Qingyu Liu

Dr. Qingyu Liu

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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10 March 2024 in Insects
Verified
Journal Article
Open access
PDF file
LWLiuyang WANG
Liuyang WANG
CYChaoxia Yang
Chaoxia Yang
QLQingyu Liu
Qingyu Liu
XZXiaofang Zhang
Xiaofang Zhang
XMXiangdong Mei
Xiangdong Mei
JNJun Ning
Jun Ning
Quantitative real-time PCR (qRT-PCR) is a widely applied technique for accurately assessing the expression of target genes. In practice, the evaluation of gene expression requires appropriate reference genes. To screen reliable reference genes for evaluating gene expression via qRT-PCR in Mythimna loreyi, a notorious migratory pest across Asia, Africa, Europe, and Australia, we assessed the expression stability of 13 candidate reference genes in M. loreyi using the ΔCt method, BestKeeper, Normfinder, GeNorm, and the web-based comprehensive platform RefFinder. These reference genes include RPL10, RPL27, RPL32, RPS3, TATA−box, GAPDH, AK, Actin, EF, α−tubulin, SOD, 18S rRNA, and FTZ−F1, which is frequently employed in Lepidoptera insects. Our findings revealed that the performance of the candidate reference gene depended on experimental conditions. Specifically, RPL27 and RPL10 were the most suitable for evaluating expression changes across developmental stages, tissues, and adult ages. The optimal reference genes were recommended in specific experiment conditions, for instance, EF and RPS3 were recommended for mating status, AK and RPL10 were recommended for temperature treatments, RPL27 and FTZ−F1 were recommended for larva diet, and EF and RPL27 were recommended for adult diet treatments. Additionally, expression profiles of pheromone-binding protein 2 (MlorPBP2) and glutathione S-transferase (MlorGST1) were used to validate the reference genes. This study provides reference genes for the accurate normalization of qRT-PCR data, laying the groundwork for studying the expression of target genes in M. loreyi.

18 December 2023 in Insects
Verified
Journal Article
Open access
PDF file
LWLiuyang WANG
Liuyang WANG
QLQingyu Liu
Qingyu Liu
PGPei Guo
Pei Guo
ZGZhanlin Gao
Zhanlin Gao
DCDan Chen
Dan Chen
JNJun Ning
Jun Ning
Quantitative real-time PCR (qRT-PCR) is widely accepted as a precise and convenient method for quantitatively analyzing the expression of functional genes. The data normalization strongly depends upon stable reference genes. The bean bug, Riptortus pedestris (Hemiptera: Alydidae), is a significant pest of leguminous crops and broadly distributed across Southeast Asia. In this study, a total of 16 candidate reference genes (RPL32, RPS23, SDHA, UBQ, UCCR, GST, TATA−box, HSP70, GAPDH, RPL7A, SOD, RPS3, Actin, α−tubulin, AK, and EF1) were carefully chosen in R. pedestris, and their expression levels were assessed across various conditions, including different developmental stages, diverse tissues, temperature treatments, adult age, molting time, and mating status. Following this, the stability of these reference genes was evaluated using four algorithms (ΔCt, GeNorm, NormFinder, and BestKeeper). Ultimately, the comprehensive rankings were determined using the online tool RefFinder. Our results demonstrate that the reference gene for qRT-PCR analysis in R. pedestris is contingent upon the specific experimental conditions. RPL7A and EF1 are optimal reference genes for developmental stages. Furthermore, α−tubulin and EF1 exhibit the most stable expression across various adult tissues. RPL32 and RPL7A exhibit the most stable expression for adult age. For nymph age, RPL32 and SOD display the most stable expression. For temperature conditions, RPS23 and RPL7A were identified as the most suitable for monitoring gene expression. Lastly, we verified the practicability of evaluating expression levels of odorant-binding protein 37 (RpedOBP37) and cytochrome P450 6a2 (RpedCYP6) throughout developmental stages, tissues, and temperature conditions. These findings are a significant addition to the qRT-PCR analysis studies on R. pedestris, serving as a fundamental groundwork for future investigations on stable reference genes in R. pedestris as well as other organisms.

25 June 2025 in Agronomy
Verified
Journal Article
Open access
PDF file
QLQingyu Liu
Qingyu Liu
LWLiuyang WANG
Liuyang WANG
PLPanjing Liu
Panjing Liu
LLLingrui Li
Lingrui Li
JNJun Ning
Jun Ning
TZTao Zhang
Tao Zhang
The tomato leaf miner, Tuta absoluta (Lepidoptera: Gelechiidae), is a destructive pest of Solanaceae crops worldwide. Its olfactory system plays an important role in locating mating partners and recognizing host plants. Understanding its olfactory recognition mechanism, particularly the function of odorant-binding proteins (OBPs), may reveal potential targets for pest management. In this study, we characterized two antenna-specific OBPs, TabsOBP45 and TabsOBP46, which were identified from the T. absoluta genome. Sequence analysis revealed that both TabsOBPs belong to the classic OBP subfamily, which is characterized by the presence of six conserved cysteine residues and an N-terminal signal peptide. Both TabsOBPs showed predominant antennal expression in quantitative real-time PCR (qRT-PCR) assays, suggesting their key roles in olfactory perception. Fluorescence competitive binding assays with a total of 63 tested volatiles revealed that 13 compounds exhibited strong binding affinities (Ki < 22 µM) to TabsOBP45, with the highest binding affinity to β-ionone, β-caryophyllene, terpinolene, and cinnamaldehyde. Nine compounds showed strong binding affinities to TabsOBP46, with the strongest binding to 4-anisaldehyde, 4-methoxybenzaldehyde, cinnamaldehyde, and β-ionone. Molecular docking analysis revealed the key residues involved in β-ionone binding: TabsOBP45 interacted with ILE8, ALA9, PHE12, TRP37, ILE92, PHE94, THR115, and PHE118, while TabsOBP46 interacted with ILE8, PHE12, PHE36, TRP37, ILE92, LEU94, PHE118, and VAL134. These results provide new insights into the olfactory mechanism of T. absoluta and potential molecular targets for the development of olfactory-based pest control strategies.