scholarly journals What You Eat Matters: Nutrient Inputs Alter the Metabolism and Neuropeptide Expression in Egyptian Cotton Leaf Worm, Spodoptera littoralis (Lepidoptera: Noctuidae)

2021 ◽  
Vol 12 ◽  
Author(s):  
Cansu Doğan ◽  
Gözde Güney ◽  
Kardelen K. Güzel ◽  
Alp Can ◽  
Dwayne D. Hegedus ◽  
...  
Keyword(s):  
Lipid Droplet ◽  
Spodoptera Littoralis ◽  
Cotton Leaf ◽  
Nutrient Inputs ◽  
High Fat ◽  
Adipokinetic Hormone ◽  
Developmental Duration ◽  
Genes Encoding ◽  
Egyptian Cotton ◽  
Lepidoptera Noctuidae

Graphical AbstractThe parameters examined in Spodoptera littoralis larvae in response to four different diets, high-fat, high-sugar, calcium-rich and plant-based are shown starting with the developmental duration, weight, triglyceride and trehalose levels, lipid droplet structure, and finally with expression of four neuropeptide genes encoding adipokinetic hormone (AKH), insulin-like peptide 1 (ILP1), insulin-like peptide 2 (ILP2) and short neuropeptide F (sNPF).

scholarly journals SEQUENCE ANALYSIS OF INSECTICIDE RESISTANCE AND DETOXIFICATION RELATED GENES IN Spodoptera littoralis(LEPIDOPTERA: NOCTUIDAE)

AGROFOR ◽  
2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Nurper GUZ ◽  
Aslı DAĞERİ
Keyword(s):  
Insecticide Resistance ◽  
Spodoptera Littoralis ◽  
Feeding Strategy ◽  
Management Strategies ◽  
Resistance Management ◽  
Gene Families ◽  
Cotton Leaf ◽  
Target Sites ◽  
Genes Encoding ◽  
Egyptian Cotton

The Egyptian cotton leaf worm, Spodoptera littoralis (Boisd. ) is a well-known asone of the most destructive agricultural lepidopterous pests. It is a true generalistspecies with a promiscuous feeding strategy which enables it to attack numerouseconomically important crops all year round including vegetables, ornamentalplants, and cotton. Recently, chemical control has been commonly used to suppresspopulations of S. littoralis; however, a very large number of insecticides have ledtothe emergence ofresistance. An extensive use of insecticides also has other sideeffects, including the elimination of non-targeted organisms, environmentaldamage and harm to human health. Genome-wide high-throughput technologieshelp developing resistance management strategies, especially identifying geneticmechanisms of resistance. The aim of the present study was to produce a de novotranscriptome for S. littoralis as a resource for current and future studies of thispest species by using next-generation sequencing. This resource was then used as areference for identifying genes by encoding the target sites of insecticides currentlyin use for Egyptian cotton leaf worm control. To achieve this, a cDNA library wassequenced using 454 FLX Titanium Sequencing on the Roche platform whichrevealed good coverage of genes encoding insecticide target sites anddetoxification enzymes using a manual annotation. Annotations of assembledsequences were carried out by BLASTx against NCBI non-redundant proteinsequence databases using the software Blast2GO. The genesencodingenzymesinvolvedin insecticide detoxification such as Acetylcholinesterase,Cytochrome p450, Glutathione S-transferase were characterized. Furthermore, aphylogenetic analyses based on three protein sequences were generated in order togive evolutionary insights into insecticide resistance gene families of S. littoralis.

Distribution of moths of the Egyptian cotton leafworm, Spodoptera littoralis (Boisduval) (Lepidoptera: Noctuidae), in the Nile Delta interpreted from catches in a pheromone trap network in relation to meteorological factors

1984 ◽  
Vol 74 (3) ◽  
pp. 487-494 ◽  
Author(s):  
El-Sayed A. Nasr ◽  
M. R. Tucker ◽  
D. G. Campion
Keyword(s):  
Seasonal Variation ◽  
Spodoptera Littoralis ◽  
Nile Delta ◽  
Meteorological Factors ◽  
Source Area ◽  
Pheromone Trap ◽  
Seasonal Migrations ◽  
Egyptian Cotton ◽  
Lepidoptera Noctuidae ◽  
Egyptian Cotton Leafworm

AbstractRecords of daily catches of males of Spodoptera littoralis (Boisd.) at pheromone traps in or near the Nile Delta, Egypt, during 1979 and 1980 were used to investigate both the seasonal variation in catch and the possibility that migration, associated with particular weather systems, may significantly affect moth numbers in a particular area. Although more moths were caught in 1979 than in 1980, in both years there was a similar seasonal variation in catch, with low numbers in January and February followed by an increase to a maximum in June or August. There was no systematic seasonal change in the area of highest catch that would suggest seasonal migrations. On some nights, large increases in catch were associated with weather disturbances, notably windshift lines, suggesting that flying moths are sometimes redistributed by wind systems. Catches at two traps far from the main source area suggest that moths may have flown at least 50 km downwind from sources in the Nile Delta. The pattern of nightly catches at most traps indicated that build-up of local populations is the most important factor affecting the population dynamics of the pest but that some, mainly local, redistribution by wind systems takes place.

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