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Hierarchical additive effects on heterosis in rice (Oryza sativa L.).

Dan Z, Hu J, Zhou W, Yao G, Zhu R, Huang W, Zhu Y - Front Plant Sci (2015)

Bottom Line: The results of the relative mid-parent heterosis and modes of inheritance of all investigated traits demonstrated that additive effects were the foundation of heterosis for complex traits in a hierarchical structure, and multiplicative interactions among the component traits were the framework of heterosis in complex traits.Additive multiplicative interactions of component traits were proven to be the origin of heterosis in complex traits.Meanwhile, more attention should be paid to component traits, rather than complex traits, in the process of revealing the mechanism of heterosis.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University Wuhan, China ; Key Laboratory for Research and Utilization of Heterosis in Indica Rice, Ministry of Agriculture, Wuhan University Wuhan, China ; The Yangzte River Valley Hybrid Rice Collaboration Innovation Center, Wuhan University Wuhan, China.

ABSTRACT
Exploitation of heterosis in crops has contributed greatly to improvement in global food and energy production. In spite of the pervasive importance of heterosis, a complete understanding of its mechanisms has remained elusive. In this study, a small test-crossed rice population was constructed to investigate the formation mechanism of heterosis for 13 traits. The results of the relative mid-parent heterosis and modes of inheritance of all investigated traits demonstrated that additive effects were the foundation of heterosis for complex traits in a hierarchical structure, and multiplicative interactions among the component traits were the framework of heterosis in complex traits. Furthermore, new balances between unit traits and related component traits provided hybrids with the opportunity to achieve an optimal degree of heterosis for complex traits. This study dissected heterosis of both reproductive and vegetative traits from the perspective of hierarchical structure for the first time. Additive multiplicative interactions of component traits were proven to be the origin of heterosis in complex traits. Meanwhile, more attention should be paid to component traits, rather than complex traits, in the process of revealing the mechanism of heterosis.

No MeSH data available.


Histograms of MPH for the PBN, SBN, GNP and yield per plant, respectively. MPH for the PBN, SBN, GNP, and YPP of the hybrid population were calculated to study the changes in the degrees of heterosis for different traits. For MPH-PBN and MPH-SBN, the mean values were 0.0357 (A) and -0.0173 (B), respectively. For MPH-GNP, the mean value was 0.109 (C), which was much larger than the values of the primary and secondary branch number. For MPH-YPP (D), the mean value was up to 0.9063. The low degree of heterosis in the component traits accumulated to form a high degree of heterosis in the complex traits. The repeated times of the raw data for PBN and SBN are about 114. N, number of the hybrids; SD, standard deviation.
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Figure 2: Histograms of MPH for the PBN, SBN, GNP and yield per plant, respectively. MPH for the PBN, SBN, GNP, and YPP of the hybrid population were calculated to study the changes in the degrees of heterosis for different traits. For MPH-PBN and MPH-SBN, the mean values were 0.0357 (A) and -0.0173 (B), respectively. For MPH-GNP, the mean value was 0.109 (C), which was much larger than the values of the primary and secondary branch number. For MPH-YPP (D), the mean value was up to 0.9063. The low degree of heterosis in the component traits accumulated to form a high degree of heterosis in the complex traits. The repeated times of the raw data for PBN and SBN are about 114. N, number of the hybrids; SD, standard deviation.

Mentions: Statistics of the MPH for all 13 traits in Table 1 showed that, except for the SBN, all remaining traits manifested positive MPH. The highest average value of MPH was YPP, which was up to 0.906. Compared with YPP, the values of its component traits, such as TPP, GNP, SSR, and TGW, were smaller. Additionally, when we compared MPH-GNP and its component traits-primary branch number (MPH-PBN) and secondary branch number (MPH-SBN), the values for PBN and SBN were also smaller (Figure 2). The low degree of heterosis in the component traits combined to form a large magnitude of heterosis in complex traits.


Hierarchical additive effects on heterosis in rice (Oryza sativa L.).

Dan Z, Hu J, Zhou W, Yao G, Zhu R, Huang W, Zhu Y - Front Plant Sci (2015)

Histograms of MPH for the PBN, SBN, GNP and yield per plant, respectively. MPH for the PBN, SBN, GNP, and YPP of the hybrid population were calculated to study the changes in the degrees of heterosis for different traits. For MPH-PBN and MPH-SBN, the mean values were 0.0357 (A) and -0.0173 (B), respectively. For MPH-GNP, the mean value was 0.109 (C), which was much larger than the values of the primary and secondary branch number. For MPH-YPP (D), the mean value was up to 0.9063. The low degree of heterosis in the component traits accumulated to form a high degree of heterosis in the complex traits. The repeated times of the raw data for PBN and SBN are about 114. N, number of the hybrids; SD, standard deviation.
© Copyright Policy
Related In: Results  -  Collection

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Figure 2: Histograms of MPH for the PBN, SBN, GNP and yield per plant, respectively. MPH for the PBN, SBN, GNP, and YPP of the hybrid population were calculated to study the changes in the degrees of heterosis for different traits. For MPH-PBN and MPH-SBN, the mean values were 0.0357 (A) and -0.0173 (B), respectively. For MPH-GNP, the mean value was 0.109 (C), which was much larger than the values of the primary and secondary branch number. For MPH-YPP (D), the mean value was up to 0.9063. The low degree of heterosis in the component traits accumulated to form a high degree of heterosis in the complex traits. The repeated times of the raw data for PBN and SBN are about 114. N, number of the hybrids; SD, standard deviation.
Mentions: Statistics of the MPH for all 13 traits in Table 1 showed that, except for the SBN, all remaining traits manifested positive MPH. The highest average value of MPH was YPP, which was up to 0.906. Compared with YPP, the values of its component traits, such as TPP, GNP, SSR, and TGW, were smaller. Additionally, when we compared MPH-GNP and its component traits-primary branch number (MPH-PBN) and secondary branch number (MPH-SBN), the values for PBN and SBN were also smaller (Figure 2). The low degree of heterosis in the component traits combined to form a large magnitude of heterosis in complex traits.

Bottom Line: The results of the relative mid-parent heterosis and modes of inheritance of all investigated traits demonstrated that additive effects were the foundation of heterosis for complex traits in a hierarchical structure, and multiplicative interactions among the component traits were the framework of heterosis in complex traits.Additive multiplicative interactions of component traits were proven to be the origin of heterosis in complex traits.Meanwhile, more attention should be paid to component traits, rather than complex traits, in the process of revealing the mechanism of heterosis.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University Wuhan, China ; Key Laboratory for Research and Utilization of Heterosis in Indica Rice, Ministry of Agriculture, Wuhan University Wuhan, China ; The Yangzte River Valley Hybrid Rice Collaboration Innovation Center, Wuhan University Wuhan, China.

ABSTRACT
Exploitation of heterosis in crops has contributed greatly to improvement in global food and energy production. In spite of the pervasive importance of heterosis, a complete understanding of its mechanisms has remained elusive. In this study, a small test-crossed rice population was constructed to investigate the formation mechanism of heterosis for 13 traits. The results of the relative mid-parent heterosis and modes of inheritance of all investigated traits demonstrated that additive effects were the foundation of heterosis for complex traits in a hierarchical structure, and multiplicative interactions among the component traits were the framework of heterosis in complex traits. Furthermore, new balances between unit traits and related component traits provided hybrids with the opportunity to achieve an optimal degree of heterosis for complex traits. This study dissected heterosis of both reproductive and vegetative traits from the perspective of hierarchical structure for the first time. Additive multiplicative interactions of component traits were proven to be the origin of heterosis in complex traits. Meanwhile, more attention should be paid to component traits, rather than complex traits, in the process of revealing the mechanism of heterosis.

No MeSH data available.