Literature DB >> 24186019

Assessment of DNA pooling strategies for mapping of QTLs.

G L Wang1, A H Paterson.   

Abstract

The synthesis of "DNA pools" from segregating populations is an efficient strategy for identifying DNA markers closely linked to genes or genomic regions of interest. To-date, DNA pooling based solely upon phenotypic information, or "bulked segregant analysis", has been employed only in the analysis of simply-inherited traits. We have assessed the utility of phenotype-based DNA pools for "tagging" (e.g., identifying DNA markers closely-linked to) quantitative trait loci (QTLs), segregating in the presence of other such loci, and expressing phenotypes which are influenced by the environment. Theoretical estimates suggest that QTL alleles with phenotypic effects of 0.75-1.0 standard deviations (SD), or larger, should be detectable in back-cross (BC), F2 and recombinant inbred (RI) or doubled haploid (DH) populations of manageable size (100-200 plants/lines). However, post hoc analysis of three data sets, used in QTL mapping of tomato and rice, indicate that the majority of QTLs identified had allele effects of less than 0.75 SD, and thus could not be easily tagged in DNA pools. Segregation distortion can have a large effect on the allelic composition of DNA pools, necessitating the use of more individuals in the pools to minimize false positive and false negative results. In general, we suggest that use of phenotype-based DNA pools might be successful in tagging QTLs of very large effect, but is unlikely to permit comprehensive identification of the majority of QTLs affecting a complex trait. DNA pools constructed from a priori information should, however, be useful in identifying new DNA markers for regions of the genome known to contain QTLs.

Entities:  

Year:  1994        PMID: 24186019     DOI: 10.1007/BF00223645

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


  13 in total

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2.  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.

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Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-01       Impact factor: 11.205

3.  The likelihood ratio test for the two-component normal mixture problem: power and sample size analysis.

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Journal:  Biometrics       Date:  1991-09       Impact factor: 2.571

4.  Selective genotyping for determination of linkage between a marker locus and a quantitative trait locus.

Authors:  A Darvasi; M Soller
Journal:  Theor Appl Genet       Date:  1992-11       Impact factor: 5.699

5.  DNA polymorphisms amplified by arbitrary primers are useful as genetic markers.

Authors:  J G Williams; A R Kubelik; K J Livak; J A Rafalski; S V Tingey
Journal:  Nucleic Acids Res       Date:  1990-11-25       Impact factor: 16.971

6.  RFLP mapping in soybean: association between marker loci and variation in quantitative traits.

Authors:  P Keim; B W Diers; T C Olson; R C Shoemaker
Journal:  Genetics       Date:  1990-11       Impact factor: 4.562

7.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
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8.  Linkage analysis of quantitative traits in an interspecific cross of tomato (lycopersicon esculentum x lycopersicon pimpinellifolium) by means of genetic markers.

Authors:  J I Weller; M Soller; T Brody
Journal:  Genetics       Date:  1988-02       Impact factor: 4.562

9.  Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments.

Authors:  A H Paterson; S Damon; J D Hewitt; D Zamir; H D Rabinowitch; S E Lincoln; E S Lander; S D Tanksley
Journal:  Genetics       Date:  1991-01       Impact factor: 4.562

10.  RFLP mapping of genes conferring complete and partial resistance to blast in a durably resistant rice cultivar.

Authors:  G L Wang; D J Mackill; J M Bonman; S R McCouch; M C Champoux; R J Nelson
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

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  6 in total

1.  A genome scan for quantitative trait loci associated with Vibrio anguillarum infection resistance in Japanese flounder (Paralichthys olivaceus) by bulked segregant analysis.

Authors:  Lei Wang; Caixia Fan; Yang Liu; Yingping Zhang; Shoutang Liu; Deqiang Sun; Han Deng; Ying Xu; Yongsheng Tian; Xiaolin Liao; Mingshu Xie; Wenlong Li; Songlin Chen
Journal:  Mar Biotechnol (NY)       Date:  2014-02-23       Impact factor: 3.619

2.  A novel allele of monoecious (m) locus is responsible for elongated fruit shape and perfect flowers in cucumber (Cucumis sativus L.).

Authors:  Junyi Tan; Qianyi Tao; Huanhuan Niu; Zhen Zhang; Dandan Li; Zhenhui Gong; Yiqun Weng; Zheng Li
Journal:  Theor Appl Genet       Date:  2015-09-08       Impact factor: 5.699

3.  QTL analysis for capsaicinoid content in Capsicum.

Authors:  Arnon Ben-Chaim; Yelena Borovsky; Matthew Falise; Michael Mazourek; Byoung-Cheorl Kang; Ilan Paran; Molly Jahn
Journal:  Theor Appl Genet       Date:  2006-09-08       Impact factor: 5.699

4.  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 5.  Mapping QTLs regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize.

Authors:  Roberto Tuberosa; Silvio Salvi; Maria Corinna Sanguineti; Pierangelo Landi; Marco Maccaferri; Sergio Conti
Journal:  Ann Bot       Date:  2002-06       Impact factor: 4.357

6.  Molecular mapping of capsaicinoid biosynthesis genes and quantitative trait loci analysis for capsaicinoid content in Capsicum.

Authors:  Eyal Blum; Michael Mazourek; Mary O'Connell; Jeanne Curry; Troy Thorup; Kede Liu; Molly Jahn; Ilan Paran
Journal:  Theor Appl Genet       Date:  2003-09-13       Impact factor: 5.699

  6 in total

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