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Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize

The grain filling rate (GFR) is an important dynamic trait that determines the final grain yield and is controlled by a network of genes and environment factors. To determine the genetic basis of the GFR, a conditional quantitative trait locus (QTL) analysis method was conducted using time-related p...

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Autores principales: Zhang, Zhanhui, Liu, Zonghua, Cui, Zitian, Hu, Yanmin, Wang, Bin, Tang, Jihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575436/
https://www.ncbi.nlm.nih.gov/pubmed/23441180
http://dx.doi.org/10.1371/journal.pone.0056344
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author Zhang, Zhanhui
Liu, Zonghua
Cui, Zitian
Hu, Yanmin
Wang, Bin
Tang, Jihua
author_facet Zhang, Zhanhui
Liu, Zonghua
Cui, Zitian
Hu, Yanmin
Wang, Bin
Tang, Jihua
author_sort Zhang, Zhanhui
collection PubMed
description The grain filling rate (GFR) is an important dynamic trait that determines the final grain yield and is controlled by a network of genes and environment factors. To determine the genetic basis of the GFR, a conditional quantitative trait locus (QTL) analysis method was conducted using time-related phenotypic values of the GFR collected from a set of 243 immortalized F(2) (IF(2)) population, which were evaluated at two locations over 2 years. The GFR gradually rose in the 0–15 days after pollination (DAP) and 16–22 DAP, reaching a maximum at 23–29 DAP, and then gradually decreasing. The variation of kernel weight (KW) was mainly decided by the GFR, and not by the grain filling duration (GFD). Thirty-three different unconditional QTLs were identified for the GFR at the six sampling stages over 2 years. Among them, QTLs qGFR7b, qGFR9 and qGFR6d were identified at the same stages at two locations over 2 years. In addition, 14 conditional QTLs for GFR were detected at five stages. The conditional QTL qGFR7c was identified at stage V|IV (37–43 DAP) at two locations over 2 years, and qGFR7b was detected at the sixth stage (44–50 DAP) in all four environments, except at Anyang location in 2009. QTLs qQTL7b and qQTL6f were identified by unconditional and conditional QTL mapping at the same stages, and might represent major QTLs for regulating the GFR in maize in the IF(2) population. Moreover, most of the QTLs identified were co-located with QTLs from previous studies that were associated with GFR, enzyme activities of starch synthesis, soluble carbohydrates, and grain filling related genes. These results indicated that the GFR is regulated by many genes, which are specifically expressed at different grain filling stages, and the specific expression of the genes between 16–35 DAP might be very important for deciding the final kernel weight.
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spelling pubmed-35754362013-02-25 Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize Zhang, Zhanhui Liu, Zonghua Cui, Zitian Hu, Yanmin Wang, Bin Tang, Jihua PLoS One Research Article The grain filling rate (GFR) is an important dynamic trait that determines the final grain yield and is controlled by a network of genes and environment factors. To determine the genetic basis of the GFR, a conditional quantitative trait locus (QTL) analysis method was conducted using time-related phenotypic values of the GFR collected from a set of 243 immortalized F(2) (IF(2)) population, which were evaluated at two locations over 2 years. The GFR gradually rose in the 0–15 days after pollination (DAP) and 16–22 DAP, reaching a maximum at 23–29 DAP, and then gradually decreasing. The variation of kernel weight (KW) was mainly decided by the GFR, and not by the grain filling duration (GFD). Thirty-three different unconditional QTLs were identified for the GFR at the six sampling stages over 2 years. Among them, QTLs qGFR7b, qGFR9 and qGFR6d were identified at the same stages at two locations over 2 years. In addition, 14 conditional QTLs for GFR were detected at five stages. The conditional QTL qGFR7c was identified at stage V|IV (37–43 DAP) at two locations over 2 years, and qGFR7b was detected at the sixth stage (44–50 DAP) in all four environments, except at Anyang location in 2009. QTLs qQTL7b and qQTL6f were identified by unconditional and conditional QTL mapping at the same stages, and might represent major QTLs for regulating the GFR in maize in the IF(2) population. Moreover, most of the QTLs identified were co-located with QTLs from previous studies that were associated with GFR, enzyme activities of starch synthesis, soluble carbohydrates, and grain filling related genes. These results indicated that the GFR is regulated by many genes, which are specifically expressed at different grain filling stages, and the specific expression of the genes between 16–35 DAP might be very important for deciding the final kernel weight. Public Library of Science 2013-02-18 /pmc/articles/PMC3575436/ /pubmed/23441180 http://dx.doi.org/10.1371/journal.pone.0056344 Text en © 2013 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zhang, Zhanhui
Liu, Zonghua
Cui, Zitian
Hu, Yanmin
Wang, Bin
Tang, Jihua
Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize
title Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize
title_full Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize
title_fullStr Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize
title_full_unstemmed Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize
title_short Genetic Analysis of Grain Filling Rate Using Conditional QTL Mapping in Maize
title_sort genetic analysis of grain filling rate using conditional qtl mapping in maize
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575436/
https://www.ncbi.nlm.nih.gov/pubmed/23441180
http://dx.doi.org/10.1371/journal.pone.0056344
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