Biology, morphology and molecular characterization of Sitophilus oryzae and S. zeamais (Coleoptera: Curculionidae)

Devi, Salam Rita; Thomas, Asha; Rebijith, K. B.; Ramamurthy, V. V.

doi:10.1016/j.jspr.2017.08.004

Cited by 37 publications

(22 citation statements)

References 23 publications

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“…Scorpions exhibited the highest percentage of guanine in the COI barcode. Despite this being the first time, to the best of the authors' knowledge, that this issue in scorpions has been reported, some reports in other animal groups identified this type of deviation as a reflection of separate divergence of these groups from their ancestors and sister groups [50][51][52]. More future work is expected to ensue from this finding in order to assess the taxonomic significance of this guanine-skewed composition of COI barcode region in scorpions among all arachnid taxa.…”

Section: Discussionmentioning

confidence: 83%

DNA Barcoding for Scorpion Species from New Valley Governorate in Egypt Reveals Different Degrees of Cryptic Speciation and Species Misnaming

et al. 2021

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(1) Background: Scorpions (Arthropoda: Arachnida) represent a diverse group of invertebrates, accounting for a significant proportion of earth’s predators and ecosystems’ modulators. Surviving mostly in hardly reachable nests, and representing key hazards to human health, they attracted major interest for characterizing their eco-, morpho-, and genotypes. (2) Methods: Four scorpion species were collected from the New Valley governorate in Upper Egypt, where a high level of scorpionism and related neurological symptoms are found, that were Leiurus quinquestriatus, Androctonus amoreuxi, Orthochirus innesi, Buthacus leptochelys. They were DNA barcoded, genetically and phylogenetically analyzed through PCR amplification and sequencing of the mitochondrial cytochrome oxidase subunit 1 (COI) gene hypervariable 5′ region. (3) Results: New, morphologically authenticated scorpion barcodes could be added to the barcoding databases. However, several discrepancies and barcode database inadequacies could be revealed. Moreover, taxon-specific patterns for nitrogenous bases’ distribution could be identified, resulting in a significantly high percentage of COI barcode guanine in scorpionids, in comparison to araneids and opilions. (4) Conclusions: For a group of animals where both cryptic speciation and a high risk of human envenomation are evident, the findings of the current study strongly recommend continuous and comprehensive research efforts dealing with morphogenetic authentication for different species of scorpions.

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Section: Discussionmentioning

confidence: 83%

DNA Barcoding for Scorpion Species from New Valley Governorate in Egypt Reveals Different Degrees of Cryptic Speciation and Species Misnaming

et al. 2021

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“…Rice weevil Sitophilus oryzae (L.) (Coleoptera: Curculionidae) is one of the most important insect pests of stored wheat and other cereal grains worldwide 5 , 7 . It is a primary stored-grain insect that attacks whole grains and causes significant grain losses 7 , 8 . The feeding activity of S. oryzae leads to a secondary infestation of pests, fungal diseases, and grain spoilage 7 , 8 .…”

Section: Introductionmentioning

confidence: 99%

“…It is a primary stored-grain insect that attacks whole grains and causes significant grain losses 7 , 8 . The feeding activity of S. oryzae leads to a secondary infestation of pests, fungal diseases, and grain spoilage 7 , 8 . The mature rice weevil grows 3 to 4 mm long and the larvae feed internally inside the grain kernel through its escape, creating distinctive tiny, round holes known as weevil damage 9 .…”

Section: Introductionmentioning

confidence: 99%

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A logarithmically amortising temperature effect for supervised learning of wheat solar disinfestation of rice weevil Sitophilus oryzae (Coleoptera: Curculionidae) using plastic bags

Abdelsamea

Gaber

Ali

et al. 2023

Sci Rep

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This work investigates the effectiveness of solar heating using clear polyethylene bags against rice weevil Sitophilus oryzae (L.), which is one of the most destructive insect pests against many strategic grains such as wheat. In this paper, we aim at finding the key parameters that affect the control heating system against stored grain insects while ensuring that the wheat grain quality is maintained. We provide a new benchmark dataset, where the experimental and environmental data was collected based on fieldwork during the summer in Canada. We measure the effectiveness of the solution using a novel formula to describe the amortising temperature effect on rice weevil. We adopted different machine learning models to predict the effectiveness of our solution in reaching a lethal heating condition for insect pests, and hence measure the importance of the parameters. The performance of our machine learning models has been validated using a 10-fold cross-validation, showing a high accuracy of 99.5% with 99.01% recall, 100% precision and 99.5% F1-Score obtained by the Random Forest model. Our experimental study on machine learning with SHAP values as an eXplainable post-hoc model provides the best environmental conditions and parameters that have a significant effect on the disinfestation of rice weevils. Our findings suggest that there is an optimal medium-sized grain amount when using solar bags for thermal insect disinfestation under high ambient temperatures. Machine learning provides us with a versatile model for predicting the lethal temperatures that are most effective for eliminating stored grain insects inside clear plastic bags. Using this powerful technology, we can gain valuable information on the optimal conditions to eliminate these pests. Our model allows us to predict whether a certain combination of parameters will be effective in the treatment of insects using thermal control. We make our dataset publicly available under a Creative Commons Licence to encourage researchers to use it as a benchmark for their studies.

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“…Molecular information on the two species is inadequate, with only few reports about the molecular identification C. dimidiatus by species-specific PCR and barcode fragments of mitochondrial cytochrome c oxidase I (cox1) gene [8,9]. The molecular data of storage pests are very useful, not only to study the population structure and geographical variability but also to resolve ecological and taxonomic relationships [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

The First Complete Mitochondrial Genomes of Two Sibling Species from Nitidulid Beetles Pests

Lan

Xia

et al. 2019

Insects

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Carpophilus dimidiatus (Fabricius, 1792) and Carpophilus pilosellus Motschulsky are two sibling species and economically important storage pests worldwide. The first complete mitochondrial (mt) genomes of both were sequenced using next-generation sequencing. The mt genomes of C. dimidiatus and C. pilosellus are circular, with total lengths of 15,717 bp and 15,686 bp, respectively. Gene order and content for both species are similar to what has been observed in ancestral insects and consist of 13 protein-coding genes, two ribosomal RNA genes, 22 transfer RNA genes, and a control region. Comparing the mt genome data of C. dimidiatus and C. pilosellus, they are similar in organization, arrangement patterns, GC contents, transfer RNA (tRNA) secondary structures, and codon usage patterns. Small differences were noted with regards to the nucleotide similarity of coding regions and the control region. This is the first publication of the complete mitochondrial genomes of two sibling species. The mt genome sequences can supplement the nuclear markers of the Carpophilus genus in research species identification, system evolution, and population genetic structure, and also will be valuable molecular marker for further genetic studies.

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Biology, morphology and molecular characterization of Sitophilus oryzae and S. zeamais (Coleoptera: Curculionidae)

Cited by 37 publications

References 23 publications

DNA Barcoding for Scorpion Species from New Valley Governorate in Egypt Reveals Different Degrees of Cryptic Speciation and Species Misnaming

DNA Barcoding for Scorpion Species from New Valley Governorate in Egypt Reveals Different Degrees of Cryptic Speciation and Species Misnaming

A logarithmically amortising temperature effect for supervised learning of wheat solar disinfestation of rice weevil Sitophilus oryzae (Coleoptera: Curculionidae) using plastic bags

The First Complete Mitochondrial Genomes of Two Sibling Species from Nitidulid Beetles Pests

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