Jie Luo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jie Luo has a total of 49 co-authors. Here are the top co-authors by number of shared publications:
Honghong Li
Guangxi Vocational University of Agriculture
4 shared publicationsXuesheng Li
Guangxi Key Laboratory of Agric-Environment and Agric-Products Safety, College of Agriculture
3 shared publications- Guoqiang Yi
Guangdong Tobacco Meizhou Co., Ltd
2 shared publications Taiyi Yang
College of Agriculture, Guangxi University, Nanning, Guangxi 530004, China; Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi 530007, China
2 shared publicationsFaqian Xiong
Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi 530007, China
1 shared publication- Feng Zhao
Guangxi University
1 shared publication
Latest Publications
- 18 February 2026
- Published by Elsevier in Environmental Pollution
- Vol. 396, 127849
Enantioselective metabolic mechanism and metabolism pathway of tetraconazole in human liver microsomes: In vitro and in silico study
- 18 February 2026
- Published by Elsevier in Environmental Pollution
- Vol. 396, 127849
Enantioselective metabolic mechanism and metabolism pathway of tetraconazole in human liver microsomes: In vitro and in silico study
- 21 October 2025
- Published by American Chemical Society (ACS) in Journal of Agricultural and Food Chemistry
- Vol. 73 (43) , 27288-27304
A Stereoselective CYP15A1 Epoxidase Mediates ( 10S )-JH III Synthesis in a Parasitic Wasp Scleroderma guani
Juvenile hormone III (JH III) plays a central role in insect development and reproduction and has long been assumed to occur exclusively as the R-enantiomer. Here, we demonstrate that Sclerodermus guani exclusively synthesizes the S-enantiomer of JH III (S-JH III), as confirmed by electron circular dichroism (ECD) analysis and TD-DFT simulations. S-JH III is consistently present across developmental stages, peaking during the egg stage, and is also predominant in related species, suggesting taxon-specific stereoselectivity. In vitro and in vivo assays identified methyl farnesoate (MF) as the preferred precursor, with a strong bias toward S-JH III production. Enzymatic kinetics of purified SgCYP15A1 revealed significantly higher affinity and catalytic efficiency for S-JH III. Transcriptome analysis showed that S-JH III, but not R-JH III, upregulated genes involved in ovarian development and reproductive regulation. These findings uncover a highly stereoselective JH III biosynthetic pathway in S. guani and highlight its potential relevance to hymenopteran evolution and reproductive control. This finding not only expands current understanding of JH biosynthesis but also presents opportunities for developing stereoselective hormone analogs to enhance the behavioral efficacy of parasitoids in biological pest management.
- 21 October 2025
- Published by American Chemical Society (ACS) in Journal of Agricultural and Food Chemistry
- Vol. 73 (43) , 27288-27304
A Stereoselective CYP15A1 Epoxidase Mediates ( 10S )-JH III Synthesis in a Parasitic Wasp Scleroderma guani
Juvenile hormone III (JH III) plays a central role in insect development and reproduction and has long been assumed to occur exclusively as the R-enantiomer. Here, we demonstrate that Sclerodermus guani exclusively synthesizes the S-enantiomer of JH III (S-JH III), as confirmed by electron circular dichroism (ECD) analysis and TD-DFT simulations. S-JH III is consistently present across developmental stages, peaking during the egg stage, and is also predominant in related species, suggesting taxon-specific stereoselectivity. In vitro and in vivo assays identified methyl farnesoate (MF) as the preferred precursor, with a strong bias toward S-JH III production. Enzymatic kinetics of purified SgCYP15A1 revealed significantly higher affinity and catalytic efficiency for S-JH III. Transcriptome analysis showed that S-JH III, but not R-JH III, upregulated genes involved in ovarian development and reproductive regulation. These findings uncover a highly stereoselective JH III biosynthetic pathway in S. guani and highlight its potential relevance to hymenopteran evolution and reproductive control. This finding not only expands current understanding of JH biosynthesis but also presents opportunities for developing stereoselective hormone analogs to enhance the behavioral efficacy of parasitoids in biological pest management.
- 16 May 2023
- Published by American Chemical Society (ACS) in Journal of Agricultural and Food Chemistry
- Vol. 71 (20) , 7878-7890
Simultaneous Detection and Distribution of Five Juvenile Hormones in 58 Insect Species and the Absolute Configuration in 32 Insect Species
Juvenile hormone (JH) plays an important role in regulating various insect physiological processes. Herein, a novel method (chiral and achiral) for the simultaneous detection of five JHs was established by processing a whole insect without complicated hemolymph extraction. The proposed method was used to determine the distribution of JHs in 58 insect species and the absolute configuration of JHs in 32 species. The results showed that JHSB3 was uniquely synthesized in Hemiptera, JHB3 was unique to Diptera, and JH I and JH II were unique to Lepidoptera. JH III was present in most insect species surveyed, with social insects having generally higher JH III titers. Interestingly, JHSB3 and JHB3, both double epoxidation JHs, were found in insects with sucking mouthparts. The absolute conformation of JH III and the 10C of the detected JHs were all R stereoisomers.
- 16 May 2023
- Published by American Chemical Society (ACS) in Journal of Agricultural and Food Chemistry
- Vol. 71 (20) , 7878-7890
Simultaneous Detection and Distribution of Five Juvenile Hormones in 58 Insect Species and the Absolute Configuration in 32 Insect Species
Juvenile hormone (JH) plays an important role in regulating various insect physiological processes. Herein, a novel method (chiral and achiral) for the simultaneous detection of five JHs was established by processing a whole insect without complicated hemolymph extraction. The proposed method was used to determine the distribution of JHs in 58 insect species and the absolute configuration of JHs in 32 species. The results showed that JHSB3 was uniquely synthesized in Hemiptera, JHB3 was unique to Diptera, and JH I and JH II were unique to Lepidoptera. JH III was present in most insect species surveyed, with social insects having generally higher JH III titers. Interestingly, JHSB3 and JHB3, both double epoxidation JHs, were found in insects with sucking mouthparts. The absolute conformation of JH III and the 10C of the detected JHs were all R stereoisomers.
- 11 May 2022
- Published by American Chemical Society (ACS) in Journal of Agricultural and Food Chemistry
- Vol. 70 (20) , 6097-6107
Juvenile Hormone III R Stereoisomer Is Specifically Synthesized by Honeybees (Apis mellifera ligustica) and Shows a Higher Biological Activity in Regulating Their Social Behavior
The juvenile hormone (JH) plays a key role in the development of honeybee larvae and the alteration of adult behavior. Verification methods of types and stereoisomers of JHs in honeybees were established in this study. The regulatory modes of different stereoisomers of JH III on the social behaviors of honeybees were revealed by the disparity of interaction and RNA-seq. This result represented the first assessment of the effects of R-JH III and S-JH III in honeybee interactions; the former (367 times in total) was significantly higher than the latter (235 times in total); honeybees with high JH titers are always welcome in the colony because the effect of JH III on bees involves the sensing and signaling of hormones, and R-JH III is much more active than S-JH III in this regulation. Efficient R-JH III may be the insurance for bees to establish their social system advantages.
- 11 May 2022
- Published by American Chemical Society (ACS) in Journal of Agricultural and Food Chemistry
- Vol. 70 (20) , 6097-6107
Juvenile Hormone III R Stereoisomer Is Specifically Synthesized by Honeybees (Apis mellifera ligustica) and Shows a Higher Biological Activity in Regulating Their Social Behavior
The juvenile hormone (JH) plays a key role in the development of honeybee larvae and the alteration of adult behavior. Verification methods of types and stereoisomers of JHs in honeybees were established in this study. The regulatory modes of different stereoisomers of JH III on the social behaviors of honeybees were revealed by the disparity of interaction and RNA-seq. This result represented the first assessment of the effects of R-JH III and S-JH III in honeybee interactions; the former (367 times in total) was significantly higher than the latter (235 times in total); honeybees with high JH titers are always welcome in the colony because the effect of JH III on bees involves the sensing and signaling of hormones, and R-JH III is much more active than S-JH III in this regulation. Efficient R-JH III may be the insurance for bees to establish their social system advantages.
- Open Access
The Comparison of Juvenile Hormone and Transcriptional Changes between Three Different Juvenile Hormone Analogs Insecticides on Honey Bee Worker Larval’s Development
Juvenile hormones (JHs) play a crucial role in the development of honey bee (Apis mellifera) worker larvae. Juvenile hormone analogs (JHAs), insecticides widely used in pest control, have been reported to affect the health and survival of honey bee worker larvae. However, the molecular mechanisms of JHAs in the honey bee remain unclear. In this study, we treated honey bee worker larvae with pyriproxyfen, fenoxycarb, and methoprene, three different JHAs. We monitored the changes in the transcription of genes encoding major JH response enzymes (CYP15A1, CYP6AS5, JHAMT, and CHT1) using RT-qPCR and analyzed the transcriptome changes in worker larvae under JHA stress using RNA-seq. We found that the enrichment pathways differed among the treatment groups, but the classification of each pathway was generally the same, and fenoxycarb affected more genes and more pathways than did the other two JHAs. Notably, treatment with different JHAs in the honey bee changed the JH titers in the insect to various extents. These results represent the first assessment of the effects of three different JHAs on honey bee larvae and provide a new perspective and molecular basis for the research of JH regulation and JHA toxicity in the honey bee.
Open AccessThe Comparison of Juvenile Hormone and Transcriptional Changes between Three Different Juvenile Hormone Analogs Insecticides on Honey Bee Worker Larval’s Development
Juvenile hormones (JHs) play a crucial role in the development of honey bee (Apis mellifera) worker larvae. Juvenile hormone analogs (JHAs), insecticides widely used in pest control, have been reported to affect the health and survival of honey bee worker larvae. However, the molecular mechanisms of JHAs in the honey bee remain unclear. In this study, we treated honey bee worker larvae with pyriproxyfen, fenoxycarb, and methoprene, three different JHAs. We monitored the changes in the transcription of genes encoding major JH response enzymes (CYP15A1, CYP6AS5, JHAMT, and CHT1) using RT-qPCR and analyzed the transcriptome changes in worker larvae under JHA stress using RNA-seq. We found that the enrichment pathways differed among the treatment groups, but the classification of each pathway was generally the same, and fenoxycarb affected more genes and more pathways than did the other two JHAs. Notably, treatment with different JHAs in the honey bee changed the JH titers in the insect to various extents. These results represent the first assessment of the effects of three different JHAs on honey bee larvae and provide a new perspective and molecular basis for the research of JH regulation and JHA toxicity in the honey bee.
- 1 July 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 6-9
Graph-based Automatic Modulation Classifier for M-ary Generalized QAM Signals
This paper presents a novel automatic modulation classification (AMC) method using graph-based constellation analysis, to classify $M$ -ary Generalized Quadrature Amplitude Modulation (GQAM) signals which employ uniform or nonuniform constellations for the first time. In our framework, a unified grid model is first built from the GQAM signal with the maximum constellation size in the modulation candidate set, and exploited to transform the received signal into graph domain. The graph representation of the received signal is established by mapping its recovered symbol points on the I/Q plane into the unified grid model, and then the eigenvalue(s) and eigenvector(s) of its corresponding adjacency matrix are computed. The modulation feature vector is constructed according to the eigenvector(s) corresponding to the maximum eigenvalue(s). The modulation type is eventually identified by searching the minimum angle between training features and test feature. Monte Carlo simulation results demonstrate that the proposed method can effectively classify the GQAM even in low signal-to-noise ratio.- 1 July 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 6-9
Graph-based Automatic Modulation Classifier for M-ary Generalized QAM Signals
This paper presents a novel automatic modulation classification (AMC) method using graph-based constellation analysis, to classify $M$ -ary Generalized Quadrature Amplitude Modulation (GQAM) signals which employ uniform or nonuniform constellations for the first time. In our framework, a unified grid model is first built from the GQAM signal with the maximum constellation size in the modulation candidate set, and exploited to transform the received signal into graph domain. The graph representation of the received signal is established by mapping its recovered symbol points on the I/Q plane into the unified grid model, and then the eigenvalue(s) and eigenvector(s) of its corresponding adjacency matrix are computed. The modulation feature vector is constructed according to the eigenvector(s) corresponding to the maximum eigenvalue(s). The modulation type is eventually identified by searching the minimum angle between training features and test feature. Monte Carlo simulation results demonstrate that the proposed method can effectively classify the GQAM even in low signal-to-noise ratio.