Mingkun Cheng^1,2, Ju Min^2,*, Yanying Zhang², Yuhe Wang³, Xia Wang⁴, Weiming Shi^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2439-2453, 2024, DOI:10.32604/phyton.2024.054182 - 30 September 2024

Abstract Vegetable runoff nitrogen (N) loss is a serious environmental issue. However, whether the volume or N content of runoff determines the final N losses has not been clarified, which limited the optimal N managements in vegetable production. Here, we conducted a simulated rainfall experiment to study the runoff N loss flux pattern and the accumulation rate as well as the main influencing factors. The results showed that at 20 to 30 min, the volume of runoff water with a high N content reaches a critical inflection point of increase. Under 55 mm/h rainfall intensity, the… More >

Yue Chen^1,2,#, Huan Wang^1,#, Taibai Xu¹, Peng Zhou¹, Junsong Pan², Weiwei She^1,*, Weiwei Zhang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1059-1070, 2023, DOI:10.32604/phyton.2023.026486 - 06 January 2023

Abstract Fruit spine is an important quality trait of cucumber. To better understand the molecular basis of cucumber spine development and function, RNA-Seq was performed to identify differentially expressed genes (DEGs) in fruit spines of different development stages, namely, 8 days before anthesis (SpBA8), anthesis (SpA) and 8 days after anthesis (SpAA8). Stage-wise comparisons obtained 2,259 (SpBA8 vs. SpA), 4,551 (SpA vs. SpAA8), and 5,290 (SpBA8 vs. SpAA8) DEGs. All the DEGs were classified into eight expression clusters by trend analysis. Among these DEGs, in addition to the Mict, Tril, CsTTG1, CsMYB6, NS, and Tu genes that have been reported to More >

Savita Bhardwaj¹, Tunisha Verma¹, Ali Raza^2,*, Dhriti Kapoor^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 763-782, 2023, DOI:10.32604/phyton.2023.025672 - 29 November 2022

Abstract

Arsenic (As) contaminated food chains have emerged as a serious public concern for humans and animals and are known to affect the cultivation of edible crops throughout the world. Therefore, the present study was designed to investigate the individual as well as the combined effects of exogenous silicon (Si) and sodium nitroprusside (SNP), a nitric oxide (NO) donor, on plant growth, metabolites, and antioxidant defense systems of radish (Raphanus sativus L.) plants under three different concentrations of As stress, i.e., 0.3, 0.5, and 0.7 mM in a pot experiment. The results showed that As stress reduced the

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YOLANDA GONZÁLEZ-GARCÍA¹, VALERIA FLORES-ROBLES², GREGORIO CADENAS-PLIEGO³, ADALBERTO BENAVIDES-MENDOZA⁴, MARCELINO CABRERA DE LA FUENTE⁴, ALBERTO SANDOVAL-RANGEL⁴, ANTONIO JUÁREZ-MALDONADO^1,*

BIOCELL, Vol.46, No.11, pp. 2497-2506, 2022, DOI:10.32604/biocell.2022.021861 - 07 July 2022

Abstract The metabolic activity of the fruits continues even after harvest, which results in the loss of bioactive compounds, a decrease in the quality of the fruits, softening and browning, among other negative effects. The use of certain elements such as silicon can improve postharvest quality, since it is involved in the metabolic, physiological and structural activity of plants, moreover can increase the quality of the fruits. In addition, nanotechnology has had a positive impact on crop yield, nutritional value, fruit quality and can improve antioxidant activity. For these reasons, the use of beneficial elements such… More >

Rui Lv¹, Liang Wang¹, Dalin Tang^1,*,2

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 27-28, 2019, DOI:10.32604/mcb.2019.06829

Abstract Medical imaging and image-based computational modeling have been used by many researchers in recent years to quantify atherosclerotic plaque morphological and biomechanical characteristics and predict the coronary plaque growth and rupture processes. However, it has been hard to validate model predictions due to imaging resolution limitation, lack of clinical events and plaque rupture data. This article reviews recent advances in coronary plaque research over the past decade, including medical imaging techniques represented by intravascular ultrasound (IVUS) and optical coherence tomography (OCT), computational modeling and their applications in plaque progression and vulnerability analyses and predictions. The… More >

Xiaoya Guo¹, Dalin Tang^1,2,*, David Molony³, Chun Yang², Habib Samady³, Jie Zheng⁴, Gary S. Mintz⁵, Akiko Maehara⁵, Jian Zhu⁶, Genshan Ma⁶, Mitsuaki Matsumura⁵, Don P. Giddens^3,7

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 75-76, 2019, DOI:10.32604/mcb.2019.05743

Abstract Atherosclerotic plaque progression is generally considered to be closely associated with morphological and mechanical factors. Plaque morphological information on intravascular ultrasound (IVUS) and optical coherence tomography (OCT) images could complement each other and provide for more accurate plaque morphology. Fluid-structure interaction (FSI) models combining IVUS and OCT were constructed to obtain accurate plaque stress/strain and flow shear stress data for analysis. Accuracy and completeness of imaging and advanced modeling lead to accurate plaque progression predictions.
In vivo IVUS and OCT coronary plaque data at baseline and follow-up were acquired from left circumflex coronary and right coronary… More >

Li RS¹, YJ Tao², FJ Liu², X Hu², QL Xu², KY Li²

Phyton-International Journal of Experimental Botany, Vol.85, pp. 87-93, 2016, DOI:10.32604/phyton.2016.85.087

Abstract The grass pea (Lathyrus sativus L.) and flatpod peavine (Lathyrus cicera L.) are the most economically important and widely cultivated Lathyrus species. However, their utilization is limited due to the presence of their endogenous toxin β-N-oxalyl-L-α, β-diaminopropionic acid (β-ODAP). Thus, a β-ODAP free variety should be developed through some plant breeding technique like either mutational breeding or genetic-manipulation. In this circumstance, the plant regeneration of Lathyrus species becomes a bottleneck. In the present study, an efficient system for in vitro regeneration of L. sativus with high β-ODAP levels, and L. cicera with low β-ODAP levels, was developed from different explants (axillary… More >

Hongjian Wang^*, Jie Zheng^†, LiangWang^‡, Akiko Maehara^§, Chun Yang^II, David Muccigrosso^†, Richard Bachk^II, Jian Zhu^**, Gary S. Mintz^§, Dalin Tang^*,‡,††

Molecular & Cellular Biomechanics, Vol.12, No.2, pp. 107-122, 2015, DOI:10.3970/mcb.2015.012.107

Abstract Computational modeling has been used extensively in cardiovascular and biological research, providing valuable information. However, 3D vulnerable plaque model construction with complex geometrical features and multicomponents is often very time consuming and not practical for clinical implementation. This paper investigated if 2D atherosclerotic plaque models could be used to replace 3D models to perform correlation analysis and achieve similar results. In vivo intravascular ultrasound (IVUS) coronary plaque data were acquired from a patient follow-up study to construct 2D structure-only and 3D FSI models to obtain plaque wall stress (PWS) and strain (PWSn) data. One hundred… More >

Molecular & Cellular Biomechanics, Vol.9, No.1, pp. 77-94, 2012, DOI:10.3970/mcb.2012.009.077

Abstract Image-based computational modeling has been introduced for vulnerable atherosclerotic plaques to identify critical mechanical conditions which may be used for better plaque assessment and rupture predictions. In vivo patient-specific coronary plaque models are lagging due to limitations on non-invasive image resolution, flow data, and vessel material properties. A framework is proposed to combine intravascular ultrasound (IVUS) imaging, biaxial mechanical testing and computational modeling with fluid-structure interactions and anisotropic material properties to acquire better and more complete plaque data and make more accurate plaque vulnerability assessment and predictions. Impact of pre-shrink-stretch process, vessel curvature and high More >

Mingchao Cai, Chun Yang, Mehmet H. Kural, Richard Bach, David Muccigrosso, Deshan Yang, Jie Zheng, Kristen L. Billiar, Dalin Tang

The International Conference on Computational & Experimental Engineering and Sciences, Vol.19, No.4, pp. 97-104, 2011, DOI:10.3970/icces.2011.019.097

Abstract Image-based computational modeling has been introduced for vulnerable atherosclerotic plaques to identify critical mechanical conditions which may be used for better risk assessment and rupture predictions. In vivo patient-specific coronary plaque models are lagging due to limitations on non-invasive image resolution, flow data, and vessel material properties. We propose a procedure where intravascular ultrasound (IVUS) imaging, biaxial mechanical testing and computational modeling are combined together to acquire better and more complete plaque data and make more accurate plaque vulnerability assessment and predictions. More >