Data

Data from: Common coral cultivation techniques can produce abundant chimeras

James Cook University
Smith, Hillary
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/8rn9-2p05&rft.title=Data from: Common coral cultivation techniques can produce abundant chimeras&rft.identifier=10.25903/8rn9-2p05&rft.publisher=James Cook University&rft.description=The prevalence and persistence of chimeras in aquaculture-based coral restoration efforts is poorly resolved. Aquaculture-propagated coral spat were settled on coral seeding devices and deployed in the field for approximately two years. Upon retrieval of seeding devices, triplicate tissue samples were collected from each of 114 coral colonies, and we undertook SNP analysis using reduced-representation sequencing. Coral samples (12-15 mg; total n = 373; n = 343 triplicates from 22-month-old survivors; n = 16 eggs; n = 14 pooled sperm samples; noting that 152 eggs were sent for sequencing but DNA quantity was insufficient to proceed for all but 16) were sent to Diversity Arrays Technology Pty Ltd. (DArT, Canberra, Australia) for DNA extraction and genotyping of single nucleotide polymorphisms (SNPs). Genomic DNA was extracted following DArT proprietary protocols (Kilian et al. 2012) and sequenced using DArTseqTM, a combination of genome complexity reduction methods followed by fragment sequencing with the Illumina HiSeq 2500 next-generation sequencing platforms (Kilian et al., 2012). Sequencing data were returned pre-processed by a DArT proprietary pipeline in a scored format (0 for homozygous reference allele, 1 for homozygous alternate allele, 2 for heterozygous). Software/equipment used to manipulate/analyse the data: SNP filtering and statistical analysis was conducted in R (version 2026.01.0+392). The R script is attached to this data record. &rft.creator=Smith, Hillary &rft.date=2026&rft.relation=TBC&rft.coverage=&rft_rights=&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=coral &rft_subject=chimera&rft_subject=chimerism&rft_subject=aquaculture&rft_subject=Genetics not elsewhere classified&rft_subject=Genetics&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Rehabilitation or conservation of marine environments&rft_subject=Marine systems and management&rft_subject=ENVIRONMENTAL MANAGEMENT&rft.type=dataset&rft.language=English Access the data

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The prevalence and persistence of chimeras in aquaculture-based coral restoration efforts is poorly resolved. Aquaculture-propagated coral spat were settled on coral seeding devices and deployed in the field for approximately two years. Upon retrieval of seeding devices, triplicate tissue samples were collected from each of 114 coral colonies, and we undertook SNP analysis using reduced-representation sequencing. Coral samples (12-15 mg; total n = 373; n = 343 triplicates from 22-month-old survivors; n = 16 eggs; n = 14 pooled sperm samples; noting that 152 eggs were sent for sequencing but DNA quantity was insufficient to proceed for all but 16) were sent to Diversity Arrays Technology Pty Ltd. (DArT, Canberra, Australia) for DNA extraction and genotyping of single nucleotide polymorphisms (SNPs). Genomic DNA was extracted following DArT proprietary protocols (Kilian et al. 2012) and sequenced using DArTseqTM, a combination of genome complexity reduction methods followed by fragment sequencing with the Illumina HiSeq 2500 next-generation sequencing platforms (Kilian et al., 2012). Sequencing data were returned pre-processed by a DArT proprietary pipeline in a scored format (0 for homozygous reference allele, 1 for homozygous alternate allele, 2 for heterozygous). Software/equipment used to manipulate/analyse the data: SNP filtering and statistical analysis was conducted in R (version 2026.01.0+392). The R script is attached to this data record.

Created: 11 10 2026

Data time period: 11 10 2021 to 31 08 2023

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Identifiers
  • DOI : 10.25903/8RN9-2P05
  • Local : researchdata.jcu.edu.au//published/28b4ea00b56711f1aa0d4b3f5f856897
ACN 633 798 857