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Venom tradeoff shapes interspecific interactions, physiology and reproduction

ABSTRACT: An animal’s ability to effectively capture prey and defend against predators is pivotal to its survival1. A key innovation in many predator-prey interactions is venom, which consists of many toxin proteins that shape its phenotype2. Its unusually direct relationship of gene-toxin-phenotype make it an appealing system for studies at the organismal level 3,4. In this work we use the sea anemone Nematostella vectensis as a model organism as it provides us with the opportunity to test for the first time how toxin-genotypes impact predator-prey interactions. Specifically, we compare a native-population5 and a transgenic line which both have significantly reduced levels of Nv1, the major toxin in adult Nematostella6, to animals with wildtype levels of Nv1. We demonstrate that the transgenic strain phenocopies native anemones lacking Nv1 as they both have impaired ability to defend themselves against grass shrimp, a native predator. Mummichog killifish, unexpectedly are attracted to Nematostella with wildtype-levels of Nv1, highlighting that Nv1 plays a complex role in shaping interspecific-interactions. Finally, we demonstrate an evolutionary tradeoff as the reduction of Nv1 levels causes faster growth and increased reproductive rates compared to Nematostella control lines. Overall, our results experimentally link organism’s venom to its physiology, reproduction and interspecific interactions.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Nematostella Vectensis

SUBMITTER: joachim surm

LAB HEAD: Joachim Surm

PROVIDER: PXD043484 | Pride | 2023-12-31

REPOSITORIES: Pride

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Project description:This is the reduced model described in the article: A synthetic Escherichia coli predator–prey ecosystem Balagaddé FK, Song H, Ozaki J, Collins CH, Barnet M, Arnold FH, Quake SR, You L.Mol Syst Biol. 2008;4:187. Epub 2008 Apr 15. PMID: 18414488; DOI:10.1038/msb.2008.24 Abstract: We have constructed a synthetic ecosystem consisting of two Escherichia coli populations, which communicate bi-directionally through quorum sensing and regulate each other's gene expression and survival via engineered gene circuits. Our synthetic ecosystem resembles canonical predator–prey systems in terms of logic and dynamics. The predator cells kill the prey by inducing expression of a killer protein in the prey, while the prey rescue the predators by eliciting expression of an antidote protein in the predator. Extinction, coexistence and oscillatory dynamics of the predator and prey populations are possible depending on the operating conditions as experimentally validated by long-term culturing of the system in microchemostats. A simple mathematical model is developed to capture these system dynamics. Coherent interplay between experiments and mathematical analysis enables exploration of the dynamics of interacting populations in a predictable manner. In the article the cell density is given in per 103 cells per microlitre. To evade a conversion factor in the SBML implementation, the unit for the cell densities was just left the same as for the AHLs A and A2 (nM). This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2012 The BioModels.net Team. For more information see the terms of use. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

			Action	DRS
	20230517-J1-32.raw	Raw
	NVe.fasta	Fasta
	checksum.txt	Txt
	proteinGroups.txt	Txt

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Venom tradeoff shapes interspecific interactions, physiology and reproduction

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