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

      Composition and toxicity of venom produced by araneophagous white-tailed spiders (Lamponidae: Lampona sp.)

      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

          Prey-specialised spiders are adapted to capture specific prey items, including dangerous prey. The venoms of specialists are often prey-specific and less complex than those of generalists, but their venom composition has not been studied in detail. Here, we investigated the venom of the prey-specialised white-tailed spiders (Lamponidae: Lampona), which utilise specialised morphological and behavioural adaptations to capture spider prey. We analysed the venom composition using proteo-transcriptomics and taxon-specific toxicity using venom bioassays. Our analysis identified 208 putative toxin sequences, comprising 103 peptides < 10 kDa and 105 proteins > 10 kDa. Most peptides belonged to one of two families characterised by scaffolds containing eight or ten cysteine residues. Toxin-like proteins showed similarity to galectins, leucine-rich repeat proteins, trypsins and neprilysins. The venom of Lampona was shown to be more potent against the preferred spider prey than against alternative cricket prey. In contrast, the venom of a related generalist was similarly potent against both prey types. These data provide insights into the molecular adaptations of venoms produced by prey-specialised spiders.

          Related collections

          Most cited references70

          • 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

            Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

            S Altschul (1997)
            The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Trinity: reconstructing a full-length transcriptome without a genome from RNA-Seq data

              Massively-parallel cDNA sequencing has opened the way to deep and efficient probing of transcriptomes. Current approaches for transcript reconstruction from such data often rely on aligning reads to a reference genome, and are thus unsuitable for samples with a partial or missing reference genome. Here, we present the Trinity methodology for de novo full-length transcriptome reconstruction, and evaluate it on samples from fission yeast, mouse, and whitefly – an insect whose genome has not yet been sequenced. Trinity fully reconstructs a large fraction of the transcripts present in the data, also reporting alternative splice isoforms and transcripts from recently duplicated genes. In all cases, Trinity performs better than other available de novo transcriptome assembly programs, and its sensitivity is comparable to methods relying on genome alignments. Our approach provides a unified and general solution for transcriptome reconstruction in any sample, especially in the complete absence of a reference genome.
                Bookmark

                Author and article information

                Contributors
                michalek.ondrej@mail.muni.cz
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 December 2022
                14 December 2022
                2022
                : 12
                : 21597
                Affiliations
                [1 ]GRID grid.10267.32, ISNI 0000 0001 2194 0956, Department of Botany and Zoology, Faculty of Science, , Masaryk University, ; Kotlářská 2, 611 37 Brno, Czech Republic
                [2 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Institute for Molecular Bioscience, , The University of Queensland, ; St. Lucia, QLD 4072 Australia
                [3 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, , The University of Queensland, ; St. Lucia, QLD 4072 Australia
                [4 ]GRID grid.10267.32, ISNI 0000 0001 2194 0956, Research Group Proteomics, Mendel Centre for Plant Genomics and Proteomics, Central European Institute of Technology, , Masaryk University, ; Kamenice 5, 625 00 Brno, Czech Republic
                [5 ]GRID grid.10267.32, ISNI 0000 0001 2194 0956, Faculty of Science, National Centre for Biomolecular Research, , Masaryk University, ; Kamenice 5, 625 00 Brno, Czech Republic
                Article
                24694
                10.1038/s41598-022-24694-5
                9751281
                36517485
                88aea31d-bc91-46bf-9990-de2d443dfabf
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 March 2022
                : 18 November 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000921, European Cooperation in Science and Technology;
                Award ID: E-COST-GRANT-CA19144-7dc9bfbd
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010665, H2020 Marie Skłodowska-Curie Actions;
                Award ID: 101031131
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000923, Australian Research Council;
                Award ID: DP200102867
                Award ID: CE200100012
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001823, Ministerstvo Školství, Mládeže a Tělovýchovy;
                Award ID: LM2018127
                Award ID: LM2018127
                Award Recipient :
                Funded by: Australian National Health & Medical Research Council
                Award ID: APP1136889
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                proteomics,transcriptomics,ecology
                Uncategorized
                proteomics, transcriptomics, ecology

                Comments

                Comment on this article