Cargando…

Cox1 barcoding versus multilocus species delimitation: validation of two mite species with contrasting effective population sizes

BACKGROUND: The cox1-barcoding approach is currently extensively used for high-throughput species delimitation and discovery. However, this method has several limitations, particularly when organisms have large effective population sizes. Paradoxically, most common, abundant, and widely distributed...

Descripción completa

Detalles Bibliográficos
Autores principales: Klimov, Pavel B., Skoracki, Maciej, Bochkov, Andre V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321676/
https://www.ncbi.nlm.nih.gov/pubmed/30611284
http://dx.doi.org/10.1186/s13071-018-3242-5
_version_ 1783385498559971328
author Klimov, Pavel B.
Skoracki, Maciej
Bochkov, Andre V.
author_facet Klimov, Pavel B.
Skoracki, Maciej
Bochkov, Andre V.
author_sort Klimov, Pavel B.
collection PubMed
description BACKGROUND: The cox1-barcoding approach is currently extensively used for high-throughput species delimitation and discovery. However, this method has several limitations, particularly when organisms have large effective population sizes. Paradoxically, most common, abundant, and widely distributed species may be misclassified by this technique. RESULTS: We conducted species delimitation analyses for two host-specific lineages of scab mites of the genus Caparinia, having small population sizes. Cox1 divergence between these lineages was high (7.4–7.8%) while that of nuclear genes was low (0.06–0.53%). This system was contrasted with the medically important American house dust mite, Dermatophagoides farinae, a globally distributed species with very large population size. This species has two distinct, sympatric cox1 lineages with 4.2% divergence. We tested several species delimitation algorithms PTP, GMYC, ABGD, BPP, STACEY and PHRAPL, which inferred different species boundaries for these entities. Notably, STACEY recovered the Caparinia lineages as two species and D. farinae as a single species. BPP agreed with these results when the prior on ancestral effective population sizes was set to expected values, although delimitation of Caparinia was still equivocal. No other cox1 species delimitation algorithms inferred D. farinae as a single species, despite the fact that the nuclear CPW2 gene shows some evidence for introgression between the cox1 groups. This indicates that the cox1-barcoding approach may result in excessive species splitting. CONCLUSIONS: Our research highlights the importance of using nuclear genes and demographic characteristics to infer species boundaries rather than relying on a single-gene barcoding approach, particularly for putative species having large effective population sizes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-3242-5) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6321676
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63216762019-01-09 Cox1 barcoding versus multilocus species delimitation: validation of two mite species with contrasting effective population sizes Klimov, Pavel B. Skoracki, Maciej Bochkov, Andre V. Parasit Vectors Research BACKGROUND: The cox1-barcoding approach is currently extensively used for high-throughput species delimitation and discovery. However, this method has several limitations, particularly when organisms have large effective population sizes. Paradoxically, most common, abundant, and widely distributed species may be misclassified by this technique. RESULTS: We conducted species delimitation analyses for two host-specific lineages of scab mites of the genus Caparinia, having small population sizes. Cox1 divergence between these lineages was high (7.4–7.8%) while that of nuclear genes was low (0.06–0.53%). This system was contrasted with the medically important American house dust mite, Dermatophagoides farinae, a globally distributed species with very large population size. This species has two distinct, sympatric cox1 lineages with 4.2% divergence. We tested several species delimitation algorithms PTP, GMYC, ABGD, BPP, STACEY and PHRAPL, which inferred different species boundaries for these entities. Notably, STACEY recovered the Caparinia lineages as two species and D. farinae as a single species. BPP agreed with these results when the prior on ancestral effective population sizes was set to expected values, although delimitation of Caparinia was still equivocal. No other cox1 species delimitation algorithms inferred D. farinae as a single species, despite the fact that the nuclear CPW2 gene shows some evidence for introgression between the cox1 groups. This indicates that the cox1-barcoding approach may result in excessive species splitting. CONCLUSIONS: Our research highlights the importance of using nuclear genes and demographic characteristics to infer species boundaries rather than relying on a single-gene barcoding approach, particularly for putative species having large effective population sizes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-3242-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-05 /pmc/articles/PMC6321676/ /pubmed/30611284 http://dx.doi.org/10.1186/s13071-018-3242-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Klimov, Pavel B.
Skoracki, Maciej
Bochkov, Andre V.
Cox1 barcoding versus multilocus species delimitation: validation of two mite species with contrasting effective population sizes
title Cox1 barcoding versus multilocus species delimitation: validation of two mite species with contrasting effective population sizes
title_full Cox1 barcoding versus multilocus species delimitation: validation of two mite species with contrasting effective population sizes
title_fullStr Cox1 barcoding versus multilocus species delimitation: validation of two mite species with contrasting effective population sizes
title_full_unstemmed Cox1 barcoding versus multilocus species delimitation: validation of two mite species with contrasting effective population sizes
title_short Cox1 barcoding versus multilocus species delimitation: validation of two mite species with contrasting effective population sizes
title_sort cox1 barcoding versus multilocus species delimitation: validation of two mite species with contrasting effective population sizes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321676/
https://www.ncbi.nlm.nih.gov/pubmed/30611284
http://dx.doi.org/10.1186/s13071-018-3242-5
work_keys_str_mv AT klimovpavelb cox1barcodingversusmultilocusspeciesdelimitationvalidationoftwomitespecieswithcontrastingeffectivepopulationsizes
AT skorackimaciej cox1barcodingversusmultilocusspeciesdelimitationvalidationoftwomitespecieswithcontrastingeffectivepopulationsizes
AT bochkovandrev cox1barcodingversusmultilocusspeciesdelimitationvalidationoftwomitespecieswithcontrastingeffectivepopulationsizes