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25 results on '"Zhang, Qinbin"'

13. Strengthening the Practical Application of Experiments Assessing Maize Drought Tolerance

Author

Zhang, Qinbin and Wang, Wei

Subjects
plant_sciences
Abstract

Drought is among the most important abiotic stressors influencing food-crop production worldwide. Currently, drought-tolerant maize materials are rarely used for actual breeding because corn production primarily focuses on heterosis to generate desired varieties. In this article, we reviewed current work on assessing maize drought tolerance. We suggested that the development of enhanced screening techniques must clearly consider the connection between theory and application. We strongly recommend that agricultural scientists focus on translating the results of laboratory experiments into practical methods for improving crop productivity.

Published
2020

22. The complete genome sequence of Bacillus thuringiensis serovar Hailuosis YWC2-8

Author

Jun Zhu, Zizhong Zhu, Ye Cao, Linxia Wang, Zhang Qinbin, Qiao Li, and Ping Li

Subjects
0301 basic medicine, 030106 microbiology, Bacillus thuringiensis, Bioengineering, Applied Microbiology and Biotechnology, Microbiology, Lepidoptera genitalia, 03 medical and health sciences, Plasmid, Genome Size, Animals, Genome size, Gene, Soil Microbiology, Whole genome sequencing, Genetics, biology, Diptera, fungi, Chromosome, General Medicine, Chromosomes, Bacterial, biology.organism_classification, Lepidoptera, 030104 developmental biology, Biological Control Agents, Genome, Bacterial, Bacteria, Plasmids, Biotechnology
Abstract

Bacillus thuringiensis, a typical aerobic, Gram-positive, spore-forming bacterium, is an important microbial insecticide widely used in the control of agricultural pests. B. thuringiensis serovar Hailuosis YWC2-8 with high insecticidal activity against Diptera and Lepidoptera insects has three insecticidal crystal protein genes, such as cry4Cb2, cry30Ea2, and cry56Aa1. In this study, the complete genome sequence of B. thuringiensis YWC2-8 was analyzed, which contains one circular gapless chromosome and six circular plasmids.

Published
2016
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24. Subcellular locations of potential cell wall proteins in plants: predictors, databases and cross-referencing.

Author

Wu, Xiaolin, Zhang, Qinbin, Wu, Zhaokun, Tai, Fuju, and Wang, Wei

Subjects
*PLANT cell walls, *PLANT proteins, *PLANT proteomics, *TRANSCRIPTOMES, *GENOMES
Abstract

The cell wall is the most striking feature that distinguishes plant cells from animal cells. It plays an essential role in cell shape, stability, growth and protection. Despite being present in small amounts, cell wall proteins (CWPs) are crucial components of the cell wall. The cell wall proteome generally consists of sensu stricto CWPs, apoplast proteins and extracellular secreted proteins. Currently, there is a need for the bioinformatics analysis of a tremendous number of protein sequences that have been generated from genomic, transcriptomic and proteomics research. Compared with intracellular proteins, the location prediction of CWPs is challenging because many aspects of these proteins have not been experimentally characterized, and there are no CWP-trained, specific predictors available. By introducing the biological relevance (particularly molecular aspects) of the cell wall and CWPs, we critically evaluated the accuracy of 16 state-of-the-art predictors and classical predictors for the prediction of CWPs using an independent database of Arabidopsis and rice proteins. All experimentally verified CWPs and non-CWPs were retrieved from the UniProt Knowledgebase. Based on the evaluation, we currently recommend the predictors mGOASVM, HybridGO-Loc and FUEL-mLoc for CWPs. Furthermore, we outlined the public databases that can be used to cross-reference the subcellular location of CWPs. We illustrate a flowchart of the subcellular location prediction and a cross-reference of possible CWPs. Finally, we discuss challenges and perspectives in the bioinformatics analysis of CWPs. It is hoped that this article will provide practical guidance regarding CWPs for nonspecialists and provide insight for bioinformatics experts to develop computational tools for CWPs. [ABSTRACT FROM AUTHOR]

Published
2018
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