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Regional Heritability Mapping Provides Insights into Dry Matter Content in African White and Yellow Cassava Populations

The HarvestPlus program for cassava (Manihot esculenta Crantz) fortifies cassava with β-carotene by breeding for carotene-rich tubers (yellow cassava). However, a negative correlation between yellowness and dry matter (DM) content has been identified. We investigated the genetic control of DM in whi...

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Autores principales: Okeke, Uche Godfrey, Akdemir, Deniz, Rabbi, Ismail, Kulakow, Peter, Jannink, Jean-Luc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Plant Genome 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822058/
https://www.ncbi.nlm.nih.gov/pubmed/29505634
http://dx.doi.org/10.3835/plantgenome2017.06.0050
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author Okeke, Uche Godfrey
Akdemir, Deniz
Rabbi, Ismail
Kulakow, Peter
Jannink, Jean-Luc
author_facet Okeke, Uche Godfrey
Akdemir, Deniz
Rabbi, Ismail
Kulakow, Peter
Jannink, Jean-Luc
author_sort Okeke, Uche Godfrey
collection PubMed
description The HarvestPlus program for cassava (Manihot esculenta Crantz) fortifies cassava with β-carotene by breeding for carotene-rich tubers (yellow cassava). However, a negative correlation between yellowness and dry matter (DM) content has been identified. We investigated the genetic control of DM in white and yellow cassava. We used regional heritability mapping (RHM) to associate DM with genomic segments in both subpopulations. Significant segments were subjected to candidate gene analysis and candidates were validated with prediction accuracies. The RHM procedure was validated via a simulation approach and revealed significant hits for white cassava on chromosomes 1, 4, 5, 10, 17, and 18, whereas hits for the yellow were on chromosome 1. Candidate gene analysis revealed genes in the carbohydrate biosynthesis pathway including plant serine–threonine protein kinases (SnRKs), UDP (uridine diphosphate)-glycosyltransferases, UDP-sugar transporters, invertases, pectinases, and regulons. Validation using 1252 unique identifiers from the SnRK gene family genome-wide recovered 50% of the predictive accuracy of whole-genome single nucleotide polymorphisms for DM, whereas validation using 53 likely genes (extracted from the literature) from significant segments recovered 32%. Genes including an acid invertase, a neutral or alkaline invertase, and a glucose-6-phosphate isomerase were validated on the basis of an a priori list for the cassava starch pathway, and also a fructose-biphosphate aldolase from the Calvin cycle pathway. The power of the RHM procedure was estimated as 47% when the causal quantitative trait loci generated 10% of the phenotypic variance (sample size = 451). Cassava DM genetics are complex and RHM may be useful for complex traits.
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spelling pubmed-78220582021-02-03 Regional Heritability Mapping Provides Insights into Dry Matter Content in African White and Yellow Cassava Populations Okeke, Uche Godfrey Akdemir, Deniz Rabbi, Ismail Kulakow, Peter Jannink, Jean-Luc Plant Genome Original Research The HarvestPlus program for cassava (Manihot esculenta Crantz) fortifies cassava with β-carotene by breeding for carotene-rich tubers (yellow cassava). However, a negative correlation between yellowness and dry matter (DM) content has been identified. We investigated the genetic control of DM in white and yellow cassava. We used regional heritability mapping (RHM) to associate DM with genomic segments in both subpopulations. Significant segments were subjected to candidate gene analysis and candidates were validated with prediction accuracies. The RHM procedure was validated via a simulation approach and revealed significant hits for white cassava on chromosomes 1, 4, 5, 10, 17, and 18, whereas hits for the yellow were on chromosome 1. Candidate gene analysis revealed genes in the carbohydrate biosynthesis pathway including plant serine–threonine protein kinases (SnRKs), UDP (uridine diphosphate)-glycosyltransferases, UDP-sugar transporters, invertases, pectinases, and regulons. Validation using 1252 unique identifiers from the SnRK gene family genome-wide recovered 50% of the predictive accuracy of whole-genome single nucleotide polymorphisms for DM, whereas validation using 53 likely genes (extracted from the literature) from significant segments recovered 32%. Genes including an acid invertase, a neutral or alkaline invertase, and a glucose-6-phosphate isomerase were validated on the basis of an a priori list for the cassava starch pathway, and also a fructose-biphosphate aldolase from the Calvin cycle pathway. The power of the RHM procedure was estimated as 47% when the causal quantitative trait loci generated 10% of the phenotypic variance (sample size = 451). Cassava DM genetics are complex and RHM may be useful for complex traits. Plant Genome 2017-12-22 2018 /pmc/articles/PMC7822058/ /pubmed/29505634 http://dx.doi.org/10.3835/plantgenome2017.06.0050 Text en © 2018 Crop Science Society of America http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the CC BY license.
spellingShingle Original Research
Okeke, Uche Godfrey
Akdemir, Deniz
Rabbi, Ismail
Kulakow, Peter
Jannink, Jean-Luc
Regional Heritability Mapping Provides Insights into Dry Matter Content in African White and Yellow Cassava Populations
title Regional Heritability Mapping Provides Insights into Dry Matter Content in African White and Yellow Cassava Populations
title_full Regional Heritability Mapping Provides Insights into Dry Matter Content in African White and Yellow Cassava Populations
title_fullStr Regional Heritability Mapping Provides Insights into Dry Matter Content in African White and Yellow Cassava Populations
title_full_unstemmed Regional Heritability Mapping Provides Insights into Dry Matter Content in African White and Yellow Cassava Populations
title_short Regional Heritability Mapping Provides Insights into Dry Matter Content in African White and Yellow Cassava Populations
title_sort regional heritability mapping provides insights into dry matter content in african white and yellow cassava populations
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822058/
https://www.ncbi.nlm.nih.gov/pubmed/29505634
http://dx.doi.org/10.3835/plantgenome2017.06.0050
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