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Honglei Wang

Researcher at China Agricultural University

Publications -  5
Citations -  487

Honglei Wang is an academic researcher from China Agricultural University. The author has contributed to research in topics: Kosteletzkya virginica & Gene. The author has an hindex of 4, co-authored 4 publications receiving 356 citations.

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Recent Advances in Utilizing Transcription Factors to Improve Plant Abiotic Stress Tolerance by Transgenic Technology

TL;DR: Five large families of TFs belonging to families AP2/EREBP, MYB, WRKY, NAC, bZIP are taken as examples and recent progress ofTFs involved in plant abiotic stress responses and their potential utilization to improve multiple stress tolerance of crops in the field conditions are reviewed.
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Proline accumulation and metabolism-related genes expression profiles in Kosteletzkya virginica seedlings under salt stress

TL;DR: As the key enzyme genes for proline biosynthesis, the up-regulated expression of KvP5CS1 played a more important role than KvOAT for prolines accumulation in leaves under salt stress.
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Molecular cloning and bioinformatics analysis of a new plasma membrane Na⁺/H⁺ antiporter gene from the halophyte Kosteletzkya virginica.

TL;DR: A new plasma membrane Na+/H+ antiporter gene was cloned from the halophyte Kosteletzkya virginica by reverse-transcription-polymerase chain reaction (RT-PCR) and rapid amplification of cDNA ends (RACE) technology, which is a homologue of SOS1 (salt overly sensitive 1).
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Physiological Responses of Kosteletzkya virginica to Coastal Wetland Soil

TL;DR: Kosteletzkya virginica seedlings have good salt tolerance and this may be partly attributed to its osmotic regulation and antioxidant capacity which help to maintain water balance and normal ROS level to ensure the efficient photosynthesis.
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Enhancing the thermostability of carboxypeptidase A by a multiple computer-aided rational design based on amino acids preferences at β-turns.

TL;DR: In this paper , the authors showed that the thermostability of CPA can be improved by the multiple computer-aided rational design based on amino acid preferences at β-turns, broadening its industrial applicability of OTA degradation and providing a valuable strategy for the protein engineering of mycotoxin degrading enzymes.