Literature DB >> 10589847

Mapping of post-flowering drought resistance traits in grain sorghum: association between QTLs influencing premature senescence and maturity.

O R Crasta1, W W Xu, D T Rosenow, J Mullet, H T Nguyen.   

Abstract

The identification of genetic factors underlying the complex responses of plants to drought stress provides a solid basis for improving drought resistance. The staygreen character in sorghum (Sorghum bicolor L. Moench) is a post-flowering drought resistance trait, which makes plants resistant to premature senescence under drought stress during the grainfilling stage. The objective of this study was to identify quantitative trait loci (QTLs) that control premature senescence and maturity traits, and to investigate their association under post-flowering drought stress in grain sorghum. A genetic linkage map was developed using a set of recombinant inbred lines (RILs) obtained from the cross B35 x Tx430, which were scored for 142 restriction fragment length polymorphism (RFLP) markers. The RILs and their parental lines were evaluated for post-flowering drought resistance and maturity in four environments. Simple interval mapping identified seven stay-green QTLs and two maturity QTLs. Three major stay-green QTLs (SGA, SGD and SGG) contributed to 42% of the phenotypic variability (LOD 9.0) and four minor QTLs (SGB, SGI. 1, SGI.2, and SGJ) significantly contributed to an additional 25% of the phenotypic variability in stay-green ratings. One maturity QTL (DFB) alone contributed to 40% of the phenotypic variability (LOD 10.0), while the second QTL (DFG) significantly contributed to an additional 17% of the phenotypic variability (LOD 4.9). Composite interval mapping confirmed the above results with an additional analysis of the QTL x Environment interaction. With heritability estimates of 0.72 for stay-green and 0.90 for maturity, the identified QTLs explained about 90% and 63% of genetic variability for stay-green and maturity traits, respectively. Although stay-green ratings were significantly correlated (r = 0.22, P< or =0.05) with maturity, six of the seven stay-green QTLs were independent of the QTLs influencing maturity. Similarly, one maturity QTL (DFB) was independent of the staygreen QTLs. One stay-green QTL (SGG), however, mapped in the vicinity of a maturity QTL (DFG), and all markers in the vicinity of the independent maturity QTL (DFB) were significantly (P< or =0.1) correlated with stay-green ratings, confounding the phenotyping of stay-green. The molecular genetic analysis of the QTLs influencing stay-green and maturity, together with the association between these two inversely related traits, provides a basis for further study of the underlying physiological mechanisms and demonstrates the possibility of improving drought resistance in plants by pyramiding the favorable QTLs.

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Year:  1999        PMID: 10589847     DOI: 10.1007/s004380051120

Source DB:  PubMed          Journal:  Mol Gen Genet        ISSN: 0026-8925


  41 in total

1.  Mapping QTLs associated with drought avoidance in upland rice grown in the Philippines and West Africa.

Authors:  Adam H Price; John Townend; Monty P Jones; Alain Audebert; Brigitte Courtois
Journal:  Plant Mol Biol       Date:  2002 Mar-Apr       Impact factor: 4.076

2.  QTL for nodal root angle in sorghum (Sorghum bicolor L. Moench) co-locate with QTL for traits associated with drought adaptation.

Authors:  E S Mace; V Singh; E J Van Oosterom; G L Hammer; C H Hunt; D R Jordan
Journal:  Theor Appl Genet       Date:  2011-09-22       Impact factor: 5.699

3.  The genetic basis of stay-green in rice analyzed in a population of doubled haploid lines derived from an indica by japonica cross.

Authors:  G H Jiang; Y Q He; C G Xu; X H Li; Q Zhang
Journal:  Theor Appl Genet       Date:  2003-10-16       Impact factor: 5.699

4.  Studying the genetic basis of drought tolerance in sorghum by managed stress trials and adjustments for phenological and plant height differences.

Authors:  P K Sabadin; M Malosetti; M P Boer; F D Tardin; F G Santos; C T Guimarães; R L Gomide; C L T Andrade; P E P Albuquerque; F F Caniato; M Mollinari; G R A Margarido; B F Oliveira; R E Schaffert; A A F Garcia; F A van Eeuwijk; J V Magalhaes
Journal:  Theor Appl Genet       Date:  2012-05       Impact factor: 5.699

5.  Sorghum bicolor's transcriptome response to dehydration, high salinity and ABA.

Authors:  Christina D Buchanan; Sanghyun Lim; Ron A Salzman; Ioannis Kagiampakis; Daryl T Morishige; Brock D Weers; Robert R Klein; Lee H Pratt; Marie-Michèle Cordonnier-Pratt; Patricia E Klein; John E Mullet
Journal:  Plant Mol Biol       Date:  2005-07       Impact factor: 4.076

6.  Identification of quantitative trait loci for agronomically important traits and their association with genic-microsatellite markers in sorghum.

Authors:  G Srinivas; K Satish; R Madhusudhana; R Nagaraja Reddy; S Murali Mohan; N Seetharama
Journal:  Theor Appl Genet       Date:  2009-03-10       Impact factor: 5.699

7.  Development of genic-microsatellite markers for sorghum staygreen QTL using a comparative genomic approach with rice.

Authors:  G Srinivas; K Satish; S Murali Mohan; R Nagaraja Reddy; R Madhusudhana; D Balakrishna; B Venkatesh Bhat; C J Howarth; N Seetharama
Journal:  Theor Appl Genet       Date:  2008-04-26       Impact factor: 5.699

8.  Chromosome identification and nomenclature of Sorghum bicolor.

Authors:  Jeong-Soon Kim; Patricia E Klein; Robert R Klein; H James Price; John E Mullet; David M Stelly
Journal:  Genetics       Date:  2004-10-16       Impact factor: 4.562

9.  Molecular mapping of genomic regions harbouring QTLs for root and yield traits in sorghum (Sorghum bicolor L. Moench).

Authors:  B Fakrudin; S P Kavil; Y Girma; S S Arun; D Dadakhalandar; B H Gurusiddesh; A M Patil; M Thudi; S B Bhairappanavar; Y D Narayana; P U Krishnaraj; B M Khadi; M Y Kamatar
Journal:  Physiol Mol Biol Plants       Date:  2013-07

10.  Supermodels: sorghum and maize provide mutual insight into the genetics of flowering time.

Authors:  E S Mace; C H Hunt; D R Jordan
Journal:  Theor Appl Genet       Date:  2013-03-05       Impact factor: 5.699

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