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Haplotype mining panel for genetic dissection and breeding in Eucalyptus

To improve our understanding of genetic mechanisms underlying complex traits in plants, a comprehensive analysis of gene variants is required. Eucalyptus is an important forest plantation genus that is highly outbred. Trait dissection and molecular breeding in eucalypts currently relies on biallelic...

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Autores principales: Candotti, Julia, Christie, Nanette, Ployet, Raphael, Mostert‐O'Neill, Marja M., Reynolds, S. Melissa, Neves, Leandro Gomide, Naidoo, Sanushka, Mizrachi, Eshchar, Duong, Tuan A., Myburg, Alexander A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107644/
https://www.ncbi.nlm.nih.gov/pubmed/36394447
http://dx.doi.org/10.1111/tpj.16026
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author Candotti, Julia
Christie, Nanette
Ployet, Raphael
Mostert‐O'Neill, Marja M.
Reynolds, S. Melissa
Neves, Leandro Gomide
Naidoo, Sanushka
Mizrachi, Eshchar
Duong, Tuan A.
Myburg, Alexander A.
author_facet Candotti, Julia
Christie, Nanette
Ployet, Raphael
Mostert‐O'Neill, Marja M.
Reynolds, S. Melissa
Neves, Leandro Gomide
Naidoo, Sanushka
Mizrachi, Eshchar
Duong, Tuan A.
Myburg, Alexander A.
author_sort Candotti, Julia
collection PubMed
description To improve our understanding of genetic mechanisms underlying complex traits in plants, a comprehensive analysis of gene variants is required. Eucalyptus is an important forest plantation genus that is highly outbred. Trait dissection and molecular breeding in eucalypts currently relies on biallelic single‐nucleotide polymorphism (SNP) markers. These markers fail to capture the large amount of haplotype diversity in these species, and thus multi‐allelic markers are required. We aimed to develop a gene‐based haplotype mining panel for Eucalyptus species. We generated 17 999 oligonucleotide probe sets for targeted sequencing of selected regions of 6293 genes implicated in growth and wood properties, pest and disease resistance, and abiotic stress responses. We identified and phased 195 834 SNPs using a read‐based phasing approach to reveal SNP‐based haplotypes. A total of 8915 target regions (at 4637 gene loci) passed tests for Mendelian inheritance. We evaluated the haplotype panel in four Eucalyptus species (E. grandis, E. urophylla, E. dunnii and E. nitens) to determine its ability to capture diversity across eucalypt species. This revealed an average of 3.13–4.52 haplotypes per target region in each species, and 33.36% of the identified haplotypes were shared by at least two species. This haplotype mining panel will enable the analysis of haplotype diversity within and between species, and provide multi‐allelic markers that can be used for genome‐wide association studies and gene‐based breeding approaches.
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spelling pubmed-101076442023-04-18 Haplotype mining panel for genetic dissection and breeding in Eucalyptus Candotti, Julia Christie, Nanette Ployet, Raphael Mostert‐O'Neill, Marja M. Reynolds, S. Melissa Neves, Leandro Gomide Naidoo, Sanushka Mizrachi, Eshchar Duong, Tuan A. Myburg, Alexander A. Plant J Resource To improve our understanding of genetic mechanisms underlying complex traits in plants, a comprehensive analysis of gene variants is required. Eucalyptus is an important forest plantation genus that is highly outbred. Trait dissection and molecular breeding in eucalypts currently relies on biallelic single‐nucleotide polymorphism (SNP) markers. These markers fail to capture the large amount of haplotype diversity in these species, and thus multi‐allelic markers are required. We aimed to develop a gene‐based haplotype mining panel for Eucalyptus species. We generated 17 999 oligonucleotide probe sets for targeted sequencing of selected regions of 6293 genes implicated in growth and wood properties, pest and disease resistance, and abiotic stress responses. We identified and phased 195 834 SNPs using a read‐based phasing approach to reveal SNP‐based haplotypes. A total of 8915 target regions (at 4637 gene loci) passed tests for Mendelian inheritance. We evaluated the haplotype panel in four Eucalyptus species (E. grandis, E. urophylla, E. dunnii and E. nitens) to determine its ability to capture diversity across eucalypt species. This revealed an average of 3.13–4.52 haplotypes per target region in each species, and 33.36% of the identified haplotypes were shared by at least two species. This haplotype mining panel will enable the analysis of haplotype diversity within and between species, and provide multi‐allelic markers that can be used for genome‐wide association studies and gene‐based breeding approaches. John Wiley and Sons Inc. 2022-12-21 2023-01 /pmc/articles/PMC10107644/ /pubmed/36394447 http://dx.doi.org/10.1111/tpj.16026 Text en © 2022 The Authors. The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Resource
Candotti, Julia
Christie, Nanette
Ployet, Raphael
Mostert‐O'Neill, Marja M.
Reynolds, S. Melissa
Neves, Leandro Gomide
Naidoo, Sanushka
Mizrachi, Eshchar
Duong, Tuan A.
Myburg, Alexander A.
Haplotype mining panel for genetic dissection and breeding in Eucalyptus
title Haplotype mining panel for genetic dissection and breeding in Eucalyptus
title_full Haplotype mining panel for genetic dissection and breeding in Eucalyptus
title_fullStr Haplotype mining panel for genetic dissection and breeding in Eucalyptus
title_full_unstemmed Haplotype mining panel for genetic dissection and breeding in Eucalyptus
title_short Haplotype mining panel for genetic dissection and breeding in Eucalyptus
title_sort haplotype mining panel for genetic dissection and breeding in eucalyptus
topic Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107644/
https://www.ncbi.nlm.nih.gov/pubmed/36394447
http://dx.doi.org/10.1111/tpj.16026
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