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Highly Resolved Phylogenetic Relationships within Order Acipenseriformes According to Novel Nuclear Markers

Order Acipenseriformes contains 27 extant species distributed across the northern hemisphere, including so-called “living fossil” species of garfish and sturgeons. Previous studies have focused on their mitochondrial genetics and have rarely used nuclear genetic data, leaving questions as to their p...

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Autores principales: Luo, Dehuai, Li, Yanping, Zhao, Qingyuan, Zhao, Lianpeng, Ludwig, Arne, Peng, Zuogang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356338/
https://www.ncbi.nlm.nih.gov/pubmed/30634684
http://dx.doi.org/10.3390/genes10010038
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author Luo, Dehuai
Li, Yanping
Zhao, Qingyuan
Zhao, Lianpeng
Ludwig, Arne
Peng, Zuogang
author_facet Luo, Dehuai
Li, Yanping
Zhao, Qingyuan
Zhao, Lianpeng
Ludwig, Arne
Peng, Zuogang
author_sort Luo, Dehuai
collection PubMed
description Order Acipenseriformes contains 27 extant species distributed across the northern hemisphere, including so-called “living fossil” species of garfish and sturgeons. Previous studies have focused on their mitochondrial genetics and have rarely used nuclear genetic data, leaving questions as to their phylogenetic relationships. This study aimed to utilize a bioinformatics approach to screen for candidate single-copy nuclear genes, using transcriptomic data from sturgeon species and genomic data from the spotted gar, Lepisosteus oculatus. We utilized nested polymerase chain reaction (PCR) and degenerate primers to identify nuclear protein-coding (NPC) gene markers to determine phylogenetic relationships among the Acipenseriformes. We identified 193 nuclear single-copy genes, selected from 1850 candidate genes with at least one exon larger than 700 bp. Forty-three of these genes were used for primer design and development of 30 NPC markers, which were sequenced for at least 14 Acipenseriformes species. Twenty-seven NPC markers were found completely in 16 species. Gene trees according to Bayesian inference (BI) and maximum likelihood (ML) were calculated based on the 30 NPC markers (20,946 bp total). Both gene and species trees produced very similar topologies. A molecular clock model estimated the divergence time between sturgeon and paddlefish at 204.1 Mya, approximately 10% later than previous estimates based on cytochrome b data (184.4 Mya). The successful development and application of NPC markers provides a new perspective and insight for the phylogenetic relationships of Acipenseriformes. Furthermore, the newly developed nuclear markers may be useful in further studies on the conservation, evolution, and genomic biology of this group.
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spelling pubmed-63563382019-02-04 Highly Resolved Phylogenetic Relationships within Order Acipenseriformes According to Novel Nuclear Markers Luo, Dehuai Li, Yanping Zhao, Qingyuan Zhao, Lianpeng Ludwig, Arne Peng, Zuogang Genes (Basel) Article Order Acipenseriformes contains 27 extant species distributed across the northern hemisphere, including so-called “living fossil” species of garfish and sturgeons. Previous studies have focused on their mitochondrial genetics and have rarely used nuclear genetic data, leaving questions as to their phylogenetic relationships. This study aimed to utilize a bioinformatics approach to screen for candidate single-copy nuclear genes, using transcriptomic data from sturgeon species and genomic data from the spotted gar, Lepisosteus oculatus. We utilized nested polymerase chain reaction (PCR) and degenerate primers to identify nuclear protein-coding (NPC) gene markers to determine phylogenetic relationships among the Acipenseriformes. We identified 193 nuclear single-copy genes, selected from 1850 candidate genes with at least one exon larger than 700 bp. Forty-three of these genes were used for primer design and development of 30 NPC markers, which were sequenced for at least 14 Acipenseriformes species. Twenty-seven NPC markers were found completely in 16 species. Gene trees according to Bayesian inference (BI) and maximum likelihood (ML) were calculated based on the 30 NPC markers (20,946 bp total). Both gene and species trees produced very similar topologies. A molecular clock model estimated the divergence time between sturgeon and paddlefish at 204.1 Mya, approximately 10% later than previous estimates based on cytochrome b data (184.4 Mya). The successful development and application of NPC markers provides a new perspective and insight for the phylogenetic relationships of Acipenseriformes. Furthermore, the newly developed nuclear markers may be useful in further studies on the conservation, evolution, and genomic biology of this group. MDPI 2019-01-10 /pmc/articles/PMC6356338/ /pubmed/30634684 http://dx.doi.org/10.3390/genes10010038 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Luo, Dehuai
Li, Yanping
Zhao, Qingyuan
Zhao, Lianpeng
Ludwig, Arne
Peng, Zuogang
Highly Resolved Phylogenetic Relationships within Order Acipenseriformes According to Novel Nuclear Markers
title Highly Resolved Phylogenetic Relationships within Order Acipenseriformes According to Novel Nuclear Markers
title_full Highly Resolved Phylogenetic Relationships within Order Acipenseriformes According to Novel Nuclear Markers
title_fullStr Highly Resolved Phylogenetic Relationships within Order Acipenseriformes According to Novel Nuclear Markers
title_full_unstemmed Highly Resolved Phylogenetic Relationships within Order Acipenseriformes According to Novel Nuclear Markers
title_short Highly Resolved Phylogenetic Relationships within Order Acipenseriformes According to Novel Nuclear Markers
title_sort highly resolved phylogenetic relationships within order acipenseriformes according to novel nuclear markers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356338/
https://www.ncbi.nlm.nih.gov/pubmed/30634684
http://dx.doi.org/10.3390/genes10010038
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