Prediction of crossover recombination using parental genomes

Meiotic recombination is a crucial cellular process, being one of the major drivers of evolution and adaptation of species. In plant breeding, crossing is used to introduce genetic variation among individuals and populations. While different approaches to predict recombination rates for different sp...

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Autores principales: Peñuela, Mauricio, Riccio-Rengifo, Camila, Finke, Jorge, Rocha, Camilo, Gkanogiannis, Anestis, Wing, Rod A., Lorieux, Mathias
Formato: Journal Article
Lenguaje:Inglés
Publicado: 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/132658
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author Peñuela, Mauricio
Riccio-Rengifo, Camila
Finke, Jorge
Rocha, Camilo
Gkanogiannis, Anestis
Wing, Rod A.
Lorieux, Mathias
author_browse Finke, Jorge
Gkanogiannis, Anestis
Lorieux, Mathias
Peñuela, Mauricio
Riccio-Rengifo, Camila
Rocha, Camilo
Wing, Rod A.
author_facet Peñuela, Mauricio
Riccio-Rengifo, Camila
Finke, Jorge
Rocha, Camilo
Gkanogiannis, Anestis
Wing, Rod A.
Lorieux, Mathias
author_sort Peñuela, Mauricio
collection Repository of Agricultural Research Outputs (CGSpace)
description Meiotic recombination is a crucial cellular process, being one of the major drivers of evolution and adaptation of species. In plant breeding, crossing is used to introduce genetic variation among individuals and populations. While different approaches to predict recombination rates for different species have been developed, they fail to estimate the outcome of crossings between two specific accessions. This paper builds on the hypothesis that chromosomal recombination correlates positively to a measure of sequence identity. It presents a model that uses sequence identity, combined with other features derived from a genome alignment (including the number of variants, inversions, absent bases, and CentO sequences) to predict local chromosomal recombination in rice. Model performance is validated in an inter-subspecific indica x japonica cross, using 212 recombinant inbred lines. Across chromosomes, an average correlation of about 0.8 between experimental and prediction rates is achieved. The proposed model, a characterization of the variation of the recombination rates along the chromosomes, can enable breeding programs to increase the chances of creating novel allele combinations and, more generally, to introduce new varieties with a collection of desirable traits. It can be part of a modern panel of tools that breeders can use to reduce costs and execution times of crossing experiments.
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spelling CGSpace1326582025-11-11T17:44:42Z Prediction of crossover recombination using parental genomes Peñuela, Mauricio Riccio-Rengifo, Camila Finke, Jorge Rocha, Camilo Gkanogiannis, Anestis Wing, Rod A. Lorieux, Mathias genomes plant breeding oryza recombination crossing over Meiotic recombination is a crucial cellular process, being one of the major drivers of evolution and adaptation of species. In plant breeding, crossing is used to introduce genetic variation among individuals and populations. While different approaches to predict recombination rates for different species have been developed, they fail to estimate the outcome of crossings between two specific accessions. This paper builds on the hypothesis that chromosomal recombination correlates positively to a measure of sequence identity. It presents a model that uses sequence identity, combined with other features derived from a genome alignment (including the number of variants, inversions, absent bases, and CentO sequences) to predict local chromosomal recombination in rice. Model performance is validated in an inter-subspecific indica x japonica cross, using 212 recombinant inbred lines. Across chromosomes, an average correlation of about 0.8 between experimental and prediction rates is achieved. The proposed model, a characterization of the variation of the recombination rates along the chromosomes, can enable breeding programs to increase the chances of creating novel allele combinations and, more generally, to introduce new varieties with a collection of desirable traits. It can be part of a modern panel of tools that breeders can use to reduce costs and execution times of crossing experiments. 2023-02-16 2023-11-02T08:50:57Z 2023-11-02T08:50:57Z Journal Article https://hdl.handle.net/10568/132658 en Open Access application/pdf Peñuela, M.; Riccio-Rengifo, C.; Finke, J.; Rocha, C.; Gkanogiannis, A.; Wing, R.A.; Lorieux, M. (2023) Prediction of crossover recombination using parental genomes. PLoS ONE 18(2): e0281804. ISSN: 1932-6203
spellingShingle genomes
plant breeding
oryza
recombination
crossing over
Peñuela, Mauricio
Riccio-Rengifo, Camila
Finke, Jorge
Rocha, Camilo
Gkanogiannis, Anestis
Wing, Rod A.
Lorieux, Mathias
Prediction of crossover recombination using parental genomes
title Prediction of crossover recombination using parental genomes
title_full Prediction of crossover recombination using parental genomes
title_fullStr Prediction of crossover recombination using parental genomes
title_full_unstemmed Prediction of crossover recombination using parental genomes
title_short Prediction of crossover recombination using parental genomes
title_sort prediction of crossover recombination using parental genomes
topic genomes
plant breeding
oryza
recombination
crossing over
url https://hdl.handle.net/10568/132658
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