scholarly journals Candidate Chemosensory Genes in the Stemborer Sesamia nonagrioides

2013 ◽  
Vol 9 (5) ◽  
pp. 481-495 ◽  
Author(s):  
Nicolas Glaser ◽  
Aurore Gallot ◽  
Fabrice Legeai ◽  
Nicolas Montagné ◽  
Erwan Poivet ◽  
...  
Agronomie ◽  
1982 ◽  
Vol 2 (6) ◽  
pp. 561-566 ◽  
Author(s):  
Pierre-Francis GALICHET ◽  
Henri MAGNIN ◽  
Augustin RADISSON ◽  
Janet TAVERNIER
Keyword(s):  

Author(s):  
Lu-Lu Li ◽  
Ji-Wei Xu ◽  
Wei-Chen Yao ◽  
Hui-Hui Yang ◽  
Youssef Dewer ◽  
...  

Abstract The tobacco cutworm Spodoptera litura (Lepidoptera: Noctuidae) is a polyphagous pest with a highly selective and sensitive chemosensory system involved in complex physiological behaviors such as searching for food sources, feeding, courtship, and oviposition. However, effective management strategies for controlling the insect pest populations under threshold levels are lacking. Therefore, there is an urgent need to formulate eco-friendly pest control strategies based on the disruption of the insect chemosensory system. In this study, we identified 158 putative chemosensory genes based on transcriptomic and genomic data for S. litura, including 45 odorant-binding proteins (OBPs, nine were new), 23 chemosensory proteins (CSPs), 60 odorant receptors (ORs, three were new), and 30 gustatory receptors (GRs, three were new), a number higher than those reported by previous transcriptome studies. Subsequently, we constructed phylogenetic trees based on these genes in moths and analyzed the dynamic expression of various genes in head capsules across larval instars using quantitative real-time polymerase chain reaction. Nine genes–SlitOBP8, SlitOBP9, SlitOBP25, SlitCSP1, SlitCSP7, SlitCSP18, SlitOR34, SlitGR240, and SlitGR242–were highly expressed in the heads of 3- to 5-day-old S. litura larvae. The genes differentially expressed in olfactory organs during larval development might play crucial roles in the chemosensory system of S. litura larvae. Our findings substantially expand the gene inventory for S. litura and present potential target genes for further studies on larval feeding in S. litura.


2003 ◽  
Vol 32 (6) ◽  
pp. 1337-1342 ◽  
Author(s):  
Argyro A. Fantinou ◽  
Dionyssios Ch. Perdikis ◽  
Costas S. Chatzoglou

2015 ◽  
Vol 61 (4) ◽  
pp. 341-359 ◽  
Author(s):  
Mehdi Esfandiari ◽  
Neda Mehravar ◽  
Hossein Motamedi ◽  
Hamid Rajabi Memari ◽  
Hossein Rajaei

2004 ◽  
Vol 97 (4) ◽  
pp. 1432-1437 ◽  
Author(s):  
P. Velasco ◽  
P. Revilla ◽  
M. E. Cartea ◽  
A. Ordás ◽  
R. A. Malvar

Author(s):  
Yu Pan ◽  
Xinxin Zhang ◽  
Zhun Wang ◽  
Lizhong Qi ◽  
Xinsheng Zhang ◽  
...  

Abstract The rice water weevil, Lissorhoptrus oryzophilus Kuschel (Coleoptera: Curculionidae), is a destructive pest that causes damage to rice crops worldwide. The olfactory system is critical for host or mate location by weevils, but only limited information about the molecular mechanism of olfaction-related behaviour has been reported in this insect. In this study, we conducted SMRT-seq transcriptome analysis and obtained 54,378 transcripts, 38,706 of which were annotated. Based on these annotations, we identified 40 candidate chemosensory genes, including 31 odorant-binding proteins (OBPs), six chemosensory proteins (CSPs) and three sensory neuron membrane proteins (SNMPs). Phylogenetic analysis showed that LoryOBPs, LoryCSPs and LorySNMPs were distributed in various clades. The results of tissue expression patterns indicated that LoryOBPs were highly abundant in the antennae, whereas LoryCSPs were highly abundant not only in the antennae but also in the abdomen, head and wings. Our findings substantially expand the gene database of L. oryzophilus and may serve as a basis for identifying novel targets to disrupt key olfactory genes, potentially providing an eco-friendly strategy to control this pest in the future.


2020 ◽  
Vol 11 ◽  
Author(s):  
Zibo Li ◽  
Yaoyao Zhang ◽  
Xingkui An ◽  
Qi Wang ◽  
Adel Khashaveh ◽  
...  

Genomics ◽  
2020 ◽  
Vol 112 (6) ◽  
pp. 3846-3855
Author(s):  
Xiu-Yun Zhu ◽  
Ji-Wei Xu ◽  
Lu-Lu Li ◽  
Dong-Yun Wang ◽  
Meng-Li Zhang ◽  
...  

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