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Statistical Parsimony Networks and Species Assemblages in Cephalotrichid Nemerteans (Nemertea)
BACKGROUND: It has been suggested that statistical parsimony network analysis could be used to get an indication of species represented in a set of nucleotide data, and the approach has been used to discuss species boundaries in some taxa. METHODOLOGY/PRINCIPAL FINDINGS: Based on 635 base pairs of t...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943479/ https://www.ncbi.nlm.nih.gov/pubmed/20877627 http://dx.doi.org/10.1371/journal.pone.0012885 |
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author | Chen, Haixia Strand, Malin Norenburg, Jon L. Sun, Shichun Kajihara, Hiroshi Chernyshev, Alexey V. Maslakova, Svetlana A. Sundberg, Per |
author_facet | Chen, Haixia Strand, Malin Norenburg, Jon L. Sun, Shichun Kajihara, Hiroshi Chernyshev, Alexey V. Maslakova, Svetlana A. Sundberg, Per |
author_sort | Chen, Haixia |
collection | PubMed |
description | BACKGROUND: It has been suggested that statistical parsimony network analysis could be used to get an indication of species represented in a set of nucleotide data, and the approach has been used to discuss species boundaries in some taxa. METHODOLOGY/PRINCIPAL FINDINGS: Based on 635 base pairs of the mitochondrial protein-coding gene cytochrome c oxidase I (COI), we analyzed 152 nemertean specimens using statistical parsimony network analysis with the connection probability set to 95%. The analysis revealed 15 distinct networks together with seven singletons. Statistical parsimony yielded three networks supporting the species status of Cephalothrix rufifrons, C. major and C. spiralis as they currently have been delineated by morphological characters and geographical location. Many other networks contained haplotypes from nearby geographical locations. Cladistic structure by maximum likelihood analysis overall supported the network analysis, but indicated a false positive result where subnetworks should have been connected into one network/species. This probably is caused by undersampling of the intraspecific haplotype diversity. CONCLUSIONS/SIGNIFICANCE: Statistical parsimony network analysis provides a rapid and useful tool for detecting possible undescribed/cryptic species among cephalotrichid nemerteans based on COI gene. It should be combined with phylogenetic analysis to get indications of false positive results, i.e., subnetworks that would have been connected with more extensive haplotype sampling. |
format | Text |
id | pubmed-2943479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-29434792010-09-28 Statistical Parsimony Networks and Species Assemblages in Cephalotrichid Nemerteans (Nemertea) Chen, Haixia Strand, Malin Norenburg, Jon L. Sun, Shichun Kajihara, Hiroshi Chernyshev, Alexey V. Maslakova, Svetlana A. Sundberg, Per PLoS One Research Article BACKGROUND: It has been suggested that statistical parsimony network analysis could be used to get an indication of species represented in a set of nucleotide data, and the approach has been used to discuss species boundaries in some taxa. METHODOLOGY/PRINCIPAL FINDINGS: Based on 635 base pairs of the mitochondrial protein-coding gene cytochrome c oxidase I (COI), we analyzed 152 nemertean specimens using statistical parsimony network analysis with the connection probability set to 95%. The analysis revealed 15 distinct networks together with seven singletons. Statistical parsimony yielded three networks supporting the species status of Cephalothrix rufifrons, C. major and C. spiralis as they currently have been delineated by morphological characters and geographical location. Many other networks contained haplotypes from nearby geographical locations. Cladistic structure by maximum likelihood analysis overall supported the network analysis, but indicated a false positive result where subnetworks should have been connected into one network/species. This probably is caused by undersampling of the intraspecific haplotype diversity. CONCLUSIONS/SIGNIFICANCE: Statistical parsimony network analysis provides a rapid and useful tool for detecting possible undescribed/cryptic species among cephalotrichid nemerteans based on COI gene. It should be combined with phylogenetic analysis to get indications of false positive results, i.e., subnetworks that would have been connected with more extensive haplotype sampling. Public Library of Science 2010-09-21 /pmc/articles/PMC2943479/ /pubmed/20877627 http://dx.doi.org/10.1371/journal.pone.0012885 Text en Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Chen, Haixia Strand, Malin Norenburg, Jon L. Sun, Shichun Kajihara, Hiroshi Chernyshev, Alexey V. Maslakova, Svetlana A. Sundberg, Per Statistical Parsimony Networks and Species Assemblages in Cephalotrichid Nemerteans (Nemertea) |
title | Statistical Parsimony Networks and Species Assemblages in Cephalotrichid Nemerteans (Nemertea) |
title_full | Statistical Parsimony Networks and Species Assemblages in Cephalotrichid Nemerteans (Nemertea) |
title_fullStr | Statistical Parsimony Networks and Species Assemblages in Cephalotrichid Nemerteans (Nemertea) |
title_full_unstemmed | Statistical Parsimony Networks and Species Assemblages in Cephalotrichid Nemerteans (Nemertea) |
title_short | Statistical Parsimony Networks and Species Assemblages in Cephalotrichid Nemerteans (Nemertea) |
title_sort | statistical parsimony networks and species assemblages in cephalotrichid nemerteans (nemertea) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943479/ https://www.ncbi.nlm.nih.gov/pubmed/20877627 http://dx.doi.org/10.1371/journal.pone.0012885 |
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