Literature DB >> 34985537

Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.).

Dinesh Kumar Saini1, Puja Srivastava2, Neeraj Pal3, P K Gupta4.   

Abstract

KEY MESSAGE: In wheat, 2852 major QTLs of 8998 QTLs available for yield and related traits were used for meta-analysis; 141 meta-QTLs were identified, which included 13 breeder's MQTLs and 24 ortho-MQTLs; 1202 candidate genes and 50 homologues of genes for yield from other cereals were also identified. Meta-QTL analysis was conducted using 2852 of the 8998 known QTLs, retrieved from 230 reports published during 1999-2020 (including 19 studies on tetraploid wheat) for grain yield (GY) and the following ten component traits: (i) grain weight (GWei), (ii) grain morphology-related traits (GMRTs), (iii) grain number (GN), (iv) spikes-related traits (SRTs), (v) plant height (PH), (vi) tiller number (TN), (vii) harvest index (HI), (viii) biomass yield (BY), (ix) days to heading/flowering and maturity (DTH/F/M), and (x) grain filling duration (GFD). The study resulted in the identification of 141 meta-QTLs (MQTLs), with an average confidence interval (CI) of 1.4 cM as against a CI of > 12.1 cM (8.8 fold reduction) in the QTLs that were used. The corresponding physical length of CI ranged from 0.01 Mb to 661.9 Mb (mean, 31.5 Mb). Seventy-seven (77) of these 141 MQTLs overlapped marker-trait associations (MTAs) reported in genome-wide association studies. Also, 63 MQTLs (each based on at least 10 QTLs) were considered stable and robust, with 13 MQTLs described as breeder's MQTLs (selected based on small CI, large LOD, and high level of phenotypic variation explained). Thirty-five yield-related genes from rice, barley, and maize were also utilized to identify 50 wheat homologues in MQTLs. Further, the use of synteny and collinearity allowed the identification of 24 ortho-MQTLs which were common among the wheat, barley, rice, and maize. The results of the present study should prove useful for wheat breeding and future basic research in cereals including wheat, barley, rice, and maize.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Mesh:

Year:  2022        PMID: 34985537     DOI: 10.1007/s00122-021-04018-3

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


  80 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.  ramosa2 encodes a LATERAL ORGAN BOUNDARY domain protein that determines the fate of stem cells in branch meristems of maize.

Authors:  Esteban Bortiri; George Chuck; Erik Vollbrecht; Torbert Rocheford; Rob Martienssen; Sarah Hake
Journal:  Plant Cell       Date:  2006-01-06       Impact factor: 11.277

3.  Introgression of "QTL-hotspot" region enhances drought tolerance and grain yield in three elite chickpea cultivars.

Authors:  Chellapilla Bharadwaj; Shailesh Tripathi; Khela R Soren; Mahendar Thudi; Rajesh K Singh; Seema Sheoran; Manish Roorkiwal; Basavanagouda Siddanagouda Patil; Annapurna Chitikineni; Ramesh Palakurthi; Anilkumar Vemula; Abhishek Rathore; Yogesh Kumar; Sushil K Chaturvedi; Biswajit Mondal; Pichandampalayam Subramaniam Shanmugavadivel; Avinash K Srivastava; Girish P Dixit; Narendra P Singh; Rajeev K Varshney
Journal:  Plant Genome       Date:  2021-01-22       Impact factor: 4.089

4.  TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data.

Authors:  Chengjie Chen; Hao Chen; Yi Zhang; Hannah R Thomas; Margaret H Frank; Yehua He; Rui Xia
Journal:  Mol Plant       Date:  2020-06-23       Impact factor: 13.164

5.  Quantitative variation in maize kernel row number is controlled by the FASCIATED EAR2 locus.

Authors:  Peter Bommert; Namiko Satoh Nagasawa; David Jackson
Journal:  Nat Genet       Date:  2013-02-03       Impact factor: 38.330

6.  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

7.  Identification of Transcription Factors Regulating Senescence in Wheat through Gene Regulatory Network Modelling.

Authors:  Philippa Borrill; Sophie A Harrington; James Simmonds; Cristobal Uauy
Journal:  Plant Physiol       Date:  2019-05-07       Impact factor: 8.340

8.  Candidate Loci for Yield-Related Traits in Maize Revealed by a Combination of MetaQTL Analysis and Regional Association Mapping.

Authors:  Lin Chen; Yixin An; Yong-Xiang Li; Chunhui Li; Yunsu Shi; Yanchun Song; Dengfeng Zhang; Tianyu Wang; Yu Li
Journal:  Front Plant Sci       Date:  2017-12-22       Impact factor: 5.753

9.  OsPK2 encodes a plastidic pyruvate kinase involved in rice endosperm starch synthesis, compound granule formation and grain filling.

Authors:  Yicong Cai; Sanfeng Li; Guiai Jiao; Zhonghua Sheng; Yawen Wu; Gaoneng Shao; Lihong Xie; Cheng Peng; Junfeng Xu; Shaoqing Tang; Xiangjin Wei; Peisong Hu
Journal:  Plant Biotechnol J       Date:  2018-04-17       Impact factor: 9.803

10.  Overcoming the trade-off between grain weight and number in wheat by the ectopic expression of expansin in developing seeds leads to increased yield potential.

Authors:  Daniel F Calderini; Francisca M Castillo; Anita Arenas-M; Gemma Molero; Matthew P Reynolds; Melanie Craze; Sarah Bowden; Matthew J Milner; Emma J Wallington; Adam Dowle; Leonardo D Gomez; Simon J McQueen-Mason
Journal:  New Phytol       Date:  2020-12-04       Impact factor: 10.151

View more
  8 in total

1.  Unravelling consensus genomic regions associated with quality traits in wheat using meta-analysis of quantitative trait loci.

Authors:  Santosh Gudi; Dinesh Kumar Saini; Gurjeet Singh; Priyanka Halladakeri; Pradeep Kumar; Mohammad Shamshad; Mohammad Jafar Tanin; Satinder Singh; Achla Sharma
Journal:  Planta       Date:  2022-05-05       Impact factor: 4.116

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

Authors:  Neeraj Pal; Irfat Jan; Dinesh Kumar Saini; Kuldeep Kumar; Anuj Kumar; P K Sharma; Sundip Kumar; H S Balyan; P K Gupta
Journal:  Theor Appl Genet       Date:  2022-06-14       Impact factor: 5.574

3.  Whole-genome analysis of hard winter wheat germplasm identifies genomic regions associated with spike and kernel traits.

Authors:  Harsimardeep S Gill; Jyotirmoy Halder; Jinfeng Zhang; Anshul Rana; Jonathan Kleinjan; Paul St Amand; Amy Bernardo; Guihua Bai; Sunish K Sehgal
Journal:  Theor Appl Genet       Date:  2022-08-08       Impact factor: 5.574

4.  Genetic Dissection of Three Major Quantitative Trait Loci for Spike Compactness and Length in Bread Wheat (Triticum aestivum L.).

Authors:  Qin Yu; Bo Feng; Zhibin Xu; Xiaoli Fan; Qiang Zhou; Guangsi Ji; Simin Liao; Ping Gao; Tao Wang
Journal:  Front Plant Sci       Date:  2022-05-23       Impact factor: 6.627

5.  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

6.  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

7.  Genetics of the Inverse Relationship between Grain Yield and Grain Protein Content in Common Wheat.

Authors:  Manuel Geyer; Volker Mohler; Lorenz Hartl
Journal:  Plants (Basel)       Date:  2022-08-18

8.  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

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.