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QTL mapping and identification of SNP-haplotypes affecting yield components of Theobroma cacao L.

Cacao is a crop of global relevance that faces constant demands for improved bean yield. However, little is known about the genomic regions controlling the crop yield and genes involved in cacao bean filling. Hence, to identify the quantitative trait loci (QTL) associated with cacao yield and bean f...

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Autores principales: Fernandes, Luciel dos Santos, Correa, Fábio M., Ingram, Keith T., de Almeida, Alex-Alan Furtado, Royaert, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049306/
https://www.ncbi.nlm.nih.gov/pubmed/32140235
http://dx.doi.org/10.1038/s41438-020-0250-3
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author Fernandes, Luciel dos Santos
Correa, Fábio M.
Ingram, Keith T.
de Almeida, Alex-Alan Furtado
Royaert, Stefan
author_facet Fernandes, Luciel dos Santos
Correa, Fábio M.
Ingram, Keith T.
de Almeida, Alex-Alan Furtado
Royaert, Stefan
author_sort Fernandes, Luciel dos Santos
collection PubMed
description Cacao is a crop of global relevance that faces constant demands for improved bean yield. However, little is known about the genomic regions controlling the crop yield and genes involved in cacao bean filling. Hence, to identify the quantitative trait loci (QTL) associated with cacao yield and bean filling, we performed a QTL mapping in a segregating mapping population comprising 459 trees of a cross between ‘TSH 1188’ and ‘CCN 51’. All variables showed considerable phenotypic variation and had moderate to high heritability values. We identified 24 QTLs using a genetic linkage map that contains 3526 single nucleotide polymorphism (SNP) markers. Haplotype analysis at the significant QTL region on chromosome IV pointed to the alleles from the maternal parent, ‘TSH 1188’, as the ones that affect the cacao yield components the most. The recombination events identified within these QTL regions allowed us to identify candidate genes that may take part in the different steps of pod growth and bean filling. Such candidate genes seem to play a significant role in the source-to-sink transport of sugars and amino acids, and lipid metabolism, such as fatty acid production. The SNP markers mapped in our study are now being used to select potential high-yielding cacao varieties through marker-assisted selection in our existing cacao-breeding experiments.
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spelling pubmed-70493062020-03-05 QTL mapping and identification of SNP-haplotypes affecting yield components of Theobroma cacao L. Fernandes, Luciel dos Santos Correa, Fábio M. Ingram, Keith T. de Almeida, Alex-Alan Furtado Royaert, Stefan Hortic Res Article Cacao is a crop of global relevance that faces constant demands for improved bean yield. However, little is known about the genomic regions controlling the crop yield and genes involved in cacao bean filling. Hence, to identify the quantitative trait loci (QTL) associated with cacao yield and bean filling, we performed a QTL mapping in a segregating mapping population comprising 459 trees of a cross between ‘TSH 1188’ and ‘CCN 51’. All variables showed considerable phenotypic variation and had moderate to high heritability values. We identified 24 QTLs using a genetic linkage map that contains 3526 single nucleotide polymorphism (SNP) markers. Haplotype analysis at the significant QTL region on chromosome IV pointed to the alleles from the maternal parent, ‘TSH 1188’, as the ones that affect the cacao yield components the most. The recombination events identified within these QTL regions allowed us to identify candidate genes that may take part in the different steps of pod growth and bean filling. Such candidate genes seem to play a significant role in the source-to-sink transport of sugars and amino acids, and lipid metabolism, such as fatty acid production. The SNP markers mapped in our study are now being used to select potential high-yielding cacao varieties through marker-assisted selection in our existing cacao-breeding experiments. Nature Publishing Group UK 2020-03-01 /pmc/articles/PMC7049306/ /pubmed/32140235 http://dx.doi.org/10.1038/s41438-020-0250-3 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Fernandes, Luciel dos Santos
Correa, Fábio M.
Ingram, Keith T.
de Almeida, Alex-Alan Furtado
Royaert, Stefan
QTL mapping and identification of SNP-haplotypes affecting yield components of Theobroma cacao L.
title QTL mapping and identification of SNP-haplotypes affecting yield components of Theobroma cacao L.
title_full QTL mapping and identification of SNP-haplotypes affecting yield components of Theobroma cacao L.
title_fullStr QTL mapping and identification of SNP-haplotypes affecting yield components of Theobroma cacao L.
title_full_unstemmed QTL mapping and identification of SNP-haplotypes affecting yield components of Theobroma cacao L.
title_short QTL mapping and identification of SNP-haplotypes affecting yield components of Theobroma cacao L.
title_sort qtl mapping and identification of snp-haplotypes affecting yield components of theobroma cacao l.
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049306/
https://www.ncbi.nlm.nih.gov/pubmed/32140235
http://dx.doi.org/10.1038/s41438-020-0250-3
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