In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense
Basal stem rot caused by Ganoderma boninense is the major threat to oil palm cultivation in Southeast Asia, which accounts for 80% of palm oil production worldwide, and this disease is increasing in Africa. The use of resistant planting material as part of an integrated pest management of this disease is one sustainable solution. However, breeding for Ganoderma resistance requires long-term and costly research, which could greatly benefit from marker-assisted selection (MAS). In this study, we evaluated the effectiveness of an in silico genetic mapping approach that took advantage of extensive data recorded in an ongoing breeding program. A pedigree-based QTL mapping approach applied to more than 10 years' worth of data collected during pre-nursery tests revealed the quantitative nature of Ganoderma resistance and identified underlying loci segregating in genetic diversity that is directly relevant for the breeding program supporting the study. To assess the consistency of QTL effects between pre-nursery and field environments, information was collected on the disease status of the genitors planted in genealogical gardens and modeled with pre-nursery-based QTL genotypes. In the field, individuals were less likely to be infected with Ganoderma when they carried more favorable alleles at the pre-nursery QTL. Our results pave the way for a MAS of Ganoderma resistant and high yielding planting material, and the provided proof-of-concept of this efficient and cost-effective approach could motivate similar studies based on diverse breeding programs.
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Language: | eng |
Subjects: | H20 - Maladies des plantes, F30 - Génétique et amélioration des plantes, résistance aux maladies, maladie des plantes, sélection, Elaeis guineensis, locus des caractères quantitatifs, Ganoderma, pourriture, programme d'amélioration, http://aims.fao.org/aos/agrovoc/c_2328, http://aims.fao.org/aos/agrovoc/c_5962, http://aims.fao.org/aos/agrovoc/c_6951, http://aims.fao.org/aos/agrovoc/c_2509, http://aims.fao.org/aos/agrovoc/c_37974, http://aims.fao.org/aos/agrovoc/c_15973, http://aims.fao.org/aos/agrovoc/c_6667, http://aims.fao.org/aos/agrovoc/c_1d441805, |
Online Access: | http://agritrop.cirad.fr/599350/ http://agritrop.cirad.fr/599350/1/Daval_et_al-2021-Molecular_Breeding.pdf |
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dig-cirad-fr-5993502024-06-27T16:05:49Z http://agritrop.cirad.fr/599350/ http://agritrop.cirad.fr/599350/ In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense. Daval Aurélie, Pomiès Virginie, Le Squin Sandrine, Denis Marie, Riou Virginie, Breton Frédéric, Nopariansyah, Bink Marco, Cochard Benoît, Jacob Florence, Billotte Norbert, Tisne Sébastien. 2021. Molecular Breeding, 41 (9):53, 18 p.https://doi.org/10.1007/s11032-021-01246-9 <https://doi.org/10.1007/s11032-021-01246-9> In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense Daval, Aurélie Pomiès, Virginie Le Squin, Sandrine Denis, Marie Riou, Virginie Breton, Frédéric Nopariansyah, Bink, Marco Cochard, Benoît Jacob, Florence Billotte, Norbert Tisne, Sébastien eng 2021 Molecular Breeding H20 - Maladies des plantes F30 - Génétique et amélioration des plantes résistance aux maladies maladie des plantes sélection Elaeis guineensis locus des caractères quantitatifs Ganoderma pourriture programme d'amélioration http://aims.fao.org/aos/agrovoc/c_2328 http://aims.fao.org/aos/agrovoc/c_5962 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_37974 http://aims.fao.org/aos/agrovoc/c_15973 http://aims.fao.org/aos/agrovoc/c_6667 http://aims.fao.org/aos/agrovoc/c_1d441805 Basal stem rot caused by Ganoderma boninense is the major threat to oil palm cultivation in Southeast Asia, which accounts for 80% of palm oil production worldwide, and this disease is increasing in Africa. The use of resistant planting material as part of an integrated pest management of this disease is one sustainable solution. However, breeding for Ganoderma resistance requires long-term and costly research, which could greatly benefit from marker-assisted selection (MAS). In this study, we evaluated the effectiveness of an in silico genetic mapping approach that took advantage of extensive data recorded in an ongoing breeding program. A pedigree-based QTL mapping approach applied to more than 10 years' worth of data collected during pre-nursery tests revealed the quantitative nature of Ganoderma resistance and identified underlying loci segregating in genetic diversity that is directly relevant for the breeding program supporting the study. To assess the consistency of QTL effects between pre-nursery and field environments, information was collected on the disease status of the genitors planted in genealogical gardens and modeled with pre-nursery-based QTL genotypes. In the field, individuals were less likely to be infected with Ganoderma when they carried more favorable alleles at the pre-nursery QTL. Our results pave the way for a MAS of Ganoderma resistant and high yielding planting material, and the provided proof-of-concept of this efficient and cost-effective approach could motivate similar studies based on diverse breeding programs. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/599350/1/Daval_et_al-2021-Molecular_Breeding.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/s11032-021-01246-9 10.1007/s11032-021-01246-9 info:eu-repo/semantics/altIdentifier/doi/10.1007/s11032-021-01246-9 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/s11032-021-01246-9 info:eu-repo/grantAgreement/EC/H2020/840383//(EU) Innovative Statistical modelling for a better Understanding of Longitudinal multivariate responses in relation to Omic datasets/ISULO |
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H20 - Maladies des plantes F30 - Génétique et amélioration des plantes résistance aux maladies maladie des plantes sélection Elaeis guineensis locus des caractères quantitatifs Ganoderma pourriture programme d'amélioration http://aims.fao.org/aos/agrovoc/c_2328 http://aims.fao.org/aos/agrovoc/c_5962 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_37974 http://aims.fao.org/aos/agrovoc/c_15973 http://aims.fao.org/aos/agrovoc/c_6667 http://aims.fao.org/aos/agrovoc/c_1d441805 H20 - Maladies des plantes F30 - Génétique et amélioration des plantes résistance aux maladies maladie des plantes sélection Elaeis guineensis locus des caractères quantitatifs Ganoderma pourriture programme d'amélioration http://aims.fao.org/aos/agrovoc/c_2328 http://aims.fao.org/aos/agrovoc/c_5962 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_37974 http://aims.fao.org/aos/agrovoc/c_15973 http://aims.fao.org/aos/agrovoc/c_6667 http://aims.fao.org/aos/agrovoc/c_1d441805 |
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H20 - Maladies des plantes F30 - Génétique et amélioration des plantes résistance aux maladies maladie des plantes sélection Elaeis guineensis locus des caractères quantitatifs Ganoderma pourriture programme d'amélioration http://aims.fao.org/aos/agrovoc/c_2328 http://aims.fao.org/aos/agrovoc/c_5962 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_37974 http://aims.fao.org/aos/agrovoc/c_15973 http://aims.fao.org/aos/agrovoc/c_6667 http://aims.fao.org/aos/agrovoc/c_1d441805 H20 - Maladies des plantes F30 - Génétique et amélioration des plantes résistance aux maladies maladie des plantes sélection Elaeis guineensis locus des caractères quantitatifs Ganoderma pourriture programme d'amélioration http://aims.fao.org/aos/agrovoc/c_2328 http://aims.fao.org/aos/agrovoc/c_5962 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_37974 http://aims.fao.org/aos/agrovoc/c_15973 http://aims.fao.org/aos/agrovoc/c_6667 http://aims.fao.org/aos/agrovoc/c_1d441805 Daval, Aurélie Pomiès, Virginie Le Squin, Sandrine Denis, Marie Riou, Virginie Breton, Frédéric Nopariansyah, Bink, Marco Cochard, Benoît Jacob, Florence Billotte, Norbert Tisne, Sébastien In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense |
description |
Basal stem rot caused by Ganoderma boninense is the major threat to oil palm cultivation in Southeast Asia, which accounts for 80% of palm oil production worldwide, and this disease is increasing in Africa. The use of resistant planting material as part of an integrated pest management of this disease is one sustainable solution. However, breeding for Ganoderma resistance requires long-term and costly research, which could greatly benefit from marker-assisted selection (MAS). In this study, we evaluated the effectiveness of an in silico genetic mapping approach that took advantage of extensive data recorded in an ongoing breeding program. A pedigree-based QTL mapping approach applied to more than 10 years' worth of data collected during pre-nursery tests revealed the quantitative nature of Ganoderma resistance and identified underlying loci segregating in genetic diversity that is directly relevant for the breeding program supporting the study. To assess the consistency of QTL effects between pre-nursery and field environments, information was collected on the disease status of the genitors planted in genealogical gardens and modeled with pre-nursery-based QTL genotypes. In the field, individuals were less likely to be infected with Ganoderma when they carried more favorable alleles at the pre-nursery QTL. Our results pave the way for a MAS of Ganoderma resistant and high yielding planting material, and the provided proof-of-concept of this efficient and cost-effective approach could motivate similar studies based on diverse breeding programs. |
format |
article |
topic_facet |
H20 - Maladies des plantes F30 - Génétique et amélioration des plantes résistance aux maladies maladie des plantes sélection Elaeis guineensis locus des caractères quantitatifs Ganoderma pourriture programme d'amélioration http://aims.fao.org/aos/agrovoc/c_2328 http://aims.fao.org/aos/agrovoc/c_5962 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_37974 http://aims.fao.org/aos/agrovoc/c_15973 http://aims.fao.org/aos/agrovoc/c_6667 http://aims.fao.org/aos/agrovoc/c_1d441805 |
author |
Daval, Aurélie Pomiès, Virginie Le Squin, Sandrine Denis, Marie Riou, Virginie Breton, Frédéric Nopariansyah, Bink, Marco Cochard, Benoît Jacob, Florence Billotte, Norbert Tisne, Sébastien |
author_facet |
Daval, Aurélie Pomiès, Virginie Le Squin, Sandrine Denis, Marie Riou, Virginie Breton, Frédéric Nopariansyah, Bink, Marco Cochard, Benoît Jacob, Florence Billotte, Norbert Tisne, Sébastien |
author_sort |
Daval, Aurélie |
title |
In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense |
title_short |
In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense |
title_full |
In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense |
title_fullStr |
In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense |
title_full_unstemmed |
In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense |
title_sort |
in silico qtl mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to ganoderma boninense |
url |
http://agritrop.cirad.fr/599350/ http://agritrop.cirad.fr/599350/1/Daval_et_al-2021-Molecular_Breeding.pdf |
work_keys_str_mv |
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