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Molecular diversity and genetic structure of Saccharum complex accessions
Sugarcane is an important crop for food and energy security, providing sucrose and bioethanol from sugar content and bioelectricity from lignocellulosic bagasse. In order to evaluate the diversity and genetic structure of the Brazilian Panel of Sugarcane Genotypes (BPSG), a core collection composed...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244124/ https://www.ncbi.nlm.nih.gov/pubmed/32442233 http://dx.doi.org/10.1371/journal.pone.0233211 |
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author | Medeiros, Carolina Balsalobre, Thiago Willian Almeida Carneiro, Monalisa Sampaio |
author_facet | Medeiros, Carolina Balsalobre, Thiago Willian Almeida Carneiro, Monalisa Sampaio |
author_sort | Medeiros, Carolina |
collection | PubMed |
description | Sugarcane is an important crop for food and energy security, providing sucrose and bioethanol from sugar content and bioelectricity from lignocellulosic bagasse. In order to evaluate the diversity and genetic structure of the Brazilian Panel of Sugarcane Genotypes (BPSG), a core collection composed by 254 accessions of the Saccharum complex, eight TRAP markers anchored in sucrose and lignin metabolism genes were evaluated. A total of 584 polymorphic fragments were identified and used to investigate the genetic structure of BPSG through analysis of molecular variance (AMOVA), principal components analysis (PCA), a Bayesian method using STRUCTURE software, genetic dissimilarity and phylogenetic tree. AMOVA showed a moderate genetic differentiation between ancestors and improved accessions, 0.14, and the molecular variance was higher within populations than among populations, with values of 86%, 95% and 97% when constrasting improved with ancestors, foreign with ancestors and improved with foreign, respectively. The PCA approach suggests clustering in according with evolutionary and Brazilian breeding sugarcane history, since improved accessions from older generations were positioned closer to ancestors than improved accessions from recent generations. This result was also confirmed by STRUCTURE analysis and phylogenetic tree. The Bayesian method was able to separate ancestors of the improved accessions while the phylogenetic tree showed clusters considering the family relatedness within three major clades; the first being composed mainly by ancestors and the other two mainly by improved accessions. This work can contribute to better management of the crosses considering functional regions of the sugarcane genome. |
format | Online Article Text |
id | pubmed-7244124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-72441242020-06-03 Molecular diversity and genetic structure of Saccharum complex accessions Medeiros, Carolina Balsalobre, Thiago Willian Almeida Carneiro, Monalisa Sampaio PLoS One Research Article Sugarcane is an important crop for food and energy security, providing sucrose and bioethanol from sugar content and bioelectricity from lignocellulosic bagasse. In order to evaluate the diversity and genetic structure of the Brazilian Panel of Sugarcane Genotypes (BPSG), a core collection composed by 254 accessions of the Saccharum complex, eight TRAP markers anchored in sucrose and lignin metabolism genes were evaluated. A total of 584 polymorphic fragments were identified and used to investigate the genetic structure of BPSG through analysis of molecular variance (AMOVA), principal components analysis (PCA), a Bayesian method using STRUCTURE software, genetic dissimilarity and phylogenetic tree. AMOVA showed a moderate genetic differentiation between ancestors and improved accessions, 0.14, and the molecular variance was higher within populations than among populations, with values of 86%, 95% and 97% when constrasting improved with ancestors, foreign with ancestors and improved with foreign, respectively. The PCA approach suggests clustering in according with evolutionary and Brazilian breeding sugarcane history, since improved accessions from older generations were positioned closer to ancestors than improved accessions from recent generations. This result was also confirmed by STRUCTURE analysis and phylogenetic tree. The Bayesian method was able to separate ancestors of the improved accessions while the phylogenetic tree showed clusters considering the family relatedness within three major clades; the first being composed mainly by ancestors and the other two mainly by improved accessions. This work can contribute to better management of the crosses considering functional regions of the sugarcane genome. Public Library of Science 2020-05-22 /pmc/articles/PMC7244124/ /pubmed/32442233 http://dx.doi.org/10.1371/journal.pone.0233211 Text en © 2020 Medeiros 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 (http://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 Medeiros, Carolina Balsalobre, Thiago Willian Almeida Carneiro, Monalisa Sampaio Molecular diversity and genetic structure of Saccharum complex accessions |
title | Molecular diversity and genetic structure of Saccharum complex accessions |
title_full | Molecular diversity and genetic structure of Saccharum complex accessions |
title_fullStr | Molecular diversity and genetic structure of Saccharum complex accessions |
title_full_unstemmed | Molecular diversity and genetic structure of Saccharum complex accessions |
title_short | Molecular diversity and genetic structure of Saccharum complex accessions |
title_sort | molecular diversity and genetic structure of saccharum complex accessions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244124/ https://www.ncbi.nlm.nih.gov/pubmed/32442233 http://dx.doi.org/10.1371/journal.pone.0233211 |
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