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QTL Mapping and Prediction of Haploid Male Fertility Traits in Maize (Zea mays L.)
Chromosome doubling of maize haploids is a bottleneck in the large-scale application of doubled haploid (DH) technology. Spontaneous chromosome doubling (SCD) of haploid has been taken as an important method in the production of DH lines and low haploid male fertility (HMF) is a main limiting factor...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411584/ https://www.ncbi.nlm.nih.gov/pubmed/32635223 http://dx.doi.org/10.3390/plants9070836 |
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author | Jiao, Yanyan Li, Jinlong Li, Wei Chen, Ming Li, Mengran Liu, Wenxin Liu, Chenxu Chen, Shaojiang |
author_facet | Jiao, Yanyan Li, Jinlong Li, Wei Chen, Ming Li, Mengran Liu, Wenxin Liu, Chenxu Chen, Shaojiang |
author_sort | Jiao, Yanyan |
collection | PubMed |
description | Chromosome doubling of maize haploids is a bottleneck in the large-scale application of doubled haploid (DH) technology. Spontaneous chromosome doubling (SCD) of haploid has been taken as an important method in the production of DH lines and low haploid male fertility (HMF) is a main limiting factor for the use of SCD. To study its genetic basis, haploids of 119 DH lines derived from a cross between inbred lines Qi319 and Chang7-2 were used to map the quantitative trait locus (QTL) contributing to HMF. Three traits including anther emergence rate (AER), anther emergence score (AES) and pollen production score (PPS) of the haploid population were evaluated at two locations. The heritability of the three traits ranged from 0.70 to 0.81. The QTL contributing to AER, AES and PPS were identified on the chromosomes 1, 2, 3, 4, 5, 7, 9 and 10. Five major QTL, qAER5-1, qAER5-2, qAES3, qPPS1 and qPPS5, were found and each could explain more than 15% of the phenotypic variance at least in one environment. Two major QTL, qPPS1 and qPPS5, and two minor QTL, qAES2 and qAER3, were repeatedly detected at both locations. To increase the application efficiency of HMF in breeding programs, genomic prediction for the three traits were carried out with ridge regression best linear unbiased prediction (rrBLUP) and rrBLUP adding QTL effects (rrBLUP-QTL). The prediction accuracies of rrBLUP-QTL were significantly higher than that by rrBLUP for three traits (p < 0.001), which indirectly indicates these QTL were effective. The prediction accuracies for PPS were 0.604 (rrBLUP) and 0.703 (rrBLUP-QTL) across both locations, which were higher than that of AER and AES. Overall, this study provides important information to understand the genetic architecture of SCD of maize haploids. |
format | Online Article Text |
id | pubmed-7411584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74115842020-08-17 QTL Mapping and Prediction of Haploid Male Fertility Traits in Maize (Zea mays L.) Jiao, Yanyan Li, Jinlong Li, Wei Chen, Ming Li, Mengran Liu, Wenxin Liu, Chenxu Chen, Shaojiang Plants (Basel) Article Chromosome doubling of maize haploids is a bottleneck in the large-scale application of doubled haploid (DH) technology. Spontaneous chromosome doubling (SCD) of haploid has been taken as an important method in the production of DH lines and low haploid male fertility (HMF) is a main limiting factor for the use of SCD. To study its genetic basis, haploids of 119 DH lines derived from a cross between inbred lines Qi319 and Chang7-2 were used to map the quantitative trait locus (QTL) contributing to HMF. Three traits including anther emergence rate (AER), anther emergence score (AES) and pollen production score (PPS) of the haploid population were evaluated at two locations. The heritability of the three traits ranged from 0.70 to 0.81. The QTL contributing to AER, AES and PPS were identified on the chromosomes 1, 2, 3, 4, 5, 7, 9 and 10. Five major QTL, qAER5-1, qAER5-2, qAES3, qPPS1 and qPPS5, were found and each could explain more than 15% of the phenotypic variance at least in one environment. Two major QTL, qPPS1 and qPPS5, and two minor QTL, qAES2 and qAER3, were repeatedly detected at both locations. To increase the application efficiency of HMF in breeding programs, genomic prediction for the three traits were carried out with ridge regression best linear unbiased prediction (rrBLUP) and rrBLUP adding QTL effects (rrBLUP-QTL). The prediction accuracies of rrBLUP-QTL were significantly higher than that by rrBLUP for three traits (p < 0.001), which indirectly indicates these QTL were effective. The prediction accuracies for PPS were 0.604 (rrBLUP) and 0.703 (rrBLUP-QTL) across both locations, which were higher than that of AER and AES. Overall, this study provides important information to understand the genetic architecture of SCD of maize haploids. MDPI 2020-07-03 /pmc/articles/PMC7411584/ /pubmed/32635223 http://dx.doi.org/10.3390/plants9070836 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jiao, Yanyan Li, Jinlong Li, Wei Chen, Ming Li, Mengran Liu, Wenxin Liu, Chenxu Chen, Shaojiang QTL Mapping and Prediction of Haploid Male Fertility Traits in Maize (Zea mays L.) |
title | QTL Mapping and Prediction of Haploid Male Fertility Traits in Maize (Zea mays L.) |
title_full | QTL Mapping and Prediction of Haploid Male Fertility Traits in Maize (Zea mays L.) |
title_fullStr | QTL Mapping and Prediction of Haploid Male Fertility Traits in Maize (Zea mays L.) |
title_full_unstemmed | QTL Mapping and Prediction of Haploid Male Fertility Traits in Maize (Zea mays L.) |
title_short | QTL Mapping and Prediction of Haploid Male Fertility Traits in Maize (Zea mays L.) |
title_sort | qtl mapping and prediction of haploid male fertility traits in maize (zea mays l.) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411584/ https://www.ncbi.nlm.nih.gov/pubmed/32635223 http://dx.doi.org/10.3390/plants9070836 |
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