Literature DB >> 34744364

Meta-QTLs, ortho-MQTLs and candidate genes for nitrogen use efficiency and root system architecture in bread wheat (Triticum aestivum L.).

Dinesh Kumar Saini1, Yuvraj Chopra2,3, Neeraj Pal4, Amneek Chahal2, Puja Srivastava1, Pushpendra Kumar Gupta5.   

Abstract

In wheat, meta-QTLs (MQTLs), ortho-MQTLs, and candidate genes (CGs) were identified for nitrogen use efficiency and root system architecture. For this purpose, 1788 QTLs were available from 24 studies published during 2006-2020. Of these, 1098 QTLs were projected onto the consensus map resulting in 118 MQTLs. The average confidence interval (CI) of MQTLs was reduced up to 8.56 folds in comparison to the average CI of QTLs. Of the 118 MQTLs, 112 were anchored to the physical map of the wheat reference genome. The physical interval of MQTLs ranged from 0.02 to 666.18 Mb with a mean of 94.36 Mb. Eighty-eight of these 112 MQTLs were verified by marker-trait associations (MTAs) identified in published genome-wide association studies (GWAS); the MQTLs that were verified using GWAS also included 9 most robust MQTLs, which are particularly useful for breeders; we call them 'Breeder's QTLs'. Some selected wheat MQTLs were further utilized for the identification of ortho-MQTLs for wheat and maize; 9 such ortho-MQTLs were available. As many as 1991 candidate genes (CGs) were also detected, which included 930 CGs with an expression level of > 2 transcripts per million in relevant organs/tissues. Among the CGs, 97 CGs with functions previously reported as important for the traits under study were selected. Based on homology analysis and expression patterns, 49 orthologues of 35 rice genes were also identified in MQTL regions. The results of the present study may prove useful for the improvement of selection strategy for yield potential, stability, and performance under N-limiting conditions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01085-0. © Prof. H.S. Srivastava Foundation for Science and Society 2021.

Entities:  

Keywords:  Breeder’s QTLs; Candidate genes; Meta-QTL analysis; Orthologues

Year:  2021        PMID: 34744364      PMCID: PMC8526679          DOI: 10.1007/s12298-021-01085-0

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


  65 in total

Review 1.  Functions of ABC transporters in plant growth and development.

Authors:  Thanh Ha Thi Do; Enrico Martinoia; Youngsook Lee
Journal:  Curr Opin Plant Biol       Date:  2017-08-30       Impact factor: 7.834

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

Review 3.  Improvement of nutrient use efficiency in rice: current toolbox and future perspectives.

Authors:  Zhihua Zhang; Shaopei Gao; Chengcai Chu
Journal:  Theor Appl Genet       Date:  2020-01-09       Impact factor: 5.699

4.  Molecular cloning of complementary DNA encoding maize nitrite reductase: molecular analysis and nitrate induction.

Authors:  K Lahners; V Kramer; E Back; L Privalle; S Rothstein
Journal:  Plant Physiol       Date:  1988-11       Impact factor: 8.340

Review 5.  Physiological roles of plant glycoside hydrolases.

Authors:  Zoran Minic
Journal:  Planta       Date:  2007-11-29       Impact factor: 4.116

6.  Overexpression of OsPHR3 improves growth traits and facilitates nitrogen use efficiency under low phosphate condition.

Authors:  Yafei Sun; Zhi Hu; Xiaowen Wang; Xing Shen; Siwen Hu; Yan Yan; Surya Kant; Guohua Xu; Yong Xue; Shubin Sun
Journal:  Plant Physiol Biochem       Date:  2021-06-24       Impact factor: 4.270

7.  Identification of Nitrogen Use Efficiency Genes in Barley: Searching for QTLs Controlling Complex Physiological Traits.

Authors:  Mei Han; Julia Wong; Tao Su; Perrin H Beatty; Allen G Good
Journal:  Front Plant Sci       Date:  2016-10-21       Impact factor: 5.753

8.  Genetically modified crops are superior in their nitrogen use efficiency-A meta-analysis of three major cereals.

Authors:  Mengjiao Li; Jili Xu; Zhiyuan Gao; Hui Tian; Yajun Gao; Khalil Kariman
Journal:  Sci Rep       Date:  2020-05-22       Impact factor: 4.379

9.  A Meta-Analysis of Quantitative Trait Loci Associated with Multiple Disease Resistance in Rice (Oryza sativa L.).

Authors:  Ilakiya Sharanee Kumar; Kalaivani Nadarajah
Journal:  Plants (Basel)       Date:  2020-11-05

10.  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

View more
  11 in total

1.  Meta-QTLs, ortho-MetaQTLs and candidate genes for grain Fe and Zn contents in wheat (Triticum aestivum L.).

Authors:  Rakhi Singh; Gautam Saripalli; Tinku Gautam; Anuj Kumar; Irfat Jan; Ritu Batra; Jitendra Kumar; Rahul Kumar; Harindra Singh Balyan; Shailendra Sharma; Pushpendra Kumar Gupta
Journal:  Physiol Mol Biol Plants       Date:  2022-03-25

2.  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

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

Authors:  Neeraj Pal; Dinesh Kumar Saini; Sundip Kumar
Journal:  Physiol Mol Biol Plants       Date:  2021-12-24

4.  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

Review 5.  Recent Advances in Agronomic and Physio-Molecular Approaches for Improving Nitrogen Use Efficiency in Crop Plants.

Authors:  Talha Javed; Indu I; Rajesh Kumar Singhal; Rubab Shabbir; Adnan Noor Shah; Pawan Kumar; Dinesh Jinger; Prathibha M Dharmappa; Munsif Ali Shad; Debanjana Saha; Hirdayesh Anuragi; Robert Adamski; Dorota Siuta
Journal:  Front Plant Sci       Date:  2022-04-29       Impact factor: 6.627

Review 6.  Genetic Control of Efficient Nitrogen Use for High Yield and Grain Protein Concentration in Wheat: A Review.

Authors:  Wan Teng; Xue He; Yiping Tong
Journal:  Plants (Basel)       Date:  2022-02-11

7.  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

8.  A consensus map for quality traits in durum wheat based on genome-wide association studies and detection of ortho-meta QTL across cereal species.

Authors:  Ilaria Marcotuli; Jose Miguel Soriano; Agata Gadaleta
Journal:  Front Genet       Date:  2022-08-30       Impact factor: 4.772

9.  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

10.  A comprehensive meta-QTL analysis for yield-related traits of durum wheat (Triticum turgidum L. var. durum) grown under different water regimes.

Authors:  Osvin Arriagada; Agata Gadaleta; Ilaria Marcotuli; Marco Maccaferri; Matteo Campana; Samantha Reveco; Christian Alfaro; Iván Matus; Andrés R Schwember
Journal:  Front Plant Sci       Date:  2022-09-06       Impact factor: 6.627

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.