Literature DB >> 35035135

Meta-QTLs, ortho-MQTLs and candidate genes for the traits contributing to salinity stress tolerance in common wheat (Triticum aestivum L.).

Neeraj Pal1, Dinesh Kumar Saini2, Sundip Kumar1.   

Abstract

A meta-analysis of QTLs associated with the traits contributing to salinity tolerance was undertaken in wheat to detect consensus and robust meta-QTLs (MQTLs) using 844 known QTLs retrieved from 26 earlier studies. A consensus map with a total length of 4621.56 cM including 7710 markers was constructed using 21 individual linkage maps and three previously published integrated genetic maps. Out of 844 QTLs, 571 QTLs were projected on the consensus map which gave origin to 100 MQTLs. Interestingly, 49 MQTLs were co-located with marker-trait associations reported in wheat genome-wide association studies for the traits contributing to salinity stress tolerance. Five potential MQTLs associated with the major salinity-responsive traits were also identified to be utilized in the breeding programme. In the resulted MQTLs, the average confidence interval (CI, 3.58 cM) was reduced up to 4.16 folds compared to the mean CI of the initial QTLs. Furthermore, as many as 617 gene models including 81 most likely candidate genes (CGs) were identified in the high confidence MQTL regions. These most likely CGs encoded proteins mainly belonging to the following families: B-box-type zinc finger, cytochrome P450 protein, pentatricopeptide repeat, phospholipid/glycerol acyltransferase, F-box protein, small auxin-up RNA, UDP-glucosyltransferase, glutathione S-transferase protein, etc. In addition, ortho-MQTL analysis based on synteny among wheat, rice and barley was also performed which permitted the identification of six ortho-MQTLs among these three cereals. This meta-analysis defines a genome-wide landscape on the most stable and consistent loci associated with reliable molecular markers and candidate genes for salinity tolerance in wheat. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01112-0. © Prof. H.S. Srivastava Foundation for Science and Society 2021.

Entities:  

Keywords:  MQTLs; Ortho-MQTLs; QTLs; Salinity; Wheat

Year:  2021        PMID: 35035135      PMCID: PMC8720133          DOI: 10.1007/s12298-021-01112-0

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


  57 in total

1.  Comparative DNA sequence analysis of wheat and rice genomes.

Authors:  Mark E Sorrells; Mauricio La Rota; Catherine E Bermudez-Kandianis; Robert A Greene; Ramesh Kantety; Jesse D Munkvold; Ahmed Mahmoud; Xuefeng Ma; Perry J Gustafson; Lili L Qi; Benjamin Echalier; Bikram S Gill; David E Matthews; Gerard R Lazo; Shiaoman Chao; Olin D Anderson; Hugh Edwards; Anna M Linkiewicz; Jorge Dubcovsky; Eduard D Akhunov; Jan Dvorak; Deshui Zhang; Henry T Nguyen; Junhua Peng; Nora L V Lapitan; Jose L Gonzalez-Hernandez; James A Anderson; Khwaja Hossain; Venu Kalavacharla; Shahryar F Kianian; Dong-Woog Choi; Timothy J Close; Muharrem Dilbirligi; Kulvinder S Gill; Camille Steber; Mary K Walker-Simmons; Patrick E McGuire; Calvin O Qualset
Journal:  Genome Res       Date:  2003-08       Impact factor: 9.043

2.  Homoeologous relationships of rice, wheat and maize chromosomes.

Authors:  S Ahn; J A Anderson; M E Sorrells; S D Tanksley
Journal:  Mol Gen Genet       Date:  1993-12

3.  UDP-glucosyltransferase71c5, a major glucosyltransferase, mediates abscisic acid homeostasis in Arabidopsis.

Authors:  Zhen Liu; Jin-Ping Yan; De-Kuan Li; Qin Luo; Qiujie Yan; Zhi-Bin Liu; Li-Ming Ye; Jian-Mei Wang; Xu-Feng Li; Yi Yang
Journal:  Plant Physiol       Date:  2015-02-20       Impact factor: 8.340

4.  A genetic map in the Mimulus guttatus species complex reveals transmission ratio distortion due to heterospecific interactions.

Authors:  L Fishman; A J Kelly; E Morgan; J H Willis
Journal:  Genetics       Date:  2001-12       Impact factor: 4.562

5.  Receptor-like kinase OsSIK1 improves drought and salt stress tolerance in rice (Oryza sativa) plants.

Authors:  Shou-Qiang Ouyang; Yun-Feng Liu; Peng Liu; Gang Lei; Si-Jie He; Biao Ma; Wan-Ke Zhang; Jin-Song Zhang; Shou-Yi Chen
Journal:  Plant J       Date:  2010-01-27       Impact factor: 6.417

6.  Mapping of the K(+)/Na (+) discrimination locus Kna1 in wheat.

Authors:  J Dubcovsky; G S María; E Epstein; M C Luo; J Dvořák
Journal:  Theor Appl Genet       Date:  1996-03       Impact factor: 5.699

7.  Meta-analysis of major QTL for abiotic stress tolerance in barley and implications for barley breeding.

Authors:  Xuechen Zhang; Sergey Shabala; Anthony Koutoulis; Lana Shabala; Meixue Zhou
Journal:  Planta       Date:  2016-10-11       Impact factor: 4.116

8.  Comprehensive expression analysis of rice Armadillo gene family during abiotic stress and development.

Authors:  Manisha Sharma; Amarjeet Singh; Alka Shankar; Amita Pandey; Vinay Baranwal; Sanjay Kapoor; Akhilesh K Tyagi; Girdhar K Pandey
Journal:  DNA Res       Date:  2014-01-06       Impact factor: 4.458

9.  MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments.

Authors:  Jean-Baptiste Veyrieras; Bruno Goffinet; Alain Charcosset
Journal:  BMC Bioinformatics       Date:  2007-02-08       Impact factor: 3.169

Review 10.  Mechanism of salinity tolerance in plants: physiological, biochemical, and molecular characterization.

Authors:  Bhaskar Gupta; Bingru Huang
Journal:  Int J Genomics       Date:  2014-04-03       Impact factor: 2.326

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  6 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.  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

4.  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

5.  Comparative transcriptome analysis of synthetic and common wheat in response to salt stress.

Authors:  Rio Nakayama; Mohammad Taheb Safi; Waisuddin Ahmadzai; Kazuhiro Sato; Kanako Kawaura
Journal:  Sci Rep       Date:  2022-07-07       Impact factor: 4.996

6.  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

  6 in total

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