Literature DB >> 24431509

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

B Fakrudin1, S P Kavil1, Y Girma2, S S Arun3, D Dadakhalandar1, B H Gurusiddesh1, A M Patil1, M Thudi4, S B Bhairappanavar1, Y D Narayana5, P U Krishnaraj1, B M Khadi6, M Y Kamatar5.   

Abstract

Root system is a vital part of plants for absorbing soil moisture and nutrients and it influences the drought tolerance. Identification of the genomic regions harbouring quantitative trait loci (QTLs) for root and yield traits, and the linked markers can facilitate sorghum improvement through marker-assisted selection (MAS) besides the deeper understanding of the plant response to drought stress. A population of 184 recombinant inbred lines (RILs), derived from E36-1 × SPV570, along with parents were phenotyped for component traits of yield in field and root traits in an above ground rhizotron. High estimates of heritability and genetic advance for all the root traits and for most of the yield traits, presents high scope for improvement of these traits by simple selection. A linkage map constructed with 104 marker loci comprising 50 EST-SSRs, 34 non-genic nuclear SSRs and 20 SNPs, and QTL analysis was performed using composite interval mapping (CIM) approach. A total of eight and 20 QTLs were mapped for root and yield related traits respectively. The QTLs for root volume, root fresh weight and root dry weight were found co-localized on SBI-04, supported by a positive correlation among these traits. Hence, these traits can be improved using the same linked markers. The lack of overlap between the QTLs of component traits of root and yield suggested that these two sets of parameters are independent in their influence and the possibility of combining these two traits might enhance productivity of sorghum under receding moisture condition.

Entities:  

Keywords:  Linkage map; QTLs mapping; Root traits; Sorghum; Variability and correlation analysis

Year:  2013        PMID: 24431509      PMCID: PMC3715642          DOI: 10.1007/s12298-013-0188-0

Source DB:  PubMed          Journal:  Physiol Mol Biol Plants        ISSN: 0974-0430


  25 in total

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Authors:  B I G Haussmann; D E Hess; G O Omanya; R T Folkertsma; B V S Reddy; M Kayentao; H G Welz; H H Geiger
Journal:  Theor Appl Genet       Date:  2004-09       Impact factor: 5.699

2.  Rapid and sensitive detection of point mutations and DNA polymorphisms using the polymerase chain reaction.

Authors:  M Orita; Y Suzuki; T Sekiya; K Hayashi
Journal:  Genomics       Date:  1989-11       Impact factor: 5.736

3.  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

4.  Effects of genotype-environment interactions on genetic correlations.

Authors:  A H Aastveit; K Aastveit
Journal:  Theor Appl Genet       Date:  1993-09       Impact factor: 5.699

5.  Integrating sorghum whole genome sequence information with a compendium of sorghum QTL studies reveals uneven distribution of QTL and of gene-rich regions with significant implications for crop improvement.

Authors:  E S Mace; D R Jordan
Journal:  Theor Appl Genet       Date:  2011-04-12       Impact factor: 5.699

6.  Molecular mapping of QTLs conferring stay-green in grain sorghum (Sorghum bicolor L. Moench).

Authors:  W Xu; P K Subudhi; O R Crasta; D T Rosenow; J E Mullet; H T Nguyen
Journal:  Genome       Date:  2000-06       Impact factor: 2.166

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

Authors:  O R Crasta; W W Xu; D T Rosenow; J Mullet; H T Nguyen
Journal:  Mol Gen Genet       Date:  1999-10

8.  A comparison of sequence-based polymorphism and haplotype content in transcribed and anonymous regions of the barley genome.

Authors:  Joanne Russell; Allan Booth; John Fuller; Brian Harrower; Peter Hedley; Gordon Machray; Wayne Powell
Journal:  Genome       Date:  2004-04       Impact factor: 2.166

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.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

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1.  Fine mapping of qGW1, a major QTL for grain weight in sorghum.

Authors:  Lijie Han; Jun Chen; Emma S Mace; Yishan Liu; Mengjiao Zhu; Nana Yuyama; David R Jordan; Hongwei Cai
Journal:  Theor Appl Genet       Date:  2015-06-13       Impact factor: 5.699

Review 2.  Sorghum mitigates climate variability and change on crop yield and quality.

Authors:  Keerthi Chadalavada; B D Ranjitha Kumari; T Senthil Kumar
Journal:  Planta       Date:  2021-04-29       Impact factor: 4.116

3.  Molecular mapping of the brace root traits in sorghum (Sorghum bicolor L. Moench).

Authors:  Ronggai Li; Yucui Han; Peng Lv; Ruiheng Du; Guoqing Liu
Journal:  Breed Sci       Date:  2014-06-01       Impact factor: 2.086

4.  Fine-Mapping of Sorghum Stay-Green QTL on Chromosome10 Revealed Genes Associated with Delayed Senescence.

Authors:  K N S Usha Kiranmayee; C Tom Hash; S Sivasubramani; P Ramu; Bhanu Prakash Amindala; Abhishek Rathore; P B Kavi Kishor; Rajeev Gupta; Santosh P Deshpande
Journal:  Genes (Basel)       Date:  2020-09-01       Impact factor: 4.096

5.  Assessment of root phenotypes in mungbean mini-core collection (MMC) from the World Vegetable Center (AVRDC) Taiwan.

Authors:  Muraleedhar S Aski; Neha Rai; Venkata Ravi Prakash Reddy; Harsh Kumar Dikshit; Gyan Prakash Mishra; Dharmendra Singh; Arun Kumar; Renu Pandey; Madan Pal Singh; Aditya Pratap; Ramakrishnan M Nair; Roland Schafleitner
Journal:  PLoS One       Date:  2021-03-04       Impact factor: 3.240

6.  Genetic dissection of QTLs associated with spikelet-related traits and grain size in sorghum.

Authors:  Hideki Takanashi; Mitsutoshi Shichijo; Lisa Sakamoto; Hiromi Kajiya-Kanegae; Hiroyoshi Iwata; Wataru Sakamoto; Nobuhiro Tsutsumi
Journal:  Sci Rep       Date:  2021-04-30       Impact factor: 4.379

Review 7.  Genetic Architecture of Grain Yield-Related Traits in Sorghum and Maize.

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Journal:  Int J Mol Sci       Date:  2022-02-22       Impact factor: 5.923

Review 8.  Sorghum in dryland: morphological, physiological, and molecular responses of sorghum under drought stress.

Authors:  Kibrom B Abreha; Muluken Enyew; Anders S Carlsson; Ramesh R Vetukuri; Tileye Feyissa; Tiny Motlhaodi; Dickson Ng'uni; Mulatu Geleta
Journal:  Planta       Date:  2021-12-11       Impact factor: 4.116

9.  Large-scale GWAS in sorghum reveals common genetic control of grain size among cereals.

Authors:  Yongfu Tao; Xianrong Zhao; Xuemin Wang; Adrian Hathorn; Colleen Hunt; Alan W Cruickshank; Erik J van Oosterom; Ian D Godwin; Emma S Mace; David R Jordan
Journal:  Plant Biotechnol J       Date:  2019-11-11       Impact factor: 9.803

Review 10.  Drought Tolerance and Application of Marker-Assisted Selection in Sorghum.

Authors:  Andekelile Mwamahonje; John Saviour Yaw Eleblu; Kwadwo Ofori; Santosh Deshpande; Tileye Feyissa; Pangirayi Tongoona
Journal:  Biology (Basel)       Date:  2021-11-30
  10 in total

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