Integrated management of Spodoptera frugiperda 6 years post detection in Africa: a review

Tepa-Yotto, Ghislain T.; Chinwada, Peter; Rwomushana, Ivan; Goergen, G.; Subramanian, Sevgan

doi:10.1016/j.cois.2022.100928

Cited by 12 publications

(7 citation statements)

References 46 publications

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“…The fall armyworm (FAW), Spodoptera frugiperda, native to tropical and subtropical America, is an agricultural pest. It has a wide plant host range, strong migratory ability, high reproductive capacity, and invaded sub-Saharan Africa, Asia, and other regions [13][14][15]. In China, the FAW was first found in Yunnan in January 2019.…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Identification and Expression Profiling of Candidate Sex Pheromone Biosynthesis Genes in the Fall Armyworm (Spodoptera frugiperda)

Kang

Zhang

et al. 2022

Insects

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Spodoptera frugiperda is an agricultural pest causing substantial damage and losses to commercial crops. Sex pheromones are critical for successful mating in Lepidoptera and have been used for monitoring and control of many pest species. The sex pheromone of S. frugiperda is known, but the genes involved in its biosynthesis have not been identified. We systematically studied 99 candidate sex pheromone genes in the genome of S. frugiperda including 1 acetyl-CoA carboxylase (ACC), 11 fatty acid synthases (FASs), 17 desaturases (DESs), 4 fatty acid transport proteins (FATPs), 29 fatty acyl-CoA reductases (FARs), 17 acetyl-CoA acetyltransferases (ACTs), 5 acyl-CoA dehydrogenase (ACDs), 3 enoyl-CoA hydratases (ECHs), 3 hydroxyacyl-CoA dehydrogenases (HCDs), 6 ethyl-CoA thiolases (KCTs), and 3 acyl-CoA-binding proteins (ACBPs). Based on the comparative transcriptome results, we found 22 candidate sex pheromone biosynthesis genes predominately expressed in pheromone glands (PGs) than abdomens without PGs including SfruFAS4, SfruFATP3, SfruACD5, SfruKCT3, SfruDES2, SfruDES5, SfruDES11, SfruDES13, SfruFAR1, SfruFAR2, SfruFAR3, SfruFAR6, SfruFAR7, SfruFAR8, SfruFAR9, SfruFAR10, SfruFAR11, SfruFAR14, SfruFAR16, SfruFAR29, SfruACT6, and SfruACT10. A combination of phylogenetic and tissue-specific transcriptomic analyses indicated that SfruDES5, SfruDES11, SfruFAR2, SfruFAR3, and SfruFAR9 may be key genes involved in the sex pheromone synthesis of S. frugiperda. Our results could provide a theoretical basis for understanding the molecular mechanisms of sex pheromone biosynthesis in S. frugiperda, and also provide new targets for developing novel pest control methods based on disrupting sexual communication.

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Section: Introductionmentioning

confidence: 99%

Genome-Wide Identification and Expression Profiling of Candidate Sex Pheromone Biosynthesis Genes in the Fall Armyworm (Spodoptera frugiperda)

Kang

Zhang

et al. 2022

Insects

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“…The research on insects’ reproductive mechanisms can facilitate the search for new targets for pest control. S. frugiperda is a highly polyphagous invasive pest, and its strong fecundity is a key factor in its explosive damage [ 23 , 26 ]. However, little is known about the role of Vg and VgR in S. frugiperda .…”

Section: Discussionmentioning

confidence: 99%

Molecular Characterization of Vitellogenin and Its Receptor in Spodoptera frugiperda (J. E. Smith, 1797), and Their Function in Reproduction of Female

Han

Wang

Song

et al. 2022

IJMS

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The fall armyworm Spodoptera frugiperda is a highly polyphagous invasive pest. The strong reproductive capacity is an important factor in the rapid colonization and expansion of S. frugiperda. Vitellogenin (Vg) and vitellogenin receptor (VgR) play important roles in insect reproduction. As the precursor of vitellin (Vn), Vg provides essential nutrition for embryonic development, and VgR mediates the uptake of Vg by oocytes. In this context, we cloned and characterized these two genes of S. frugiperda (SfVg and SfVgR) and evaluated their expression profiles in different developmental stages and tissues. The RNA interference experiment was used to investigate their function in vitellogenesis. The ORF values of SfVg and SfVgR were 5250 and 5445 bp, encoding 1749 and 1815 amino acid residues, respectively. The qRT-PCR results revealed that both SfVg and SfVgR were highly expressed in female adults; SfVg was specifically expressed in the fat body, whereas SfVgR was highly expressed in the ovary. In addition, the depletion of either SfVg or SfVgR hindered oocyte maturation and ovarian development, leading to a significant decrease in fecundity. The present study reveals the importance of SfVg and SfVgR in the vitellogenesis of S. frugiperda, laying a theoretical foundation for the development of pollution-free pest control strategies with SfVg and SfVgR as new targets.

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“…The FAO has developed the new FAW Monitoring and Early Warning System (FAMEWS) for Africa, allowing users, through the mobile app, to collect scouting, trapping, farming, and crop data [47]. Such disclosed data can be mapped in a GIS and thus, provide insight into the population behavior of FAW and guide growers regarding the best management practices [48].…”

Section: Surveillance and Monitoring Toolsmentioning

confidence: 99%

“…Based on artificial intelligence advances, analyzing and identifying images of the pest damage could greatly help farmers in diagnosing the disease or the insect pest in seconds, even without a connection to the Internet. Nuru is one of these tools helping many farmers in Africa to diagnose fall armyworm (FAW) in their fields [48]. Specific image analysis software (e.g., Assess 2.0, Lamari APS Press) can also be used on pictures of affected organs or canopies, and it represents another useful tool for estimating disease severity on different vegetative organs by, for example, quantifying the size of chlorotic and/or sporulating lesions on grapevine leaves affected by downy mildew [53].…”

Section: Diagnostic Toolsmentioning

confidence: 99%

“…Image analysis software More precise disease quantification [53] Artificial intelligence, machine, learning, Shortened diagnostic time [48] ELISA PCR, RT-PCR LAMP RT-RPA More precise diagnosis [55,63,64] In-field analysis [82][83][84][85][86][87] Simple and short sample preparation methods [98,100,102]…”

Section: Traditional Approach Advanced Approach Improvementsmentioning

confidence: 99%

See 1 more Smart Citation

Innovations in Disease Detection and Forecasting: A Digital Roadmap for Sustainable Management of Fruit and Foliar Disease

Hasanaliyeva

Ammour

Yaseen³

et al. 2022

Agronomy

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In a quickly growing world, there is increasing demand for a secure food supply, a reduction in the intensive use of natural resources, and the enhancement of sustainability for future long-term maintenance. In this regard, plant health, including fruit and foliar diseases, which can cause a vast amount of crop loss, potentially has a huge effect on food security. The integration of new, innovative technological tools and data management techniques into the traditional agricultural practices is a promising approach to combat future food shortages. The use of the same principles of precision agriculture to “do the right thing, at the right time, in the right place” will allow for providing detailed, real-time information that will help farmers to protect their crops and choose healthier, as well as more productive, farming methods. The presented narrative review reports on several items of innovation, including monitoring and surveillance, diagnostic, and decision-making tools, with a specific focus devoted to digital solutions that can be applied in agriculture in order to improve the quality and the speed of the decision-making process and specifically, to set up a digital collaboration that can be crucial under certain circumstances to reach sustainability goals, particularly in the Near East and North Africa (NENA) Region, where an effective and rapid solution for phytosanitary control is needed.

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Integrated management of Spodoptera frugiperda 6 years post detection in Africa: a review

Cited by 12 publications

References 46 publications

Genome-Wide Identification and Expression Profiling of Candidate Sex Pheromone Biosynthesis Genes in the Fall Armyworm (Spodoptera frugiperda)

Genome-Wide Identification and Expression Profiling of Candidate Sex Pheromone Biosynthesis Genes in the Fall Armyworm (Spodoptera frugiperda)

Molecular Characterization of Vitellogenin and Its Receptor in Spodoptera frugiperda (J. E. Smith, 1797), and Their Function in Reproduction of Female

Innovations in Disease Detection and Forecasting: A Digital Roadmap for Sustainable Management of Fruit and Foliar Disease

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