Proceedings of The 1st International Electronic Conference on Entomology最新文献_第2页

Microbial symbiosis in mosquito vectors 蚊媒微生物共生

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-08 DOI: 10.3390/iece-10641

G. Favia

{"title":"Microbial symbiosis in mosquito vectors","authors":"G. Favia","doi":"10.3390/iece-10641","DOIUrl":"https://doi.org/10.3390/iece-10641","url":null,"abstract":": Mosquitoes host diverse bacterial communities influenced by the sex of the mosquito, tissue, and developmental stages, among other factors. Consequently, the mosquito microbiota may impact on several aspects of the host biology, including nutrition, development and reproduction. We have recently revealed a shared core microbiota among different mosquito species, although interesting inter-and intra-species differences were detected. Additionally, we showed deep divergences between genera, underlining microbiota specificity and adaptation to their host suggesting that the holobiont of different mosquito species may significantly vary. Moreover, mosquito species are characterized by distinctive microbiota in different organs, likely reflecting different functions and/or adaptation processes. Understanding of the microbiota of mosquitoes in relation to sex, developmental stage and tissue, may ultimately provide crucial insights and novel targets for possible application of symbionts in innovative strategies for the control of vector borne diseases, globally named Symbiotic Control (SC). Here I report some advances in the study of microbial symbiosis in mosquitoes with particular reference to the acetic bacterium Asaia, the best characterized Anophe-line symbiont, for which some conditioning on the biology of the host are proposed, including, for example, a possible impact on insecticide-resistance mechanism sdeveloped by mosquitoes.","PeriodicalId":109312,"journal":{"name":"Proceedings of The 1st International Electronic Conference on Entomology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125340574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamics of parasitoid-host interaction: Application of the case of Callosobruchus maculatus (Chrysomelidae) and Dinarmus basalis (Pteromalidae) 寄主-寄主相互作用的动态研究——以斑萼螨(金盏花科)和基底蝶蝇(翼蛾科)为例

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-07 DOI: 10.3390/iece-10623

Jouda Mediouni-Ben Jemâa, S. Haouel-Hamdi, Marwa Ferchcichi, M. Hedjal-Chebheb, Emna Boushih

引用次数: 0

Influence of Meteorological Factors on Population Dynamics of Fall Armyworm, Spodoptera frugiperda, Lepidoptera: Noctuidae and its Varietal Susceptiblilty to FAW 气象因子对秋粘虫、夜蛾、夜蛾种群动态的影响及其对FAW的敏感性

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-06 DOI: 10.3390/iece-10609

Shahbaz Ahmad, M. Arslan

引用次数: 0

DNA Barcoding of Olive Lace Bugs (Hemiptera: Tingidae) Re-Veals Previously Unknown Species Diversity in South Africa 南非橄榄花边虫(半翅目:Tingidae)的DNA条形码揭示了以前未知的物种多样性

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-06 DOI: 10.3390/iece-10610

Vaylen Hlaka, B. van Asch

引用次数: 0

Use of DNA Barcoding to Confirm Invasive Banana Skipper Erionota torus (Evans) from Malabar Region of Kerala 利用DNA条形码技术鉴定喀拉拉邦马拉巴尔地区入侵香蕉跳蝇

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-05 DOI: 10.3390/iece-10601

Jaleel K. V. Abdul, S. Ghosh

引用次数: 1

A Machine Learning Based Approach to Study Morphological Features of Bees 基于机器学习的蜜蜂形态特征研究方法

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-05 DOI: 10.3390/iece-10607

Md. Zakir Hossain, K. A. Ahmed, John Yoo

{"title":"A Machine Learning Based Approach to Study Morphological Features of Bees","authors":"Md. Zakir Hossain, K. A. Ahmed, John Yoo","doi":"10.3390/iece-10607","DOIUrl":"https://doi.org/10.3390/iece-10607","url":null,"abstract":"Bees are the major pollinators of agricultural crops and due to numerous factors, the global bee population is declining drastically. Identification and extraction of numerous body features of bees can allow us to understand the population dynamics and bee-hive health of an agricultural area. Morphological key-based bee studies are well established procedures for these tasks, which are time consuming and need critical knowledge about different bees species. Recently, numerous machine learning (ML) methods have been implemented on numerous insect species, but there is a scarcity of deep learning models for morphological studies of bees. In our current study, we applied ML methods to extract variants of class activation maps that visually display distinguishing morphological features of bees. We sourced an image data set of eleven different species of Bumblebee (Bombus sp.), Honey bee (Apis sp.) and Carpenter bee (Xylocopa sp.) from iNaturalist, curated and fine-tuned against fifteen state-of-the-art image classification models. An accuracy of 93.66% was obtained with a ResNest101e model, and including data augmentation improves the performance to the highest accuracy of 94.27%. We also compared the ML extracted visual features with traditional morphological key-based features and showed existing unsupervised ML models are error prone in numerous instances due to their focus on overall features, whereas manual methods benefited by focusing only on the main discriminating body features, showing a potential scope of improvement the existing models. Overall, our model will be implicated in bee-morphology based tasks of apiculture, such as distinguishing between healthy and parasitic bees, and classification tasks of similar insect species.","PeriodicalId":109312,"journal":{"name":"Proceedings of The 1st International Electronic Conference on Entomology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128971183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Prospects for Biological Control of Marchalina hellenica in Australia Using a Silver Fly 利用银蝇生物防治澳大利亚黄斑Marchalina的前景

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-05 DOI: 10.3390/iece-10602

Nikoleta Eleftheriadou, D. Avtzis, U. Lubanga, G. Lefoe, R. Kwong, S. Elms, David Smith, R. Shaw, L. Seehausen, M. Kenis, N. Kavallieratos

引用次数: 0

Genetic Diversity of the Invasive Sycamore Lace Bug (SLB), Corythucha ciliata (Say, 1832) (Tingidae, Hemiptera), in Its Native and Invaded Areas 入侵Sycamore Lace Bug (SLB)， Corythucha ciliata (Say, 1832) (Tingidae，半翅目)在其原生和入侵地区的遗传多样性

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-02 DOI: 10.3390/iece-10572

F. Lakatos, K. Tuba, Jenő Jakab, Boglárka Bender, Angéla Kalocsai, Alexandra Porcsin, Réka Szőke-Wittich, H. Kajimura, V. Tóth

引用次数: 0

Genetic Variation of Candidate Genes for Timing and Effectuating Photoperiodic Diapause Induction in the Parasitoid Nasonia vitripennis 拟寄生蜂光周期滞育诱导时间和作用候选基因的遗传变异

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-02 DOI: 10.3390/iece-10577

P. Romeyer, L. Beukeboom, L. van de Zande

{"title":"Genetic Variation of Candidate Genes for Timing and Effectuating Photoperiodic Diapause Induction in the Parasitoid Nasonia vitripennis","authors":"P. Romeyer, L. Beukeboom, L. van de Zande","doi":"10.3390/iece-10577","DOIUrl":"https://doi.org/10.3390/iece-10577","url":null,"abstract":": Seasonal variation of photoperiod and temperature often leads to a latitudinal gradient in season-dependent behavior. The parasitic wasp Nasonia vitripennis exhibits a latitudinal cline in photoperiodic diapause induction. Allelic variation of the clock gene period was shown to be associated with this behavioral cline. In addition, circadian expression of the clock genes period ( per ), crypto-chrome-2 ( cry-2 ), clock ( clk ), and cycle ( cyc ) shows photoperiodical and latitude-of-origin associated variation. Apart from these clock genes, a Genome Wide Association Study revealed five possible non-clock effector genes for diapause induction: Helicase DDX28, APC11, SIPA1L1, OR175, and CBFA2TI . Here we use sequence data of isogenic N. vitripennis lines from different latitudes to screen for variation in these additional clock and non-clock candidate genes for photoperiodic diapause induction. Polymorphisms in cry-2, cycle and SIPA1L1 showed a haplotype distribution according to latitude-of-origin. Our results support a role of clock gene and SIPA1L1 variation in the difference of diapausing brood production of the northern and southern lines and hints at different selection pressures for diapause effector genes in high end low latitudes.","PeriodicalId":109312,"journal":{"name":"Proceedings of The 1st International Electronic Conference on Entomology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128668465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Open Access Resource Portal for Arthropod Vectors and Agricultural Pathosystems: AgriVectors.org 节肢动物媒介和农业病理系统的开放获取资源门户:AgriVectors.org

Proceedings of The 1st International Electronic Conference on Entomology Pub Date : 2021-07-02 DOI: 10.3390/iece-10576

S. Saha, W. Cooper, The AgriVectors Consortium, W. Hunter, L. Mueller

{"title":"An Open Access Resource Portal for Arthropod Vectors and Agricultural Pathosystems: AgriVectors.org","authors":"S. Saha, W. Cooper, The AgriVectors Consortium, W. Hunter, L. Mueller","doi":"10.3390/iece-10576","DOIUrl":"https://doi.org/10.3390/iece-10576","url":null,"abstract":": Arthropod vectors of plant pathogens cause enormous economic losses and are a fundamental challenge for sustainable food production. To develop more effective control of plant pathogens and pests, data pertaining to disease systems need to be consolidated, made accessible, searchable and amenable to data mining. The AgriVectors™ platform is an open access and comprehensive resource for growers, researchers and industry who are working on insect-vectored plant pathogens. The portal connects established public repositori es with ‘pathosystem - specific’ data repositories. Current resources include the Asian citrus psyllid, the potato psyllid and the bacterial pathogens they transmit to citrus and Solanaceous plants. Expansion to include resources for other important Hemipteran vectors (whiteflies, leafhoppers, planthoppers, scale, mealybugs etc.), thrips. and mites is planned. There is also the capacity to set up private and protected databases for protected access as needed. Linking visual data with gene expression profiles using 3D microCT technology will expand the understanding and use of diverse and complex data. The AgriVectors portal will extend this model beyond gene-centric omics-data to the broader Systems Biology Pa-thosystem -wide information, with integrated pest management, behavior, plant health, soil health and climate data so that users can rapidly incorporate phenotyping information from greenhouse and field trials. This will establish a foundation for more effective identification and development of solutions for the control of plant diseases. AgriVectors portal creates a user-friendly platform that fosters interdisciplinary collaborations among researchers of diverse plant pathosystems, to simplify data sharing, ideas, and technologies to develop solutions for managing plant diseases.","PeriodicalId":109312,"journal":{"name":"Proceedings of The 1st International Electronic Conference on Entomology","volume":"568 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133523467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3