xiaojuan Wang

Dr. xiaojuan Wang

College of Natural Resources and Environment, Northwest A&F University,

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2017 in Bioresource Technology
Verified
Journal Article
Closed access
WSWen Song
Wen Song
XWxiaojuan Wang
xiaojuan Wang
JGJie Gu
Jie Gu
SZSheqi Zhang
Sheqi Zhang
YYYanan Yin
Yanan Yin
WSWei Sun
Wei Sun

21 October 2023 in Advances in Colloid and Interface Science
Verified
Journal Article
Closed access
JWJia Wang
Jia Wang
LALu An
Lu An
JWJun Wang
Jun Wang
JGJie Gu
Jie Gu
JSJian Sun
Jian Sun
XWxiaojuan Wang
xiaojuan Wang

1 August 2020 in Bioresource Technology
Verified
Journal Article
Closed access
HGHonghong Guo
Honghong Guo
JGJie Gu
Jie Gu
XWxiaojuan Wang
xiaojuan Wang
MNMubasher Nasir
Mubasher Nasir
JYJing Yu
Jing Yu
QWQianzhi Wang
Qianzhi Wang

1 January 2020 in Bioresource Technology
Verified
Journal Article
Closed access
JBJianfeng Bao
Jianfeng Bao
XWxiaojuan Wang
xiaojuan Wang
JGJie Gu
Jie Gu
XDXiaoxia Dai
Xiaoxia Dai
KZKaiyu Zhang
Kaiyu Zhang
HPHuiling Peng
Huiling Peng

XWxiaojuan Wang
xiaojuan Wang
JGJie Gu
Jie Gu
HGHua Gao
Hua Gao
XQXun Qian
Xun Qian
HLHaichao Li
Haichao Li
The spread of antibiotic resistance genes in river systems is an emerging environmental issue due to their potential threat to aquatic ecosystems and public health. In this study, we used droplet digital polymerase chain reaction (ddPCR) to evaluate pollution with clinically relevant antibiotic resistance genes (ARGs) at 13 monitoring sites along the main stream of the Weihe River in China. Six clinically relevant ARGs and a class I integron-integrase (intI1) gene were analyzed using ddPCR, and the bacterial community was evaluated based on the bacterial 16S rRNA V3–V4 regions using MiSeq sequencing. The results indicated Proteobacteria, Actinobacteria, Cyanobacteria, and Bacteroidetes as the dominant phyla in the water samples from the Weihe River. Higher abundances of blaTEM, strB, aadA, and intI1 genes (103 to 105 copies/mL) were detected in the surface water samples compared with the relatively low abundances of strA, mecA, and vanA genes (0–1.94 copies/mL). Eight bacterial genera were identified as possible hosts of the intI1 gene and three ARGs (strA, strB, and aadA) based on network analysis. The results suggested that the bacterial community structure and horizontal gene transfer were associated with the variations in ARGs.

1 February 2020 in Bioresource Technology
Verified
Journal Article
Closed access
YYYanan Yin
Yanan Yin
CYChao Yang
Chao Yang
JGJie Gu
Jie Gu
XWxiaojuan Wang
xiaojuan Wang
WZWei Zheng
Wei Zheng
RCRong Chen
Rong Chen