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Tytuł:
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An eco-systems biology approach for modeling tritrophic networks reveals the influence of dietary amino acids on symbiont dynamics of Bemisia tabaci.
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Autorzy:
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Selvaraj G; Institute of Plant Sciences, Newe Ya'ar Research Center, The Agricultural Research Organization, P.O.B. 1021, Ramat Yishay, 30095, Israel.; Institute of Plant Protection, Newe Ya'ar Research Center, The Agricultural Research Organization, P.O.B. 1021, Ramat Yishay, 30095, Israel.
Santos-Garcia D; Department of Entomology, The Hebrew University of Jerusalem, Rehovot, 7610001, Israel.
Mozes-Daube N; Institute of Plant Protection, Newe Ya'ar Research Center, The Agricultural Research Organization, P.O.B. 1021, Ramat Yishay, 30095, Israel.
Medina S; Institute of Plant Sciences, Newe Ya'ar Research Center, The Agricultural Research Organization, P.O.B. 1021, Ramat Yishay, 30095, Israel.
Zchori-Fein E; Institute of Plant Protection, Newe Ya'ar Research Center, The Agricultural Research Organization, P.O.B. 1021, Ramat Yishay, 30095, Israel.
Freilich S; Institute of Plant Sciences, Newe Ya'ar Research Center, The Agricultural Research Organization, P.O.B. 1021, Ramat Yishay, 30095, Israel.
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Źródło:
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FEMS microbiology ecology [FEMS Microbiol Ecol] 2021 Sep 06; Vol. 97 (9).
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Typ publikacji:
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Journal Article; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Publication: 2015- : Oxford Oxford University Press
Original Publication: [Amsterdam] : Elsevier Science Publishers on behalf of the Federation of European Microbiological Societies, [1985-
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MeSH Terms:
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Hemiptera*
Systems Biology*
Amino Acids ; Animals ; Diet ; Ecosystem ; Symbiosis
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Contributed Indexing:
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Keywords: eco-systems biology; genomics; insects' symbionts; metabolic networks; microbial communities; trophic interactions
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Substance Nomenclature:
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0 (Amino Acids)
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Entry Date(s):
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Date Created: 20210811 Date Completed: 20210927 Latest Revision: 20210927
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Update Code:
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20240105
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DOI:
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10.1093/femsec/fiab117
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PMID:
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34379764
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Metabolic conversions allow organisms to produce essential metabolites from the available nutrients in an environment, frequently requiring metabolic exchanges among co-inhabiting organisms. Here, we applied genomic-based simulations for exploring tri-trophic interactions among the sap-feeding insect whitefly (Bemisia tabaci), its host-plants, and symbiotic bacteria. The simplicity of this ecosystem allows capturing the interacting organisms (based on genomic data) and the environmental content (based on metabolomics data). Simulations explored the metabolic capacities of insect-symbiont combinations under environments representing natural phloem. Predictions were correlated with experimental data on the dynamics of symbionts under different diets. Simulation outcomes depict a puzzle of three-layer origins (plant-insect-symbionts) for the source of essential metabolites across habitats and stratify interactions enabling the whitefly to feed on diverse hosts. In parallel to simulations, natural and artificial feeding experiments provide supporting evidence for an environment-based effect on symbiont dynamics. Based on simulations, a decrease in the relative abundance of a symbiont can be associated with a loss of fitness advantage due to an environmental excess in amino-acids whose production in a deprived environment used to depend on the symbiont. The study demonstrates that genomic-based predictions can bridge environment and community dynamics and guide the design of symbiont manipulation strategies.
(© The Author(s) 2021. Published by Oxford University Press on behalf of FEMS. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
