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DNA Barcoding and geographical scale effect: The problems of undersampling genetic diversity hotspots

DNA barcoding identification needs a good characterization of intraspecific genetic divergence to establish the limits between species. Yet, the number of barcodes per species is many times low and geographically restricted. A poor coverage of the species distribution range may hamper identification...

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Autores principales: Gaytán, Álvaro, Bergsten, Johannes, Canelo, Tara, Pérez‐Izquierdo, Carlos, Santoro, Maria, Bonal, Raul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548170/
https://www.ncbi.nlm.nih.gov/pubmed/33072294
http://dx.doi.org/10.1002/ece3.6733
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author Gaytán, Álvaro
Bergsten, Johannes
Canelo, Tara
Pérez‐Izquierdo, Carlos
Santoro, Maria
Bonal, Raul
author_facet Gaytán, Álvaro
Bergsten, Johannes
Canelo, Tara
Pérez‐Izquierdo, Carlos
Santoro, Maria
Bonal, Raul
author_sort Gaytán, Álvaro
collection PubMed
description DNA barcoding identification needs a good characterization of intraspecific genetic divergence to establish the limits between species. Yet, the number of barcodes per species is many times low and geographically restricted. A poor coverage of the species distribution range may hamper identification, especially when undersampled areas host genetically distinct lineages. If so, the genetic distance between some query sequences and reference barcodes may exceed the maximum intraspecific threshold for unequivocal species assignation. Taking a group of Quercus herbivores (moths) in Europe as model system, we found that the number of DNA barcodes from southern Europe is proportionally very low in the Barcoding of Life Data Systems. This geographical bias complicates the identification of southern query sequences, due to their high intraspecific genetic distance with respect to barcodes from higher latitudes. Pairwise intraspecific genetic divergence increased along with spatial distance, but was higher when at least one of the sampling sites was in southern Europe. Accordingly, GMYC (General Mixed Yule Coalescent) single‐threshold model retrieved clusters constituted exclusively by Iberian haplotypes, some of which could correspond to cryptic species. The number of putative species retrieved was more reliable than that of multiple‐threshold GMYC but very similar to results from ABGD and jMOTU. Our results support GMYC as a key resource for species delimitation within poorly inventoried biogeographic regions in Europe, where historical factors (e.g., glaciations) have promoted genetic diversity and singularity. Future European DNA barcoding initiatives should be preferentially performed along latitudinal gradients, with special focus on southern peninsulas.
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spelling pubmed-75481702020-10-16 DNA Barcoding and geographical scale effect: The problems of undersampling genetic diversity hotspots Gaytán, Álvaro Bergsten, Johannes Canelo, Tara Pérez‐Izquierdo, Carlos Santoro, Maria Bonal, Raul Ecol Evol Original Research DNA barcoding identification needs a good characterization of intraspecific genetic divergence to establish the limits between species. Yet, the number of barcodes per species is many times low and geographically restricted. A poor coverage of the species distribution range may hamper identification, especially when undersampled areas host genetically distinct lineages. If so, the genetic distance between some query sequences and reference barcodes may exceed the maximum intraspecific threshold for unequivocal species assignation. Taking a group of Quercus herbivores (moths) in Europe as model system, we found that the number of DNA barcodes from southern Europe is proportionally very low in the Barcoding of Life Data Systems. This geographical bias complicates the identification of southern query sequences, due to their high intraspecific genetic distance with respect to barcodes from higher latitudes. Pairwise intraspecific genetic divergence increased along with spatial distance, but was higher when at least one of the sampling sites was in southern Europe. Accordingly, GMYC (General Mixed Yule Coalescent) single‐threshold model retrieved clusters constituted exclusively by Iberian haplotypes, some of which could correspond to cryptic species. The number of putative species retrieved was more reliable than that of multiple‐threshold GMYC but very similar to results from ABGD and jMOTU. Our results support GMYC as a key resource for species delimitation within poorly inventoried biogeographic regions in Europe, where historical factors (e.g., glaciations) have promoted genetic diversity and singularity. Future European DNA barcoding initiatives should be preferentially performed along latitudinal gradients, with special focus on southern peninsulas. John Wiley and Sons Inc. 2020-09-01 /pmc/articles/PMC7548170/ /pubmed/33072294 http://dx.doi.org/10.1002/ece3.6733 Text en © 2020 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.
spellingShingle Original Research
Gaytán, Álvaro
Bergsten, Johannes
Canelo, Tara
Pérez‐Izquierdo, Carlos
Santoro, Maria
Bonal, Raul
DNA Barcoding and geographical scale effect: The problems of undersampling genetic diversity hotspots
title DNA Barcoding and geographical scale effect: The problems of undersampling genetic diversity hotspots
title_full DNA Barcoding and geographical scale effect: The problems of undersampling genetic diversity hotspots
title_fullStr DNA Barcoding and geographical scale effect: The problems of undersampling genetic diversity hotspots
title_full_unstemmed DNA Barcoding and geographical scale effect: The problems of undersampling genetic diversity hotspots
title_short DNA Barcoding and geographical scale effect: The problems of undersampling genetic diversity hotspots
title_sort dna barcoding and geographical scale effect: the problems of undersampling genetic diversity hotspots
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548170/
https://www.ncbi.nlm.nih.gov/pubmed/33072294
http://dx.doi.org/10.1002/ece3.6733
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