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Whole-Genome Characteristics and Polymorphic Analysis of Vietnamese Rice Landraces as a Comprehensive Information Resource for Marker-Assisted Selection

Next generation sequencing technologies have provided numerous opportunities for application in the study of whole plant genomes. In this study, we present the sequencing and bioinformatic analyses of five typical rice landraces including three indica and two japonica with potential blast resistance...

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Autores principales: Trinh, Hien, Nguyen, Khoa Truong, Nguyen, Lam Van, Pham, Huy Quang, Huong, Can Thu, Xuan, Tran Dang, Anh, La Hoang, Caccamo, Mario, Ayling, Sarah, Diep, Nguyen Thuy, Nguyen, Cuong, Trung, Khuat Huu, Khanh, Tran Dang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318636/
https://www.ncbi.nlm.nih.gov/pubmed/28265566
http://dx.doi.org/10.1155/2017/9272363
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author Trinh, Hien
Nguyen, Khoa Truong
Nguyen, Lam Van
Pham, Huy Quang
Huong, Can Thu
Xuan, Tran Dang
Anh, La Hoang
Caccamo, Mario
Ayling, Sarah
Diep, Nguyen Thuy
Nguyen, Cuong
Trung, Khuat Huu
Khanh, Tran Dang
author_facet Trinh, Hien
Nguyen, Khoa Truong
Nguyen, Lam Van
Pham, Huy Quang
Huong, Can Thu
Xuan, Tran Dang
Anh, La Hoang
Caccamo, Mario
Ayling, Sarah
Diep, Nguyen Thuy
Nguyen, Cuong
Trung, Khuat Huu
Khanh, Tran Dang
author_sort Trinh, Hien
collection PubMed
description Next generation sequencing technologies have provided numerous opportunities for application in the study of whole plant genomes. In this study, we present the sequencing and bioinformatic analyses of five typical rice landraces including three indica and two japonica with potential blast resistance. A total of 688.4 million 100 bp paired-end reads have yielded approximately 30-fold coverage to compare with the Nipponbare reference genome. Among them, a small number of reads were mapped to both chromosomes and organellar genomes. Over two million and eight hundred thousand single nucleotide polymorphisms (SNPs) and insertions and deletions (InDels) in indica and japonica lines have been determined, which potentially have significant impacts on multiple transcripts of genes. SNP deserts, contiguous SNP-low regions, were found on chromosomes 1, 4, and 5 of all genomes of rice examined. Based on the distribution of SNPs per 100 kilobase pairs, the phylogenetic relationships among the landraces have been constructed. This is the first step towards revealing several salient features of rice genomes in Vietnam and providing significant information resources to further marker-assisted selection (MAS) in rice breeding programs.
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spelling pubmed-53186362017-03-06 Whole-Genome Characteristics and Polymorphic Analysis of Vietnamese Rice Landraces as a Comprehensive Information Resource for Marker-Assisted Selection Trinh, Hien Nguyen, Khoa Truong Nguyen, Lam Van Pham, Huy Quang Huong, Can Thu Xuan, Tran Dang Anh, La Hoang Caccamo, Mario Ayling, Sarah Diep, Nguyen Thuy Nguyen, Cuong Trung, Khuat Huu Khanh, Tran Dang Int J Genomics Research Article Next generation sequencing technologies have provided numerous opportunities for application in the study of whole plant genomes. In this study, we present the sequencing and bioinformatic analyses of five typical rice landraces including three indica and two japonica with potential blast resistance. A total of 688.4 million 100 bp paired-end reads have yielded approximately 30-fold coverage to compare with the Nipponbare reference genome. Among them, a small number of reads were mapped to both chromosomes and organellar genomes. Over two million and eight hundred thousand single nucleotide polymorphisms (SNPs) and insertions and deletions (InDels) in indica and japonica lines have been determined, which potentially have significant impacts on multiple transcripts of genes. SNP deserts, contiguous SNP-low regions, were found on chromosomes 1, 4, and 5 of all genomes of rice examined. Based on the distribution of SNPs per 100 kilobase pairs, the phylogenetic relationships among the landraces have been constructed. This is the first step towards revealing several salient features of rice genomes in Vietnam and providing significant information resources to further marker-assisted selection (MAS) in rice breeding programs. Hindawi Publishing Corporation 2017 2017-02-07 /pmc/articles/PMC5318636/ /pubmed/28265566 http://dx.doi.org/10.1155/2017/9272363 Text en Copyright © 2017 Hien Trinh et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Trinh, Hien
Nguyen, Khoa Truong
Nguyen, Lam Van
Pham, Huy Quang
Huong, Can Thu
Xuan, Tran Dang
Anh, La Hoang
Caccamo, Mario
Ayling, Sarah
Diep, Nguyen Thuy
Nguyen, Cuong
Trung, Khuat Huu
Khanh, Tran Dang
Whole-Genome Characteristics and Polymorphic Analysis of Vietnamese Rice Landraces as a Comprehensive Information Resource for Marker-Assisted Selection
title Whole-Genome Characteristics and Polymorphic Analysis of Vietnamese Rice Landraces as a Comprehensive Information Resource for Marker-Assisted Selection
title_full Whole-Genome Characteristics and Polymorphic Analysis of Vietnamese Rice Landraces as a Comprehensive Information Resource for Marker-Assisted Selection
title_fullStr Whole-Genome Characteristics and Polymorphic Analysis of Vietnamese Rice Landraces as a Comprehensive Information Resource for Marker-Assisted Selection
title_full_unstemmed Whole-Genome Characteristics and Polymorphic Analysis of Vietnamese Rice Landraces as a Comprehensive Information Resource for Marker-Assisted Selection
title_short Whole-Genome Characteristics and Polymorphic Analysis of Vietnamese Rice Landraces as a Comprehensive Information Resource for Marker-Assisted Selection
title_sort whole-genome characteristics and polymorphic analysis of vietnamese rice landraces as a comprehensive information resource for marker-assisted selection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318636/
https://www.ncbi.nlm.nih.gov/pubmed/28265566
http://dx.doi.org/10.1155/2017/9272363
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