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Pei YW, Wu ZR, Zhang HN, Lu M, Liu XL. Transcriptome analysis and expression profiles of odorant binding proteins and chemosensory proteins in Orius sauteri. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2023; 48:101137. [PMID: 37688975 DOI: 10.1016/j.cbd.2023.101137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/11/2023]
Abstract
The flower bug Orius sauteri (Heteroptera: Anthocoridae), is a polyphagous predator and a natural enemy widely used in biological pest control to micro-pests including aphids, spider mites, thrips and so on. In the present study, the transcriptome analysis of adult heads in O. sauteri were performed and identified a total of 38 chemosensory genes including 24 odorant binding proteins (OBPs) and 14 chemosensory proteins (CSPs). Subsequently, we conducted quantitative real-time PCR to detect the tissue expression level of 18 OBPs and 8 CSPs. The results showed that almost all OsauOBPs and OsauCSPs have a high expression level in the adult heads of both sexes. In addition, 5 OsauOBPs (OBP1, OBP2, OBP3, OBP4 and OBP14) have a significantly higher expressed in male heads than female, indicating that these chemosensory proteins might be involved in the male-specific behaviors such as pheromone reception and mate-seeking. This study will provide helpful reference for subsequent understanding of chemoreception mechanism in O. sauteri.
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Affiliation(s)
- Yi-Wen Pei
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Zhe-Ran Wu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Hai-Nan Zhang
- College of Plant Protection, Yangzhou University, Yangzhou 225009, China
| | - Min Lu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China.
| | - Xiao-Long Liu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China.
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Dong C, Huang C, Ning X, Liu B, Qiao X, Qian W, Zhu D, Wan F. Transcriptome analysis used to identify and characterize odorant binding proteins in Agasicles hygrophila (Coleoptera: Chryspmelidae). JOURNAL OF INSECT SCIENCE (ONLINE) 2023; 23:16. [PMID: 37804502 PMCID: PMC10560004 DOI: 10.1093/jisesa/iead081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 08/14/2023] [Accepted: 09/14/2023] [Indexed: 10/09/2023]
Abstract
The transcriptomes of Agasicles hygrophila eggs and first instar larvae were analyzed to explore the olfactory mechanism of larval behavior. The analysis resulted in 135,359 unigenes and the identification of 38 odorant-binding proteins (OBPs), including 23 Minus-C OBPs, 8 Plus-C OBPs, and 7 Classic OBPs. Further analysis of differentially expressed genes (DEGs) revealed 10 DEG OBPs, with 5 (AhygOBP5, AhygOBP9, AhygOBP12, AhygOBP15 and AhygOBP36) up-regulated in first instar larvae. Verification of expression patterns of these 5 AhygOBPs using qPCR showed that AhygOBP9 and AhygOBP36 were mainly expressed in the adult stage with gradually increasing expression in the larval stage. AhygOBP5, AhygOBP12, and AhygOBP15 were not expressed in eggs and pupae, and their expression in larvae and adults showed no clear pattern. These 5 AhygOBPs may play an olfactory role in larval behavior, providing a basis for further investigation of their specific functions and clarifying the olfactory mechanism of A. hygrophila.
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Affiliation(s)
- Changhong Dong
- Laboratory of Insect Behavior and Evolutionary Ecology, College of Life Science and Technology, Central South University of Forestry and Technology (CSUFT), Changsha, China
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Cong Huang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaoyu Ning
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- College of Plant Protection/Key Laboratory of Green Prevention and Control of Tropical Plant Diseases and Pests, Ministry of Education, Hainan University, Haikou, China
| | - Bo Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Xi Qiao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Wanqiang Qian
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Daohong Zhu
- Laboratory of Insect Behavior and Evolutionary Ecology, College of Life Science and Technology, Central South University of Forestry and Technology (CSUFT), Changsha, China
| | - Fanghao Wan
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
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Wu ZR, Fan JT, Tong N, Guo JM, Li Y, Lu M, Liu XL. Transcriptome analysis and identification of chemosensory genes in the larvae of Plagiodera versicolora. BMC Genomics 2022; 23:845. [PMID: 36544089 PMCID: PMC9773597 DOI: 10.1186/s12864-022-09079-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND In insects, the chemosensory system is crucial in guiding their behaviors for survival. Plagiodera versicolora (Coleoptera: Chrysomelidae), is a worldwide leaf-eating forest pest in salicaceous trees. There is little known about the chemosensory genes in P. versicolora. Here, we conducted a transcriptome analysis of larvae heads in P. versicolora. RESULTS In this study, 29 odorant binding proteins (OBPs), 6 chemosensory proteins (CSPs), 14 odorant receptors (ORs), 13 gustatory receptors (GRs), 8 ionotropic receptors (IRs) and 4 sensory neuron membrane proteins (SNMPs) were identified by transcriptome analysis. Compared to the previous antennae and foreleg transcriptome data in adults, 12 OBPs, 2 CSPs, 5 ORs, 4 IRs, and 7 GRs were newly identified in the larvae. Phylogenetic analyses were conducted and found a new candidate CO2 receptor (PverGR18) and a new sugar receptor (PverGR23) in the tree of GRs. Subsequently, the dynamic expression profiles of various genes were analyzed by quantitative real-time PCR. The results showed that PverOBP31, OBP34, OBP35, OBP38, and OBP40 were highly expressed in larvae, PverOBP33 and OBP37 were highly expressed in pupae, and PverCSP13 was highly expressed in eggs, respectively. CONCLUSIONS We identified a total of 74 putative chemosensory genes based on a transcriptome analysis of larvae heads in P. versicolora. This work provides new information for functional studies on the chemoreception mechanism in P. versicolora.
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Affiliation(s)
- Zhe-Ran Wu
- grid.34418.3a0000 0001 0727 9022State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062 China
| | - Jian-Ting Fan
- grid.443483.c0000 0000 9152 7385School of Forestry and Biotechnology, Zhejiang A & F University, National Joint Local Engineering Laboratory for High-Efficient Preparation of Biopesticide, Lin’an, 311300 China
| | - Na Tong
- grid.34418.3a0000 0001 0727 9022State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062 China
| | - Jin-Meng Guo
- grid.27871.3b0000 0000 9750 7019Key Laboratory of Integrated Management of Crop Disease and Pests, Ministry of Education/ Department of Entomology, Nanjing Agricultural University, Nanjing, 210095 China
| | - Yang Li
- grid.34418.3a0000 0001 0727 9022State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062 China
| | - Min Lu
- grid.34418.3a0000 0001 0727 9022State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062 China
| | - Xiao-Long Liu
- grid.34418.3a0000 0001 0727 9022State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062 China
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Shi W, Ye H, Roderick G, Cao J, Kerdelhué C, Han P. Role of Genes in Regulating Host Plants Expansion in Tephritid Fruit Flies (Diptera) and Potential for RNAi-Based Control. JOURNAL OF INSECT SCIENCE (ONLINE) 2022; 22:10. [PMID: 35983691 PMCID: PMC9389179 DOI: 10.1093/jisesa/ieac047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Indexed: 06/15/2023]
Abstract
Host plant expansion is an important survival strategy for tephritids as they expand their range. Successful host expansion requires tephritids to adapt to the chemical and nonchemical properties of a novel host fruit, such as fruit color, phenology, and phytochemicals. These plant properties trigger a series of processes in tephritids, with each process having its own genetic basis, which means that various genes are involved in regulating host plant expansion by tephritids. This review summarizes current knowledge on the categories and roles of genes involved in host plant expansion in several important tephritid species, including genes related to chemoreception (olfactory and gustation), vision, digestion, detoxification, development, ribosomal and energy metabolism. Chemoreception- and detoxification- and digestion-related genes are stimulated by volatile chemicals and secondary chemicals of different hosts, respectively, which are involved in the regulation of nervous signal transduction that triggers behavioral, physical, and chemical responses to the novel host fruit. Vision-, nerve-, and development-related genes and metabolism-associated genes are activated in response to nonchemical stimuli from different hosts, such as color and phenology, to regulate a comprehensive adaptation of the extending host for tephritids. The chemical and nonchemical signals of hosts activate ribosomal and energy-related genes that result in the basic regulation of many processes of host expansion, including detoxification and development. These genes do not regulate novel host use individually, but multiple genes regulate multilevel adaptation to novel host fruits via multiple mechanisms. These genes may also be potential target genes for RNAi-based control of tephritid pests.
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Affiliation(s)
- Wei Shi
- School of Ecology and Environment Science, Yunnan University, Kunming, China
| | - Hui Ye
- School of Ecology and Environment Science, Yunnan University, Kunming, China
| | - George Roderick
- Department of Environmental Science Policy and Management, University of California, Berkeley, CA 94720, USA
| | - Jun Cao
- School of Ecology and Environment Science, Yunnan University, Kunming, China
| | - Carole Kerdelhué
- INRAE, CBGP (INRAE, CIRAD, RD, Montpellier Supagro, University Montpellier), Montpellier, France
| | - Peng Han
- School of Ecology and Environment Science, Yunnan University, Kunming, China
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Fu S, Duan Y, Wang S, Ren Y, Bu W. Comparative Transcriptomic Analysis of Riptortus pedestris (Hemiptera: Alydidae) to Characterize Wing Formation across All Developmental Stages. INSECTS 2021; 12:insects12030226. [PMID: 33807991 PMCID: PMC7999114 DOI: 10.3390/insects12030226] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 02/28/2021] [Accepted: 03/01/2021] [Indexed: 12/13/2022]
Abstract
Simple Summary Riptortus pedestris is a widely distributed pest insect in East Asia that causes considerable economic losses. In this study, we applied the Illumina HiSeq6000 platform to construct and sequence the transcriptome libraries of R. pedestris during all life stages. First, a total of 60,058 unigenes were assembled from raw data, and then annotated and classified with various databases. Furthermore, different numbers of differentially expressed genes were calculated by pairwise comparisons of all life stages, and some of these DEGs were associated with various functions by GO and KEGG analysis. Additionally, a total number of 35,158 SSRs and 715,604 SNPs were identified from all the transcriptome libraries. Finally, we analyzed ten wing formation-related signaling pathways, and detected the molecular and expression characterization of five wing development-related genes by qRT-PCR for all developmental stages of R. pedestris. Collectively, all these data may pave the avenue for exploring the developmental processes of hemimetabolous insects and pest management. Abstract Riptortus pedestris (Hemiptera: Alydidae) is a major agricultural pest in East Asia that causes considerable economic losses to the soybean crop each year. However, the molecular mechanisms governing the growth and development of R. pedestris have not been fully elucidated. In this study, the Illumina HiSeq6000 platform was employed to perform de novo transcriptome assembly and determine the gene expression profiles of this species across all developmental stages, including eggs, first-, second-, third-, fourth-, and fifth-instar nymphs, and adults. In this study, a total of 60,058 unigenes were assembled from numerous raw reads, exhibiting an N50 length of 2126 bp and an average length of 1199 bp, and the unigenes were annotated and classified with various databases, such as the Kyoto Encyclopedia of Genes and Genomes (KEGG), Clusters of Orthologous Groups (COG), and Gene Ontology (GO). Furthermore, various numbers of differentially expressed genes (DEGs) were calculated through pairwise comparisons of all life stages, and some of these DEGs were associated with immunity, metabolism, and development by GO and KEGG enrichment. In addition, 35,158 simple sequence repeats (SSRs) and 715,604 potential single nucleotide polymorphisms (SNPs) were identified from the seven transcriptome libraries of R. pedestris. Finally, we identified and summarized ten wing formation-related signaling pathways, and the molecular properties and expression levels of five wing development-related genes were analyzed using quantitative real-time PCR for all developmental stages of R. pedestris. Taken together, the results of this study may establish a foundation for future research investigating developmental processes and wing formation in hemimetabolous insects and may provide valuable data for pest control efforts attempting to reduce the economic damage caused by this pest.
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