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121 results on '"Xiang, Wenliang"'

16. D-Limonene Inhibits Pichia kluyveri Y-11519 in Sichuan Pickles by Disrupting Metabolism.

Author

Zeng, Chaoyi, Sun, Yue, Lin, Haoran, Li, Ziyu, Zhang, Qing, Cai, Ting, Xiang, Wenliang, Tang, Jie, and Yasurin, Patchanee

Subjects
KREBS cycle, CELL metabolism, ADENOSINE triphosphate, REACTIVE oxygen species, TRICARBOXYLIC acids, ODORS
Abstract

The Pichia kluyveri, a proliferation commonly found in Sichuan pickles (SCPs), can accelerate the growth and reproduction of spoilage bacteria, causing off-odor development and decay. Although D-limonene, a common natural preservative, effectively restricts P. kluyveri, its inhibitory mechanism remains unclear. This study aimed to elucidate this molecular mechanism by investigating the impact on basic P. kluyveri metabolism. The findings revealed that D-limonene inhibited P. kluyveri growth and disrupted the transcription of the genes responsible for encoding the enzymes involved in cell wall and membrane synthesis, oxidative phosphorylation, glycolysis, and the tricarboxylic acid (TCA) cycle pathway. The results indicated that these events disrupted crucial metabolism such as cell wall and membrane integrity, adenosine triphosphate (ATP) synthesis, and reactive oxygen species (ROS) balance. These insights provided a comprehensive understanding of the inhibitory effect of D-limonene on the growth and reproduction of P. kluyveri while highlighting its potential application in the SCP industry. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Impact of Exogenous Indoleacetic Acid on Nitrogen Cycling-Associated Bacteria in the Rhizosphere and Eutrophic Water Surrounding Hydrocotyle vulgaris Lam.

Author

Zhang, Min, Xiang, Wenliang, Song, Feifei, Zhu, Haoyu, Cai, Ting, Tang, Jie, and Zhang, Qing

Subjects
INDOLEACETIC acid, RHIZOBACTERIA, SEWAGE disposal plants, NITROGEN, BIOINDICATORS, EUTROPHICATION control, BIOLOGICAL nutrient removal
Abstract

Phytohormones have the potential to enhance the nutrient removal efficiency of aquatic plants in wastewater treatment. Here, we investigated the impact of indoleacetic acid (IAA) on nitrogen removal by Hydrocotyle vulgaris Lam during the remediation process of eutrophic water. This investigation involved evaluating the biological indicators of H. vulgaris Lam, the nitrogen salt removal efficiency in eutrophic water, as well as analyzing the bacterial structure and function in both the rhizosphere and eutrophic water surrounding H. vulgaris Lam. The results indicated that surface-sprayed 50 mg/L IAA significantly stimulated the growth of H. vulgaris Lam, including parameters such as blade number, leaf area, petiole length, stem thickness, stem length, and root length of H. vulgaris Lam. Furthermore, exogenous application of IAA significantly accelerated the nitrogen removal of NH4+−N, NO3−−N and total nitrogen (TN) in eutrophic water by promoting the NH4−N uptake of H. vulgaris Lam and NO3−−N denitrification. These findings suggest a potential application for exogenous IAA to enhance the nitrogen removal of H. vulgaris Lam in eutrophication control. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Whole Genome Sequencing Exploitation Analysis of Dibutyl Phthalate by Strain Stenotrophomonas Acidaminiphila Bdbp 071 Isolated from Tomato Rhizosphere Soilwhole Genome Sequencing Exploitation Analysis of Dibutyl Phthalate by Strain Stenotrophomonas Acidaminiphila Bdbp 071 Isolated from Tomato Rhizosphere Soil

Author

Zhang, Yingyue, primary, Tang, Jie, additional, Wu, Min, additional, Zhou, XueRui, additional, Wang, Su, additional, Ye, Hong, additional, Xiang, WenLiang, additional, Zhang, Qing, additional, and Cai, Ting, additional

Published
2022
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35. Actinobacterial Community Structure in Sediment from Lop Nur Salt Lake

Author

Xiaoping Zhang, Xing Yage, Yun Teng, Xiang Wenliang, Liu Ping, Tongwei Guan, Li Gong, Che Zhenming, Li-Li Zhang, Ke Li, and Zhang Lizhu

Subjects
Oceanography, Genetics, Community structure, Environmental science, Sediment, Pollution, Agronomy and Crop Science, Applied Microbiology and Biotechnology, Salt lake
Published
2013
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39. Temporal heterogeneity of prokaryotic micro-organism communities in sediment of traditional freshwater cultured fish ponds in Southwest China.

Author

Zhang, Qing, Tan, Xiao, Lin, Kai, Zeng, Lin, Xiang, Wenliang, and Tang, Jie

Subjects
BACTERIAL diversity, FISH ponds, ARCHAEBACTERIA, PROKARYOTES, MICROORGANISMS, MICROBIAL cultures, BACTERIAL cultures
Abstract

The temporal heterogeneity of prokaryotic microorganism communities in sediment of traditional freshwater cultured fish ponds in Southwest China were investigated by 16S rRNA clone libraries. The result indicated that a total of 47 archaea clones and 392 bacterial clones were recovered from three samples, among them, the bacteria Mitsuaria chitosanitabida, Prolixibacter bellariivorans and Flavihumibacter petaseus and archaea Methanoregula formicica were dominant in the cultivation 1 year (Y1) sample, the bacteria Cetobacterium somerae, Allochromatium vinosum and Rhabdochromatium marinum and archaea Methanolinea tarda were dominant in the cultivation 2 years (Y2) sample, the bacteria Cetobacterium somerae and Bacteroides fragilis and archaea Methanolinea tarda were dominant in the cultivation 4 years (Y4) sample. The Shannon–Wiener (H) diversity index and the Simpson dominancy index respectively varied from 2.23 to 2.37 and from 7.30 to 9.04 for three gene libraries. Maximum operational taxonomic unit (OTU) richness was respectively estimated with two different models SChao1 and SACE, and it revealed SChao1 15 and SACE 15 for Y1, SChao1 15.25 and SACE 15 for Y2, SChao1 12 and SACE 12 for Y4. However, the B. fragilis which was found in the Y4 sample was 99% similar to the human and animal pathogen B. fragilis. No pathogenic organisms related to humans or animals were found at any other sample. Mentionable, the more detailed information about the safety of fish pond cultivation environment should receive more attention and further studies. [ABSTRACT FROM AUTHOR]

Published
2018
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41. [Transformation of core Pseudomonas pseudoalcaligene insecticidal protein gene and its insecticidal expression in tobacco]

Author

Huang, Min, Li, Daxu, Xiang, Wenliang, Guo, Jianhua, Zhao, Jian, Zhang, Jie, Yang, Zhirong, and Sun, Qun

Subjects
Insecticides, Transformation, Genetic, Bacterial Toxins, Pseudomonas pseudoalcaligenes, Tobacco, Acacia, Animals, Gene Expression, Grasshoppers, Protein Sorting Signals, Genetic Engineering, Pest Control, Biological, Plant Diseases
Abstract

We studied the effect of the signal peptide sequence (SPS) on the expression of Pseudomonas pseudoalcaligenes insecticidal protein gene (ppip).We obtained the core pseudomonas pseudoalcaligenes insecticidal protein gene (cppip, ppip without the UTR and SPS) by PCR and ligated it into pCAMBIA2301 to generate plant express vector pCPPIP, which was then transformed into tobacco to investigate the insecticidal activity of cppip expression products by locust bioassays. The Kanamycin resistance segregation ratio was determined by the germination rate of T0-generation seeds of the transgenic tobacco. Integration of ppip into genomic DNA was detected by PCR and confirmed by Southern blotting.The bioassay with the 2nd and 3rd instar larvae of Locusta orthoptera showed that the crude proteins extracted from cppip transformed plants caused an average mortality of 83.37%. In contrast, the protein extracts from ppip transformed plants caused a much lower mortality (15.65%). The growth of locust was highly inhibited by the expression products of cppip when compared with the locusts fed with the protein extracts from wild type tobacco or tobacco transformed with intact ppip gene.The results indicated that the SPS might affect the insecticidal activity of ppip expressed in plants. The data of this study are helpful for cost-effective genetic engineering of plants with ppip gene.

Published
2008

49. Whole genome sequencing exploitation analysis of dibutyl phthalate by strain Stenotrophomonas acidaminiphilaBDBP 071

Author

Zhang, Yingyue, Tang, Jie, Wu, Min, Zhou, Xuerui, Wang, Su, Ye, Hong, Xiang, Wenliang, Zhang, Qing, and Cai, Ting

Abstract

Dibutyl phthalate (DBP) is widely used as a plasticizer in plastic food packaging and has attracted extensive attention due to its residual hazards and ability to accumulate. Microbial degradation is a very effective way to remove DBP from a polluted environment. In this study, Stenotrophomonas acidaminiphilaBDBP 071, a strain that efficiently degraded DBP was isolated from tomato rhizosphere soil. To obtain a comprehensive understanding of the degradation mechanism of DBP by S. acidaminiphilastrain BDBP 071, whole genome sequencing of this strain was performed. The results showed that the genome size of BDBP 071 was 3.87 Mb, the G + C content was 69.43%, and the number of predicted coding sequences was 3484. Based on whole genome sequencing, the metabolic pathway related to DBP biotransformation was obtained, and key genes were subsequently verified by a real-time quantitative polymerase chain reaction to infer the degradation pathway of DBP. It was preliminarily predicted that the relative expression of monoester hydrolase of EstB3 is increased in this strain. This study provides a scientific basis for applying S. acidaminiphilaBDBP 071 in environmental pollution bioremediation, as well as a rich resource for DBP biodegradation genes.

Published
2023
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50. Anomaly detection by prediction for health monitoring of satellites using LSTM neural networks

Author

Xiang, Wenliang, thesis supervisor: Rovatti, Riccardo, Xiang, Wenliang, and thesis supervisor: Rovatti, Riccardo

Abstract

Anomaly detection in satellite has not been well-documented due to the unavailability of satellite data, while it becomes more and more important with the increasing popularity of satellite applications. Our work focus on the anomaly detection by prediction on the dataset from the satellite, where we try and compare performance among recurrent neural network (RNN), Long Short-Term Memory (LSTM) and conventional neural network (NN). We conclude that LSTM with input length p=16, dimensionality n=32, output length q=2, 128 neurons and without maximum overlap is the best in terms of balanced accuracy. And LSTM with p=128, n=32, q=16, 128 and without maximum overlap outperforms most with respect to AUC metric. We also invent award function as a new performance metric trying to capture not only the correctness of decisions that NN made but also the amount of confidence in making its decisions, and we propose two candidates of award function. Regrettably, they partially meet our expectation as they possess a fatal defect which has been proved both from practical and theoretical viewpoints.

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