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Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica
BACKGROUND: The use of high throughput genome-sequencing technologies has uncovered a large extent of structural variation in eukaryotic genomes that makes important contributions to genomic diversity and phenotypic variation. When the genomes of different strains of a given organism are compared, w...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268812/ https://www.ncbi.nlm.nih.gov/pubmed/25468217 http://dx.doi.org/10.1186/s13059-014-0506-z |
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author | Schatz, Michael C Maron, Lyza G Stein, Joshua C Wences, Alejandro Hernandez Gurtowski, James Biggers, Eric Lee, Hayan Kramer, Melissa Antoniou, Eric Ghiban, Elena Wright, Mark H Chia, Jer-ming Ware, Doreen McCouch, Susan R McCombie, W Richard |
author_facet | Schatz, Michael C Maron, Lyza G Stein, Joshua C Wences, Alejandro Hernandez Gurtowski, James Biggers, Eric Lee, Hayan Kramer, Melissa Antoniou, Eric Ghiban, Elena Wright, Mark H Chia, Jer-ming Ware, Doreen McCouch, Susan R McCombie, W Richard |
author_sort | Schatz, Michael C |
collection | PubMed |
description | BACKGROUND: The use of high throughput genome-sequencing technologies has uncovered a large extent of structural variation in eukaryotic genomes that makes important contributions to genomic diversity and phenotypic variation. When the genomes of different strains of a given organism are compared, whole genome resequencing data are typically aligned to an established reference sequence. However, when the reference differs in significant structural ways from the individuals under study, the analysis is often incomplete or inaccurate. RESULTS: Here, we use rice as a model to demonstrate how improvements in sequencing and assembly technology allow rapid and inexpensive de novo assembly of next generation sequence data into high-quality assemblies that can be directly compared using whole genome alignment to provide an unbiased assessment. Using this approach, we are able to accurately assess the ‘pan-genome’ of three divergent rice varieties and document several megabases of each genome absent in the other two. CONCLUSIONS: Many of the genome-specific loci are annotated to contain genes, reflecting the potential for new biological properties that would be missed by standard reference-mapping approaches. We further provide a detailed analysis of several loci associated with agriculturally important traits, including the S5 hybrid sterility locus, the Sub1 submergence tolerance locus, the LRK gene cluster associated with improved yield, and the Pup1 cluster associated with phosphorus deficiency, illustrating the utility of our approach for biological discovery. All of the data and software are openly available to support further breeding and functional studies of rice and other species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-014-0506-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4268812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42688122014-12-17 Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica Schatz, Michael C Maron, Lyza G Stein, Joshua C Wences, Alejandro Hernandez Gurtowski, James Biggers, Eric Lee, Hayan Kramer, Melissa Antoniou, Eric Ghiban, Elena Wright, Mark H Chia, Jer-ming Ware, Doreen McCouch, Susan R McCombie, W Richard Genome Biol Research BACKGROUND: The use of high throughput genome-sequencing technologies has uncovered a large extent of structural variation in eukaryotic genomes that makes important contributions to genomic diversity and phenotypic variation. When the genomes of different strains of a given organism are compared, whole genome resequencing data are typically aligned to an established reference sequence. However, when the reference differs in significant structural ways from the individuals under study, the analysis is often incomplete or inaccurate. RESULTS: Here, we use rice as a model to demonstrate how improvements in sequencing and assembly technology allow rapid and inexpensive de novo assembly of next generation sequence data into high-quality assemblies that can be directly compared using whole genome alignment to provide an unbiased assessment. Using this approach, we are able to accurately assess the ‘pan-genome’ of three divergent rice varieties and document several megabases of each genome absent in the other two. CONCLUSIONS: Many of the genome-specific loci are annotated to contain genes, reflecting the potential for new biological properties that would be missed by standard reference-mapping approaches. We further provide a detailed analysis of several loci associated with agriculturally important traits, including the S5 hybrid sterility locus, the Sub1 submergence tolerance locus, the LRK gene cluster associated with improved yield, and the Pup1 cluster associated with phosphorus deficiency, illustrating the utility of our approach for biological discovery. All of the data and software are openly available to support further breeding and functional studies of rice and other species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-014-0506-z) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-03 2014 /pmc/articles/PMC4268812/ /pubmed/25468217 http://dx.doi.org/10.1186/s13059-014-0506-z Text en © Schatz et al.; licensee BioMed Central Ltd. 2014 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 work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Schatz, Michael C Maron, Lyza G Stein, Joshua C Wences, Alejandro Hernandez Gurtowski, James Biggers, Eric Lee, Hayan Kramer, Melissa Antoniou, Eric Ghiban, Elena Wright, Mark H Chia, Jer-ming Ware, Doreen McCouch, Susan R McCombie, W Richard Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica |
title | Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica |
title_full | Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica |
title_fullStr | Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica |
title_full_unstemmed | Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica |
title_short | Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica |
title_sort | whole genome de novo assemblies of three divergent strains of rice, oryza sativa, document novel gene space of aus and indica |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268812/ https://www.ncbi.nlm.nih.gov/pubmed/25468217 http://dx.doi.org/10.1186/s13059-014-0506-z |
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