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Mannochio-Russo H, Swift SOI, Nakayama KK, Wall CB, Gentry EC, Panitchpakdi M, Caraballo-Rodriguez AM, Aron AT, Petras D, Dorrestein K, Dorrestein TK, Williams TM, Nalley EM, Altman-Kurosaki NT, Martinelli M, Kuwabara JY, Darcy JL, Bolzani VS, Wegley Kelly L, Mora C, Yew JY, Amend AS, McFall-Ngai M, Hynson NA, Dorrestein PC, Nelson CE. Microbiomes and metabolomes of dominant coral reef primary producers illustrate a potential role for immunolipids in marine symbioses. Commun Biol 2023; 6:896. [PMID: 37653089 PMCID: PMC10471604 DOI: 10.1038/s42003-023-05230-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 08/08/2023] [Indexed: 09/02/2023] Open
Abstract
The dominant benthic primary producers in coral reef ecosystems are complex holobionts with diverse microbiomes and metabolomes. In this study, we characterize the tissue metabolomes and microbiomes of corals, macroalgae, and crustose coralline algae via an intensive, replicated synoptic survey of a single coral reef system (Waimea Bay, O'ahu, Hawaii) and use these results to define associations between microbial taxa and metabolites specific to different hosts. Our results quantify and constrain the degree of host specificity of tissue metabolomes and microbiomes at both phylum and genus level. Both microbiome and metabolomes were distinct between calcifiers (corals and CCA) and erect macroalgae. Moreover, our multi-omics investigations highlight common lipid-based immune response pathways across host organisms. In addition, we observed strong covariation among several specific microbial taxa and metabolite classes, suggesting new metabolic roles of symbiosis to further explore.
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Affiliation(s)
- Helena Mannochio-Russo
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA.
- Department of Biochemistry and Organic Chemistry, Institute of Chemistry, São Paulo State University, Araraquara, SP, 14800-060, Brazil.
| | - Sean O I Swift
- Daniel K. Inouye Center for Microbial Oceanography: Research and Education, Department of Oceanography and Sea Grant College Program, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA.
| | - Kirsten K Nakayama
- Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Christopher B Wall
- Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
- Ecology Behavior and Evolution Section, Department of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Emily C Gentry
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Morgan Panitchpakdi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Andrés M Caraballo-Rodriguez
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Allegra T Aron
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
- Department of Chemistry and Biochemistry, University of Denver, Denver, CO, 80210, USA
| | - Daniel Petras
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
- Cluster of Excellence "Controlling Microbes to Fight Infections" (CMFI), University of Tuebingen, Tuebingen, Germany
| | - Kathleen Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
| | | | - Taylor M Williams
- Marine Option Program, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Eileen M Nalley
- Hawai'i Sea Grant College Program, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Noam T Altman-Kurosaki
- School of Biological Sciences, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332, USA
| | | | - Jeff Y Kuwabara
- Marine Option Program, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - John L Darcy
- Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Vanderlan S Bolzani
- Department of Biochemistry and Organic Chemistry, Institute of Chemistry, São Paulo State University, Araraquara, SP, 14800-060, Brazil
| | - Linda Wegley Kelly
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, CA, USA
| | - Camilo Mora
- Geography, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Joanne Y Yew
- Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Anthony S Amend
- Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Margaret McFall-Ngai
- Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Nicole A Hynson
- Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Craig E Nelson
- Daniel K. Inouye Center for Microbial Oceanography: Research and Education, Department of Oceanography and Sea Grant College Program, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
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Fu S, Ma Y, Yao H, Xu Z, Chen S, Song J, Au KF. IDP-denovo: de novo transcriptome assembly and isoform annotation by hybrid sequencing. Bioinformatics 2018; 34:2168-2176. [PMID: 29905763 PMCID: PMC6022631 DOI: 10.1093/bioinformatics/bty098] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 02/10/2018] [Accepted: 02/21/2018] [Indexed: 12/24/2022] Open
Abstract
Motivation In the past years, the long read (LR) sequencing technologies, such as Pacific Biosciences and Oxford Nanopore Technologies, have been demonstrated to substantially improve the quality of genome assembly and transcriptome characterization. Compared to the high cost of genome assembly by LR sequencing, it is more affordable to generate LRs for transcriptome characterization. That is, when informative transcriptome LR data are available without a high-quality genome, a method for de novo transcriptome assembly and annotation is of high demand. Results Without a reference genome, IDP-denovo performs de novo transcriptome assembly, isoform annotation and quantification by integrating the strengths of LRs and short reads. Using the GM12878 human data as a gold standard, we demonstrated that IDP-denovo had superior sensitivity of transcript assembly and high accuracy of isoform annotation. In addition, IDP-denovo outputs two abundance indices to provide a comprehensive expression profile of genes/isoforms. IDP-denovo represents a robust approach for transcriptome assembly, isoform annotation and quantification for non-model organism studies. Applying IDP-denovo to a non-model organism, Dendrobium officinale, we discovered a number of novel genes and novel isoforms that were not reported by the existing annotation library. These results reveal the high diversity of gene isoforms in D.officinale, which was not reported in the existing annotation library. Availability and implementation The dataset of Dendrobium officinale used/analyzed during the current study has been deposited in SRA, with accession code SRP094520. IDP-denovo is available for download at www.healthcare.uiowa.edu/labs/au/IDP-denovo/. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Shuhua Fu
- Department of Internal Medicine, University of Iowa, Iowa City, USA
| | - Yingke Ma
- Department of Internal Medicine, University of Iowa, Iowa City, USA
| | - Hui Yao
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Zhichao Xu
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Shilin Chen
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jingyuan Song
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Kin Fai Au
- Department of Internal Medicine, University of Iowa, Iowa City, USA
- Department of Biostatistics, University of Iowa, Iowa City, USA
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Grasis JA. The Intra-Dependence of Viruses and the Holobiont. Front Immunol 2017; 8:1501. [PMID: 29170664 PMCID: PMC5684104 DOI: 10.3389/fimmu.2017.01501] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2017] [Accepted: 10/24/2017] [Indexed: 12/30/2022] Open
Abstract
Animals live in symbiosis with the microorganisms surrounding them. This symbiosis is necessary for animal health, as a symbiotic breakdown can lead to a disease state. The functional symbiosis between the host, and associated prokaryotes, eukaryotes, and viruses in the context of an environment is the holobiont. Deciphering these holobiont associations has proven to be both difficult and controversial. In particular, holobiont association with viruses has been of debate even though these interactions have been occurring since cellular life began. The controversy stems from the idea that all viruses are parasitic, yet their associations can also be beneficial. To determine viral involvement within the holobiont, it is necessary to identify and elucidate the function of viral populations in symbiosis with the host. Viral metagenome analyses identify the communities of eukaryotic and prokaryotic viruses that functionally associate within a holobiont. Similarly, analyses of the host in response to viral presence determine how these interactions are maintained. Combined analyses reveal how viruses interact within the holobiont and how viral symbiotic cooperation occurs. To understand how the holobiont serves as a functional unit, one must consider viruses as an integral part of disease, development, and evolution.
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Affiliation(s)
- Juris A Grasis
- Department of Biology, San Diego State University, San Diego, CA, United States.,School of Natural Sciences, University of California at Merced, Merced, CA, United States
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Quistad SD, Lim YW, Silva GGZ, Nelson CE, Haas AF, Kelly LW, Edwards RA, Rohwer FL. Using viromes to predict novel immune proteins in non-model organisms. Proc Biol Sci 2016; 283:20161200. [PMID: 27581878 PMCID: PMC5013795 DOI: 10.1098/rspb.2016.1200] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 08/04/2016] [Indexed: 12/18/2022] Open
Abstract
Immunity is mostly studied in a few model organisms, leaving the majority of immune systems on the planet unexplored. To characterize the immune systems of non-model organisms alternative approaches are required. Viruses manipulate host cell biology through the expression of proteins that modulate the immune response. We hypothesized that metagenomic sequencing of viral communities would be useful to identify both known and unknown host immune proteins. To test this hypothesis, a mock human virome was generated and compared to the human proteome using tBLASTn, resulting in 36 proteins known to be involved in immunity. This same pipeline was then applied to reef-building coral, a non-model organism that currently lacks traditional molecular tools like transgenic animals, gene-editing capabilities, and in vitro cell cultures. Viromes isolated from corals and compared with the predicted coral proteome resulted in 2503 coral proteins, including many proteins involved with pathogen sensing and apoptosis. There were also 159 coral proteins predicted to be involved with coral immunity but currently lacking any functional annotation. The pipeline described here provides a novel method to rapidly predict host immune components that can be applied to virtually any system with the potential to discover novel immune proteins.
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Affiliation(s)
- Steven D Quistad
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego 92182, USA
| | - Yan Wei Lim
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego 92182, USA
| | - Genivaldo Gueiros Z Silva
- Computational Science Research Center, San Diego State University, 5500 Campanile Drive, San Diego 92182, USA
| | - Craig E Nelson
- Center for Microbial Oceanography: Research and Education, Department of Oceanography and Sea Grant College Program, School of Ocean and Earth Science and Technology, University of Hawai'i at Mānoa, HI 96822, USA
| | - Andreas F Haas
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego 92182, USA
| | - Linda Wegley Kelly
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego 92182, USA
| | - Robert A Edwards
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego 92182, USA Computational Science Research Center, San Diego State University, 5500 Campanile Drive, San Diego 92182, USA Department of Computer Science, San Diego State University, 5500 Campanile Drive, San Diego 92182, USA
| | - Forest L Rohwer
- Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego 92182, USA
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