4
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      High-quality genome assembles from key Hawaiian coral species

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Coral reefs house about 25% of marine biodiversity and are critical for the livelihood of many communities by providing food, tourism revenue, and protection from wave surge. These magnificent ecosystems are under existential threat from anthropogenic climate change. Whereas extensive ecological and physiological studies have addressed coral response to environmental stress, high-quality reference genome data are lacking for many of these species. The latter issue hinders efforts to understand the genetic basis of stress resistance and to design informed coral conservation strategies.

          Results

          We report genome assemblies from 4 key Hawaiian coral species, Montipora capitata, Pocillopora acuta, Pocillopora meandrina, and Porites compressa. These species, or members of these genera, are distributed worldwide and therefore of broad scientific and ecological importance. For M. capitata, an initial assembly was generated from short-read Illumina and long-read PacBio data, which was then scaffolded into 14 putative chromosomes using Omni-C sequencing. For P. acuta, P. meandrina, and P. compressa, high-quality assemblies were generated using short-read Illumina and long-read PacBio data. The P. acuta assembly is from a triploid individual, making it the first reference genome of a nondiploid coral animal.

          Conclusions

          These assemblies are significant improvements over available data and provide invaluable resources for supporting multiomics studies into coral biology, not just in Hawaiʻi but also in other regions, where related species exist. The P. acuta assembly provides a platform for studying polyploidy in corals and its role in genome evolution and stress adaptation in these organisms.

          Related collections

          Most cited references63

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            STAR: ultrafast universal RNA-seq aligner.

            Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Cutadapt removes adapter sequences from high-throughput sequencing reads

                Bookmark

                Author and article information

                Contributors
                Journal
                Gigascience
                Gigascience
                gigascience
                GigaScience
                Oxford University Press
                2047-217X
                09 November 2022
                2022
                09 November 2022
                : 11
                : giac098
                Affiliations
                Department of Biochemistry and Microbiology, Rutgers University , New Brunswick, NJ 08901, USA
                Department of Oceanography, Kyungpook National University , Daegu, Buk-gu 41566, Korea
                Department of Oceanography, Kyungpook National University , Daegu, Buk-gu 41566, Korea
                Department of Biological Sciences, Sungkyunkwan University , Suwon 16419, Korea
                Department of Biological Sciences, University of Rhode Island , Kingston, RI 02881, USA
                Hawaiʻi Institute of Marine Biology , Kāneʻohe, HI 96744, USA
                Department of Biochemistry and Microbiology, Rutgers University , New Brunswick, NJ 08901, USA
                Author notes
                Correspondence address. Timothy G. Stephens, 59 Dudley Road, Foran Hall 102, New Brunswick, New Jersey, 08901 USA. E-mail: ts942@ 123456sebs.rutgers.edu
                Author information
                https://orcid.org/0000-0003-1554-7175
                https://orcid.org/0000-0002-5610-543X
                https://orcid.org/0000-0003-3097-7747
                https://orcid.org/0000-0001-9507-0105
                https://orcid.org/0000-0003-2322-3269
                https://orcid.org/0000-0001-7815-7890
                https://orcid.org/0000-0003-0611-1273
                Article
                giac098
                10.1093/gigascience/giac098
                9646523
                36352542
                58ed089f-c21b-4694-846a-6341aa194839
                © The Author(s) 2022. Published by Oxford University Press GigaScience.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 June 2022
                : 11 August 2022
                : 22 September 2022
                Page count
                Pages: 12
                Funding
                Funded by: National Science Foundation, DOI 10.13039/100000001;
                Award ID: NSF-OCE 1756616
                Funded by: Catalyst Science Fund;
                Award ID: 2020–008
                Funded by: U.S. Department of Agriculture, DOI 10.13039/100000199;
                Categories
                Data Note
                AcademicSubjects/SCI00960
                AcademicSubjects/SCI02254

                coral,scleractinia,montipora capitata,pocillopora acuta,pocillopora meandrina,porites compressa,chromosome-level genome assembly,ploidy,triploid

                Comments

                Comment on this article