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Combing Transcriptomes for Secrets of Deep-Sea Survival: Environmental Diversity Drives Patterns of Protein Evolution.

J R Winnikoff | W R Francis | E V Thuesen | S H D Haddock
Integrative and comparative biology | 2019

Ctenophores, also known as comb jellies, live across extremely broad ranges of temperature and hydrostatic pressure in the ocean. Because various ctenophore lineages adapted independently to similar environmental conditions, Phylum Ctenophora is an ideal system for the study of protein adaptation to extreme environments in a comparative framework. We present such a study here, using a phylogenetically-informed method to compare sequences of four essential metabolic enzymes across gradients of habitat depth and temperature. This method predicts convergent adaptation to these environmental parameters at the amino acid level, providing a novel view of protein adaptation to extreme environments and demonstrating the power and relevance of phylogenetic comparison applied to multi-species transcriptomic datasets from early-diverging metazoa. Across all four enzymes analyzed, 46 amino acid sites were associated with depth-adaptation, 59 with temperature-adaptation, and 56 with both. Sites predicted to be depth- and temperature-adaptive occurred consistently near Rossmann fold cofactor binding motifs and disproportionately in solvent-exposed regions of the protein. These results suggest that the hydrophobic effect and ligand binding may mediate efficient enzyme function at different hydrostatic pressures and temperatures. Using predicted adaptive site maps, such mechanistic hypotheses can now be tested via mutagenesis.

Pubmed ID: 31141128

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Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM087198

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This is a list of tools and resources that we have found mentioned in this publication.


RAxML (tool)

RRID:SCR_006086

Software program for phylogenetic analyses of large datasets under maximum likelihood.

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Trinity (tool)

RRID:SCR_013048

Software for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data.

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I-TASSER (tool)

RRID:SCR_014627

Web server as integrated platform for automated protein structure and function prediction. Used for protein 3D structure prediction. Resource for automated protein structure prediction and structure-based function annotation.

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