Ya-Nan Zhang

Dr. Ya-Nan Zhang


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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2 December 2015 in BMC Genomics
Verified
Journal Article
Open access
PDF file
XLXiaoming Li
Xiaoming Li
XZXiu-Yun Zhu
Xiu-Yun Zhu
ZWZhiqiang Wang
Zhiqiang Wang
YWYi Wang
Yi Wang
PHPeng He
Peng He
YZYa-Nan Zhang
Ya-Nan Zhang
Since chemosensory genes play key roles in insect behaviour, they can potentially be used as new targets for pest control. The cabbage beetle, Colaphellus bowringi, is a serious insect pest of cruciferous vegetables in China and other Asian countries. However, a systematic identification of the chemosensory genes expressed in the antennae has not been reported. We assembled the antennal transcriptome of C. bowringi by using Illumina sequencing technology and identified 104 candidate chemosensory genes by analyzing transcriptomic data, which included transcripts encoding 26 odorant-binding proteins (OBPs), 12 chemosensory proteins (CSPs), four sensory neuron membrane proteins (SNMPs), 43 odorant receptors (ORs), nine ionotropic receptors (IRs), and ten gustatory receptors (GRs). The data obtained are similar to those found in other coleopteran species, suggesting that our approach successfully identified the chemosensory genes of C. bowringi. The expression patterns of 43 OR genes, some of which were predominately found in the antenna or associated with sex-biased expression, were analyzed using quantitative real time RT-PCR (qPCR). Our study revealed that a large number of chemosensory genes are expressed in C. bowringi. These candidate chemosensory genes and their expression profiles in various tissues provide further information on understanding their function in C. bowringi as well as other insects, and identifying potential targets to disrupt the odorant system in C. bowringi so that new methods for pest management can be developed.

14 October 2016 in PLOS ONE
Verified
Journal Article
Open access
PDF file
LZLong-Wa Zhang
Long-Wa Zhang
KKKe Kang
Ke Kang
SJShi-Chang Jiang
Shi-Chang Jiang
YZYa-Nan Zhang
Ya-Nan Zhang
TWTian-Tian Wang
Tian-Tian Wang
DDDe-Gui Ding
De-Gui Ding
Hyphantria cunea (Drury) (Lepidoptera: Arctiidae) is an invasive insect pest which, in China, causes unprecedented damage and economic losses due to its extreme fecundity and wide host range, including forest and shade trees, and even crops. Compared to the better known lepidopteran species which use Type-I pheromones, little is known at the molecular level about the olfactory mechanisms of host location and mate choice in H. cunea, a species using Type-II lepidopteran pheromones. In the present study, the H. cunea antennal transcriptome was constructed by Illumina Hiseq 2500TM sequencing, with the aim of discovering olfaction-related genes. We obtained 64,020,776 clean reads, and 59,243 unigenes from the analysis of the transcriptome, and the putative gene functions were annotated using gene ontology (GO) annotation. We further identified 124 putative chemosensory unigenes based on homology searches and phylogenetic analysis, including 30 odorant binding proteins (OBPs), 17 chemosensory proteins (CSPs), 52 odorant receptors (ORs), 14 ionotropic receptors (IRs), nine gustatory receptors (GRs) and two sensory neuron membrane proteins (SNMPs). We also found many conserved motif patterns of OBPs and CSPs using a MEME system. Moreover, we systematically analyzed expression patterns of OBPs and CSPs based on reverse transcription PCR and quantitative real time PCR (RT-qPCR) with RNA extracted from different tissues and life stages of both sexes in H. cunea. The antennae-biased expression may provide a deeper further understanding of olfactory processing in H. cunea. The first ever identification of olfactory genes in H. cunea may provide new leads for control of this major pest.

1 March 2020 in Pesticide Biochemistry and Physiology
Verified
Journal Article
Closed access
XZXiao-Qing Zhang
Xiao-Qing Zhang
QYQi Yan
Qi Yan
LLLu-Lu Li
Lu-Lu Li
JXJi-Wei Xu
Ji-Wei Xu
DMDingze Mang
Dingze Mang
LZLong-Wa Zhang
Long-Wa Zhang

21 August 2021 in Pest Management Science
Verified
Journal Article
Closed access
PDF file
LLLu‐Lu Li
Lu‐Lu Li
JHJian‐Rong Huang
Jian‐Rong Huang
JXJi‐Wei Xu
Ji‐Wei Xu
WYWei‐Chen Yao
Wei‐Chen Yao
HYHui‐Hui Yang
Hui‐Hui Yang
YZYa-Nan Zhang
Ya-Nan Zhang

7 October 2015 in PLOS ONE
Verified
Journal Article
Open access
PDF file
YZYa-Nan Zhang
Ya-Nan Zhang
XZXiu-Yun Zhu
Xiu-Yun Zhu
LFLi-Ping Fang
Li-Ping Fang
PHPeng He
Peng He
ZWZhi-Qiang Wang
Zhi-Qiang Wang
JLJin-Bu Li
Jin-Bu Li
Although the general pathway of sex pheromone synthesis in moth species has been established, the molecular mechanisms remain poorly understood. The common cutworm Spodoptera litura is an important agricultural pest worldwide and causes huge economic losses annually. The female sex pheromone of S. litura comprises Z9,E11-14:OAc, Z9,E12-14:OAc, Z9-14:OAc, and E11-14:OAc. By sequencing and analyzing the transcriptomic data of the sex pheromone glands, we identified 94 candidate genes related to pheromone biosynthesis (55 genes) or chemoreception (39 genes). Gene expression patterns and phylogenetic analysis revealed that two desaturase genes (SlitDes5 and SlitDes11) and one fatty acyl reductase gene (SlitFAR3) showed pheromone gland (PG) biased or specific expression, and clustered with genes known to be involved in pheromone synthesis in other moth species. Furthermore, 4 chemoreception related genes (SlitOBP6, SlitOBP11, SlitCSP3, and SlitCSP14) also showed higher expression in the PG, and could be additional candidate genes involved in sex pheromone transport. This study provides the first solid background information that should facilitate further elucidation of sex pheromone biosynthesis and transport, and indicates potential targets to disrupt sexual communication in S. litura for a novel pest management strategy.

18 July 2017 in Insect Molecular Biology
Verified
Journal Article
Closed access
PDF file
PHPeng He
Peng He
ZLZ.‐Q. Li
Z.‐Q. Li
YZY.‐F. Zhang
Y.‐F. Zhang
LCL. Chen
L. Chen
JWJ. Wang
J. Wang
MHM. He
M. He