Response to Zamani et al. (2020): The omission of critical data in the pursuit of “revolutionary” methods to accelerate the description of species

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Abstract

Here we respond to the criticisms leveled against a proposal that suggested an efficient solution to the taxonomic impediment. We clarify some of our objectives and demonstrate that many of the criticisms apply more to traditional approaches to taxonomy rather than to our minimalist approach.

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A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System

Sujeevan Ratnasingham, Paul Hebert (2013)

Because many animal species are undescribed, and because the identification of known species is often difficult, interim taxonomic nomenclature has often been used in biodiversity analysis. By assigning individuals to presumptive species, called operational taxonomic units (OTUs), these systems speed investigations into the patterning of biodiversity and enable studies that would otherwise be impossible. Although OTUs have conventionally been separated through their morphological divergence, DNA-based delineations are not only feasible, but have important advantages. OTU designation can be automated, data can be readily archived, and results can be easily compared among investigations. This study exploits these attributes to develop a persistent, species-level taxonomic registry for the animal kingdom based on the analysis of patterns of nucleotide variation in the barcode region of the cytochrome c oxidase I (COI) gene. It begins by examining the correspondence between groups of specimens identified to a species through prior taxonomic work and those inferred from the analysis of COI sequence variation using one new (RESL) and four established (ABGD, CROP, GMYC, jMOTU) algorithms. It subsequently describes the implementation, and structural attributes of the Barcode Index Number (BIN) system. Aside from a pragmatic role in biodiversity assessments, BINs will aid revisionary taxonomy by flagging possible cases of synonymy, and by collating geographical information, descriptive metadata, and images for specimens that are likely to belong to the same species, even if it is undescribed. More than 274,000 BIN web pages are now available, creating a biodiversity resource that is positioned for rapid growth.

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Counting animal species with DNA barcodes: Canadian insects

Paul Hebert, Sujeevan Ratnasingham, Evgeny V. Zakharov … (2016)

Recent estimates suggest that the global insect fauna includes fewer than six million species, but this projection is very uncertain because taxonomic work has been limited on some highly diverse groups. Validation of current estimates minimally requires the investigation of all lineages that are diverse enough to have a substantial impact on the final species count. This study represents a first step in this direction; it employs DNA barcoding to evaluate patterns of species richness in 27 orders of Canadian insects. The analysis of over one million specimens revealed species counts congruent with earlier results for most orders. However, Diptera and Hymenoptera were unexpectedly diverse, representing two-thirds of the 46 937 barcode index numbers (=species) detected. Correspondence checks between known species and barcoded taxa showed that sampling was incomplete, a result confirmed by extrapolations from the barcode results which suggest the occurrence of at least 94 000 species of insects in Canada, a near doubling from the prior estimate of 54 000 species. One dipteran family, the Cecidomyiidae, was extraordinarily diverse with an estimated 16 000 species, a 10-fold increase from its predicted diversity. If Canada possesses about 1% of the global fauna, as it does for known taxa, the results of this study suggest the presence of 10 million insect species with about 1.8 million of these taxa in the Cecidomyiidae. If so, the global species count for this fly family may exceed the combined total for all 142 beetle families. If extended to more geographical regions and to all hyperdiverse groups, DNA barcoding can rapidly resolve the current uncertainty surrounding a species count for the animal kingdom. A newly detailed understanding of species diversity may illuminate processes important in speciation, as suggested by the discovery that the most diverse insect lineages in Canada employ an unusual mode of reproduction, haplodiploidy. This article is part of the themed issue ‘From DNA barcodes to biomes’.

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A Sequel to Sanger: amplicon sequencing that scales

Paul Hebert, Thomas W. A. Braukmann, Sean Prosser … (2018)

Background Although high-throughput sequencers (HTS) have largely displaced their Sanger counterparts, the short read lengths and high error rates of most platforms constrain their utility for amplicon sequencing. The present study tests the capacity of single molecule, real-time (SMRT) sequencing implemented on the SEQUEL platform to overcome these limitations, employing 658 bp amplicons of the mitochondrial cytochrome c oxidase I gene as a model system. Results By examining templates from more than 5000 species and 20,000 specimens, the performance of SMRT sequencing was tested with amplicons showing wide variation in GC composition and varied sequence attributes. SMRT and Sanger sequences were very similar, but SMRT sequencing provided more complete coverage, especially for amplicons with homopolymer tracts. Because it can characterize amplicon pools from 10,000 DNA extracts in a single run, the SEQUEL can reduce greatly reduce sequencing costs in comparison to first (Sanger) and second generation platforms (Illumina, Ion). Conclusions SMRT analysis generates high-fidelity sequences from amplicons with varying GC content and is resilient to homopolymer tracts. Analytical costs are low, substantially less than those for first or second generation sequencers. When implemented on the SEQUEL platform, SMRT analysis enables massive amplicon characterization because each instrument can recover sequences from more than 5 million DNA extracts a year. Electronic supplementary material The online version of this article (10.1186/s12864-018-4611-3) contains supplementary material, which is available to authorized users.

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Contributors

Michael Sharkey:

ORCID: https://orcid.org/0000-0001-6201-7340

Role: ConceptualizationRole: InvestigationRole: VisualizationRole: Writing - original draft

Journal

Journal ID (nlm-ta): Zookeys

Journal ID (iso-abbrev): Zookeys

Journal ID (publisher-id): 2

Journal ID (index): urn:lsid:arphahub.com:pub:45048D35-BB1D-5CE8-9668-537E44BD4C7E

Journal ID (aggregator): urn:lsid:zoobank.org:pub:91BD42D4-90F1-4B45-9350-EEF175B1727A

Title: ZooKeys

Publisher: Pensoft Publishers

ISSN (Print): 1313-2989

ISSN (Electronic): 1313-2970

Publication date Collection: 2021

Publication date (Electronic): 22 April 2021

Volume: 1033

Pages: 191-201

Affiliations

[1 ] The Hymenoptera Institute, 116 Franklin Ave., Redlands, CA 92373, USA The Hymenoptera Institute Redlands United States of America

[2 ] Entomology Section, Natural History Museum of Los Angeles County, 900 Exposition Boulevard, Los Angeles, CA 90007, USA Natural History Museum of Los Angeles County Los Angeles United States of America

[3 ] Department of Entomology, University of California, Riverside, CA, USA University of California Riverside United States of America

[4 ] Ecology and Genetics Research Unit, University of Oulu, Finland University of Oulu Oulu Finland

Author notes

Corresponding author: Michael Sharkey ( msharkey@ 123456uky.edu )

Academic editor: Lyubomir Penev

Author information

Michael Sharkey https://orcid.org/0000-0001-6201-7340

Brian Brown https://orcid.org/0000-0001-6367-6057

Marko Mutanen https://orcid.org/0000-0003-4464-6308

Article

Publisher ID: 66186

DOI: 10.3897/zookeys.1033.66186

PMC ID: 8084859

PubMed ID: 33958926

SO-VID: a0e035a6-7b74-478f-9b2b-91a6a271c747

License:

This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

History

Date received : 20 March 2021

Date accepted : 04 April 2021

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Response to Zamani et al. (2020): The omission of critical data in the pursuit of “revolutionary” methods to accelerate the description of species

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Pensoft Biodiversity

Most cited references 23

A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System

Counting animal species with DNA barcodes: Canadian insects

A Sequel to Sanger: amplicon sequencing that scales

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