Literature DB >> 19502383

Phenome analysis in plant species using loss-of-function and gain-of-function mutants.

Takashi Kuromori1, Shinya Takahashi, Youichi Kondou, Kazuo Shinozaki, Minami Matsui.   

Abstract

Analysis of genetic mutations is one of the most effective ways to investigate gene function. We now have methods that allow for mass production of mutant lines and cells in a variety of model species. Recently, large numbers of mutant lines have been generated by both 'loss-of-function' and 'gain-of-function' techniques. In parallel, phenotypic information covering various mutant resources has been acquired and released in web-based databases. As a result, significant progress in comprehensive phenotype analysis is being made through the use of these tools. Arabidopsis and rice are two major model plant species in which genome sequencing projects have been completed. Arabidopsis is the most widely used experimental plant, with a large number of mutant resources and several examples of systematic phenotype analysis. Rice is a major crop species and is used as a model plant, with an increasing number of mutant resources. Other plant species are also being employed in functional genetics research. In this review, the present status of mutant resources for large-scale studies of gene function in plant research and the current perspective on using loss-of-function and gain-of-function mutants in phenome research will be discussed.

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Year:  2009        PMID: 19502383      PMCID: PMC2709550          DOI: 10.1093/pcp/pcp078

Source DB:  PubMed          Journal:  Plant Cell Physiol        ISSN: 0032-0781            Impact factor:   4.927


  108 in total

Review 1.  Arabidopsis gene knockout: phenotypes wanted.

Authors:  N Bouché; D Bouchez
Journal:  Curr Opin Plant Biol       Date:  2001-04       Impact factor: 7.834

2.  Growth stage-based phenotypic analysis of Arabidopsis: a model for high throughput functional genomics in plants.

Authors:  D C Boyes; A M Zayed; R Ascenzi; A J McCaskill; N E Hoffman; K R Davis; J Görlach
Journal:  Plant Cell       Date:  2001-07       Impact factor: 11.277

3.  A mutational analysis of leaf morphogenesis in Arabidopsis thaliana.

Authors:  G Berná; P Robles; J L Micol
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

4.  FLAGdb++: a database for the functional analysis of the Arabidopsis genome.

Authors:  Franck Samson; Véronique Brunaud; Sylvain Duchêne; Yannick De Oliveira; Michel Caboche; Alain Lecharny; Sébastien Aubourg
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  Chemical- and irradiation-induced mutants of indica rice IR64 for forward and reverse genetics.

Authors:  Jian-Li Wu; Chanjian Wu; Cailin Lei; Marietta Baraoidan; Alicia Bordeos; Ma Reina Suzette Madamba; Marilou Ramos-Pamplona; Ramil Mauleon; Arlett Portugal; Victor Jun Ulat; Richard Bruskiewich; Guoliang Wang; Jan Leach; Gurdev Khush; Hei Leung
Journal:  Plant Mol Biol       Date:  2005-09       Impact factor: 4.076

6.  A trial of phenome analysis using 4000 Ds-insertional mutants in gene-coding regions of Arabidopsis.

Authors:  Takashi Kuromori; Takuji Wada; Asako Kamiya; Masahiro Yuguchi; Takuro Yokouchi; Yuko Imura; Hiroko Takabe; Tetsuya Sakurai; Kenji Akiyama; Takashi Hirayama; Kiyotaka Okada; Kazuo Shinozaki
Journal:  Plant J       Date:  2006-06-30       Impact factor: 6.417

7.  Large-scale histological analysis of leaf mutants using two simple leaf observation methods: identification of novel genetic pathways governing the size and shape of leaves.

Authors:  Gorou Horiguchi; Ushio Fujikura; Ali Ferjani; Naoko Ishikawa; Hirokazu Tsukaya
Journal:  Plant J       Date:  2006-11       Impact factor: 6.417

8.  A community-based annotation framework for linking solanaceae genomes with phenomes.

Authors:  Naama Menda; Robert M Buels; Isaak Tecle; Lukas A Mueller
Journal:  Plant Physiol       Date:  2008-06-06       Impact factor: 8.340

Review 9.  Functional genomics in Arabidopsis: large-scale insertional mutagenesis complements the genome sequencing project.

Authors:  S Parinov; V Sundaresan
Journal:  Curr Opin Biotechnol       Date:  2000-04       Impact factor: 9.740

10.  An inducible targeted tagging system for localized saturation mutagenesis in Arabidopsis.

Authors:  Bindu Nishal; Titima Tantikanjana; Venkatesan Sundaresan
Journal:  Plant Physiol       Date:  2005-01       Impact factor: 8.340

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  30 in total

1.  Omics and bioinformatics: an essential toolbox for systems analyses of plant functions beyond 2010.

Authors:  Kazuo Shinozaki; Hitoshi Sakakibara
Journal:  Plant Cell Physiol       Date:  2009-07       Impact factor: 4.927

Review 2.  Genomics and bioinformatics resources for crop improvement.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-03-05       Impact factor: 4.927

3.  Phenotypic and genomic analyses of a fast neutron mutant population resource in soybean.

Authors:  Yung-Tsi Bolon; William J Haun; Wayne W Xu; David Grant; Minviluz G Stacey; Rex T Nelson; Daniel J Gerhardt; Jeffrey A Jeddeloh; Gary Stacey; Gary J Muehlbauer; James H Orf; Seth L Naeve; Robert M Stupar; Carroll P Vance
Journal:  Plant Physiol       Date:  2011-02-14       Impact factor: 8.340

4.  Characteristics of Plant Essential Genes Allow for within- and between-Species Prediction of Lethal Mutant Phenotypes.

Authors:  John P Lloyd; Alexander E Seddon; Gaurav D Moghe; Matthew C Simenc; Shin-Han Shiu
Journal:  Plant Cell       Date:  2015-08-18       Impact factor: 11.277

Review 5.  Natural and artificial mutants as valuable resources for functional genomics and molecular breeding.

Authors:  Shu-Ye Jiang; Srinivasan Ramachandran
Journal:  Int J Biol Sci       Date:  2010-04-28       Impact factor: 6.580

6.  Growth platform-dependent and -independent phenotypic and metabolic responses of Arabidopsis and its halophytic relative, Eutrema salsugineum, to salt stress.

Authors:  Yana Kazachkova; Albert Batushansky; Aroldo Cisneros; Noemi Tel-Zur; Aaron Fait; Simon Barak
Journal:  Plant Physiol       Date:  2013-06-04       Impact factor: 8.340

7.  Morphological phenotyping and genetic analyses of a new chemical-mutagenized population of tobacco (Nicotiana tabacum L.).

Authors:  Dawei Wang; Shaomei Wang; Jiangtao Chao; Xinru Wu; Yuhe Sun; Fengxia Li; Jing Lv; Xiaoming Gao; Guanshan Liu; Yuanying Wang
Journal:  Planta       Date:  2017-04-11       Impact factor: 4.116

8.  Molecular screening tools to study Arabidopsis transcription factors.

Authors:  Nora Wehner; Christoph Weiste; Wolfgang Dröge-Laser
Journal:  Front Plant Sci       Date:  2011-11-04       Impact factor: 5.753

9.  ARTADE2DB: improved statistical inferences for Arabidopsis gene functions and structure predictions by dynamic structure-based dynamic expression (DSDE) analyses.

Authors:  Kei Iida; Shuji Kawaguchi; Norio Kobayashi; Yuko Yoshida; Manabu Ishii; Erimi Harada; Kousuke Hanada; Akihiro Matsui; Masanori Okamoto; Junko Ishida; Maho Tanaka; Taeko Morosawa; Motoaki Seki; Tetsuro Toyoda
Journal:  Plant Cell Physiol       Date:  2011-01-12       Impact factor: 4.927

Review 10.  Genetic control of flowering time in rice: integration of Mendelian genetics and genomics.

Authors:  Kiyosumi Hori; Kazuki Matsubara; Masahiro Yano
Journal:  Theor Appl Genet       Date:  2016-09-30       Impact factor: 5.699

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