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Marine sponge Haliclona fulva hologenome sequences - total contigs assembled

<p>Dataset (multifasta) of DNA&nbsp;contig sequences assembled from Illumina metagenomic reads of Haliclona fulva hologenome. The sequences analyses are described in the peer-reviewed article at https://doi.org/10.3389/fmars.2021.736817 entitled: &quot;The Hologenome of Haliclona fulva (Porifera, Demospongiae) Reveals an Abundant and Diverse Viral Community&quot; by<br> Erika Garc&iacute;a-Bonilla1,2&dagger;, Diego Chaves-Moreno3&dagger;, Diego Ria&ntilde;o-Pach&oacute;n4, Wilson Ter&aacute;n5, Alberto Acosta1 and Howard Junca2*<br> 1Laboratorio Ecosistemas Marinos Estrat&eacute;gicos, Unidad de Ecolog&iacute;a y Sistem&aacute;tica - UNESIS, Facultad de Ciencias - Departamento de Biolog&iacute;a, Pontificia Universidad Javeriana, Bogot&aacute;, Colombia<br> 2RG Microbial Ecology: Metabolism, Genomics &amp; Evolution, Division of Ecogenomics &amp; Holobionts, Microbiomas Foundation, Ch&iacute;a, Colombia<br> 3Microbial Interactions and Processes Research Group, Helmholtz Centre for Infection Research, Braunschweig, Germany<br> 4Laborat&oacute;rio de Biologia Computacional, Evolutiva e de Sistemas, Centro de Energ&iacute;a Nuclear na Agricultura, Universidade de S&atilde;o Paulo, Piracicaba, Brazil<br> 5Biolog&iacute;a de Plantas y Sistemas Productivos, Departamento de Biolog&iacute;a, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogot&aacute;, Colombia</p> <p>&quot;Sample Collection</p> <p>Three specimens of&nbsp;<em>H. fulva</em>&nbsp;(HF1, HF2, and HF3) were collected by SCUBA diving in the Mediterranean Sea at the Grotte du Lido, in the bay of Villefranche-sur-Mer, France (latitude: 43&deg; 41&prime; 31.49&Prime; N; longitude: 7&deg; 19&prime; 12.19&Prime; E) at 35 m depth. After collection, all individual samples were placed in independent plastic bags. They were preserved in ethanol 70% (v/v) and stored at &minus;20&deg;C until further analysis. The samples were selected based on the findings of our previous study (<a href="https://www.frontiersin.org/articles/10.3389/fmars.2021.736817/full#B11">Garc&iacute;a-Bonilla et al., 2019</a>) and are coming from exactly the same spots and colonies/specimens analyzed regarding microbiome content by 16S amplicons, showing a stable and consistent microbial composition of low microbial abundance and diversity.</p> <p>DNA Extraction and Sequencing</p> <p>Metagenomic DNA was extracted from 15 g sponge wet weight using a MagAttract<sup>&reg;</sup>&nbsp;HMW DNA kit (Qiagen, Germany) following the manufacturer&rsquo;s instructions. Tissue lysis was made for 16 h according to protocol. Extracted DNA was eluted with 50 &mu;l water, and its concentration determined by fluorescence using the Qubit<sup>&reg;</sup>&nbsp;dsDNA BR assay kit (Thermo Fisher Scientific). Nucleic acid integrity was verified by 0.8% agarose gel electrophoresis. Sponge DNA extracts were used as template to perform isothermal multiple displacement hologenome amplification with a phi29 polymerase of high processivity and fidelity in order to increase total DNA concentrations (<a href="https://www.frontiersin.org/articles/10.3389/fmars.2021.736817/full#B36">Lasken, 2007</a>) and to avoid the effect of coextracted enzymatic inhibitors detected in&nbsp;<em>H. fulva</em>, improving further downstream processes (library construction and sequencing). The amplification process was made using REPLI-g Mini kit (Qiagen, Germany), according to manufacturer&rsquo;s recommendations. Briefly, samples were incubated at 30&deg;C for 11 h followed by 3 min at 65&deg;C for polymerase inactivation. For all assays, a negative control was run to evaluate the presence of contaminants during amplification. Quantity and quality of DNA was measured as described previously.</p> <p>Genomic libraries were constructed using TruSeq DNA PCR free kit (Illumina, United States). Shotgun hologenome sequencing was performed using paired-end Illumina technology (Macrogen, South Korea). The complete raw sequencing data obtained is publicly accessible at NCBI GenBank SRA under Bioproject PRJNA741981.</p> <p>Raw Data Processing and Assembly</p> <p>An initial filtering of the sequencing reads was done after visual evaluation using FastQC (v.0.11.8) consisting of a quality and length-based filtering performed with Trimmomatic (v.0.31). Filtered and processed reads were assembled using Megahit (v.1.0) (<a href="https://www.frontiersin.org/articles/10.3389/fmars.2021.736817/full#B37">Li et al., 2014</a>) and IDBA-UD (<a href="https://www.frontiersin.org/articles/10.3389/fmars.2021.736817/full#B46">Peng et al., 2012</a>) with default parameters. To compare, identify and join overlaps between reads from each assembly, we used minimus2 from the AMOS suite with default parameters (<a href="https://www.frontiersin.org/articles/10.3389/fmars.2021.736817/full#B65">Treangen et al., 2011</a>). Obtained contigs were filtered and those &lt;500 bp were removed.&quot;</p> <p>&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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