Meta-QTLs, Ortho-MQTLs and Candidate Genes for Nitrogen Use Efficiency and Root System Architecture in Bread Wheat ( L.)

Overview

Journal Physiol Mol Biol Plants

Specialty Biology

Date 2021 Nov 8

PMID 34744364

Citations 31

Authors

Dinesh Kumar Saini

Yuvraj Chopra

Neeraj Pal

Amneek Chahal

Puja Srivastava

Pushpendra Kumar Gupta

Affiliations

Soon will be listed here.

Abstract

Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-021-01085-0.

Citing Articles

Genetic Basis of Seedling Root Traits in Common Wheat ( L.) Identified by Genome-Wide Linkage Mapping.

Ma X, Wang J, Zhang H, Yao L, Si E, Li B Plants (Basel). 2025; 14(3).

PMID: 39943052 PMC: 11820154. DOI: 10.3390/plants14030490.

Dissection of QTLs underlying the genetic basis of drought resistance in wheat: a meta-analysis.

Shakir A, Geng M, Tian J, Wang R Theor Appl Genet. 2025; 138(1):25.

PMID: 39786445 DOI: 10.1007/s00122-024-04811-w.

Meta-QTL mapping for wheat thousand kernel weight.

Tan C, Guo X, Dong H, Li M, Chen Q, Cheng M Front Plant Sci. 2024; 15:1499055.

PMID: 39737382 PMC: 11682887. DOI: 10.3389/fpls.2024.1499055.

QTL Mapping of Yield, Agronomic, and Nitrogen-Related Traits in Barley ( L.) under Low Nitrogen and Normal Nitrogen Treatments.

Chen B, Hou Y, Huo Y, Zeng Z, Hu D, Mao X Plants (Basel). 2024; 13(15).

PMID: 39124255 PMC: 11314459. DOI: 10.3390/plants13152137.

Meta-QTL analysis and identification of candidate genes for multiple-traits associated with spot blotch resistance in bread wheat.

Vasistha N, Sharma V, Singh S, Kaur R, Kumar A, Ravat V Sci Rep. 2024; 14(1):13083.

PMID: 38844568 PMC: 11156910. DOI: 10.1038/s41598-024-63924-w.

References

Do T, Martinoia E, Lee Y . Functions of ABC transporters in plant growth and development. Curr Opin Plant Biol. 2017; 41:32-38. DOI: 10.1016/j.pbi.2017.08.003. View

Li M, Xu J, Gao Z, Tian H, Gao Y, Kariman K . Genetically modified crops are superior in their nitrogen use efficiency-A meta-analysis of three major cereals. Sci Rep. 2020; 10(1):8568. PMC: 7244766. DOI: 10.1038/s41598-020-65684-9. View

Lahners K, Kramer V, Back E, Privalle L, Rothstein S . Molecular cloning of complementary DNA encoding maize nitrite reductase: molecular analysis and nitrate induction. Plant Physiol. 1988; 88(3):741-6. PMC: 1055653. DOI: 10.1104/pp.88.3.741. View

Kumar I, Nadarajah K . A Meta-Analysis of Quantitative Trait Loci Associated with Multiple Disease Resistance in Rice ( L.). Plants (Basel). 2020; 9(11). PMC: 7694349. DOI: 10.3390/plants9111491. View

Veyrieras J, Goffinet B, Charcosset A . MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments. BMC Bioinformatics. 2007; 8:49. PMC: 1808479. DOI: 10.1186/1471-2105-8-49. View

Zhang Z, Gao S, Chu C . Improvement of nutrient use efficiency in rice: current toolbox and future perspectives. Theor Appl Genet. 2020; 133(5):1365-1384. DOI: 10.1007/s00122-019-03527-6. View

Sun Y, Hu Z, Wang X, Shen X, Hu S, Yan Y . Overexpression of OsPHR3 improves growth traits and facilitates nitrogen use efficiency under low phosphate condition. Plant Physiol Biochem. 2021; 166:712-722. DOI: 10.1016/j.plaphy.2021.06.041. View

Minic Z . Physiological roles of plant glycoside hydrolases. Planta. 2007; 227(4):723-40. DOI: 10.1007/s00425-007-0668-y. View

Han M, Wong J, Su T, Beatty P, Good A . Identification of Nitrogen Use Efficiency Genes in Barley: Searching for QTLs Controlling Complex Physiological Traits. Front Plant Sci. 2016; 7:1587. PMC: 5073129. DOI: 10.3389/fpls.2016.01587. View

10.

Ahn S, ANDERSON J, Sorrells M, Tanksley S . Homoeologous relationships of rice, wheat and maize chromosomes. Mol Gen Genet. 1993; 241(5-6):483-90. DOI: 10.1007/BF00279889. View

11.

Kumar S, Mohan A, Balyan H, Gupta P . Orthology between genomes of Brachypodium, wheat and rice. BMC Res Notes. 2009; 2:93. PMC: 2695472. DOI: 10.1186/1756-0500-2-93. View

12.

Khahani B, Tavakol E, Shariati V, Fornara F . Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice. BMC Genomics. 2020; 21(1):294. PMC: 7146888. DOI: 10.1186/s12864-020-6702-1. View

13.

Yang X, Xia X, Zeng Y, Nong B, Zhang Z, Wu Y . Genome-wide identification of the peptide transporter family in rice and analysis of the PTR expression modulation in two near-isogenic lines with different nitrogen use efficiency. BMC Plant Biol. 2020; 20(1):193. PMC: 7203820. DOI: 10.1186/s12870-020-02419-y. View

14.

Saini D, Srivastava P, Pal N, Gupta P . Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.). Theor Appl Genet. 2022; 135(3):1049-1081. DOI: 10.1007/s00122-021-04018-3. View

15.

Somers D, Isaac P, Edwards K . A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor Appl Genet. 2004; 109(6):1105-14. DOI: 10.1007/s00122-004-1740-7. View

16.

Zhang Y, Yu C, Lin J, Liu J, Liu B, Wang J . OsMPH1 regulates plant height and improves grain yield in rice. PLoS One. 2017; 12(7):e0180825. PMC: 5510837. DOI: 10.1371/journal.pone.0180825. View

17.

Quraishi U, Abrouk M, Murat F, Pont C, Foucrier S, Desmaizieres G . Cross-genome map based dissection of a nitrogen use efficiency ortho-metaQTL in bread wheat unravels concerted cereal genome evolution. Plant J. 2011; 65(5):745-56. DOI: 10.1111/j.1365-313X.2010.04461.x. View

18.

Good A, Shrawat A, Muench D . Can less yield more? Is reducing nutrient input into the environment compatible with maintaining crop production?. Trends Plant Sci. 2004; 9(12):597-605. DOI: 10.1016/j.tplants.2004.10.008. View

19.

Brasier K, Ward B, Smith J, Seago J, Oakes J, Balota M . Identification of quantitative trait loci associated with nitrogen use efficiency in winter wheat. PLoS One. 2020; 15(2):e0228775. PMC: 7039505. DOI: 10.1371/journal.pone.0228775. View

20.

Tiong J, Sharma N, Sampath R, MacKenzie N, Watanabe S, Metot C . Improving Nitrogen Use Efficiency Through Overexpression of Alanine Aminotransferase in Rice, Wheat, and Barley. Front Plant Sci. 2021; 12:628521. PMC: 7875890. DOI: 10.3389/fpls.2021.628521. View