Literature DB >> 21693671

Heterosis in rice seedlings: its relationship to gibberellin content and expression of gibberellin metabolism and signaling genes.

Qian Ma1, Peter Hedden, Qifa Zhang.   

Abstract

Despite the accumulation of data on the genetic and molecular understanding of heterosis, there is little information on the regulation of heterosis at the physiological level. In this study, we performed a quantitative analysis of endogenous gibberellin (GA) content and expression profiling of the GA metabolism and signaling genes to investigate the possible relationship between GA signaling and heterosis for seedling development in rice (Oryza sativa). The materials used were an incomplete diallele set of 3 × 3 crosses and the six parents. In the growing shoots of the seedlings at 20 d after sowing, significant positive correlations between the contents of some GA species and performance and heterosis based on shoot dry mass were detected. Expression analyses of GA-related genes by real-time reverse transcription-polymerase chain reaction revealed that 13 out of the 16 GA-related genes examined exhibited significant differential expression among the F1 hybrid and its parents, acting predominantly in the modes of overdominance and positive dominance. Expression levels of nine genes in the hybrids displayed significant positive correlations with the heterosis of shoot dry mass. These results imply that GAs play a positive role in the regulation of heterosis for rice seedling development. In shoots plus root axes of 4-d-old germinating seeds that had undergone the deetiolation, mimicking normal germination in soil, the axis dry mass was positively correlated with the content of GA₂₉ but negatively correlated with that of GA₁₉. Our findings provide supporting evidence for GAs playing an important regulatory role in heterosis for rice seedling development.

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Year:  2011        PMID: 21693671      PMCID: PMC3149939          DOI: 10.1104/pp.111.178046

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  52 in total

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3.  Rice dwarf mutant d1, which is defective in the alpha subunit of the heterotrimeric G protein, affects gibberellin signal transduction.

Authors:  M Ueguchi-Tanaka; Y Fujisawa; M Kobayashi; M Ashikari; Y Iwasaki; H Kitano; M Matsuoka
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-10       Impact factor: 11.205

4.  Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance.

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Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-25       Impact factor: 11.205

7.  Genome-wide transcript analysis of maize hybrids: allelic additive gene expression and yield heterosis.

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  20 in total

Review 1.  Genomic and epigenetic insights into the molecular bases of heterosis.

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Journal:  Nat Rev Genet       Date:  2013-06-11       Impact factor: 53.242

2.  An RNA-seq transcriptome analysis of floral buds of an interspecific Brassica hybrid between B. carinata and B. napus.

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3.  Spatial and temporal expression modes of MicroRNAs in an elite rice hybrid and its parental lines.

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4.  Heterotic patterns of primary and secondary metabolites in the oilseed crop Brassica juncea.

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5.  OsHXK3 encodes a hexokinase-like protein that positively regulates grain size in rice.

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6.  Homoeolog gene expression analysis reveals novel expression biases in upland hybrid cotton under intraspecific hybridization.

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7.  Three genetic systems controlling growth, development and productivity of rice (Oryza sativa L.): a reevaluation of the 'Green Revolution'.

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8.  Gibberellin inhibition of taproot formation by modulation of DELLA-NAC complex activity in turnip (Brassica rapa var. rapa).

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9.  Global RNA sequencing reveals that genotype-dependent allele-specific expression contributes to differential expression in rice F1 hybrids.

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Journal:  BMC Plant Biol       Date:  2013-12-21       Impact factor: 4.215

10.  The phenotypic predisposition of the parent in F1 hybrid is correlated with transcriptome preference of the positive general combining ability parent.

Authors:  Gaoyuan Song; Zhibin Guo; Zhenwei Liu; Xuefeng Qu; Daiming Jiang; Wei Wang; Yingguo Zhu; Daichang Yang
Journal:  BMC Genomics       Date:  2014-04-22       Impact factor: 3.969

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