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      OTUs and ASVs Produce Comparable Taxonomic and Diversity from Shrimp Microbiota 16S Profiles Using Tailored Abundance Filters

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          Abstract

          The interplay between shrimp immune system, its environment, and microbiota contributes to the organism’s homeostasis and optimal production. The metagenomic composition is typically studied using 16S rDNA profiling by clustering amplicon sequences into operational taxonomic units (OTUs) and, more recently, amplicon sequence variants (ASVs). Establish the compatibility of the taxonomy, α, and β diversity described by both methods is necessary to compare past and future shrimp microbiota studies. Here, we used identical sequences to survey the V3 16S hypervariable-region using 97% and 99% OTUs and ASVs to assess the hepatopancreas and intestine microbiota of L. vannamei from two ponds under standardized rearing conditions. We found that applying filters to retain clusters >0.1% of the total abundance per sample enabled a consistent taxonomy comparison while preserving >94% of the total reads. The three sets turned comparable at the family level, whereas the 97% identity OTU set produced divergent genus and species profiles. Interestingly, the detection of organ and pond variations was robust to the clustering method’s choice, producing comparable α and β-diversity profiles. For comparisons on shrimp microbiota between past and future studies, we strongly recommend that ASVs be compared at the family level to 97% identity OTUs or use 99% identity OTUs, both using tailored frequency filters.

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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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              QIIME allows analysis of high-throughput community sequencing data.

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Genes (Basel)
                Genes (Basel)
                genes
                Genes
                MDPI
                2073-4425
                13 April 2021
                April 2021
                : 12
                : 4
                : 564
                Affiliations
                [1 ]Departamento de Microbiología Molecular, Instituto de Biotecnología (IBT), Universidad Nacional, Autónoma de México (UNAM) Avenida Universidad #2001, Colonia Chamilpa, Cuernavaca, Morelos 62210, Mexico; rodrigo.garcia@ 123456ibt.unam.mx (R.G.-L.); fer.cornejog@ 123456gmail.com (F.C.-G.)
                [2 ]Departamento de Ciencias Químico Biológicas, Universidad de Sonora (UNISON), Blvd., Rosales y Luis, Encinas, Hermosillo, Sonora 83000, Mexico; alexis.lopez@ 123456unison.mx
                [3 ]Camarones el Renacimiento S.P.R. de R.I. Justino Rubio 26, Colonia Ejidal, Higuera de Zaragoza, Sinaloa 81330, Mexico; el_andres_cota@ 123456hotmail.com
                [4 ]Laboratorio de Estructura Biomolecular, Centro de Investigación en Alimentación y Desarrollo, A.C. Hermosillo, Sonora 83304, Mexico; rrs@ 123456ciad.mx
                [5 ]Centro de Investigación en Alimentación y Desarrollo, A.C. Mazatlán, Sinaloa 82100, Mexico; bruno@ 123456ciad.mx
                Author notes
                [* ]Correspondence: adrian.ochoa@ 123456ibt.unam.mx ; Tel.: +52-777-3291614
                Author information
                https://orcid.org/0000-0002-6713-8085
                https://orcid.org/0000-0002-8860-0996
                https://orcid.org/0000-0001-9843-3709
                https://orcid.org/0000-0001-5543-6889
                https://orcid.org/0000-0002-3695-3597
                https://orcid.org/0000-0002-4701-2303
                Article
                genes-12-00564
                10.3390/genes12040564
                8070570
                33924545
                2d2e17dc-7511-4e1a-9b7f-d3a923cf64b1
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 04 March 2021
                : 10 April 2021
                Categories
                Article

                shrimp microbiota,16s profiling,otus,asvs,clustering methods,denoising

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