12 results on '"Leilei Pan"'
Search Results
2. Characterization of AhLea-3 and its enhancement of salt tolerance in transgenic peanut plants
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Jingshan Wang, Hong Zhu, Wenjie Zhou, Leilei Pan, Lixian Qiao, Pingping Jiang, Yanyan Tang, Jiang Defeng, Sui Jiongming, and Hongchang Ji
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0106 biological sciences ,0301 basic medicine ,Stomatal conductance ,lcsh:Biotechnology ,Transgene ,Drought tolerance ,Genetically modified crops ,01 natural sciences ,Applied Microbiology and Biotechnology ,Transformation ,Superoxide dismutase ,Pollen tube pathway ,03 medical and health sciences ,Arachis hypogaea ,lcsh:TP248.13-248.65 ,010608 biotechnology ,lcsh:QH301-705.5 ,biology ,food and beverages ,Wilting ,Lea-3 ,Salt resistance ,Horticulture ,Transformation (genetics) ,Peanut ,030104 developmental biology ,lcsh:Biology (General) ,Catalase ,biology.protein ,Biotechnology - Abstract
Background Late embryogenesis abundant (LEA) proteins were reported to be related to adversity stress and drought tolerance. Lea-3 from Arachis hypogaea L. (AhLea-3) was previously found to be related to salt tolerance according to the result of transcriptome profiling and digital gene expression analysis. So, AhLea-3 was cloned and the salt tolerance was validated by transgenic peanut plants. Results AhLea-3 was isolated from M34, a salt-resistant mutant of peanut, with its cDNA as the template. AhLea-3 contains one intron and two extrons, and the full-length cDNA sequence contains 303 bp. AhLea-3 was ligated to pCAMBIA1301 to obtain the overexpression vector pCAMBIA1301-AhLea-3, which was then transferred into peanut variety Huayu23. The expression level of AhLea-3, as determined by qRT-PCR analysis, was >10 times higher in transgenic than in non-transgenic plants. Five days after they were irrigated with 250 mM NaCl, the transgenic plants showed less severe leaf wilting, higher activities of antioxidant enzymes (superoxide dismutase, peroxidase, and catalase), and lower malonic dialdehyde content than non-transgenic plants. Relative to non-transgenic plants, the transgenic plants had a higher photosynthetic net rate, stomatal conductance, and transpiration rate, and a lower intercellular CO2 concentration after salt stress treatment (250 mM NaCl). Conclusions These results indicate that overexpression of AhLea-3 increased the salt tolerance of transgenic peanut plants. AhLea-3 might become a useful gene resource for the variety breeding of salinity tolerance in peanut. How to cite: Qiao L, Jiang P, Tang Y, et al. Characterization of AhLea-3 and its enhancement of salt tolerance in transgenic peanut plants. Electron J Biotechnol 2021;49. https://doi.org/10.1016/j.ejbt.2020.10.006 more...
- Published
- 2021
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Catalog
3. Tree characteristics and drought severity modulate the growth resilience of natural Mongolian pine to extreme drought episodes
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Xiao Zhang, Zhaofei Fan, Zhongjie Shi, Leilei Pan, SeMyung Kwon, Xiaohui Yang, and Yanshu Liu
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Environmental Engineering ,Environmental Chemistry ,Pinus sylvestris ,Forests ,Pinus ,Pollution ,Waste Management and Disposal ,Droughts ,Trees - Abstract
Global climate change and the increase in the frequency and intensity of drought have led to widespread forest decline and tree mortality. Studying the resilience components of tree growth to drought, including resistance (R more...
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- 2022
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4. Identification of AhFatB genes through genome-wide analysis and knockout of AhFatB reduces the content of saturated fatty acids in peanut (Arichis hypogaea L.)
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Yanyan, Tang, Jianbin, Huang, Hongchang, Ji, Leilei, Pan, Changli, Hu, Xiaochen, Qiu, Hong, Zhu, Jiongming, Sui, Jingshan, Wang, and Lixian, Qiao
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Arachis ,Fatty Acids ,Genetics ,Humans ,Palmitic Acids ,Plant Science ,General Medicine ,Peanut Oil ,Agronomy and Crop Science ,Phylogeny - Abstract
Peanut (Arachis hypogaea L.) is an allotetraploid oilseed crop worldwide due to its abundant high-quality oil production. Peanut oil stability and quality are determined by the relative proportions of saturated fatty acids (SFAs) and unsaturated fatty acids (UFAs). The principle approach to minimize the content of SFAs in peanut is to reduce the content of palmitic acid, which is linked to cardiovascular disease. Acyl-acyl carrier protein thioesterases (FATs) determine the types and levels of fatty acids that are exported them from the plastids. Two different classes of FAT have been classified into two families in plants, FatA and FatB. Among them, AhFatB has become the primary objective to genetically reduce the content of palmitic acid in peanut. Here, we identified 18 AhFatB genes in A. hypogaea genome and grouped into four major subfamilies through gene structures and phylogenetic relationships. Expression profiling of AhFatB genes was assessed using the publicly available RNA-seq data and qRT-PCR in 22 tissues. Using the CRISPR/Cas9 system, we designed two sgRNAs to edit the homologs AhFatB genes Arahy.4E7QKU and Arahy.L4EP3N, and identified different types of mutations. Additionally, we discovered mutations at Arahy.4E7QKU exhibited low palmitic acid and high oleic acid phenotypes. The obtained peanut mutants with altered SFAs content have great potential for improving peanut oil quality for human health. more...
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- 2022
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5. Global assessment of the distribution and conservation status of a key medicinal plant (Artemisia annua L.): The roles of climate and anthropogenic activities
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Danyu Wang, Chaoyi Shi, Khan Alamgir, SeMyung Kwon, Leilei Pan, Yuanjun Zhu, and Xiaohui Yang
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Conservation of Natural Resources ,Asia ,Plants, Medicinal ,Environmental Engineering ,Anthropogenic Effects ,Climate ,Temperature ,Environmental Chemistry ,Artemisia annua ,Pollution ,Waste Management and Disposal - Abstract
As a medicinal plant, Artemisia annua L. is the main source of artemisinin in malaria drugs, but the lack of understanding of its distribution, environmental conditions and protection status limits the mass acquisition of artemisinin. Therefore, we used the ensemble forecast method to model the current and future global distribution areas of A. annua, evaluated the changes in suitable distribution areas on each continent under impacts of human activities and climate change, and its protection status on each continent in the corresponding period. The results showed that the main distribution areas of A. annua were concentrated in mid-latitudes in western and central Europe, southeastern Asia, southeastern North America and southeastern South America. Under the current climate scenario, human modifications have greatly reduced the suitable distribution area of A. annua, which was projected to expand inland with climate change and human socioeconomic impacts of CMIP6 in the future, but the effects of increasing temperature were different in different periods. Among all continents, the suitable distribution area in Europe was the most affected. However, at present and in the future, A. annua needs high priority protection on all continents. Asia and Europe have slightly better protection status scores than other continents, but the protection status scores of all continents are still very low. Our findings can be useful to guide development of protective measures for medicinal plants such as A. annua to further support drug production and disease treatment. more...
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- 2022
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6. Predictive ability of motion sickness susceptibility questionnaire for motion sickness individual difference in Chinese young males.
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Leilei, Pan, primary, Ruirui, Qi, additional, Shuifeng, Xiao, additional, Yuqi, Mao, additional, Yang, Su, additional, Rong, Xu, additional, Li, Gui, additional, and Yiling, Cai, additional
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- 2021
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7. Fluoride promotes osteoblastic differentiation through canonical Wnt/β-catenin signaling pathway
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Ming Zhao, Shuang Liu, Guifan Sun, Xiaoying Guo, Ruoxin Cai, Xiaoguang Shi, and Leilei Pan
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musculoskeletal diseases ,medicine.medical_specialty ,Time Factors ,Primary Cell Culture ,Core Binding Factor Alpha 1 Subunit ,Toxicology ,Collagen Type I ,Rats, Sprague-Dawley ,Glycogen Synthase Kinase 3 ,chemistry.chemical_compound ,Osteogenesis ,Internal medicine ,medicine ,Animals ,Osteonectin ,RNA, Messenger ,Phosphorylation ,Wnt Signaling Pathway ,Protein kinase B ,Cells, Cultured ,beta Catenin ,Cell Proliferation ,Glycogen Synthase Kinase 3 beta ,Osteoblasts ,Dose-Response Relationship, Drug ,biology ,Wnt signaling pathway ,LRP6 ,Cell Differentiation ,LRP5 ,General Medicine ,Alkaline Phosphatase ,Rats ,Cell biology ,Collagen Type I, alpha 1 Chain ,RUNX2 ,Endocrinology ,Animals, Newborn ,Gene Expression Regulation ,chemistry ,biology.protein ,Intercellular Signaling Peptides and Proteins ,Sodium Fluoride ,Signal transduction ,Proto-Oncogene Proteins c-akt ,Fluoride - Abstract
Although fluoride is known to stimulate bone formation, the underlying mechanisms are not fully understood. Recent studies have implicated the Wnt/β-catenin pathway as a major signaling cascade in bone biology. Our earlier studies highlighted a probable role of canonical Wnt pathway in bone formation of chronic fluoride-exposed rats, but the mechanism remains unclear. The current study determined the involvement of Wnt/β-catenin signaling in fluoride-induced osteoblastic differentiation. Using primary rat osteoblasts, we demonstrated that fluoride significantly promoted osteoblasts proliferation and alkaline phosphate (ALP) expression as well as the mRNA expression levels of bone differentiation markers, including type I collagen (COL1A1), ALP and osteonectin. We further found fluoride induced phosphorylations at serine 473 of Akt and serine 9 of glycogen synthase kinase-3β (GSK3β), which resulted in GSK-3β inhibition and subsequently the nuclear accumulation of the β-catenin, as shown by Western blot and immunofluorescence analysis. Moreover, fluoride also induced the expression of Wnt-targeted gene runt-related transcription factor 2 (Runx2). Importantly, the positive effect of fluoride on ALP activity and mRNA expressions of COL1A1, ALP, osteonection and Runx2 was abolished by DKK-1, a blocker of the Wnt/β-catenin receptor. Taken together, these findings suggest that fluoride promotes osteoblastic differentiation through Akt- and GSK-3β-dependent activation of Wnt/β-catenin signaling pathway in primary rat osteoblasts. Our findings provide novel insights into the mechanisms of action of fluoride in osteoblastogenesis. more...
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- 2014
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8. Optimization of concentration and length of laser medium in diode-end-pumped solid-state lasers considering energy-transfer-upconversion effects
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Leilei Pan, Zhang Ruihong, Li Wujun, Jintao Yu, and Wang Yaoting
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Active laser medium ,Energy transfer upconversion ,Materials science ,business.industry ,Physics::Optics ,chemistry.chemical_element ,Laser pumping ,Laser ,Neodymium ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,Self-pulsation ,law.invention ,Optics ,chemistry ,law ,Optoelectronics ,Laser power scaling ,Electrical and Electronic Engineering ,business ,Diode - Abstract
The influence of energy-transfer-upconversion effects and the divergence angle of pump beam on the laser performance of diode-end-pumped solid-state lasers are investigated. Based on it, the doping concentration and length of laser medium are optimized for diode-end-pumped Nd:YVO4 laser taking into account the thermal effect with ETU effects and the intrinsic loss of laser medium. The theoretical results are rather in good agreement with the published experimental data. The theoretical prediction of optimum neodymium doping concentration and the optimum length of Nd:YVO4 crystal are 0.08% and 13 mm, respectively. more...
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- 2013
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9. Spectral shifts of partially coherent radial array beams passing through ABCD optical systems
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Leilei Pan and Bin Zhang
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Physics ,Diffraction ,Ray transfer matrix analysis ,business.industry ,Spectral density ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,Superposition principle ,Optics ,Cardinal point ,Fresnel number ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,business ,Radiant intensity ,Fresnel diffraction - Abstract
The expressions for the spectral intensity of partially coherent Gaussian Schell-model (GSM) radial array beams for both the correlated and uncorrelated superpositions passing through ABCD optical systems have been derived by using the extended Huygens–Fresnel diffraction integral. The effects of the normalized radius R , the number of beamlets N , the spatial coherent parameter of array beamlets β and the optical system parameters on the on-axis and off-axis relative spectral shifts for the two types of superposition have been discussed in detail. The results show that for the correlated superposition, the on-axis spectral intensity in free space and the off-axis spectral intensity on the geometrical focal plane depends on the source spectral density S 0 ( ω ), the spatial coherent parameter of array beamlets β , the generalized Fresnel number of the system F , the normalized radius R and the number of beamlets N , whereas the spectral intensity for the uncorrelated superposition is independent of the number of beamlets N . Furthermore, as for on the actual focal plane, the off-axis spectral intensity for the two types of superposition is closely related to N . more...
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- 2010
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10. Analysing livestock farm odour using an adaptive neuro-fuzzy approach
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Simon X. Yang and Leilei Pan
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Engineering ,Artificial neural network ,Neuro-fuzzy ,business.industry ,media_common.quotation_subject ,Environmental engineering ,Soil Science ,Agricultural engineering ,Trial and error ,Fuzzy logic ,Control and Systems Engineering ,Production (economics) ,Quality (business) ,Livestock ,business ,Agronomy and Crop Science ,Membership function ,Food Science ,media_common - Abstract
In livestock farming, odour measurement and reduction are necessary for a cleaner environment, lower health risks to humans, and higher quality of livestock production. There have been many studies on modelling of livestock farm odour by analysing the chemical components in odorous air. It is suggested that the component analysis approaches should be extended to factors such as temperature, relative humidity, and airflow speed. In this paper, a neuro-fuzzy-based method for analysing odour generation factors to the perception of livestock farm odour was proposed. The proposed approach incorporates neuro-adaptive learning techniques into fuzzy logic method. Rather than choosing the parameters associated with a given membership function by trail and error, these parameters could be tuned automatically in a systematic manner so as to adjust the membership functions of the input/output variables for optimal system performance. A multi-factor livestock farm odour model was developed, and both numeric factors and linguistic factors were considered. The proposed approach was tested with a livestock farm odour database. The results demonstrated the effectiveness of the proposed approach in comparison to a typical neural network model. more...
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- 2007
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11. Factor Analysis of Downwind Odours from Livestock Farms
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Leilei Pan, J. DeBruyn, and Simon X. Yang
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Hydrology ,Engineering ,Electronic nose ,business.industry ,fungi ,Animal production ,Environmental engineering ,food and beverages ,Soil Science ,Poultry farming ,Analisis factorial ,Odor ,Control and Systems Engineering ,parasitic diseases ,behavior and behavior mechanisms ,Livestock ,business ,Pig farms ,Animal species ,Agronomy and Crop Science ,psychological phenomena and processes ,Food Science - Abstract
Odour emissions from livestock operations in Ontario have raised significant public concerns. In this study, downwind odour measurements were conducted during a 7-week period in July and August in 2004. The study involved taking measurements at two poultry farms, six dairy farms, and six pig farms in southern Ontario using both human assessor observed Nasal Ranger field olfactometers and an electronic nose developed in our research laboratory. The factors considered include animal species, distance to the odour source, and weather conditions (i.e. wind speed, temperature, cloud cover, and atmospheric stability). The collected data were studied and the relationships between individual factors and downwind odour intensity were analysed. In addition, the significance of the factors was investigated and ranked. The results show that downwind livestock farm odour should be considered as a complex system and it is suggested that multi-factor analysis be performed. The ranking of the significance of factors to odour intensity can improve the understanding of downwind odour systems and enhance the efficiency of odour evaluation and reduction techniques. Responses of the gas sensors in the electronic nose were compared with the perceived odour intensities, and good agreement was reported. more...
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- 2007
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12. Component and Factor Analysis of Pork Farm Odour using Structural Learning with the Forgetting Method
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Simon X. Yang, Leilei Pan, Lambert Otten, and R. R. Hacker
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Engineering ,Forgetting ,Artificial neural network ,business.industry ,media_common.quotation_subject ,Soil Science ,Machine learning ,computer.software_genre ,Identification (information) ,Component analysis ,Control and Systems Engineering ,Black box ,Component (UML) ,Production (economics) ,Quality (business) ,Artificial intelligence ,business ,Agronomy and Crop Science ,computer ,Food Science ,media_common - Abstract
In pig farming, odour measurement and reduction are necessary for a cleaner environment, lower health risks to humans, and higher quality of pig production. There have been many studies on the modelling of pork farm odour by analysing the chemical components in odorous air. It is suggested that the component analysis approach should be extended to factors such as temperature, relative humidity, and airflow speed. However, previous component and factor analysis did not examine which components or factors contribute significantly to a complex odour. A relative contribution analysis of potential odour components and factors to the perception of odour would allow identification of significant odour components and major contributing factors. Odour reduction practice for pork farms could then be directed towards the significant components and factors, thus improving the efficiency in developing odour measurement and reduction technologies. It is generally accepted that neural networks have several advantages over conventional techniques, for instance, their ability to automatically learn the relationship between the inputs and outputs without any previous knowledge of the system being studied, their powerful generalisation ability, and their capability of handling non-linear interactions. However, typical neural network models suffer from the so-called ‘black box’ problem, i.e. it offers no information about the system other than the input/output relationship. In this paper, existing methods for odour strength prediction were reviewed, and a neural network based multi-component multi-factor odour model was developed. To reveal the relative contribution of the inputs, the neural network was trained using an algorithm called structural learning with forgetting. By applying the structural learning with forgetting based algorithm, unnecessary neural connections faded away and a skeletal network emerged. The resulted skeletal network enabled an analysis of the contribution of components and factors. The effectiveness of the proposed approach was demonstrated by simulation and comparison studies. more...
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- 2006
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