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Hemocytes of bivalve mollusks as cellular models in toxicological studies of metals and metal-based nanomaterials 期刊论文
ENVIRONMENTAL POLLUTION, 2022, 卷号: 312, 页码: 14
作者:  Weng, Nanyan;  Meng, Jie;  Huo, Shouliang;  Wu, Fengchang;  Wang, Wen-Xiong
Adobe PDF(4261Kb)  |  收藏  |  浏览/下载：121/0  |  提交时间：2023/01/06
Bivalves  Hemocytes  Metals  Nanoparticles  Immunity  
Highly Sensitive and Specific Responses of Oyster Hemocytes to Copper Exposure: Single-Cell Transcriptomic Analysis of Different Cell Populations 期刊论文
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2022, 卷号: 56, 期号: 4, 页码: 2497-2510
作者:  Meng, Jie;  Wang, Wen-Xiong
Adobe PDF(9332Kb)  |  收藏  |  浏览/下载：121/0  |  提交时间：2022/07/15
oyster  Cu exposure  scRNA-seq  granulocytes  heterogeneity responses  
Whole-genome resequencing reveals the single nucleotide polymorphisms associated with shell shape in Crassostrea gigas 期刊论文
AQUACULTURE, 2022, 卷号: 547, 页码: 10
作者:  He, Xin;  Wu, Fucun;  Qi, Haigang;  Meng, Jie;  Wang, Wei;  Liu, Mingkun;  Li, Li;  Zhang, Guofan
Adobe PDF(1302Kb)  |  收藏  |  浏览/下载：185/0  |  提交时间：2022/02/18
Crassostrea gigas  Shell shape  Whole-genome resequencing  Single nucleotide polymorphism  Genotyping  
Functional heterogeneity of immune defenses in molluscan oysters Crassostrea hongkongensis revealed by high-throughput single-cell transcriptome 期刊论文
FISH & SHELLFISH IMMUNOLOGY, 2022, 卷号: 120, 页码: 202-213
作者:  Meng, Jie;  Zhang, Guofan;  Wang, Wen-Xiong
Adobe PDF(10205Kb)  |  收藏  |  浏览/下载：229/0  |  提交时间：2022/01/05
Oyster  scRNA-seq  Granulocytes  Hematopoietic factor  Pseudo-temporal ordering  
A genome-wide association study to identify the genes associated with shell growth and shape-related traits in Crassostrea gigas 期刊论文
AQUACULTURE, 2021, 卷号: 543, 页码: 9
作者:  He, Xin;  Li, Chunyan;  Qi, Haigang;  Meng, Jie;  Wang, Wei;  Wu, Fucun;  Li, Li;  Zhang, Guofan
Adobe PDF(2742Kb)  |  收藏  |  浏览/下载：230/0  |  提交时间：2021/12/07
Crassostrea gigas  Shell growth  Shell shape  GWAS  
Accumulation of different metals in oyster Crassostrea gigas: Significance and specificity of SLC39A (ZIP) and SLC30A (ZnT) gene families and polymorphism variation 期刊论文
ENVIRONMENTAL POLLUTION, 2021, 卷号: 276, 页码: 13
作者:  Meng, Jie;  Wang, Wen-Xiong;  Li, Li;  Zhang, Guofan
Adobe PDF(3162Kb)  |  收藏  |  浏览/下载：295/0  |  提交时间：2021/05/11
Oyster  Metals  Antioxidant enzyme  Zinc transporter  Genetic variation  
Identification of SNPs involved in Zn and Cu accumulation in the Pacific oyster (Crassostrea gigas) by genome-wide association analysis 期刊论文
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2020, 卷号: 192, 页码: 8
作者:  Meng, Jie;  Wang, Wenxiong;  Shi, Ruihui;  Song, Kai;  Li, Li;  Que, Huayong;  Zhang, Guofan
Adobe PDF(1463Kb)  |  收藏  |  浏览/下载：219/0  |  提交时间：2020/09/22
Oyster  Metal accumulation  SNP chips  Association analysis  Genetic basis  
Molecular responses of an estuarine oyster to multiple metal contamination in Southern China revealed by RNA-seq 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 701, 页码: 11
作者:  Li, Yunlong;  Zhang, Xinhui;  Meng, Jie;  Chen, Jieming;  You, Xinxin;  Shi, Qiong;  Wang, Wen-Xiong
Adobe PDF(2162Kb)  |  收藏  |  浏览/下载：211/0  |  提交时间：2020/03/20
Oysters  Metal contamination  Field population  Estuary  
bHLH genes polymorphisms and their association with growth traits in the Pacific oyster Crassostrea gigas 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2019, 页码: 7
作者:  Chen Na;  Li Li;  Li Chenghua;  Lin Zhihua;  Meng Jie;  Liu Sheng;  Song Kai;  Bao Yongbo
Adobe PDF(423Kb)  |  收藏  |  浏览/下载：360/0  |  提交时间：2020/03/20
Crassostrea gigas  basic helix-loop-helix (bHLH)  re-sequencing  single nucleotide polymorphism (SNP) shot  growth traits  
Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network 期刊论文
BMC GENOMICS, 2019, 卷号: 20, 期号: 1, 页码: 14
作者:  Meng, Jie;  Song, Kai;  Li, Chunyan;  Liu, Sheng;  Shi, Ruihui;  Li, Busu;  Wang, Ting;  Li, Ao;  Que, Huayong;  Li, Li;  Zhang, Guofan
Adobe PDF(3817Kb)  |  收藏  |  浏览/下载：322/0  |  提交时间：2020/01/03
Oyster  Nutrient traits  Genome resequencing  Population structure  Genome-wide association study  Genetic network