18 Papers
34 Citations
Ying Wu is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Biology & Gene. The author has an hindex of 7, co-authored 14 publications. Previous affiliations of Ying Wu include Chinese Academy of Sciences & Nanjing University.
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Papers
BIK1 interacts with PEPRs to mediate ethylene-induced immunity
TL;DR: It is shown that PEPR1 specifically interacts with receptor-like cytoplasmic kinases botrytis-induced kinase 1 (BIK1) and PBS1-like 1 (PBL1) to mediate Pep1-induced defenses, illustrating a mechanism by which ET and PEPR signaling pathways act in concert to amplify immune responses.
315
Receptor-Like Cytoplasmic Kinases Directly Link Diverse Pattern Recognition Receptors to the Activation of Mitogen-Activated Protein Kinase Cascades in Arabidopsis.
Guozhi Bi,Zhaoyang Zhou,Weibing Wang,Lin Li,Shaofei Rao,Ying Wu,Xiaojuan Zhang,Frank L.H. Menke,She Chen,Jianmin Zhou +9 more
TL;DR: Two highly related MAPKKKs are shown to mediate MPK3/6 activation by at least four PRRs and confer resistance to bacterial and fungal pathogens in Arabidopsis thaliana, illustrating central mechanisms by which multiple PRRs activate MAPK cascades and disease resistance.
268
Roles of Receptor-Like Cytoplasmic Kinase VII Members in Pattern-Triggered Immune Signaling
Shaofei Rao,Zhaoyang Zhou,Pei Miao,Guozhi Bi,Man Hu,Ying Wu,Feng Feng,Xiaojuan Zhang,Jianmin Zhou +8 more
TL;DR: Results show that numerous RLCK VII members are involved in pattern-triggered immune signaling and uncover both common and specific roles of these kinases in plant development and immunity mediated by various RKs.
172
Variation in the ratio of nucleotide substitution and indel rates across genomes in mammals and bacteria
TL;DR: The ratio of nucleotide substitutions to indels (S/I) in different regions of 4 primates, 70 bacteria, and 8 other genomes is investigated to suggest that the S/I ratio may reflect differences in the efficacy of selection against indels.
146
GC-Content of Synonymous Codons Profoundly Influences Amino Acid Usage.
TL;DR: The results suggest that GCsyn correlates with GC-content and has impact on codon/amino acid usage, and suggest a novel approach to understanding the role of codon and amino acid usage in shaping genomic architecture and evolutionary patterns of organisms.