Mechanisms of aluminum tolerance in Triticum aestivum (wheat). IV. The role of ammonium and nitrate nutrition

1985 ◽  
Vol 63 (12) ◽  
pp. 2181-2186 ◽  
Author(s):  
Gregory J. Taylor ◽  
Charles D. Foy
Keyword(s):  
Triticum Aestivum ◽  
Phase Ii ◽  
Aluminum Tolerance ◽  
Triticum Aestivum L ◽  
Al Tolerance ◽  
Solution Ph ◽  
Ph Change ◽  
Initial Ph ◽  
Nutrient Solutions

Five cultivars of Triticum aestivum L. (wheat) were grown for 21 days in solution cultures with aluminum (+Al) (74 μM) and without Al (−Al) at an initial pH of 4.5. Patterns of nitrogen depletion and pH change were biphasic. Ammonium [Formula: see text] was rapidly depleted and solution pH declined during phase I. Depletion of nitrate [Formula: see text] was most rapid and solution pH increased after [Formula: see text] was exhausted from solutions (phase II). Cultivar tolerance to Al was negatively correlated with the rate of pH decline induced by cultivars, and the rate of pH decline was positively correlated with the rate at which cultivars depleted [Formula: see text] from +Al and −Al nutrient solutions. Cultivar tolerance to Al was also negatively correlated with the rate of [Formula: see text] depletion from +Al and −Al solutions. Cultivar tolerance to Al was positively correlated with the rate of [Formula: see text] depletion during phase II but only when plants were grown with Al. These results support the hypothesis that differential Al tolerance among cultivars of T. aestivum is caused by differences in the rate of [Formula: see text], and possibly [Formula: see text], uptake. Such diffferences in N preference may have caused differences in pH and Al solubility in the nutrient solutions.

Mechanisms of aluminum tolerance in Triticum aestivum (wheat). V. Nitrogen nutrition, plant-induced pH, and tolerance to aluminum; correlation without causality?

1988 ◽  
Vol 66 (4) ◽  
pp. 694-699 ◽  
Author(s):  
Gregory J. Taylor
Keyword(s):  
Triticum Aestivum ◽  
Root Growth ◽  
Nitrogen Nutrition ◽  
Aluminum Tolerance ◽  
Triticum Aestivum L ◽  
Solution Culture ◽  
Al Tolerance ◽  
Solution Ph ◽  
Relative Tolerance ◽  
Ph Conditions

An aluminum-tolerant cultivar ('Atlas-66') and an aluminum-sensitive cultivar ('Scout-66') of Triticum aestivum L. were grown in solution culture under conditions of varying [Formula: see text] and [Formula: see text] supply with or without 75 μM aluminum. Plants grown with a low [Formula: see text] ratio in solution maintained a higher solution pH than plants grown with a high [Formula: see text] ratio. Although root growth of 'Scout-66' was greater under high [Formula: see text], high solution pH conditions, the relative tolerance of the cultivars to Al was unaffected by the [Formula: see text] ratio and by solution pH. The superior Al tolerance of 'Atlas-66' could not be explained solely by its ability to maintain a high solution pH in mixed nitrogen solutions.

The expression of aluminum stress induced polypeptides in a population segregating for aluminum tolerance in wheat (Triticum aestivum L.)

Genome ◽  
1995 ◽  
Vol 38 (6) ◽  
pp. 1213-1220 ◽  
Author(s):  
Daryl J. Somers ◽  
J. Perry Gustafson
Keyword(s):  
Gene Expression ◽  
Triticum Aestivum ◽  
Aluminum Tolerance ◽  
Triticum Aestivum L ◽  
Wheat Root ◽  
Root Tips ◽  
Al Tolerance ◽  
Aluminum Stress ◽  
Whole Cell ◽  
Whole Cell Lysate

This study examined the changes in gene expression induced by aluminum (Al) stress in wheat root tips. Seedlings of Triticum aestivum L. cvs. Katepwa (Al sensitive), Maringa (Al tolerant), and Alikat (Al tolerant near isoline; 'Katepwa'*3/'Maringa') and a F2 population derived from 'Katepwa' × 'Alikat', were grown for 3 days in either 0 or 1 μg∙mL−1 Al. Polypeptides were labeled with 35S-methionine prior to separation by gel electrophoresis. There were a few polypeptides from whole cell lysates that showed enhanced expression in all of the genotypes in 1 μg∙mL−1 Al, however, the whole cell lysate and microsomal polypeptide profiles also revealed numerous unique changes in gene expression in Al-sensitive 'Katepwa' at 1 μg∙mL−1 Al; the latter cosegregated with only the Al-sensitive F2 bulks. The microsomal polypeptide profiles of the Al-tolerant lines 'Maringa' and 'Alikat' changed marginally in the presence of Al and these changes were also reflected in the Al-tolerant F2 bulks. The data showed that there were many changes in gene expression which cosegregated with Al sensitivity and suggest that Al tolerance in wheat may rely on constitutively expressed polypeptides.Key words: wheat, aluminum, protein synthesis, segregation.

The role of arabinoxylan in determining the non-linear and linear rheology of bread doughs made from blends of wheat (Triticum aestivum L.) and rye (Secale cereale L.) flour

2021 ◽  
pp. 106990
Author(s):  
Yannick Meeus ◽  
Frederik Janssen ◽  
Arno G.B. Wouters ◽  
Jan A. Delcour ◽  
Paula Moldenaers
Keyword(s):  
Triticum Aestivum ◽  
Secale Cereale ◽  
Triticum Aestivum L ◽  
Non Linear ◽  
Secale Cereale L

scholarly journals Pivotal role of bZIPs in amylose biosynthesis by genome survey and transcriptome analysis in wheat (Triticum aestivum L.) mutants

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Pankaj Kumar ◽  
Ankita Mishra ◽  
Himanshu Sharma ◽  
Dixit Sharma ◽  
Mohammed Saba Rahim ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Transcriptome Analysis ◽  
Triticum Aestivum L ◽  
Pivotal Role ◽  
Genome Survey

scholarly journals Role of Biotic Elicitors as Potent Inducer of Defence Mechanism against Salt-Stress in Wheat (Triticum aestivum L.)

2018 ◽  
Vol 06 (02) ◽  
Author(s):  
Hasan M ◽  
Kumar M ◽  
Rai RD ◽  
Singh A ◽  
Bhaumik SB ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Salt Stress ◽  
Triticum Aestivum L ◽  
Defence Mechanism ◽  
Potent Inducer

The Role of Leaf Epicuticular Wax in the Adaptation of Wheat ( Triticum aestivum L.) to High Temperatures and Moisture Deficit Conditions

Crop Science ◽  
2018 ◽  
Vol 58 (2) ◽  
pp. 679-689 ◽  
Author(s):  
Suheb Mohammed ◽  
Trevis D. Huggins ◽  
Francis Beecher ◽  
Chris Chick ◽  
Padma Sengodon ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
High Temperatures ◽  
Triticum Aestivum L ◽  
Epicuticular Wax ◽  
Moisture Deficit ◽  
Leaf Epicuticular Wax

scholarly journals A Theoretical and Experimental Study of Electrochemical pH Control at Gold Interdigitated Microband Arrays

2021 ◽  
Author(s):  
Bernardo Patella ◽  
Robert Daly ◽  
Ian Seymour ◽  
Pierre Lovera ◽  
James Rohan ◽  
...  
Keyword(s):  
Electrode Array ◽  
Ph Control ◽  
Reduction Peak ◽  
Solution Ph ◽  
Ph Indicator ◽  
Ph Change ◽  
Initial Ph ◽  
The Impact ◽  
Strong Acids

In electroanalysis, solution pH is a critical parameter that often needs to be adjusted and controlled for the detection of particular analytes. This is most commonly performed by the addition of chemicals, such as strong acids or bases. Electrochemical in-situ pH control offers the possibility for the local adjustment of pH at the point of detection, without additional reagents. FEA simulations have been performed to guide experimental design for both electroanalysis and in-situ control of solution pH. No previous model exists that describes the generation of protons at an interdigitated electrode array in buffered solution with one comb acting as a protonator, and the other as the sensor. In this work, FEA models are developed to provide insight into the optimum conditions necessary for electrochemical pH control. The magnitude of applied galvanostatic current has a direct relation to the flux of protons generated and subsequent change in pH. Increasing the separation between the electrodes increases the time taken for protons to diffuse across the gap. The final pH achieved at both, protonators and sensor electrodes, after 1 second, was shown to be largely uninfluenced by the initial pH of the solution. The impact of buffer concentration was modelled and investigated. In practice, the pH at the electrode surface was probed by means of cyclic voltammetry, i.e., by cycling a gold electrode in solution and identifying the potential of the gold oxide reduction peak. A pH indicator, methyl red, was used to visualise the solution pH change at the electrodes, comparing well with the model’s prediction

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