Literature DB >> 33906395

Getting science priorities straight: how to increase the reliability of specimen identification?

Filipe Michels Bianchi1,2, Leonardo Tresoldi Gonçalves3,4.   

Abstract

'We advise the authors to find a native English speaker to proofread the manuscript'. This is a standard feedback journals give to non-native English speakers. Journals are justifiably concerned with grammar but do not show the same rigour about another step crucial to biological research: specimen identification. Surveying the author guidelines of 100 journals, we found that only 6% of them request explicitly citation of the literature used in specimen identification. Authors hamper readers from contesting specimen identification whenever vouchers, identification methods, and taxon concepts are not provided. However, unclear taxonomic procedures violate the basic scientific principle of reproducibility. The scientific community must continuously look for practical alternatives to improve taxonomic identification and taxonomic verification. We argue that voucher pictures are an accessible, cheap and time-effective alternative to mitigate (not abolish) bad taxonomy by exposing preventable misidentifications. Voucher pictures allow scientists to judge specimen identification actively, based on available data. The popularization of high-quality image devices, photo-identification technologies and computer vision algorithms yield accurate scientific photo-documentation, improving taxonomic procedures. Taxonomy is timeless, transversal and essential to most scientific disciplines in biological sciences. It is time to demand rigour in taxonomic identifications.

Entities:  

Keywords:  misidentification; public databases; science policy; taxonomy; voucher

Mesh:

Year:  2021        PMID: 33906395      PMCID: PMC8086990          DOI: 10.1098/rsbl.2020.0874

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  20 in total

1.  The quality of name-based species records in databases.

Authors:  António M Santos; Madalena Branco
Journal:  Trends Ecol Evol       Date:  2011-11-05       Impact factor: 17.712

2.  Guiding authors to reliably use taxonomic names.

Authors:  Alejandro Bortolus
Journal:  Trends Ecol Evol       Date:  2012-06-02       Impact factor: 17.712

3.  Error cascades in the biological sciences: the unwanted consequences of using bad taxonomy in ecology.

Authors:  Alejandro Bortolus
Journal:  Ambio       Date:  2008-03       Impact factor: 5.129

4.  Parasite misidentifications in GenBank: how to minimize their number?

Authors:  Gediminas Valkiūnas; Carter T Atkinson; Staffan Bensch; Ravinder N M Sehgal; Robert E Ricklefs
Journal:  Trends Parasitol       Date:  2008-04-25

5.  The Increasing Disconnection of Primary Biodiversity Data from Specimens: How Does It Happen and How to Handle It?

Authors:  Julien Troudet; Régine Vignes-Lebbe; Philippe Grandcolas; Frédéric Legendre
Journal:  Syst Biol       Date:  2018-11-01       Impact factor: 15.683

6.  Reply to Bortolus: what's in a name?

Authors:  Jason R Straka; Brian M Starzomski
Journal:  Trends Ecol Evol       Date:  2012-08-20       Impact factor: 17.712

7.  Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks.

Authors:  Miroslav Valan; Karoly Makonyi; Atsuto Maki; Dominik Vondráček; Fredrik Ronquist
Journal:  Syst Biol       Date:  2019-11-01       Impact factor: 15.683

8.  In-silico Taxonomic Classification of 373 Genomes Reveals Species Misidentification and New Genospecies within the Genus Pseudomonas.

Authors:  Phuong N Tran; Michael A Savka; Han Ming Gan
Journal:  Front Microbiol       Date:  2017-07-12       Impact factor: 5.640

9.  Going deeper in the automated identification of Herbarium specimens.

Authors:  Jose Carranza-Rojas; Herve Goeau; Pierre Bonnet; Erick Mata-Montero; Alexis Joly
Journal:  BMC Evol Biol       Date:  2017-08-11       Impact factor: 3.260

10.  Misidentification of genome assemblies in public databases: The case of Naumovozyma dairenensis and proposal of a protocol to correct misidentifications.

Authors:  Aimilia A Stavrou; Verónica Mixão; Teun Boekhout; Toni Gabaldón
Journal:  Yeast       Date:  2018-02-22       Impact factor: 3.239

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  1 in total

1.  Sticky Pi is a high-frequency smart trap that enables the study of insect circadian activity under natural conditions.

Authors:  Quentin Geissmann; Paul K Abram; Di Wu; Cara H Haney; Juli Carrillo
Journal:  PLoS Biol       Date:  2022-07-07       Impact factor: 9.593

  1 in total

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