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Identification and phylogenetic analysis of the genus Syringa based on chloroplast genomic DNA barcoding
DNA barcoding is a supplementary tool in plant systematics that is extensively used to resolve species-level controversies. This study assesses the significance of using two DNA barcoding loci (e.g., psbA-trnH and trnC-petN) in distinguishing 33 plant samples of the genus Syringa. Results showed tha...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295972/ https://www.ncbi.nlm.nih.gov/pubmed/35853031 http://dx.doi.org/10.1371/journal.pone.0271633 |
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author | Yao, Ruihong Guo, Runfang Liu, Yuguang Kou, Ziqian Shi, Baosheng |
author_facet | Yao, Ruihong Guo, Runfang Liu, Yuguang Kou, Ziqian Shi, Baosheng |
author_sort | Yao, Ruihong |
collection | PubMed |
description | DNA barcoding is a supplementary tool in plant systematics that is extensively used to resolve species-level controversies. This study assesses the significance of using two DNA barcoding loci (e.g., psbA-trnH and trnC-petN) in distinguishing 33 plant samples of the genus Syringa. Results showed that the average genetic distance K2P of psbA-trnH DNA marker was 0.0521, which is much higher than that of trnC-petN, which is 0.0171. A neighbor-joining phylogenetic tree based on psbA-trnH and trnC-petN indicated that the identification rate of psbA-trnH and trnC-petN alone were 75% and 62.5%, respectively. The barcode combination of psbA-trnH+trnC-petN could identify 33 samples of the genus Syringa accurately and effectively with an identification rate of 87.5%. The 33 Syringa samples were divided into four groups: Group I is series Syringa represented by Syringa oblata; Group II is series Villosae represented by Syringa villosa; Group III is series Pubescentes represented by Syringa meyeri; and Group IV is section Ligustrina represented by Syringa reticulata subsp. pekinensis. These research results provided strong evidence that the combinatorial barcode of psbA-trnH+trnC-petN had high-efficiency identification ability and application prospects in species of the genus Syringa. |
format | Online Article Text |
id | pubmed-9295972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-92959722022-07-20 Identification and phylogenetic analysis of the genus Syringa based on chloroplast genomic DNA barcoding Yao, Ruihong Guo, Runfang Liu, Yuguang Kou, Ziqian Shi, Baosheng PLoS One Research Article DNA barcoding is a supplementary tool in plant systematics that is extensively used to resolve species-level controversies. This study assesses the significance of using two DNA barcoding loci (e.g., psbA-trnH and trnC-petN) in distinguishing 33 plant samples of the genus Syringa. Results showed that the average genetic distance K2P of psbA-trnH DNA marker was 0.0521, which is much higher than that of trnC-petN, which is 0.0171. A neighbor-joining phylogenetic tree based on psbA-trnH and trnC-petN indicated that the identification rate of psbA-trnH and trnC-petN alone were 75% and 62.5%, respectively. The barcode combination of psbA-trnH+trnC-petN could identify 33 samples of the genus Syringa accurately and effectively with an identification rate of 87.5%. The 33 Syringa samples were divided into four groups: Group I is series Syringa represented by Syringa oblata; Group II is series Villosae represented by Syringa villosa; Group III is series Pubescentes represented by Syringa meyeri; and Group IV is section Ligustrina represented by Syringa reticulata subsp. pekinensis. These research results provided strong evidence that the combinatorial barcode of psbA-trnH+trnC-petN had high-efficiency identification ability and application prospects in species of the genus Syringa. Public Library of Science 2022-07-19 /pmc/articles/PMC9295972/ /pubmed/35853031 http://dx.doi.org/10.1371/journal.pone.0271633 Text en © 2022 Yao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yao, Ruihong Guo, Runfang Liu, Yuguang Kou, Ziqian Shi, Baosheng Identification and phylogenetic analysis of the genus Syringa based on chloroplast genomic DNA barcoding |
title | Identification and phylogenetic analysis of the genus Syringa based on chloroplast genomic DNA barcoding |
title_full | Identification and phylogenetic analysis of the genus Syringa based on chloroplast genomic DNA barcoding |
title_fullStr | Identification and phylogenetic analysis of the genus Syringa based on chloroplast genomic DNA barcoding |
title_full_unstemmed | Identification and phylogenetic analysis of the genus Syringa based on chloroplast genomic DNA barcoding |
title_short | Identification and phylogenetic analysis of the genus Syringa based on chloroplast genomic DNA barcoding |
title_sort | identification and phylogenetic analysis of the genus syringa based on chloroplast genomic dna barcoding |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295972/ https://www.ncbi.nlm.nih.gov/pubmed/35853031 http://dx.doi.org/10.1371/journal.pone.0271633 |
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