Genomic diversification of the specialized parasite of the fungus-growing ant symbiosis

Kirsten Gotting, Daniel S. May, Jeffrey Sosa-Calvo, Lily Khadempour, Charlotte B. Francoeur, Aileen Berasategui, Margaret W. Thairu, Shelby Sandstrom, Caitlin M. Carlson, Marc G. Chevrette, Mônica T. Pupo, Tim S. Bugni, Ted R. Schultz, J. Spencer Johnston, Nicole M. Gerardo, Cameron R. Currie

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Fungi shape the diversity of life. Characterizing the evolution of fungi is critical to understanding symbiotic associations across kingdoms. In this study, we investigate the genomic and metabolomic diversity of the genus Escovopsis, a specialized parasite of fungus-growing ant gardens. Based on 25 high-quality draft genomes, we show that Escovopsis forms a monophyletic group arising from a mycoparasitic fungal ancestor 61.82 million years ago (Mya). Across the evolutionary history of fungus-growing ants, the dates of origin of most clades of Escovopsis correspond to the dates of origin of the fungus-growing ants whose gardens they parasitize. We reveal that genome reduction, determined by both genomic sequencing and flow cytometry, is a consistent feature across the genus Escovopsis, largely occurring in coding regions, specifically in the form of gene loss and reductions in copy numbers of genes. All functional gene categories have reduced copy numbers, but resistance and virulence genes maintain functional diversity. Biosynthetic gene clusters (BGCs) contribute to phylogenetic differences among Escovopsis spp., and sister taxa in the Hypocreaceae. The phylogenetic patterns of co-diversification among BGCs are similarly exhibited across mass spectrometry analyses of the metabolomes of Escovopsis and their sister taxa. Taken together, our results indicate that Escovopsis spp. evolved unique genomic repertoires to specialize on the fungus-growing ant-microbe symbiosis.
Original languageEnglish
Article numbere2213096119
JournalProceedings of the National Academy of Sciences of the United States of America
Volume119
Issue number51
DOIs
Publication statusPublished - 20 Dec 2022
Externally publishedYes

Funding

ACKNOWLEDGMENTS. We are grateful to Reed Stubbendieck and Donny Hoang for comments on the manuscript. We thank Heidi Horn, Camila Carlos, Weilan Gomes de Paixão Melo, and Quimi Vidaurre Montoya for their work on the ICBG collections. We acknowledge the Programming for Biology course at Cold Spring Harbor and the course instructors Sofia M. Robb and Simon Prochnik, as well as Eric J. Ross and Jessen V. Bredeson for bioinformatic advice. This material is based on work supported in part by NIH grant U19 TW009872, NIH grant U19 AI142720, and NSF grant DEB-1927155, and São Paulo Research Foundation (FAPESP) grant #2013/50954-0. T.R.S. and J.S.C. were supported by NSF award DEB 1927161.A.B.was supported by the German Research Foundation by Germany’s Excellence Strategy-EXC2124-390838134, projects 09.030 and BE 6922/1-1.

FundersFunder number
National Science FoundationDEB-1927155
National Institutes of HealthU19 AI142720
Fogarty International CenterU19TW009872
Deutsche ForschungsgemeinschaftStrategy-EXC2124-390838134, 09.030, BE 6922/1-1
Fundação de Amparo à Pesquisa do Estado de São PauloDEB 1927161, 2013/50954-0

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