Literature DB >> 16217609

Microarray analysis reveals similarities and variations in genetic programs controlling pollination/fertilization and stress responses in rice (Oryza sativa L.).

Lefu Lan1, Meina Li, Ying Lai, Wenying Xu, Zhaosheng Kong, Kai Ying, Bin Han, Yongbiao Xue.   

Abstract

Previously, we identified 253 cDNAs that are regulated by pollination/fertilization in rice by using a 10K cDNA microarray. In addition, many of them also appeared to be involved in drought and wounding responses. To investigate this relationship, we obtained their expression profiles after dehydration and wounding treatments in this study. Venn diagram analysis indicated that 53.8% (136/253) and 21% (57/253) of the pollination/fertilization-related genes are indeed regulated by dehydration and wounding, respectively, and nearly half of the genes expressed preferentially in unpollinated pistils (UP) are responsive to dehydration. These results indicated that an extensive gene set is shared among these responses, suggesting that the genetic programs regulating them are likely related. Among them, the genetic network of water stress control may be a key player in pollination and fertilization. Additionally, 39.5% (100/253) cDNAs that are related to pollination/fertilization appear not to be regulated by the stress treatments (dehydration and wounding), suggesting that the existence of additional genetic networks are involved in pollination/fertilization. Furthermore, comparative analysis of the expression profiles of the 253 cDNAs under 18 different conditions (various tissues, treatments and developmental status) revealed that the genetic networks regulating photosynthesis, starch metabolisms, GA- and defense-responses are involved in pollination and fertilization. Taken together, these results provided some clues to elucidate the molecular mechanisms of pollination and fertilization in rice.

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Year:  2005        PMID: 16217609     DOI: 10.1007/s11103-005-3958-4

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


  33 in total

1.  Signaling and the modulation of pollen tube growth

Authors: 
Journal:  Plant Cell       Date:  1999-04       Impact factor: 11.277

2.  Pollen tube attraction by the synergid cell.

Authors:  T Higashiyama; S Yabe; N Sasaki; Y Nishimura; H Kuroiwa; T Kuroiwa
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Authors:  Davinder P Singh; Angelica M Jermakow; Stephen M Swain
Journal:  Plant Cell       Date:  2002-12       Impact factor: 11.277

Review 4.  Experimental analysis of the fertilization process.

Authors:  Koen Weterings; Scott D Russell
Journal:  Plant Cell       Date:  2004-03-09       Impact factor: 11.277

5.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
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6.  A pollen tube growth stimulatory glycoprotein is deglycosylated by pollen tubes and displays a glycosylation gradient in the flower.

Authors:  H M Wu; H Wang; A Y Cheung
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7.  Hexose transport in growing petunia pollen tubes and characterization of a pollen-specific, putative monosaccharide transporter.

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8.  Pollination- or Wound-Induced Kaempferol Accumulation in Petunia Stigmas Enhances Seed Production.

Authors:  T. Vogt; P. Pollak; N. Tarlyn; L. P. Taylor
Journal:  Plant Cell       Date:  1994-01       Impact factor: 11.277

9.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

10.  Proteomic analysis of differentially expressed proteins induced by rice blast fungus and elicitor in suspension-cultured rice cells.

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Journal:  Proteomics       Date:  2003-12       Impact factor: 3.984

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  33 in total

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4.  Expression of TERF1 in rice regulates expression of stress-responsive genes and enhances tolerance to drought and high-salinity.

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Journal:  Plant Cell Rep       Date:  2008-09-06       Impact factor: 4.570

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6.  Characterization of the 'Xiangshui' lemon transcriptome by de novo assembly to discover genes associated with self-incompatibility.

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7.  ABI-like transcription factor gene TaABL1 from wheat improves multiple abiotic stress tolerances in transgenic plants.

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Journal:  Funct Integr Genomics       Date:  2014-10-25       Impact factor: 3.410

8.  Expressional analysis and role of calcium regulated kinases in abiotic stress signaling.

Authors:  Ritika Das; Girdhar K Pandey
Journal:  Curr Genomics       Date:  2010-03       Impact factor: 2.236

9.  Constitutive expression of a meiotic recombination protein gene homolog, OsTOP6A1, from rice confers abiotic stress tolerance in transgenic Arabidopsis plants.

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Journal:  Plant Cell Rep       Date:  2007-12-11       Impact factor: 4.570

10.  Transcriptional profiling in response to terminal drought stress reveals differential responses along the wheat genome.

Authors:  Alessio Aprile; Anna M Mastrangelo; Anna M De Leonardis; Gabor Galiba; Enrica Roncaglia; Francesco Ferrari; Luigi De Bellis; Luana Turchi; Giovanni Giuliano; Luigi Cattivelli
Journal:  BMC Genomics       Date:  2009-06-24       Impact factor: 3.969

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