Data

Data from: Destabilization of mutualistic interactions shapes the early heat stress response of the coral holobiont

James Cook University
Marangon, Emma ; Li, Joan ; Webster, Nicole ; Bourne, David ; Laffy, Patrick
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/c5j3-1p16&rft.title=Data from: Destabilization of mutualistic interactions shapes the early heat stress response of the coral holobiont&rft.identifier=10.25903/c5j3-1p16&rft.publisher=James Cook University&rft.description=Background: This study explores the stability of the symbiotic relationship between coral and their dinoflagellate algae (Symbiodiniaceae) under increasing heat stress. In a 2-month manipulative experiment, the thermotolerant coral Porites lutea was exposed to increasing temperatures, from 28˚C to 32˚C (0 – 8 Degree Heating Weeks, DHW), and the stability of the host-symbiont relationship was assessed through coral and Symbiodiniaceae transcriptomics, microbial 16S rRNA gene sequencing and physiological measurements.  The data record contains: link to the NCBI BioProject containing raw sequence data generated from 16S rRNA gene sequencing (PRJNA1050834) link to the NCBI BioProject containing raw sequence data generated from mRNA sequencing (PRJNA1050834) one csv file with the coral Health score used in the analyses one csv file with the photosynthesis and respiration data one csv file with the Symbiodiniaceae photochemical effective efficiency data link to the GitHub repository with the R scripts generated for the analyses Software/equipment used to create/collect the data:  16S rRNA amplification (515F-806rB primers) of gDNA from coral (Porites lutea) and seawater samples; Illumina MiSeq sequencing (2x250 bp). RNA sequencing from coral samples; NovaSeq 6000 S2 (2 x 100 bp) health score assessment over time using the CoralWatch Coral Health Chart (Siebeck et al 2006) measures of net photosynthesis and respiration rates over time by assessing oxygen concentration using an Optical probe after placing corals in 600 mL plastic chambers for 50-min incubation under light conditions (130 µmol photons m−2 s−1) and 75-min incubation in dark conditions, respectively. measures of photochemical effective efficiency over time using a mini-PAM fluorometer (Walz, Germany; settings: MI = 4; SI = 8; SW = 0.8; G=2; D=2)  Software/equipment used to manipulate/analyse the data:  amplicon paired-end reads were analysed in QIIME 2 (v2020.8), and output data were imported and analysed in R (v 4.0.3). reference-based transcirptomics was applied using the RNA-seq aligner STAR, and output data were imported and analysed in R (v 4.0.3). physiological measures were analysed in R (v 4.0.3). &rft.creator=Marangon, Emma &rft.creator=Li, Joan &rft.creator=Webster, Nicole &rft.creator=Bourne, David &rft.creator=Laffy, Patrick &rft.date=2024&rft.coverage=Great Barrier Reef, Australia &rft_rights=&rft_rights=CC BY-SA 4.0: Attribution-Share Alike 4.0 International http://creativecommons.org/licenses/by-sa/4.0&rft_subject=Coral&rft_subject=Heat stress&rft_subject=Stress intensity&rft_subject=Symbiodiniaceae&rft_subject= Microbiome&rft_subject=Gene expression profiling&rft_subject=Transcriptomics&rft_subject=Physiology&rft_subject=Holobiont&rft_subject=Symbiosis&rft_subject=Ecological impacts of climate change and ecological adaptation&rft_subject=Climate change impacts and adaptation&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Microbial ecology&rft_subject=Microbiology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Gene expression (incl. microarray and other genome-wide approaches)&rft_subject=Genetics&rft_subject=Adaptation to climate change not elsewhere classified&rft_subject=Adaptation to climate change&rft_subject=ENVIRONMENTAL POLICY, CLIMATE CHANGE AND NATURAL HAZARDS&rft.type=dataset&rft.language=English Access the data
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Background: This study explores the stability of the symbiotic relationship between coral and their dinoflagellate algae (Symbiodiniaceae) under increasing heat stress. In a 2-month manipulative experiment, the thermotolerant coral Porites lutea was exposed to increasing temperatures, from 28˚C to 32˚C (0 – 8 Degree Heating Weeks, DHW), and the stability of the host-symbiont relationship was assessed through coral and Symbiodiniaceae transcriptomics, microbial 16S rRNA gene sequencing and physiological measurements. 

The data record contains:

  • link to the NCBI BioProject containing raw sequence data generated from 16S rRNA gene sequencing (PRJNA1050834)
  • link to the NCBI BioProject containing raw sequence data generated from mRNA sequencing (PRJNA1050834)
  • one csv file with the coral Health score used in the analyses
  • one csv file with the photosynthesis and respiration data
  • one csv file with the Symbiodiniaceae photochemical effective efficiency data
  • link to the GitHub repository with the R scripts generated for the analyses

Software/equipment used to create/collect the data: 

  • 16S rRNA amplification (515F-806rB primers) of gDNA from coral (Porites lutea) and seawater samples; Illumina MiSeq sequencing (2x250 bp).
  • RNA sequencing from coral samples; NovaSeq 6000 S2 (2 x 100 bp)
  • health score assessment over time using the CoralWatch Coral Health Chart (Siebeck et al 2006)
  • measures of net photosynthesis and respiration rates over time by assessing oxygen concentration using an Optical probe after placing corals in 600 mL plastic chambers for 50-min incubation under light conditions (130 µmol photons m−2 s−1) and 75-min incubation in dark conditions, respectively.
  • measures of photochemical effective efficiency over time using a mini-PAM fluorometer (Walz, Germany; settings: MI = 4; SI = 8; SW = 0.8; G=2; D=2) 

Software/equipment used to manipulate/analyse the data: 

  • amplicon paired-end reads were analysed in QIIME 2 (v2020.8), and output data were imported and analysed in R (v 4.0.3).
  • reference-based transcirptomics was applied using the RNA-seq aligner STAR, and output data were imported and analysed in R (v 4.0.3).
  • physiological measures were analysed in R (v 4.0.3).

Created: 2024-04-03

Data time period: 27 09 2019 to 26 02 2020

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Spatial Coverage And Location

text: Great Barrier Reef, Australia

Subjects
Microbiome | Adaptation to Climate Change | Adaptation to Climate Change Not Elsewhere Classified | Biological Sciences | Climate Change Impacts and Adaptation | Coral | Environmental Policy, Climate Change and Natural Hazards | Environmental Sciences | Ecological Impacts of Climate Change and Ecological Adaptation | Gene Expression (Incl. Microarray and Other Genome-Wide Approaches) | Gene expression profiling | Genetics | Heat stress | Holobiont | Microbial Ecology | Microbiology | Physiology | Stress intensity | Symbiodiniaceae | Symbiosis | Transcriptomics |

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Identifiers
  • DOI : 10.25903/C5J3-1P16
  • Local : researchdata.jcu.edu.au//published/6c4d2420eb2b11ee8988d3e32f708ce2
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