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The ‘Tommy Atkins’ mango genome reveals candidate genes for fruit quality
BACKGROUND: Mango, Mangifera indica L., an important tropical fruit crop, is grown for its sweet and aromatic fruits. Past improvement of this species has predominantly relied on chance seedlings derived from over 1000 cultivars in the Indian sub-continent with a large variation for fruit size, yiel...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898432/ https://www.ncbi.nlm.nih.gov/pubmed/33618672 http://dx.doi.org/10.1186/s12870-021-02858-1 |
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author | Bally, Ian S. E. Bombarely, Aureliano Chambers, Alan H. Cohen, Yuval Dillon, Natalie L. Innes, David J. Islas-Osuna, María A. Kuhn, David N. Mueller, Lukas A. Ophir, Ron Rambani, Aditi Sherman, Amir Yan, Haidong |
author_facet | Bally, Ian S. E. Bombarely, Aureliano Chambers, Alan H. Cohen, Yuval Dillon, Natalie L. Innes, David J. Islas-Osuna, María A. Kuhn, David N. Mueller, Lukas A. Ophir, Ron Rambani, Aditi Sherman, Amir Yan, Haidong |
collection | PubMed |
description | BACKGROUND: Mango, Mangifera indica L., an important tropical fruit crop, is grown for its sweet and aromatic fruits. Past improvement of this species has predominantly relied on chance seedlings derived from over 1000 cultivars in the Indian sub-continent with a large variation for fruit size, yield, biotic and abiotic stress resistance, and fruit quality among other traits. Historically, mango has been an orphan crop with very limited molecular information. Only recently have molecular and genomics-based analyses enabled the creation of linkage maps, transcriptomes, and diversity analysis of large collections. Additionally, the combined analysis of genomic and phenotypic information is poised to improve mango breeding efficiency. RESULTS: This study sequenced, de novo assembled, analyzed, and annotated the genome of the monoembryonic mango cultivar ‘Tommy Atkins’. The draft genome sequence was generated using NRGene de-novo Magic on high molecular weight DNA of ‘Tommy Atkins’, supplemented by 10X Genomics long read sequencing to improve the initial assembly. A hybrid population between ‘Tommy Atkins’ x ‘Kensington Pride’ was used to generate phased haplotype chromosomes and a highly resolved phased SNP map. The final ‘Tommy Atkins’ genome assembly was a consensus sequence that included 20 pseudomolecules representing the 20 chromosomes of mango and included ~ 86% of the ~ 439 Mb haploid mango genome. Skim sequencing identified ~ 3.3 M SNPs using the ‘Tommy Atkins’ x ‘Kensington Pride’ mapping population. Repeat masking identified 26,616 genes with a median length of 3348 bp. A whole genome duplication analysis revealed an ancestral 65 MYA polyploidization event shared with Anacardium occidentale. Two regions, one on LG4 and one on LG7 containing 28 candidate genes, were associated with the commercially important fruit size characteristic in the mapping population. CONCLUSIONS: The availability of the complete ‘Tommy Atkins’ mango genome will aid global initiatives to study mango genetics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02858-1. |
format | Online Article Text |
id | pubmed-7898432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78984322021-02-23 The ‘Tommy Atkins’ mango genome reveals candidate genes for fruit quality Bally, Ian S. E. Bombarely, Aureliano Chambers, Alan H. Cohen, Yuval Dillon, Natalie L. Innes, David J. Islas-Osuna, María A. Kuhn, David N. Mueller, Lukas A. Ophir, Ron Rambani, Aditi Sherman, Amir Yan, Haidong BMC Plant Biol Research Article BACKGROUND: Mango, Mangifera indica L., an important tropical fruit crop, is grown for its sweet and aromatic fruits. Past improvement of this species has predominantly relied on chance seedlings derived from over 1000 cultivars in the Indian sub-continent with a large variation for fruit size, yield, biotic and abiotic stress resistance, and fruit quality among other traits. Historically, mango has been an orphan crop with very limited molecular information. Only recently have molecular and genomics-based analyses enabled the creation of linkage maps, transcriptomes, and diversity analysis of large collections. Additionally, the combined analysis of genomic and phenotypic information is poised to improve mango breeding efficiency. RESULTS: This study sequenced, de novo assembled, analyzed, and annotated the genome of the monoembryonic mango cultivar ‘Tommy Atkins’. The draft genome sequence was generated using NRGene de-novo Magic on high molecular weight DNA of ‘Tommy Atkins’, supplemented by 10X Genomics long read sequencing to improve the initial assembly. A hybrid population between ‘Tommy Atkins’ x ‘Kensington Pride’ was used to generate phased haplotype chromosomes and a highly resolved phased SNP map. The final ‘Tommy Atkins’ genome assembly was a consensus sequence that included 20 pseudomolecules representing the 20 chromosomes of mango and included ~ 86% of the ~ 439 Mb haploid mango genome. Skim sequencing identified ~ 3.3 M SNPs using the ‘Tommy Atkins’ x ‘Kensington Pride’ mapping population. Repeat masking identified 26,616 genes with a median length of 3348 bp. A whole genome duplication analysis revealed an ancestral 65 MYA polyploidization event shared with Anacardium occidentale. Two regions, one on LG4 and one on LG7 containing 28 candidate genes, were associated with the commercially important fruit size characteristic in the mapping population. CONCLUSIONS: The availability of the complete ‘Tommy Atkins’ mango genome will aid global initiatives to study mango genetics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02858-1. BioMed Central 2021-02-22 /pmc/articles/PMC7898432/ /pubmed/33618672 http://dx.doi.org/10.1186/s12870-021-02858-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Bally, Ian S. E. Bombarely, Aureliano Chambers, Alan H. Cohen, Yuval Dillon, Natalie L. Innes, David J. Islas-Osuna, María A. Kuhn, David N. Mueller, Lukas A. Ophir, Ron Rambani, Aditi Sherman, Amir Yan, Haidong The ‘Tommy Atkins’ mango genome reveals candidate genes for fruit quality |
title | The ‘Tommy Atkins’ mango genome reveals candidate genes for fruit quality |
title_full | The ‘Tommy Atkins’ mango genome reveals candidate genes for fruit quality |
title_fullStr | The ‘Tommy Atkins’ mango genome reveals candidate genes for fruit quality |
title_full_unstemmed | The ‘Tommy Atkins’ mango genome reveals candidate genes for fruit quality |
title_short | The ‘Tommy Atkins’ mango genome reveals candidate genes for fruit quality |
title_sort | ‘tommy atkins’ mango genome reveals candidate genes for fruit quality |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898432/ https://www.ncbi.nlm.nih.gov/pubmed/33618672 http://dx.doi.org/10.1186/s12870-021-02858-1 |
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