Literature DB >> 16217600

Genome-wide introgression lines and their use in genetic and molecular dissection of complex phenotypes in rice (Oryza sativa L.).

Zhi-Kang Li1, Bin-Ying Fu, Yong-Ming Gao, Jian-Long Xu, J Ali, H R Lafitte, Yun-Zhu Jiang, J Domingo Rey, C H M Vijayakumar, R Maghirang, Tian-Qing Zheng, Ling-Hua Zhu.   

Abstract

Tremendous efforts have been taken worldwide to develop genome-wide genetic stocks for rice functional genomic (FG) research since the rice genome was completely sequenced. To facilitate FG research of complex polygenic phenotypes in rice, we report the development of over 20,000 introgression lines (ILs) in three elite rice genetic backgrounds for a wide range of complex traits, including resistances/tolerances to many biotic and abiotic stresses, morpho-agronomic traits, physiological traits, etc., by selective introgression. ILs within each genetic background are phenotypically similar to their recurrent parent but each carries one or a few traits introgressed from a known donor. Together, these ILs contain a significant portion of loci affecting the selected complex phenotypes at which allelic diversity exists in the primary gene pool of rice. A forward genetics strategy was proposed and demonstrated with examples on how to use these ILs for large-scale FG research. Complementary to the genome-wide insertional mutants, these ILs opens a new way for highly efficient discovery, candidate gene identification and cloning of important QTLs for specific phenotypes based on convergent evidence from QTL position, expression profiling, functional and molecular diversity analyses of candidate genes, highlights the importance of genetic networks underlying complex phenotypes in rice that may ultimately lead to more complete understanding of the genetic and molecular bases of quantitative trait variation in rice.

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Year:  2005        PMID: 16217600     DOI: 10.1007/s11103-005-8519-3

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


  37 in total

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2.  QTL x environment interactions in rice. I. heading date and plant height.

Authors:  Z K Li; S B Yu; H R Lafitte; N Huang; B Courtois; S Hittalmani; C H M Vijayakumar; G F Liu; G C Wang; H E Shashidhar; J Y Zhuang; K L Zheng; V P Singh; J S Sidhu; S Srivantaneeyakul; G S Khush
Journal:  Theor Appl Genet       Date:  2003-09-05       Impact factor: 5.699

3.  Evaluation of light regulatory potential of Calvin cycle steps based on large-scale gene expression profiling data.

Authors:  Ning Sun; Ligeng Ma; Deyun Pan; Hongyu Zhao; Xing Wang Deng
Journal:  Plant Mol Biol       Date:  2003-11       Impact factor: 4.076

4.  Lycopersicon esculentum lines containing small overlapping introgressions from L. pennellii.

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Journal:  Theor Appl Genet       Date:  1992-05       Impact factor: 5.699

Review 5.  Seed banks and molecular maps: unlocking genetic potential from the wild.

Authors:  S D Tanksley; S R McCouch
Journal:  Science       Date:  1997-08-22       Impact factor: 47.728

6.  Epistasis for three grain yield components in rice (Oryza sativa L.).

Authors:  Z Li; S R Pinson; W D Park; A H Paterson; J W Stansel
Journal:  Genetics       Date:  1997-02       Impact factor: 4.562

7.  The Rice PIPELINE: a unification tool for plant functional genomics.

Authors:  Junshi Yazaki; Keiichi Kojima; Kouji Suzuki; Naoki Kishimoto; Shoshi Kikuchi
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

8.  Genome-wide insertional mutagenesis of Arabidopsis thaliana.

Authors:  José M Alonso; Anna N Stepanova; Thomas J Leisse; Christopher J Kim; Huaming Chen; Paul Shinn; Denise K Stevenson; Justin Zimmerman; Pascual Barajas; Rosa Cheuk; Carmelita Gadrinab; Collen Heller; Albert Jeske; Eric Koesema; Cristina C Meyers; Holly Parker; Lance Prednis; Yasser Ansari; Nathan Choy; Hashim Deen; Michael Geralt; Nisha Hazari; Emily Hom; Meagan Karnes; Celene Mulholland; Ral Ndubaku; Ian Schmidt; Plinio Guzman; Laura Aguilar-Henonin; Markus Schmid; Detlef Weigel; David E Carter; Trudy Marchand; Eddy Risseeuw; Debra Brogden; Albana Zeko; William L Crosby; Charles C Berry; Joseph R Ecker
Journal:  Science       Date:  2003-08-01       Impact factor: 47.728

9.  Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross.

Authors:  J Xiao; J Li; L Yuan; S D Tanksley
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

10.  The wheat VRN2 gene is a flowering repressor down-regulated by vernalization.

Authors:  Liuling Yan; Artem Loukoianov; Ann Blechl; Gabriela Tranquilli; Wusirika Ramakrishna; Phillip SanMiguel; Jeffrey L Bennetzen; Viviana Echenique; Jorge Dubcovsky
Journal:  Science       Date:  2004-03-12       Impact factor: 47.728

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  35 in total

1.  Selection mapping of loci for quantitative disease resistance in a diverse maize population.

Authors:  Randall J Wisser; Seth C Murray; Judith M Kolkman; Hernán Ceballos; Rebecca J Nelson
Journal:  Genetics       Date:  2008-08-24       Impact factor: 4.562

2.  Highly efficient genotyping of rice biparental populations by GoldenGate assays based on parental resequencing.

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Journal:  Theor Appl Genet       Date:  2013-11-05       Impact factor: 5.699

3.  Dissection of genetic overlap of drought and low-temperature tolerance QTLs at the germination stage using backcross introgression lines in soybean.

Authors:  Wen Bo Zhang; Peng Cheng Qiu; Hong Wei Jiang; Chun Yan Liu; Da Wei Xin; Can Dong Li; Guo Hua Hu; Qing Shan Chen
Journal:  Mol Biol Rep       Date:  2011-12-30       Impact factor: 2.316

4.  Genetic dissection of chromosome substitution lines of cotton to discover novel Gossypium barbadense L. alleles for improvement of agronomic traits.

Authors:  Sukumar Saha; Jixiang Wu; Johnie N Jenkins; Jack C McCarty; Russell Hayes; David M Stelly
Journal:  Theor Appl Genet       Date:  2010-01-23       Impact factor: 5.699

5.  Mapping quantitative trait loci in selected breeding populations: A segregation distortion approach.

Authors:  Y Cui; F Zhang; J Xu; Z Li; S Xu
Journal:  Heredity (Edinb)       Date:  2015-07-01       Impact factor: 3.821

Review 6.  Quantitative trait loci from identification to exploitation for crop improvement.

Authors:  Jitendra Kumar; Debjyoti Sen Gupta; Sunanda Gupta; Sonali Dubey; Priyanka Gupta; Shiv Kumar
Journal:  Plant Cell Rep       Date:  2017-03-28       Impact factor: 4.570

7.  Selecting a set of wild barley introgression lines and verification of QTL effects for resistance to powdery mildew and leaf rust.

Authors:  Inga Schmalenbach; Niklas Körber; Klaus Pillen
Journal:  Theor Appl Genet       Date:  2008-07-29       Impact factor: 5.699

8.  *omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants.

Authors:  Diego H Milone; Georgina S Stegmayer; Laura Kamenetzky; Mariana López; Je Min Lee; James J Giovannoni; Fernando Carrari
Journal:  BMC Bioinformatics       Date:  2010-08-26       Impact factor: 3.169

9.  Expression profiling of rice cultivars differing in their tolerance to long-term drought stress.

Authors:  Thomas Degenkolbe; Phuc Thi Do; Ellen Zuther; Dirk Repsilber; Dirk Walther; Dirk K Hincha; Karin I Köhl
Journal:  Plant Mol Biol       Date:  2008-10-19       Impact factor: 4.076

10.  Identification of a Rice stripe necrosis virus resistance locus and yield component QTLs using Oryza sativa x O. glaberrima introgression lines.

Authors:  Andrés Gonzalo Gutiérrez; Silvio James Carabalí; Olga Ximena Giraldo; César Pompilio Martínez; Fernando Correa; Gustavo Prado; Joe Tohme; Mathias Lorieux
Journal:  BMC Plant Biol       Date:  2010-01-08       Impact factor: 4.215

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