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      DNA metabarcoding assessment of Neotropical ichthyoplankton communities is marker‐dependent

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          Abstract

          The study of ichthyoplankton is paramount to understanding fish assemblages' reproductive dynamics. DNA metabarcoding has been applied as a rapid, cost‐effective, and accurate taxonomy tool, allowing the identification of multiple individuals simultaneously. However, there remain significant challenges when using DNA metabarcoding, such as molecular marker choice according to the taxonomic resolution and length of the fragment to be sequenced, primer bias, incomplete reference databases, and qualitative inference incongruences. Here, 30 ichthyoplankton pools collected from a Neotropical river were identified at a molecular level using DNA metabarcoding to compare the resolution, sensibility, specificity, and relative read abundance (RRA) recovery of three molecular markers: the standard COI fragment (650 pb, with each end analyzed individually) and two short 12S rRNA genes markers (≅200 bp – NeoFish and MiFish markers). The combined use of the three markers increased the genera detection rates by 25%–87.5%, allowing an increased taxonomic coverage and robust taxonomic identification of complex Neotropical ichthyoplankton communities. RRA is marker‐dependent, indicating caution is still needed while inferring species abundance based on DNA metabarcoding data when using PCR‐dependent protocols.

          Abstract

          DNA metabarcoding has been applied as a rapid, cost‐effective, and accurate taxonomy tool, allowing the identification of multiple individuals simultaneously. The combined use of the three markers increased the genera detection rates by 25%–87.5%, allowing an increased taxonomic coverage and robust taxonomic identification of complex Neotropical ichthyoplankton communities. RRA is marker‐dependent, indicating caution is still needed while inferring species abundance based on DNA metabarcoding data when using PCR‐dependent protocols.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              Universal and rapid salt-extraction of high quality genomic DNA for PCR-based techniques.

              A very simple, fast, universally applicable and reproducible method to extract high quality megabase genomic DNA from different organisms is described. We applied the same method to extract high quality complex genomic DNA from different tissues (wheat, barley, potato, beans, pear and almond leaves as well as fungi, insects and shrimps' fresh tissue) without any modification. The method does not require expensive and environmentally hazardous reagents and equipment. It can be performed even in low technology laboratories. The amount of tissue required by this method is approximately 50-100 mg. The quantity and the quality of the DNA extracted by this method is high enough to perform hundreds of PCR-based reactions and also to be used in other DNA manipulation techniques such as restriction digestion, Southern blot and cloning.
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                Author and article information

                Contributors
                danielcarvalho@pucminas.br , carvalho.lgc@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                20 October 2023
                October 2023
                : 13
                : 10 ( doiID: 10.1002/ece3.v13.10 )
                : e10649
                Affiliations
                [ 1 ] Post‐Graduate Program in Vertebrate Biology Pontifical Catholic University of Minas Gerais, PUC Minas Belo Horizonte Brazil
                [ 2 ] Post‐Graduate Program in Genetics Federal University of Minas Gerais Belo Horizonte Brazil
                Author notes
                [*] [* ] Correspondence

                Daniel Cardoso Carvalho, Post‐Graduate Program in Vertebrate Biology, Pontifical Catholic University of Minas Gerais, PUC Minas, Belo Horizonte 30535‐610, Brazil.

                Email: danielcarvalho@ 123456pucminas.br and carvalho.lgc@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-2548-1053
                https://orcid.org/0000-0003-4517-5069
                Article
                ECE310649 ECE-2023-08-01504.R1
                10.1002/ece3.10649
                10587807
                37869433
                d6632c08-b543-4df3-b178-858bd53e93d1
                © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 October 2023
                : 30 August 2023
                : 10 October 2023
                Page count
                Figures: 6, Tables: 1, Pages: 9, Words: 6490
                Funding
                Funded by: ANEEL/CEMIG , doi 10.13039/501100007133;
                Award ID: P&D0624
                Categories
                Genetics
                Research Article
                Research Articles
                Custom metadata
                2.0
                October 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.4 mode:remove_FC converted:20.10.2023

                Evolutionary Biology
                12s rrna,coi,high‐throughput dna sequencing,molecular taxonomy
                Evolutionary Biology
                12s rrna, coi, high‐throughput dna sequencing, molecular taxonomy

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