Literature DB >> 24190215

Quantitative trait loci influencing protein and starch concentration in the Illinois Long Term Selection maize strains.

I L Goldman1, T R Rocheford, J W Dudley.   

Abstract

A study was initiated to determine the number, chromosomal location, and magnitude of effect of QTL (quantitative trait loci or locus depending on context) controlling protein and starch concentration in the maize (Zea mays L.) kernel. Restriction fragment length polymorphism (RFLP) analysis was performed on 100 F3 families derived from a cross of two strains, Illinois High Protein (IHP), X Illinois Low Protein (ILP), which had been divergently selected for protein concentration for 76 generations as part of the Illinois Long Term Selection Experiment. These families were analyzed for kernel protein and starch in replicated field trials during 1990 and 1991. A series of 90 genomic and cDNA clones distributed throughout the maize genome were chosen for their ability to detect RFLP between IHP and ILP. These clones were hybridized with DNA extracted from the 100 F3 families, revealing 100 polymorphic loci. Single factor analysis of variance revealed significant QTL associations of many loci with both protein and starch concentration (P < 0.05 level). Twenty-two loci distributed on 10 chromosome arms were significantly associated with protein concentration, 19 loci on 9 chromosome arms were significantly associated with starch concentration. Sixteen of these loci were significant for both protein and starch concentration. Clusters of 3 or more significant loci were detected on chromosome arms 3L, 5S, and 7L for protein concentration, suggesting the presence of QTL with large effects at these locations. A QTL with large additive effects on protein and starch concentration was detected on chromosome arm 3L. RFLP alleles at this QTL were found to be linked with RFLP alleles at the Shrunken-2 (Sh2) locus, a structural gene encoding the major subunit of the starch synthetic enzyme ADP-glucose pyrophosphorylase. A multiple linear regression model consisting of 6 significant RFLP loci on different chromosomes explained over 64 % of the total variation for kernel protein concentration. Similar results were detected for starch concentration. Thus, several chromosomal regions with large effects may be responsible for a significant portion of the changes in kernel protein and starch concentration in the Illinois Long Term Selection Experiment.

Entities:  

Year:  1993        PMID: 24190215     DOI: 10.1007/BF00223767

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


  18 in total

1.  The enzymatic deficiency conditioned by the shrunken-1 mutations in maize.

Authors:  P S Chourey; O E Nelson
Journal:  Biochem Genet       Date:  1976-12       Impact factor: 1.890

2.  Use of isogenic lines and simultaneous probing to identify DNA markers tightly linked to the tm-2a gene in tomato.

Authors:  N D Young; D Zamir; M W Ganal; S D Tanksley
Journal:  Genetics       Date:  1988-10       Impact factor: 4.562

3.  Restriction fragment length polymorphism differences among Illinois long-term selection oil strains.

Authors:  J R Sughroue; T R Rocheford
Journal:  Theor Appl Genet       Date:  1994-03       Impact factor: 5.699

4.  Molecular-marker-facilitated investigations of quantitative trait loci in maize : 4. Analysis based on genome saturation with isozyme and restriction fragment length polymorphism markers.

Authors:  M D Edwards; T Helentjaris; S Wright; C W Stuber
Journal:  Theor Appl Genet       Date:  1992-04       Impact factor: 5.699

5.  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

6.  ADP glucose pyrophosphorylase from maize endosperm.

Authors:  D B Dickinson; J Preiss
Journal:  Arch Biochem Biophys       Date:  1969-03       Impact factor: 4.013

7.  Starch-deficient maize mutant lacking adenosine dephosphate glucose pyrophosphorylase activity.

Authors:  C Y Tsai; O E Nelson
Journal:  Science       Date:  1966-01-21       Impact factor: 47.728

8.  MUTANT GENE THAT CHANGES PROTEIN COMPOSITION AND INCREASES LYSINE CONTENT OF MAIZE ENDOSPERM.

Authors:  E T MERTZ; L S BATES; O E NELSON
Journal:  Science       Date:  1964-07-17       Impact factor: 47.728

9.  Maize regulatory gene opaque-2 encodes a protein with a "leucine-zipper" motif that binds to zein DNA.

Authors:  R J Schmidt; F A Burr; M J Aukerman; B Burr
Journal:  Proc Natl Acad Sci U S A       Date:  1990-01       Impact factor: 11.205

10.  Identification of restriction fragment length polymorphisms linked to genes controlling soluble solids content in tomato fruit.

Authors:  T C Osborn; D C Alexander; J F Fobes
Journal:  Theor Appl Genet       Date:  1987-01       Impact factor: 5.699

View more
  19 in total

1.  Quantitative trait loci for low aflatoxin production in two related maize populations.

Authors:  C Paul; G Naidoo; A Forbes; V Mikkilineni; D White; T Rocheford
Journal:  Theor Appl Genet       Date:  2003-04-01       Impact factor: 5.699

2.  Genetic and QTL analysis of maize tassel and ear inflorescence architecture.

Authors:  N Upadyayula; H S da Silva; M O Bohn; T R Rocheford
Journal:  Theor Appl Genet       Date:  2006-01-05       Impact factor: 5.699

3.  Quantitative trait locus analysis of a recombinant inbred line population derived from a Lycopersicon esculentum x Lycopersicon cheesmanii cross.

Authors:  I L Goldman; I Paran; D Zamir
Journal:  Theor Appl Genet       Date:  1995-06       Impact factor: 5.699

4.  QTL analysis for yield components and kernel-related traits in maize across multi-environments.

Authors:  Bo Peng; Yongxiang Li; Yang Wang; Cheng Liu; Zhizhai Liu; Weiwei Tan; Yan Zhang; Di Wang; Yunsu Shi; Baocheng Sun; Yanchun Song; Tianyu Wang; Yu Li
Journal:  Theor Appl Genet       Date:  2011-02-01       Impact factor: 5.699

Review 5.  AGPase: its role in crop productivity with emphasis on heat tolerance in cereals.

Authors:  Gautam Saripalli; Pushpendra Kumar Gupta
Journal:  Theor Appl Genet       Date:  2015-07-08       Impact factor: 5.699

6.  Genetic architecture of maize kernel composition in the nested association mapping and inbred association panels.

Authors:  Jason P Cook; Michael D McMullen; James B Holland; Feng Tian; Peter Bradbury; Jeffrey Ross-Ibarra; Edward S Buckler; Sherry A Flint-Garcia
Journal:  Plant Physiol       Date:  2011-12-01       Impact factor: 8.340

7.  Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments.

Authors:  Ying Liu; Liwei Wang; Chuanlong Sun; Zuxin Zhang; Yonglian Zheng; Fazhan Qiu
Journal:  Theor Appl Genet       Date:  2014-02-20       Impact factor: 5.699

8.  Influence of dent corn genetic backgrounds on QTL detection for plant-height traits and their relationships in high-oil maize.

Authors:  M Wei; J Fu; X Li; Y Wang; Y Li
Journal:  J Appl Genet       Date:  2009       Impact factor: 3.240

9.  Dissection of maize kernel composition and starch production by candidate gene association.

Authors:  Larissa M Wilson; Sherry R Whitt; Ana M Ibáñez; Torbert R Rocheford; Major M Goodman; Edward S Buckler
Journal:  Plant Cell       Date:  2004-09-17       Impact factor: 11.277

10.  Detailed analysis of a contiguous 22-Mb region of the maize genome.

Authors:  Fusheng Wei; Joshua C Stein; Chengzhi Liang; Jianwei Zhang; Robert S Fulton; Regina S Baucom; Emanuele De Paoli; Shiguo Zhou; Lixing Yang; Yujun Han; Shiran Pasternak; Apurva Narechania; Lifang Zhang; Cheng-Ting Yeh; Kai Ying; Dawn H Nagel; Kristi Collura; David Kudrna; Jennifer Currie; Jinke Lin; Hyeran Kim; Angelina Angelova; Gabriel Scara; Marina Wissotski; Wolfgang Golser; Laura Courtney; Scott Kruchowski; Tina A Graves; Susan M Rock; Stephanie Adams; Lucinda A Fulton; Catrina Fronick; William Courtney; Melissa Kramer; Lori Spiegel; Lydia Nascimento; Ananth Kalyanaraman; Cristian Chaparro; Jean-Marc Deragon; Phillip San Miguel; Ning Jiang; Susan R Wessler; Pamela J Green; Yeisoo Yu; David C Schwartz; Blake C Meyers; Jeffrey L Bennetzen; Robert A Martienssen; W Richard McCombie; Srinivas Aluru; Sandra W Clifton; Patrick S Schnable; Doreen Ware; Richard K Wilson; Rod A Wing
Journal:  PLoS Genet       Date:  2009-11-20       Impact factor: 5.917

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.