Ying Wang

Ms. Ying Wang

Henan Institute of Science and Technology, Xinxiang, China
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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6 December 2023 in BMC Plant Biology
Verified
Journal Article
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XLXiaolong Liu
Xiaolong Liu
XZXin Zhong
Xin Zhong
JLJingpeng Liao
Jingpeng Liao
PJPing Ji
Ping Ji
JYJinshuo Yang
Jinshuo Yang
KJKai Jiang
Kai Jiang
Background: Heat stress is a major restrictive factor that causes yield loss in rice. We previously reported the priming effect of abscisic acid (ABA) on rice for enhanced thermotolerance at the germination, seedling and heading stages. In the present study, we aimed to understand the priming effect and mechanism of ABA on grain filling capacity in rice under heat stress. Results: Rice plants were pretreated with distilled water, 50 μM ABA and 10 μM fluridone by leaf spraying at 8 d or 15 d after initial heading (AIH) stage and then were subjected to heat stress conditions of 38 °C day/30 °C night for 7 days, respectively. Exogenous ABA pretreatment significantly super-activated the ABA signaling pathway and improved the SOD, POD, CAT and APX enzyme activity levels, as well as upregulated the ROS-scavenging genes; and decreased the heat stress-induced ROS content (O2– and H2O2) by 15.0–25.5% in rice grain under heat stress. ABA pretreatment also increased starch synthetase activities in rice grain under heat stress. Furthermore, ABA pretreatment significantly improved yield component indices and grain yield by 14.4–16.5% under heat stress. ABA pretreatment improved the milling quality and the quality of appearance and decreased the incidence of chalky kernels and chalkiness in rice grain and improved the rice grain cooking quality by improving starch content and gel consistence and decreasing the amylose percentage under heat stress. The application of paraquat caused overaccumulation of ROS, decreased starch synthetase activities and ultimately decreased starch content and grain yield. Exogenous antioxidants decreased ROS overaccumulation and increased starch content and grain yield under heat stress. Conclusion: Taken together, these results suggest that exogenous ABA has a potential priming effect for enhancing rice grain filling capacity under heat stress at grain filling stage mainly by inhibiting ROS overaccumulation and improving starch synthetase activities in rice grain.

Verified
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YWYing Wang
Ying Wang
JCJinjun Cao
Jinjun Cao
WLWeihai Li
Weihai Li
Stoneflies comprise an ancient group of insects, but the phylogenetic position of Plecoptera and phylogenetic relations within Plecoptera have long been controversial, and more molecular data is required to reconstruct precise phylogeny. Herein, we present the complete mitogenome of a stonefly, Suwallia teleckojensis, which is 16146 bp in length and consists of 13 protein-coding genes (PCGs), 2 ribosomal RNAs (rRNAs), 22 transfer RNAs (tRNAs) and a control region (CR). Most PCGs initiate with the standard start codon ATN. However, ND5 and ND1 started with GTG and TTG. Typical termination codons TAA and TAG were found in eleven PCGs, and the remaining two PCGs (COII and ND5) have incomplete termination codons. All transfer RNA genes (tRNAs) have the classic cloverleaf secondary structures, with the exception of tRNASer(AGN), which lacks the dihydrouridine (DHU) arm. Secondary structures of the two ribosomal RNAs were shown referring to previous models. A large tandem repeat region, two potential stem-loop (SL) structures, Poly N structure (2 poly-A, 1 poly-T and 1 poly-C), and four conserved sequence blocks (CSBs) were detected in the control region. Finally, both maximum likelihood (ML) and Bayesian inference (BI) analyses suggested that the Capniidae was monophyletic, and the other five stonefly families form a monophyletic group. In this study, S. teleckojensis was closely related to Sweltsa longistyla, and Chloroperlidae and Perlidae were herein supported to be a sister group.


1 October 2019 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
JCJin-Jun Cao
Jin-Jun Cao
YWYing Wang
Ying Wang
WLWei-Hai Li
Wei-Hai Li

1 January 2021 in Journal of Insect Science
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JCJinjun Cao
Jinjun Cao
YWYing Wang
Ying Wang
XGXuan Guo
Xuan Guo
GWGuoquan Wang
Guoquan Wang
WLWeihai Li
Weihai Li
DMDávid Murányi
Dávid Murányi
The family-level relationships within Plecoptera have been a focused area of research for a long time. Its higher classification remains unstable, and the phylogenetic relationships within Plecoptera should be re-examined. Here, we sequenced and analyzed two complete mitochondrial genomes (mitogenomes) of Paraleuctra cercia and Perlomyia isobeae of the family Leuctridae. We reconstructed the phylogeny of Plecoptera based on 13 protein-coding genes (PCGs) from published stoneflies. Our results showed that the Bayesian inference and maximum-likelihood tree had similar topological structures except for the positions of two families, Peltoperlidae and Scopuridae. The Plecoptera is divided into two clades, the suborder Antarctoperlaria and the suborder Arctoperlaria. The two suborders subsequently formed two groups, Eusthenioidea and Gripopterygoidea, and Euholognatha and Systellognatha, which is consistent with the results of morphological studies. In addition, the Leuctridae is the earliest branch within the superfamily Nemouroidea. But the monophyly of Perloidea and Pteronarcyoidea are still not well supported.

1 February 2024 in BMC Ecology and Evolution
Verified
Journal Article
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JCJin-Jun Cao
Jin-Jun Cao
YWYing Wang
Ying Wang
DMDávid Murányi
Dávid Murányi
JCJian-Xin Cui
Jian-Xin Cui
WLWeihai Li
Weihai Li
Background: Euholognatha is a monophyletic group within stoneflies comprised by a superfamily Nemouroidea and a family Scopuridae. Based on morphological data, the family-level phylogenetic relationships within Euholognatha are widely accepted, but there is still controversy among different molecular studies. To better understand the phylogeny of all six extant euholognathan families, we sequenced and analyzed seven euholognathan mitogenomes. Results: The sequence heterogeneity analysis observed a low degree of compositional heterogeneity in euholognathan mitogenomes. Meanwhile, leuctrid mitogenomes were more heterogeneous than other euholognathan families, which may affect the phylogenetic reconstruction. Phylogenetic analyses with various datasets generated three topologies. The Leuctridae was recovered as the earliest branching lineage, and the sister relationship of Capniidae and Taeniopterygidae was supported by most tree topologies and FcLM analyses. When separately excluding sparsely sampled Scopuridae or high heterogeneity leuctrid taxa, phylogenetic analyses under the same methods generated more stable and consistent tree topologies. Finally, based on the results of this study, we reconstructed the relationships within Euholognatha as: Leuctridae + (Scopuridae + ((Taeniopterygidae + Capniidae) + (Nemouridae + Notonemouridae))). Conclusion: Our research shows the potential of data optimizing strategies in reconstructing phylogeny within Euholognatha and provides new insight into the phylogeny of this group.