Data from: Metabolic Coevolution in the Bacterial Symbiosis of Whiteflies and Related Plant Sap-Feeding Insects

Principal Investigator(s):  View help for Principal Investigator(s) US Department of Agriculture; National Agricultural Library

Version:  View help for Version V1

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adc_metadata.json application/json 23.9 KB 06/26/2026 07:49:PM
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evv170_Supplementary_Data.zip application/zip 4 MB 06/26/2026 11:43:AM

Project Citation: 

US Department of Agriculture, and National Agricultural Library. Data from: Metabolic Coevolution in the Bacterial Symbiosis of Whiteflies and Related Plant Sap-Feeding Insects. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-06-27. https://doi.org/10.3886/E250343V1

Project Description

Project Title:  View help for Project Title Data from: Metabolic Coevolution in the Bacterial Symbiosis of Whiteflies and Related Plant Sap-Feeding Insects
Summary:  View help for Summary Genomic decay is a common feature of intracellular bacteria that have entered into symbiosis with plant sap-feeding insects. This study of the whitefly Bemisia tabaci and two bacteria (Portiera aleyrodidarum and Hamiltonella defensa) cohoused in each host cell investigated whether the decay of Portiera metabolism genes is complemented by host and Hamiltonella genes, and compared the metabolic traits of the whitefly symbiosis with other sap-feeding insects (aphids, psyllids, and mealybugs). Parallel genomic and transcriptomic analysis revealed that the host genome contributes multiple metabolic reactions that complement or duplicate Portiera function, and that Hamiltonella may contribute multiple cofactors and one essential amino acid, lysine. Homologs of the Bemisia metabolism genes of insect origin have also been implicated in essential amino acid synthesis in other sap-feeding insect hosts, indicative of parallel coevolution of shared metabolic pathways across multiple symbioses. Further metabolism genes coded in the Bemisia genome are of bacterial origin, but phylogenetically distinct from Portiera, Hamiltonella and horizontally transferred genes identified in other sap-feeding insects. Overall, 75% of the metabolism genes of bacterial origin are functionally unique to one symbiosis, indicating that the evolutionary history of metabolic integration in these symbioses is strongly contingent on the pattern of horizontally acquired genes. Our analysis, further, shows that bacteria with genomic decay enable host acquisition of complex metabolic pathways by multiple independent horizontal gene transfers from exogenous bacteria. Specifically, each horizontally acquired gene can function with other genes in the pathway coded by the symbiont, while facilitating the decay of the symbiont gene coding the same reaction.


Resources in this dataset:

Resource Title: Supplementary Data. File Name: evv170_Supplementary_Data.zipResource Description: This package was downloaded from Genome Biology and Evolution at this link: Supplementary Data

Resource Title: Supplementary Data.

File Name: evv170_Supplementary_Data.zip

Resource Description: This package was downloaded from Genome Biology and Evolution at this link: Supplementary Data
Original Distribution URL:  View help for Original Distribution URL https://agdatacommons.nal.usda.gov/articles/dataset/Data_from_Metabolic_Coevolution_in_the_Bacterial_Symbiosis_of_Whiteflies_and_Related_Plant_Sap-Feeding_Insects/24662805

Scope of Project

Subject Terms:  View help for Subject Terms amino acid biosynthesis; bacteriocyte; Bemisia tabaci; Hamiltonella; horizontal gene transfer; Portiera
Collection Notes:  View help for Collection Notes DOI: 10.15482/USDA.ADC/1529214 Citation: Luan, Jun-Bo; Chen, Wenbo; Hasegawa, Daniel K.; Simmons, Alvin M.; Wintermantel, William M.; Ling, Kai-Shu; Fei, Zhangjun; Liu, Shu-Sheng; Douglas, Angela E. (2018). Data from: Metabolic Coevolution in the Bacterial Symbiosis of Whiteflies and Related Plant Sap-Feeding Insects. Genome Biology and Evolution. https://doi.org/10.15482/USDA.ADC/1529214 (Downloaded 2026-06-26)


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