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      Experimental validation of taxon‐specific mini‐barcode primers for metabarcoding of zooplankton

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          Abstract

          Metabarcoding to determine the species composition and diversity of marine zooplankton communities is a fast-developing field in which the standardization of methods is yet to be fully achieved. The selection of genetic markers and primer choice are particularly important because they substantially influence species detection rates and accuracy. Validation is therefore an important step in the design of metabarcoding protocols. We developed taxon-specific mini-barcode primers for the cytochrome c oxidase subunit I (COI) gene region and used an experimental approach to test species detection rates and primer accuracy of the newly designed primers for prawns, shrimps and crabs and published primers for marine lobsters and fish. Artificially assembled mock communities (with known species ratios) and unsorted coastal tow-net zooplankton samples were sequenced and the detected species were compared with those seeded in mock communities to test detection rates. Taxon-specific primers increased detection rates of target taxa compared with a universal primer set. Primer cocktails (multiple primer sets) significantly increased species detection rates compared with single primer pairs and could detect up to 100% of underrepresented target taxa in mock communities. Taxon-specific primers recovered fewer false-positive or false-negative results than the universal primer. The methods used to design taxon-specific mini-barcodes and the experimental mock community validation protocols shown here can easily be applied to studies on other groups and will allow for a level of standardization among studies undertaken in different ecosystems or geographic locations.

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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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            Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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              MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

              We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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                Author and article information

                Contributors
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                Journal
                Ecological Applications
                Ecological Applications
                Wiley
                1051-0761
                1939-5582
                January 2022
                November 16 2021
                January 2022
                : 32
                : 1
                Affiliations
                [1 ]School of Life Sciences University of KwaZulu‐Natal Carbis Road Pietermaritzburg KwaZulu‐Natal 3201 South Africa
                [2 ]Oceanographic Research Institute King Shaka Avenue, Point Durban KwaZulu‐Natal 4001 South Africa
                [3 ]KwaZulu‐Natal Research Innovation and Sequencing Platform (KRISP) Department of Laboratory Medicine and Medical Sciences University of KwaZulu‐Natal Umbilo Rd Durban KwaZulu‐Natal 4001 South Africa
                Article
                10.1002/eap.2469
                34626511
                0da2ea2e-b360-432a-94e7-7dbf988b10e7
                © 2022

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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