C
Chuanjiang Zhou
Researcher at Henan Normal University
Publications - 27
Citations - 392
Chuanjiang Zhou is an academic researcher from Henan Normal University. The author has contributed to research in topics: Gene & Mitochondrial DNA. The author has an hindex of 7, co-authored 23 publications receiving 260 citations.
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Toll-like receptor recognition of bacteria in fish: ligand specificity and signal pathways.
TL;DR: In-depth studies should be continuously performed to identify the ligand specificity of all TLRs in fish, particularly non-mammalian TLRs, and their signaling pathways.
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Label-free proteomic analysis of intestinal mucosa proteins in common carp (Cyprinus carpio) infected with Aeromonas hydrophila.
TL;DR: This study is the first to report proteome response of carp intestinal mucosa against A. hydrophila infection; information obtained contribute to understanding defence mechanisms of carpestinal mucosa.
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Expression patterns of Toll-like receptors in natural triploid Carassius auratus after infection with Aeromonas hydrophila.
TL;DR: Cloned fragments of 13 members of TLR family in natural triploid Qihe crucian carp suggested that three TLRs may play important roles in the immune responses of C. auratus to A. hydrophila infection.
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The complete mitogenome of natural triploid Carassius auratus in Qihe River
TL;DR: The complete mitochondrial genome sequence of Carassius auratus in Qihe River has been obtained with PCR and would contribute to better understand population genetics, conservation, and the evolution of natural triploid in China.
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The perplexing population genetic structure of Bellamya purificata (Gastropoda: Viviparidae): low genetic differentiation despite low dispersal ability
Qian-hong Gu,Qian-hong Gu,Chuanjiang Zhou,Qing-qing Cheng,Xuejun Li,Zhu Guorong,Man Zhang,Yunni Gao,Jing Dong +8 more
TL;DR: The genetic diversity of B. purificata was high in all studied populations and a low level of genetic differentiation existed among the eight populations with little restriction to gene flow, but no clear geographic structure was revealed by either Bayesian clustering, haplotype networks or AMOVA.