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Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing

Flaxleaf fleabane (Conyza bonariensis [L.] Cronquist) is one of the most difficult weeds to control worldwide. There are more than 150 Conyza species in the world and eight species in Australia. Correct identification of these species can be problematic due to their morphological similarities especi...

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Autores principales: Wang, Aisuo, Wu, Hanwen, Zhu, Xiaocheng, Lin, Jianmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141629/
https://www.ncbi.nlm.nih.gov/pubmed/30254661
http://dx.doi.org/10.3389/fgene.2018.00374
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author Wang, Aisuo
Wu, Hanwen
Zhu, Xiaocheng
Lin, Jianmin
author_facet Wang, Aisuo
Wu, Hanwen
Zhu, Xiaocheng
Lin, Jianmin
author_sort Wang, Aisuo
collection PubMed
description Flaxleaf fleabane (Conyza bonariensis [L.] Cronquist) is one of the most difficult weeds to control worldwide. There are more than 150 Conyza species in the world and eight species in Australia. Correct identification of these species can be problematic due to their morphological similarities especially at seedling stage. Developing a robust genetics – based species identification method to distinguish C. bonariensis from other closely related species is important for early control of weeds. We thus examined the chloroplast (cp) genome of C. bonariensis, aiming to identify novel DNA barcodes from the genome sequences, and use the entire cp genome as a super-barcode for molecular identification. The C. bonariensis chloroplast genome is 152,076 bp in size, encodes 133 genes including 88 protein-coding genes, 37 tRNA genes and 8 ribosomal RNA genes. A total of 151 intergenic regions and 19 simple sequence repeats were identified in the cp genome of C. bonariensis, which provides a useful genetic resource to develop robust markers for the genetic diversity studies of Conyza species. The sequence information was used to design a robust DNA barcode rps16 and trnQ-UUG which successfully separated three predominant Conyza species (C. bonariensis, C. canadensis, and C. sumatrensis). Phylogenetic analyses based on the cp genomes of C. bonariensis, C. canadensis and 18 other Asteraceae species revealed the potential of using entire cp genome as a plant super-barcode to distinguish closely-related weed species.
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spelling pubmed-61416292018-09-25 Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing Wang, Aisuo Wu, Hanwen Zhu, Xiaocheng Lin, Jianmin Front Genet Genetics Flaxleaf fleabane (Conyza bonariensis [L.] Cronquist) is one of the most difficult weeds to control worldwide. There are more than 150 Conyza species in the world and eight species in Australia. Correct identification of these species can be problematic due to their morphological similarities especially at seedling stage. Developing a robust genetics – based species identification method to distinguish C. bonariensis from other closely related species is important for early control of weeds. We thus examined the chloroplast (cp) genome of C. bonariensis, aiming to identify novel DNA barcodes from the genome sequences, and use the entire cp genome as a super-barcode for molecular identification. The C. bonariensis chloroplast genome is 152,076 bp in size, encodes 133 genes including 88 protein-coding genes, 37 tRNA genes and 8 ribosomal RNA genes. A total of 151 intergenic regions and 19 simple sequence repeats were identified in the cp genome of C. bonariensis, which provides a useful genetic resource to develop robust markers for the genetic diversity studies of Conyza species. The sequence information was used to design a robust DNA barcode rps16 and trnQ-UUG which successfully separated three predominant Conyza species (C. bonariensis, C. canadensis, and C. sumatrensis). Phylogenetic analyses based on the cp genomes of C. bonariensis, C. canadensis and 18 other Asteraceae species revealed the potential of using entire cp genome as a plant super-barcode to distinguish closely-related weed species. Frontiers Media S.A. 2018-09-11 /pmc/articles/PMC6141629/ /pubmed/30254661 http://dx.doi.org/10.3389/fgene.2018.00374 Text en Copyright © 2018 Wang, Wu, Zhu and Lin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Wang, Aisuo
Wu, Hanwen
Zhu, Xiaocheng
Lin, Jianmin
Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing
title Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing
title_full Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing
title_fullStr Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing
title_full_unstemmed Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing
title_short Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing
title_sort species identification of conyza bonariensis assisted by chloroplast genome sequencing
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141629/
https://www.ncbi.nlm.nih.gov/pubmed/30254661
http://dx.doi.org/10.3389/fgene.2018.00374
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