Literature DB >> 16941221

Heterosis and polymorphisms of gene expression in an elite rice hybrid as revealed by a microarray analysis of 9198 unique ESTs.

Yi Huang1, Lida Zhang, Jianwei Zhang, Dejun Yuan, Caiguo Xu, Xianghua Li, Daoxiu Zhou, Shiping Wang, Qifa Zhang.   

Abstract

Despite the significant contributions of utilizing heterosis to crop productivity worldwide, the biological mechanisms of heterosis remained largely uncharacterized. In this study, we analyzed gene expression profiles of an elite rice hybrid and the parents at three stages of young panicle development, using a cDNA microarray consisting of 9198 expressed sequence tags (ESTs), with the objective to reveal patterns of gene expression that may be associated with heterosis in yield. A total of 8422 sequences showed hybridization signals in all three genotypes in at least one stage and 5771 sequences produced detectable signals in all slides. Significant differences in expression level were detected for 438 sequences among the three genotypes in at least one of the three stages, as determined by ANOVA validated with 100 permutations at P < 0.05. Significant mid-parent heterosis was detected for 141 sequences, which demonstrated the following features: a much larger number of sequences showed negative heterosis than ones showing positive heterosis; genes functioning in DNA replication and repair tended to show positive heterosis; genes functioning in carbohydrate metabolism, lipid metabolism, energy metabolism, translation, protein degradation, and cellular information processing showed negative heterosis; both positive and negative heterosis were observed for genes in amino acid metabolism, transcription, signal transduction, plant defense and transportation. The results are indicative of the biochemical and physiological activities taking place in the hybrid relative to the parents. Identification of genes showing expression polymorphisms among different genotypes and heterotic expression in the hybrid may provide new avenues for exploring the biological mechanisms underlying heterosis.

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Year:  2006        PMID: 16941221     DOI: 10.1007/s11103-006-9040-z

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  58 in total

1.  Orchestrated transcription of key pathways in Arabidopsis by the circadian clock.

Authors:  S L Harmer; J B Hogenesch; M Straume; H S Chang; B Han; T Zhu; X Wang; J A Kreps; S A Kay
Journal:  Science       Date:  2000-12-15       Impact factor: 47.728

2.  Single-locus heterotic effects and dominance by dominance interactions can adequately explain the genetic basis of heterosis in an elite rice hybrid.

Authors:  Jinping Hua; Yongzhong Xing; Weiren Wu; Caiguo Xu; Xinli Sun; Sibin Yu; Qifa Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-25       Impact factor: 11.205

3.  Detection of regulatory variation in mouse genes.

Authors:  Christopher R Cowles; Joel N Hirschhorn; David Altshuler; Eric S Lander
Journal:  Nat Genet       Date:  2002-10-15       Impact factor: 38.330

4.  Microarray analysis of the nitrate response in Arabidopsis roots and shoots reveals over 1,000 rapidly responding genes and new linkages to glucose, trehalose-6-phosphate, iron, and sulfate metabolism.

Authors:  Rongchen Wang; Mamoru Okamoto; Xiujuan Xing; Nigel M Crawford
Journal:  Plant Physiol       Date:  2003-06       Impact factor: 8.340

5.  Transcriptional profiling by cDNA-AFLP and microarray analysis reveals novel insights into the early response to ethylene in Arabidopsis.

Authors:  Annelies De Paepe; Marnik Vuylsteke; Paul Van Hummelen; Marc Zabeau; Dominique Van Der Straeten
Journal:  Plant J       Date:  2004-08       Impact factor: 6.417

6.  Identification of expression profiles of sorghum genes in response to greenbug phloem-feeding using cDNA subtraction and microarray analysis.

Authors:  Sung-Jin Park; Yinghua Huang; Patricia Ayoubi
Journal:  Planta       Date:  2005-11-15       Impact factor: 4.116

7.  Microarray analysis of developing Arabidopsis seeds.

Authors:  T Girke; J Todd; S Ruuska; J White; C Benning; J Ohlrogge
Journal:  Plant Physiol       Date:  2000-12       Impact factor: 8.340

8.  Gene expression profiles during the initial phase of salt stress in rice.

Authors:  S Kawasaki; C Borchert; M Deyholos; H Wang; S Brazille; K Kawai; D Galbraith; H J Bohnert
Journal:  Plant Cell       Date:  2001-04       Impact factor: 11.277

9.  Molecular interactions between the specialist herbivore Manduca sexta (lepidoptera, sphingidae) and its natural host Nicotiana attenuata. VI. Microarray analysis reveals that most herbivore-specific transcriptional changes are mediated by fatty acid-amino acid conjugates.

Authors:  Rayko Halitschke; Klaus Gase; Dequan Hui; Dominik D Schmidt; Ian T Baldwin
Journal:  Plant Physiol       Date:  2003-04       Impact factor: 8.340

10.  Profiling ethylene-regulated gene expression in Arabidopsis thaliana by microarray analysis.

Authors:  Guang Yan Zhong; Guang Van Zhong; Jacqueline K Burns
Journal:  Plant Mol Biol       Date:  2003-09       Impact factor: 4.076

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  45 in total

1.  Transcriptomic changes following synthesis of a Populus full-sib diploid and allotriploid population with different heterozygosities driven by three types of 2n female gamete.

Authors:  Shiping Cheng; Jun Yang; Ting Liao; Xiaohu Zhu; Yujing Suo; Pingdong Zhang; Jun Wang; Xiangyang Kang
Journal:  Plant Mol Biol       Date:  2015-09-29       Impact factor: 4.076

2.  Genome-wide allele-specific expression analysis using Massively Parallel Signature Sequencing (MPSS) reveals cis- and trans-effects on gene expression in maize hybrid meristem tissue.

Authors:  Mei Guo; Sean Yang; Mary Rupe; Bin Hu; David R Bickel; Lane Arthur; Oscar Smith
Journal:  Plant Mol Biol       Date:  2008-01-26       Impact factor: 4.076

3.  Single feature polymorphisms between two rice cultivars detected using a median polish method.

Authors:  Weibo Xie; Ying Chen; Gang Zhou; Lei Wang; Chengjun Zhang; Jianwei Zhang; Jinghua Xiao; Tong Zhu; Qifa Zhang
Journal:  Theor Appl Genet       Date:  2009-04-16       Impact factor: 5.699

4.  A transcriptomic analysis of superhybrid rice LYP9 and its parents.

Authors:  Gang Wei; Yong Tao; Guozhen Liu; Chen Chen; Renyuan Luo; Hongai Xia; Qiang Gan; Haipan Zeng; Zhike Lu; Yuning Han; Xiaobing Li; Guisheng Song; Hongli Zhai; Yonggang Peng; Dayong Li; Honglin Xu; Xiaoli Wei; Mengliang Cao; Huafeng Deng; Yeyun Xin; Xiqin Fu; Longping Yuan; Jun Yu; Zhen Zhu; Lihuang Zhu
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-16       Impact factor: 11.205

5.  HRGD: a database for mining potential heterosis-related genes in plants.

Authors:  Shuhui Song; Yuefeng Huang; Xuan Wang; Gang Wei; Hongzhu Qu; Weiwei Wang; Xiaomeng Ge; Songnian Hu; Guozhen Liu; Yanchun Liang; Jun Yu
Journal:  Plant Mol Biol       Date:  2008-11-15       Impact factor: 4.076

6.  Genetic composition of yield heterosis in an elite rice hybrid.

Authors:  Gang Zhou; Ying Chen; Wen Yao; Chengjun Zhang; Weibo Xie; Jinping Hua; Yongzhong Xing; Jinghua Xiao; Qifa Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-10       Impact factor: 11.205

7.  Gene expression analysis at the intersection of ploidy and hybridity in maize.

Authors:  Nicole C Riddle; Hongmei Jiang; Lingling An; R W Doerge; James A Birchler
Journal:  Theor Appl Genet       Date:  2010-01       Impact factor: 5.699

8.  Heterosis in early seed development: a comparative study of F1 embryo and endosperm tissues 6 days after fertilization.

Authors:  Stephanie Jahnke; Barbara Sarholz; Alexander Thiemann; Vera Kühr; José F Gutiérrez-Marcos; Hartwig H Geiger; Hans-Peter Piepho; Stefan Scholten
Journal:  Theor Appl Genet       Date:  2009-11-11       Impact factor: 5.699

9.  Gene expression profiles of two intraspecific Larix lines and their reciprocal hybrids.

Authors:  Ai Li; Meng-Die Fang; Wen-Qin Song; Cheng-Bin Chen; Li-Wang Qi; Chun-Guo Wang
Journal:  Mol Biol Rep       Date:  2011-07-13       Impact factor: 2.316

10.  Comparison of maize (Zea mays L.) F1-hybrid and parental inbred line primary root transcriptomes suggests organ-specific patterns of nonadditive gene expression and conserved expression trends.

Authors:  Nadine Hoecker; Barbara Keller; Nils Muthreich; Didier Chollet; Patrick Descombes; Hans-Peter Piepho; Frank Hochholdinger
Journal:  Genetics       Date:  2008-06-18       Impact factor: 4.562

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