» Articles » PMID: 29666780

Identification, Expression Analysis, and Molecular Modeling of ()-like Gene in Hexaploid Wheat

Overview
Journal 3 Biotech
Publisher Springer
Specialty Biotechnology
Date 2018 Apr 19
PMID 29666780
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Graminaceous plants secrete hydroxylated phytosiderophores encoded by the genes iron-deficiency-specific clone 2 () and iron-deficiency-specific clone 3 (). An effort was made to identify a putative ortholog of gene in hexaploid wheat. The protein structure of TaIDS3 was modeled using homology modeling and structural behavior of modeled structure was analyzed at 20 ns. The simulation trajectory using molecular dynamics simulation suggested the model to be stable with no large fluctuations in residues and local domain level RMSF values (< 2.4 Å). In addition, the ProFunc results also predict the functional similarity between the proteins of HvIDS3 and its wheat ortholog (TaIDS3). The gene was assigned to the telomeric region of chromosome arm 7AS which supports the results obtained through bioinformatics analysis. The relative expression analysis of indicated that the detectable expression of is induced after 5th day of Fe starvation and increases gradually up to 15th day, and thereafter, it decreases until 35th day of Fe-starvation. This reflects that Fe deficiency directly regulates the induction of in the roots of hexaploid wheat. The identification of like gene in wheat has opened up new opportunities to enhance the nutrient quality in wheat through biofortification program.

Citing Articles

Regulatory Networks of lncRNAs, miRNAs, and mRNAs in Response to Heat Stress in Wheat ( L.): An Integrated Analysis.

Mishra D, Guha Majumdar S, Kumar A, Bhati J, Chaturvedi K, Kumar R Int J Genomics. 2023; 2023:1774764.

PMID: 37033711 PMC: 10079388. DOI: 10.1155/2023/1774764.


Genetic dissection of marker trait associations for grain micro-nutrients and thousand grain weight under heat and drought stress conditions in wheat.

Devate N, Krishna H, Mishra C, Manjunath K, Sunilkumar V, Chauhan D Front Plant Sci. 2023; 13:1082513.

PMID: 36726675 PMC: 9885108. DOI: 10.3389/fpls.2022.1082513.


Structural and functional insights into the candidate genes associated with different developmental stages of flag leaf in bread wheat ( L.).

Mehla S, Kumar U, Kapoor P, Singh Y, Sihag P, Sagwal V Front Genet. 2022; 13:933560.

PMID: 36092892 PMC: 9449350. DOI: 10.3389/fgene.2022.933560.


Development and characterization of nitrogen and phosphorus use efficiency responsive genic and miRNA derived SSR markers in wheat.

Sagwal V, Sihag P, Singh Y, Mehla S, Kapoor P, Balyan P Heredity (Edinb). 2022; 128(6):391-401.

PMID: 35132208 PMC: 9177559. DOI: 10.1038/s41437-022-00506-4.


Identification of the key functional genes in salt-stress tolerance of Cyanobacterium using in silico analysis.

Shahbazi M, Tohidfar M, Azimzadeh Irani M 3 Biotech. 2021; 11(12):503.

PMID: 34881166 PMC: 8602552. DOI: 10.1007/s13205-021-03050-w.


References
1.
Kobayashi T, Yoshihara T, Itai R, Nakanishi H, Takahashi M, Mori S . Promoter analysis of iron-deficiency-inducible barley IDS3 gene in Arabidopsis and tobacco plants. Plant Physiol Biochem. 2007; 45(5):262-9. DOI: 10.1016/j.plaphy.2007.03.007. View

2.
Ma J, Nomoto K . Two Related Biosynthetic Pathways of Mugineic Acids in Gramineous Plants. Plant Physiol. 1993; 102(2):373-378. PMC: 158790. DOI: 10.1104/pp.102.2.373. View

3.
Nakanishi H, Yamaguchi H, Sasakuma T, Nishizawa N, Mori S . Two dioxygenase genes, Ids3 and Ids2, from Hordeum vulgare are involved in the biosynthesis of mugineic acid family phytosiderophores. Plant Mol Biol. 2000; 44(2):199-207. DOI: 10.1023/a:1006491521586. View

4.
Hoover . Canonical dynamics: Equilibrium phase-space distributions. Phys Rev A Gen Phys. 1985; 31(3):1695-1697. DOI: 10.1103/physreva.31.1695. View

5.
Kumar A, Kumar S, Kumar U, Suravajhala P, Gajula M . Functional and structural insights into novel DREB1A transcription factors in common wheat (Triticum aestivum L.): A molecular modeling approach. Comput Biol Chem. 2016; 64:217-226. DOI: 10.1016/j.compbiolchem.2016.07.008. View