatory factors [interleukin (IL)-6, IL-1β, and tumor necrosis factor-α]; malondialdehyde; and leptin (p < 0.05) in hyperlipidemic mice. YT extract also significantly increased the levels of oxidative stress indicators (superoxide dismutase, catalase, and glutathione peroxidase) and adiponectin. Metabolomics studies revealed several endogenous molecules were altered by the high-fat diet and recovery following intervention with YT extract. The metabolites that were significantly different in the liver after YT intake included citicoline, acetylcholine, pyridoxine, and NAD. Pathway analysis indicated that YT extract ameliorated HFD-induced hyperlipidemia in mice via three major metabolic pathways, namely, glycerophospholipid metabolism, vitamin B6 metabolism, and nicotinate and nicotinamide metabolism. This study demonstrates YT extract has profound effects on the alleviation of HFD-induced hyperlipidemia, inflammation and oxidative stress.

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“…The practice of planting yellowhorn can be dated back thousands of years, but research did not start until the 1950s, and selection and breeding program mainly began in the 1970s (Wang, Yang, et al, 2017). Due to yellowhorn's rich genetic diversity, substantial differences in morphological characteristics as well as yield traits are present among individuals (An et al, 2016; Liu et al, 2013). Thus, selective high‐yield yellowhorn individuals by tree architecture is expected to effectively in yellowhorn management.…”

Section: Introductionmentioning

confidence: 99%

Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management

Wang,

Jia

et al. 2023

Food and Energy Security

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Tree architectural attributes demonstrate a significant association with fruit yield. Yellowhorn is the future bioenergy tree in China; however, the species suffers from high reproductive energy and exceedingly low reproductive output. To optimize yellowhorn management and pinpoint priority trees featuring optimal architecture, we employed machine learning modeling to develop high fruit yielding predictive models using five yield indicators (dependent variables: FrW, SeW, ShW, FrW, and SeN) and five tree characteristics (independent variables: CA, TH, DGL, HLC, and MBN) of yellowhorn. Results showed that trees characterized by a substantial canopy area (>1.70 m2) and a large diameter at ground level (>3.71 cm) have been found to yield a higher fruit production. However, increased tree height does not invariably correlate with an elevated yield. Effective selection of high‐yielding individuals can be accomplished by restricting tree height within the range of 192–232.4 cm. This approach emphasizes the importance of integrating considerations of tree architecture into forestry management practices. Such integration can bolster productivity, thereby contributing to both the sustainability and economic viability of yellowhorn forests.

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Analysis of genetic diversity and differentiation of artificial populations of yellowhorn (Xanthoceras sorbifolium) in China using ISSR markers

Cited by 7 publications

References 14 publications

Conservation of genetic diversity hotspots of the high‐valued relic yellowhorn (Xanthoceras sorbifolium) considering climate change predictions

Conservation of genetic diversity hotspots of the high‐valued relic yellowhorn (Xanthoceras sorbifolium) considering climate change predictions

Metabolomics analysis reveals amelioration effects of yellowhorn tea extract on hyperlipidemia, inflammation, and oxidative stress in high-fat diet-fed mice

Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management

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