Analysis of potential distribution of Spodoptera frugiperda in western China

Li, Chao; Liao, Jianghua; Ya, Yuke; Liu, Juan; Li, Jun; Yu, Gang

doi:10.1016/j.aspen.2022.101985

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…It was reported that the potential for invasion of FAW pests in this study was very high in all sampling locations both in the Provinces of Bali and the Sunda Leser which still took into account the main host availability factor. Similar studies also reported that the presence of FAW is strongly influenced by environmental variables in various regions of China which include West Gansu, eastern Qinghai, Shaanxi, most of the Ningxia region, and parts of Tibet and more than 60% of the ideal distribution for FAW in this study is the western part of China whose distribution was simulated using ArcGIS and MaxEnt software [48,49]. The even distribution of FAW reported in this study is due to the availability of host plants that can be utilized by FAW to continue reproducing.…”

Section: Discussionsupporting

confidence: 70%

Spatial Distribution and Genetic Diversity of The Fall Armyworm, <em>Spodoptera frugiperda</em> J.E. Smith (Lepidoptera: Noctuidae) in the Bali Province and Lesser Sunda, Indonesia

Supartha¹,

Susila²,

Yudha³

et al. 2022

Preprint

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Spodoptera frugiperda is an invasive pest that has spread in various parts of the world. These pests have the ability to spread and adapt highly to new habitats. Until now, it is not known with certainty the distribution of these invasive pests in Eastern Indonesia, especially Bali and Nusa Tenggara. This study aims to map the spatial distribution and genetic distribution of S. frugiperda which damages maize in the areas of Bali and Nusa Tenggara. This research was conducted using a survey method from May to September 2022 covering the islands of Bali, Lombok, Sumbawa, Sumba, Flores, and Timor. The results showed that S. frugiperda had spread evenly in Bali and Nusa Tenggara. The results of PCR amplification in the COI gene from 9 sample isolates from all research locations showed the similarity of DNA bands leading to the Spodoptera frugiperda species with a banding pattern length of 683 – 697. These results indicated that the distribution of genetic variants of corn caterpillars in Bali, NTB, and NTT was confirmed as S. frugiperda species. However, the isolated gene S. frugiferda, which was shown by the alignment results of the sequences from Lombok, was confirmed as a different strain from strains from Bali, Sumba, Sumbawa, Flores, and Timor. This incident can be seen from the difference in the protein base composition of S. frugiperda from Bali, Sumba, Sumbawa, Timor, and Flores. The results of phylogenetic analysis in this study confirmed 3 clusters of the genetic closeness of S. frugiperda. Cluster-1 comes from the results of the search for specimens of JB FAW and KB FAW from Bali, SB FAW and SB FAW Sorghum from Sumba, SW FAW from Sumbawa, KP FAW from Timor, and FL FAW from Flores. Cluster-2 is an isolate outside of our species. Cluster-3 comes from the search for LT and LS FAW specimens from Lombok. The genetic distance between cluster-1 and cluster-3 is quite far, which is 0.20 mu.

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Section: Discussionsupporting

confidence: 70%

Spatial Distribution and Genetic Diversity of The Fall Armyworm, <em>Spodoptera frugiperda</em> J.E. Smith (Lepidoptera: Noctuidae) in the Bali Province and Lesser Sunda, Indonesia

Supartha¹,

Susila²,

Yudha³

et al. 2022

Preprint

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“…In the USA, S. frugiperda follows an annual northward migration over several generations from diapausing populations in the warmer southern regions of Florida and Texas [12]. A similar pattern of migration from diapausing "hot spots" offering optimal climate and host availability for S. frugiperda persistence has been proposed in its invasive range [13,14]. Increased population levels and continued migration from these "hot spots", together with increased suitable geographic locations globally due to climate change [15], highlight the increasing risk of continued expansion of S. frugiperda.…”

Section: Introductionmentioning

confidence: 73%

Exposure to Cry1 Toxins Increases Long Flight Tendency in Susceptible but Not in Cry1F-Resistant Female Spodoptera frugiperda (Lepidoptera: Noctuidae)

De Bortoli,

Santos,

Assirati

et al. 2023

Insects

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The fall armyworm (JE Smith) (Spodoptera frugiperda) is a polyphagous pest targeted by selected Cry and Vip3A insecticidal proteins from the bacterium Bacillus thuringiensis (Bt) that are produced in transgenic Bt corn and cotton. Available evidence suggests that sublethal larval exposure to Cry1Ac increases flight activity in adult Spodoptera spp. However, it is not known whether this effect is also observed in survivors from generally lethal exposure to Cry1Ac. Moreover, while multiple cases of field-evolved resistance to Bt proteins have been described in the native range of S. frugiperda, the effect of resistance on flight behavior has not been examined. Long-distance migratory flight capacity of S. frugiperda is of concern given its ongoing global spread and the possibility that migrants may be carrying resistance alleles against pesticides and Bt crops. In this study, we used rotational flight mills to test the effects of generally lethal exposure to Cry1Ac in susceptible and sublethal exposure in Cry1F-resistant S. frugiperda strains. The results detected altered pupal weight after larval feeding on diet containing Cry proteins, which only translated in significantly increased tendency for longer flights in female moths from the susceptible strain. This information has relevant implications when considering current models and assumptions for resistance management of Bt crops.

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“…(2) low data bias-using the presence or absence data of species to construct conditional models; (3) high comprehensiveness-reflecting the interaction effects between different variables (including biotic and abiotic factors); and (4) high convenience-providing continuous and clear outputs [43]. This method has been widely used in the prediction and forecasting of pest risk analysis (PRA) [44,45], predicting the hazards caused by exotic species and their trends, and can be used for pest epidemic monitoring, analysis, and control [46]. Currently, there are many applications of the MaxEnt model for predicting the habitat suitability of PWD, such as MaxEnt, which has been used in multi-angle and fine-scale studies to predict the risk of PWD continuing to spread in China [25].…”

Section: The Maxent Modelmentioning

confidence: 99%

Habitat Suitability of Pine Wilt Disease in Northeast China under Climate Change Scenario

Wang,

Deng,

Yan

et al. 2023

Forests

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Pine wilt disease (PWD), caused by Bursaphelenchus xylophilus, is one of the most severe forest diseases worldwide. PWD causes devastating disasters to Chinese pine trees, seriously threatening forestry production and the forest ecological environment, and causes economic losses of over ten billion yuan per year to China. Previous studies have shown that the spread of PWD is closely related to climate factors. Today, PWD is spreading rapidly owing to abnormal climate changes. In order to provide a reference for controlling the spread of PWD in China, in this study, we accurately assessed the risk of the continued spread of PWD in Northeast China; a correlative species distribution model (MaxEnt) (RM = 1, AUC = 0.9904) was used to evaluate China’s climate suitability for PWD. The effects of climate factors on the spread of PWD in Northeast China were studied using Liaoning Province as an example by analyzing the relationship between the changes in average precipitation, average temperature, average relative humidity, average vapor pressure deficit, average wind speed, average sunshine duration and the area of the PWD epidemic over the past five years. These results suggest that with the change in climate, the areas suitable for PWD have expanded, and certain previously unsuitable areas for its distribution have become suitable. Temperature and precipitation were found to play key roles in the occurrence and damage of PWD, and hot and arid conditions favored the spread of PWD. It is recommended that for areas within the suitable range of PWD but not yet epidemic areas, quarantine should be strengthened to prevent the further spread of PWD. In addition, special attention should be paid to epidemic areas with high temperatures and arid while the monitoring of PWD should be strengthened to achieve the early detection and timely treatment of infected epidemic trees. Our results indicate that PWD undoubtedly poses a major threat to Northeast Chinese pine species if climate change proceeds as projected. In the future, more attention should be paid to monitoring the northward spread of PWD, and further studies should consider meteorological data forecasts, which could facilitate timely control measures.

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Analysis of potential distribution of Spodoptera frugiperda in western China

Cited by 6 publications

References 10 publications

Spatial Distribution and Genetic Diversity of The Fall Armyworm, <em>Spodoptera frugiperda</em> J.E. Smith (Lepidoptera: Noctuidae) in the Bali Province and Lesser Sunda, Indonesia

Spatial Distribution and Genetic Diversity of The Fall Armyworm, <em>Spodoptera frugiperda</em> J.E. Smith (Lepidoptera: Noctuidae) in the Bali Province and Lesser Sunda, Indonesia

Exposure to Cry1 Toxins Increases Long Flight Tendency in Susceptible but Not in Cry1F-Resistant Female Spodoptera frugiperda (Lepidoptera: Noctuidae)

Habitat Suitability of Pine Wilt Disease in Northeast China under Climate Change Scenario

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