Literature DB >> 35699741

Meta-QTLs for multiple disease resistance involving three rusts in common wheat (Triticum aestivum L.).

Neeraj Pal1, Irfat Jan2, Dinesh Kumar Saini3, Kuldeep Kumar2, Anuj Kumar2, P K Sharma2, Sundip Kumar1, H S Balyan2, P K Gupta4,5.   

Abstract

KEY MESSAGE: In wheat, multiple disease resistance meta-QTLs (MDR-MQTLs) and underlying candidate genes for the three rusts were identified which may prove useful for development of resistant cultivars. Rust diseases in wheat are a major threat to global food security. Therefore, development of multiple disease-resistant cultivars (resistant to all three rusts) is a major goal in all wheat breeding programs worldwide. In the present study, meta-QTLs and candidate genes for multiple disease resistance (MDR) involving all three rusts were identified using 152 individual QTL mapping studies for resistance to leaf rust (LR), stem rust (SR), and yellow rust (YR). From these 152 studies, a total of 1,146 QTLs for resistance to three rusts were retrieved, which included 368 QTLs for LR, 291 QTLs for SR, and 487 QTLs for YR. Of these 1,146 QTLs, only 718 QTLs could be projected onto the consensus map saturated with 2, 34,619 markers. Meta-analysis of the projected QTLs resulted in the identification of 86 MQTLs, which included 71 MDR-MQTLs. Ten of these MDR-MQTLs were referred to as the 'Breeders' MQTLs'. Seventy-eight of the 86 MQTLs could also be anchored to the physical map of the wheat genome, and 54 MQTLs were validated by marker-trait associations identified during earlier genome-wide association studies. Twenty MQTLs (including 17 MDR-MQTLs) identified in the present study were co-localized with 44 known R genes. In silico expression analysis allowed identification of several differentially expressed candidate genes (DECGs) encoding proteins carrying different domains including the following: NBS-LRR, WRKY domains, F-box domains, sugar transporters, transferases, etc. The introgression of these MDR loci into high-yielding cultivars should prove useful for developing high yielding cultivars with resistance to all the three rusts.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Mesh:

Year:  2022        PMID: 35699741     DOI: 10.1007/s00122-022-04119-7

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.574


  57 in total

1.  BioMercator: integrating genetic maps and QTL towards discovery of candidate genes.

Authors:  Anne Arcade; Aymeric Labourdette; Matthieu Falque; Brigitte Mangin; Fabien Chardon; Alain Charcosset; Johann Joets
Journal:  Bioinformatics       Date:  2004-04-01       Impact factor: 6.937

2.  Genetic architecture of flowering time in maize as inferred from quantitative trait loci meta-analysis and synteny conservation with the rice genome.

Authors:  Fabien Chardon; Bérangère Virlon; Laurence Moreau; Matthieu Falque; Johann Joets; Laurent Decousset; Alain Murigneux; Alain Charcosset
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

3.  The stem rust resistance gene Rpg5 encodes a protein with nucleotide-binding-site, leucine-rich, and protein kinase domains.

Authors:  R Brueggeman; A Druka; J Nirmala; T Cavileer; T Drader; N Rostoks; A Mirlohi; H Bennypaul; U Gill; D Kudrna; C Whitelaw; A Kilian; F Han; Y Sun; K Gill; B Steffenson; A Kleinhofs
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-23       Impact factor: 11.205

4.  A simple method to calculate resolving power and confidence interval of QTL map location.

Authors:  A Darvasi; M Soller
Journal:  Behav Genet       Date:  1997-03       Impact factor: 2.805

5.  Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars.

Authors:  Colin R Cavanagh; Shiaoman Chao; Shichen Wang; Bevan Emma Huang; Stuart Stephen; Seifollah Kiani; Kerrie Forrest; Cyrille Saintenac; Gina L Brown-Guedira; Alina Akhunova; Deven See; Guihua Bai; Michael Pumphrey; Luxmi Tomar; Debbie Wong; Stephan Kong; Matthew Reynolds; Marta Lopez da Silva; Harold Bockelman; Luther Talbert; James A Anderson; Susanne Dreisigacker; Stephen Baenziger; Arron Carter; Viktor Korzun; Peter Laurent Morrell; Jorge Dubcovsky; Matthew K Morell; Mark E Sorrells; Matthew J Hayden; Eduard Akhunov
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-29       Impact factor: 11.205

6.  Serine/threonine kinase gene Stpk-V, a key member of powdery mildew resistance gene Pm21, confers powdery mildew resistance in wheat.

Authors:  Aizhong Cao; Liping Xing; Xiaoyun Wang; Xueming Yang; Wei Wang; Yulei Sun; Chen Qian; Jinlong Ni; Yaping Chen; Dajun Liu; Xiue Wang; Peidu Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-20       Impact factor: 11.205

7.  Transcriptome analysis of high-temperature adult-plant resistance conditioned by Yr39 during the wheat-Puccinia striiformis f. sp. tritici interaction.

Authors:  Tristan E Coram; Matthew L Settles; Xianming Chen
Journal:  Mol Plant Pathol       Date:  2008-07       Impact factor: 5.663

8.  Evidence of Multiple Disease Resistance (MDR) and implication of meta-analysis in marker assisted selection.

Authors:  Farhan Ali; Qingchun Pan; Genshen Chen; Kashif Rafiq Zahid; Jianbing Yan
Journal:  PLoS One       Date:  2013-07-10       Impact factor: 3.240

9.  Nested Association Mapping of Stem Rust Resistance in Wheat Using Genotyping by Sequencing.

Authors:  Prabin Bajgain; Matthew N Rouse; Toi J Tsilo; Godwin K Macharia; Sridhar Bhavani; Yue Jin; James A Anderson
Journal:  PLoS One       Date:  2016-05-17       Impact factor: 3.240

10.  Identification and characterization of wheat stem rust resistance gene Sr21 effective against the Ug99 race group at high temperature.

Authors:  Shisheng Chen; Wenjun Zhang; Stephen Bolus; Matthew N Rouse; Jorge Dubcovsky
Journal:  PLoS Genet       Date:  2018-04-03       Impact factor: 5.917

View more
  4 in total

1.  Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding.

Authors:  Mohammad Jafar Tanin; Dinesh Kumar Saini; Karansher Singh Sandhu; Neeraj Pal; Santosh Gudi; Jyoti Chaudhary; Achla Sharma
Journal:  Sci Rep       Date:  2022-08-11       Impact factor: 4.996

2.  Delineating meta-quantitative trait loci for anthracnose resistance in common bean (Phaseolus vulgaris L.).

Authors:  Safoora Shafi; Dinesh Kumar Saini; Mohd Anwar Khan; Vanya Bawa; Neeraj Choudhary; Waseem Ali Dar; Arun K Pandey; Rajeev Kumar Varshney; Reyazul Rouf Mir
Journal:  Front Plant Sci       Date:  2022-08-25       Impact factor: 6.627

3.  Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean.

Authors:  Asma Rahmanzadeh; Bahman Khahani; S Mohsen Taghavi; Moein Khojasteh; Ebrahim Osdaghi
Journal:  BMC Genomics       Date:  2022-10-03       Impact factor: 4.547

4.  Consensus genomic regions associated with grain protein content in hexaploid and tetraploid wheat.

Authors:  Pooja Saini; Imran Sheikh; Dinesh Kumar Saini; Reyazul Rouf Mir; Harcharan Singh Dhaliwal; Vikrant Tyagi
Journal:  Front Genet       Date:  2022-09-28       Impact factor: 4.772

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.