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51. Diterpenoids from Isodon serrawith promising anti-MRSA activities

Author

Li, Bailin, Hu, Juanjuan, Ji, Cuifang, and Wu, Jiewei

Abstract

A series of known diterpenoids from Isodon serra(Maxim.) Hara exhibited antibacterial activities against Staphylococcus aureusand even methicillin-resistant S. aureus(MRSA). Among these diterpenoids, hebeirubescensin K (7), effusanin E (8), and nodosin (9) showed the optimal minimum inhibitory concentration (MIC) values ranging from 3.12 to 6.25 μg/mL against tested MRSA strains, and they also inhibited bacterial proliferation, biofilm formation, and key gene expressions related to adhesion and virulence of MRSA. In vivo experiments also demonstrated the antibacterial abilities of 7–9as topical drugs and promoted wound healing caused by a MSRA infection. It is the first time that the anti-S. aureusand MRSA activities of diterpenoids from I. serrahas been systematically reported. These current findings provide insight into the anti-MRSA mechanism of diterpenoids from I. serra; indicating these compounds may be used as antimicrobial agents and contribute to the development as well as application of I. serrain phytomedicine for MRSA infections.

Published
2024
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52. Calibrated Aleatoric Uncertainty-Based Adaptive Label Distribution Learning for Pose Estimation of Sichuan Peppers

Author

Liu, Xueyin, Dong, Dawei, Luo, Jianqiao, and Li, Bailin

Abstract

Pose estimation is crucial to guide a visual harvesting robot to detach crops. In this article, pose estimation for Sichuan peppers is formulated as an ordinal classification problem by defining several pose labels. The shared appearance between neighboring poses results in label ambiguity; meanwhile, there exist obvious variations in ambiguity degrees across images. Conventional one-hot label representations neglect the ambiguity, suffering from overfitting problems. Contrastly, label distribution learning (LDL) methods can handle the pose ambiguity by smoothing a single label to a label distribution. Recent adaptive LDL (ALDL) attempts to construct instance-aware label distributions adaptive to changing ambiguity degrees. However, we find that the existing ALDL methods inevitably underestimate the ambiguity variations in pepper poses. In this article, we devise an ambiguity measure relying on aleatoric uncertainty (AU) and subsequently propose a calibrated AU-based ALDL method for pepper pose estimation. specifically, we start from quantifying AU values for training samples using Bayesian neural networks, where the AU expresses the inherent observation noise. Then, the AU values are calibrated to expected risks heuristically learned on validation sets, preventing AU overestimating the ambiguity. Afterward, the risks act as the ambiguity measure to construct instance-aware label distributions for network training. Experiments on real pepper images show that our method sufficiently captures the ambiguity variations in pepper poses and obtains 88% mean accuracy, outperforming current ALDL methods. Additionally, our method provides reliable assessment on the quality of pose predictions. Both the obtained accuracy and prediction quality are of great practical value to nondestructive harvesting.

Published
2024
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58. The northern corn leaf blight resistance gene Ht1 encodes an nucleotide‐binding, leucine‐rich repeat immune receptor

Author

Thatcher, Shawn, primary, Leonard, April, additional, Lauer, Marianna, additional, Panangipalli, Gayathri, additional, Norman, Bret, additional, Hou, Zhenglin, additional, Llaca, Victor, additional, Hu, Wang‐Nan, additional, Qi, Xiuli, additional, Jaqueth, Jennifer, additional, Severns, Dina, additional, Whitaker, David, additional, Wilson, Bill, additional, Tabor, Girma, additional, and Li, Bailin, additional

Published
2022
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61. The northern corn leaf blight resistance gene Ht1 encodes an nucleotide‐binding, leucine‐rich repeat immune receptor.

Author

Thatcher, Shawn, Leonard, April, Lauer, Marianna, Panangipalli, Gayathri, Norman, Bret, Hou, Zhenglin, Llaca, Victor, Hu, Wang‐Nan, Qi, Xiuli, Jaqueth, Jennifer, Severns, Dina, Whitaker, David, Wilson, Bill, Tabor, Girma, and Li, Bailin

Subjects
GENE expression, CORN diseases, BLIGHT diseases (Botany), MOLECULAR cloning, CORN, GENES, TRANSGENIC plants
Abstract

Northern corn leaf blight, caused by the fungal pathogen Exserohilum turcicum, is a major disease of maize. The first major locus conferring resistance to E. turcicum race 0, Ht1, was identified over 50 years ago, but the underlying gene has remained unknown. We employed a map‐based cloning strategy to identify the Ht1 causal gene, which was found to be a coiled‐coil nucleotide‐binding, leucine‐rich repeat (NLR) gene, which we named PH4GP‐Ht1. Transgenic testing confirmed that introducing the native PH4GP‐Ht1 sequence to a susceptible maize variety resulted in resistance to E. turcicum race 0. A survey of the maize nested association mapping genomes revealed that susceptible Ht1 alleles had very low to no expression of the gene. Overexpression of the susceptible B73 allele, however, did not result in resistant plants, indicating that sequence variations may underlie the difference between resistant and susceptible phenotypes. Modelling of the PH4GP‐Ht1 protein indicated that it has structural homology to the Arabidopsis NLR resistance gene ZAR1, and probably forms a similar homopentamer structure following activation. RNA sequencing data from an infection time course revealed that 1 week after inoculation there was a threefold reduction in fungal biomass in the PH4GP‐Ht1 transgenic plants compared to wild‐type plants. Furthermore, PH4GP‐Ht1 transgenics had significantly more inoculation‐responsive differentially expressed genes than wild‐type plants, with enrichment seen in genes associated with both defence and photosynthesis. These results demonstrate that the NLR PH4GP‐Ht1 is the causal gene underlying Ht1, which represents a different mode of action compared to the previously reported wall‐associated kinase northern corn leaf blight resistance gene Htn1/Ht2/Ht3. [ABSTRACT FROM AUTHOR]

Published
2023
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62. UAV Vehicle Object Detection Algorithm Based on Efficientnet.

Author

JIANG Degang, JIANG Zhi, HUANG Zijie, GUO Cailing, and LI Bailin

Abstract

In response to the problems of complex background in the aerial images of the UAV which brings about seriously missed detection as well as poor detection precision, and excessive parameters as well as slow detection speed in the present deep network, an object detection algorithm of UAV vehicle based on Eficientnet is proposed. Firstly, Eficientnet, the lightweight network, is introduced as the feature extraction network of the YOLOv3 model, reducing the size of the model parameters and improving the detection speed of the algorithm. Secondly, the UAV vehicle dataset is clustered by the K-means algorithm to obtain the better bounding box size, thus improving the detection precision. Finally, with the CIoU bounding box loss function, the regression loss of the model is improved, thus enhancing the convergence ability of the model. Experimental results show that mAP of 92.60% and FPS of 31.15 can be achieved in the self-made UAV vehicle dataset based on the improved algorithm, which is 2.12 percentage points and 9.87 higher than the original algorithm, respectively. Therefore, it is more suitable for vehicle detection tasks in UAV scenarios. [ABSTRACT FROM AUTHOR]

Published
2023
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63. PID Control of Nonlinear Motor-Mechanism Coupling System Using Artificial Neural Network

Author

Zhang, Yi, Feng, Chun, Li, Bailin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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68. The RppC-AvrRppC NLR-effector interaction mediates the resistance to southern corn rust in maize

Author

Deng, Ce, primary, Leonard, April, additional, Cahill, James, additional, Lv, Meng, additional, Li, Yurong, additional, Thatcher, Shawn, additional, Li, Xueying, additional, Zhao, Xiaodi, additional, Du, Wenjie, additional, Li, Zheng, additional, Li, Huimin, additional, Llaca, Victor, additional, Fengler, Kevin, additional, Marshall, Lisa, additional, Harris, Charlotte, additional, Tabor, Girma, additional, Li, Zhimin, additional, Tian, Zhiqiang, additional, Yang, Qinghua, additional, Chen, Yanhui, additional, Tang, Jihua, additional, Wang, Xintao, additional, Hao, Junjie, additional, Yan, Jianbing, additional, Lai, Zhibing, additional, Fei, Xiaohong, additional, Song, Weibin, additional, Lai, Jinsheng, additional, Zhang, Xuecai, additional, Shu, Guoping, additional, Wang, Yibo, additional, Chang, Yuxiao, additional, Zhu, Weiling, additional, Xiong, Wei, additional, Sun, Juan, additional, Li, Bailin, additional, and Ding, Junqiang, additional

Published
2022
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91. Distribution of genes, recombination, and repetitive elements in the maize genome

Author

Fengler, Kevin, Allen, Stephen M., Li, Bailin, and Rafalski, Antoni

Subjects
Genomics -- Research, Corn -- Research, Corn -- Genetic aspects, Agricultural industry, Business
Abstract

A high-density genetic map of maize (Zea mays L.), integrated with a high-resolution bacterial artificial chromosome (BAC) contig map compiled from two inbred lines, B73 and Mo17, was used to determine gene density and recombination frequency along chromosomes and to compare the distribution of these features as a function of physical distance. Recombination frequency is well correlated with gene density for each chromosome (r = 0.767-0.960), although in centromeric regions, recombination is more depressed than a strict correlation with gene density would indicate. In addition, the distribution of major retrotransposon classes and of Mu and Hefitron insertion sites were examined. Overall retratransposon density is equal at all maize chromosomes (r: 0.996), although different classes of retrotransposons display preferential insertion into different chromosome regions. Cinful, Zeon, and Prem are more common near the centromere, while Opie, Ji, and Huck preferentially reside at the subtelomeric segments of chromosomes. Grande does not show preference in distribution relative to physical location on the chromosome. Comparison of the distribution of genic overgo probe hybridization-positive BACs from maize inbred line B73 to those of the inbred Mo17 indicates that nonshared genic segments, many of which correspond to pseudogenes carried by the Hefitron elements, tend to be less common in the centromeric region. As previously reported, Mu transposons seem to preferentially insert in the vicinity of genes, as indicated by their paucity in centromeric regions, and moderate correlation (r= 0.759) with gene density.

Published
2007

95. The origin of the naked grains of maize

Author

Wang, Huai, Nussbaum-Wagler, Tina, Li, Bailin, Zhao, Qiong, Vigouroux, Yves, Faller, Marianna, Bomblies, Kirsten, Lukens, Lewis, and Doebley, John F.

Subjects
Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Author(s): Huai Wang [1, 5]; Tina Nussbaum-Wagler [1, 5]; Bailin Li [2]; Qiong Zhao [1]; Yves Vigouroux [1, 4]; Marianna Faller [2]; Kirsten Bomblies [1]; Lewis Lukens [3]; John F. [...]

Published
2005
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99. The Maize Hairy Sheath Frayed1 (Hsf1) Mutation Alters Leaf Patterning through Increased Cytokinin Signaling

Author

Muszynski, Michael G., primary, Moss-Taylor, Lindsay, additional, Chudalayandi, Sivanandan, additional, Cahill, James, additional, Del Valle-Echevarria, Angel R., additional, Alvarez-Castro, Ignacio, additional, Petefish, Abby, additional, Sakakibara, Hitoshi, additional, Krivosheev, Dmitry M., additional, Lomin, Sergey N., additional, Romanov, Georgy A., additional, Thamotharan, Subbiah, additional, Dam, Thao, additional, Li, Bailin, additional, and Brugière, Norbert, additional

Published
2020
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