Literature DB >> 15300383

Marker-evaluated selection in rice: shifts in allele frequency among bulks selected in contrasting agricultural environments identify genomic regions of importance to rice adaptation and breeding.

K A Steele1, G Edwards, J Zhu, J R Witcombe.   

Abstract

Conventional methods for quantitative trait locus (QTL) mapping require the selection of particular traits to be measured based on assumptions as to their importance. We have tested an alternative approach for the location of QTLs-marker-evaluated selection-that makes no prior assumptions as to which traits are important. The results of phenotype selection were evaluated in the products of modified bulk-population breeding that was replicated across a range of rice ecosystems. Selection was carried out in close collaboration with farmers in bulk populations that were all derived from a cross between an Indian upland variety (Kalinga III) and a high-yielding semi-dwarf variety (IR64).Twenty-seven diverse bulks were produced that were screened with molecular markers in order to determine whether shifts could be detected in marker allele frequency as a result of selection and if such changes varied by genomic region across ecosystems. Marker loci linked to important traits for adaptation to specific environments were identified without making any prior assumptions about which traits might be important. Genomic regions from Kalinga III were strongly selected in the upland environments and regions from IR64 in the lowland ones.However, exceptions occurred where the upland parent contributed positively to lowland adaptation and vice versa. The results can be used as a basis for the development of second-cycle varieties, using marker-assisted selection to produce genotypic ideotypes for specific target environments. The very strong selection for genomic regions from the adapted parents of the wide(upland x lowland) cross indicates that, in non-marker-assisted breeding, where genetically distant parents have been used, modified backcross breeding should be efficient. A single backcross to the adapted parent for aspecific ecosystem will result in a higher frequency of segregants with the desired high genetic contribution from the adapted parent.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15300383     DOI: 10.1007/s00122-004-1732-7

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  8 in total

1.  Towards rice genome scanning by map-based AFLP fingerprinting.

Authors:  J H Zhu; P Stephenson; D A Laurie; W Li; D Tang; M D Gale
Journal:  Mol Gen Genet       Date:  1999-02

Review 2.  Applications of single nucleotide polymorphisms in crop genetics.

Authors:  Antoni Rafalski
Journal:  Curr Opin Plant Biol       Date:  2002-04       Impact factor: 7.834

3.  Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations.

Authors:  R W Michelmore; I Paran; R V Kesseli
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-01       Impact factor: 11.205

4.  Trait-based analyses for the detection of linkage between marker loci and quantitative trait loci in crosses between inbred lines.

Authors:  R J Lebowitz; M Soller; J S Beckmann
Journal:  Theor Appl Genet       Date:  1987-02       Impact factor: 5.699

5.  AFLP: a new technique for DNA fingerprinting.

Authors:  P Vos; R Hogers; M Bleeker; M Reijans; T van de Lee; M Hornes; A Frijters; J Pot; J Peleman; M Kuiper
Journal:  Nucleic Acids Res       Date:  1995-11-11       Impact factor: 16.971

6.  Linkage analysis with multiplexed short tandem repeat polymorphisms using infrared fluorescence and M13 tailed primers.

Authors:  W S Oetting; H K Lee; D J Flanders; G L Wiesner; T A Sellers; R A King
Journal:  Genomics       Date:  1995-12-10       Impact factor: 5.736

7.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

8.  Allozyme Frequency Changes Associated with Selection for Increased Grain Yield in Maize (ZEA MAYS L.).

Authors:  C W Stuber; R H Moll; M M Goodman; H E Schaffer; B S Weir
Journal:  Genetics       Date:  1980-05       Impact factor: 4.562

  8 in total
  8 in total

1.  Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety.

Authors:  K A Steele; A H Price; H E Shashidhar; J R Witcombe
Journal:  Theor Appl Genet       Date:  2005-10-06       Impact factor: 5.699

Review 2.  Marker-assisted selection: an approach for precision plant breeding in the twenty-first century.

Authors:  Bertrand C Y Collard; David J Mackill
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-02-12       Impact factor: 6.237

3.  Fine mapping QTL for drought resistance traits in rice (Oryza sativa L.) using bulk segregant analysis.

Authors:  Arvindkumar Shivaji Salunkhe; R Poornima; K Silvas Jebakumar Prince; P Kanagaraj; J Annie Sheeba; K Amudha; K K Suji; A Senthil; R Chandra Babu
Journal:  Mol Biotechnol       Date:  2011-09       Impact factor: 2.695

Review 4.  Breeding for abiotic stresses for sustainable agriculture.

Authors:  J R Witcombe; P A Hollington; C J Howarth; S Reader; K A Steele
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-02-27       Impact factor: 6.237

5.  Population development by phenotypic selection with subsequent marker-assisted selection for line extraction in cucumber (Cucumis sativus L.).

Authors:  Zhicheng Fan; Matthew D Robbins; Jack E Staub
Journal:  Theor Appl Genet       Date:  2006-01-06       Impact factor: 5.574

6.  Genetic assessment of the effects of self-fertilization in a Lilium L. hybrids using molecular cytogenetic methods (FISH and ISSR).

Authors:  Fahad Ramzan; Hyoung Tae Kim; Adnan Younis; Yasir Ramzan; Ki-Byung Lim
Journal:  Saudi J Biol Sci       Date:  2020-12-17       Impact factor: 4.219

7.  Rice molecular breeding laboratories in the genomics era: Current status and future considerations.

Authors:  Bert C Y Collard; Casiana M Vera Cruz; Kenneth L McNally; Parminder S Virk; David J Mackill
Journal:  Int J Plant Genomics       Date:  2008

8.  Genetic differentiation revealed by selective loci of drought-responding EST-SSRs between upland and lowland rice in China.

Authors:  Hui Xia; Xiaoguo Zheng; Liang Chen; Huan Gao; Hua Yang; Ping Long; Jun Rong; Baorong Lu; Jiajia Li; Lijun Luo
Journal:  PLoS One       Date:  2014-10-06       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.