Genomic, transcriptomic, and proteomic insights into the symbiosis of deep-sea tubeworm holobionts

Yi Yang, Jin Sun, Yanan Sun, Yick Hang Kwan, Wai Chuen Wong, Yanjie Zhang, Ting Xu, Dong Feng, Yu Zhang, Jianwen QIU*, Pei Yuan Qian*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

41 Citations (Scopus)

Abstract

Deep-sea hydrothermal vents and methane seeps are often densely populated by animals that host chemosynthetic symbiotic bacteria, but the molecular mechanisms of such host-symbiont relationship remain largely unclear. We characterized the symbiont genome of the seep-living siboglinid Paraescarpia echinospica and compared seven siboglinid-symbiont genomes. Our comparative analyses indicate that seep-living siboglinid endosymbionts have more virulence traits for establishing infections and modulating host-bacterium interaction than the vent-dwelling species, and have a high potential to resist environmental hazards. Metatranscriptome and metaproteome analyses of the Paraescarpia holobiont reveal that the symbiont is highly versatile in its energy use and efficient in carbon fixation. There is close cooperation within the holobiont in production and supply of nutrients, and the symbiont may be able to obtain nutrients from host cells using virulence factors. Moreover, the symbiont is speculated to have evolved strategies to mediate host protective immunity, resulting in weak expression of host innate immunity genes in the trophosome. Overall, our results reveal the interdependence of the tubeworm holobiont through mutual nutrient supply, a pathogen-type regulatory mechanism, and host-symbiont cooperation in energy utilization and nutrient production, which is a key adaptation allowing the tubeworm to thrive in deep-sea chemosynthetic environments.

Original languageEnglish
Pages (from-to)135-150
Number of pages16
JournalISME Journal
Volume14
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

Scopus Subject Areas

  • Microbiology
  • Ecology, Evolution, Behavior and Systematics

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