pomonella can reach 80% for apples and 60% for pears in orchards without pest control treatment (Supplementary Fig. The larvae of this notorious pest bore into the fruit, causing damage making it unmarketable (Supplementary Fig. The codling moth, Cydia pomonella (Lepidoptera, Tortricidae), is a wide-spread and highly impactful pest of pome fruit (apples and pears) and walnuts 1. pomonella informs the genetic basis of its invasiveness, suggesting the codling moth has distinctive capabilities and adaptive potential that may explain its worldwide expansion. pomonella sensitivity to two insecticides, deltamethrin and azinphos methyl. Genome-wide association studies contrasting insecticide-resistant and susceptible strains identify hundreds of single nucleotide polymorphisms (SNPs) potentially associated with insecticide resistance, including three SNPs found in the promoter of CYP6B2. pomonella to exploit kairomones and pheromones in locating both host plants and mates. This assembly reveals the duplication of an olfactory receptor gene ( OR3), which we demonstrate enhances the ability of C. We generated a chromosome-level scaffold assembly including the Z chromosome and a portion of the W chromosome. The codling moth Cydia pomonella, a major invasive pest of pome fruit, has spread around the globe in the last half century. Nature Communications volumeВ 10, ArticleВ number: 4237 ( 2019) вЂњBursty Coordination in Online CommunitiesвЂќ, withВ Lei (Nico) Zheng,В Deborah Gordon, andВ Jeffrey Nickerson.A chromosome-level genome assembly of Cydia pomonella provides insights into chemical ecology and insecticide resistance.

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вЂњHow Does Social Media Impact Bitcoin Value? - A test of the silent majority hypothesisвЂќ, with Qing Bai, Zhe (Jay) Shan, Xin Wang, and Roger Chiang, Journal of Management Information Systems, 35(1), 2018.вЂњA Big-Data Approach to Understanding the Thematic Landscape of the Field of Business EthicsвЂќ, with Ying Liu and Chris MacDonald, Journal of Business Ethics, 160(1), 2019.вЂњDeep learning models for bankruptcy prediction using textual disclosuresвЂќ, with Shaonan Tian, Chihoon Lee, and Ling Ma, European Journal of Operational Research, 274(2), 2019.вЂњThe Effect of Online Reviews on Product Sales: A Joint Sentiment-Topic AnalysisвЂќ, with Xiaolin Li and Chaojiang Wu, Information & Management, 56(2), 2019.вЂњThe Roles Bots Play in WikipediaвЂќ, withВ Lei (Nico) Zheng, Christopher Albano, Neev Vora, andВ Jeffrey Nickerson, Proceedings of the ACM on Human-Computer Interaction (ACM CSCW), 2019.вЂњOperational Efficiency and Patient-Centered Healthcare: A View from Online Physician ReviewsвЂќ, with Dong-Gil Ko, Zhe (Jay) Shan, and Dawei (David) Zhang, Journal of Operations Management, 65(4), 2019.вЂњEmpirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment DetectionвЂќ, withВ Ameya Vaidya and Yue Ning, 14thВ International AAAI Conference on Web and Social Media (ICWSM), 2020.вЂњMeasuring Corporate Culture Using Machine LearningвЂќ, with Kai Li, Rui Shen, and Xinyan Yan, Review of Financial Studies,В forthcoming, 2020.

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