Changes in protein composition during grain development in wheat

2001 ◽  
Vol 52 (4) ◽  
pp. 485 ◽  
Author(s):  
J. F. Panozzo ◽  
H. A. Eagles ◽  
M. Wootton

Changes in glutenin, gliadin, glutenin subunit composition, and polymer size distribution were monitored for 4 cultivars of wheat (Triticum aestivum L.) throughout grain filling in an irrigated and non-irrigated environment over 2 seasons. The synthesis of glutenin and gliadin was modelled using a logistic function to determine the rate and duration of synthesis in response to environmental conditions. The maximum rate of synthesis of glutenin occurred approximately 6–8 days after the maximum rate of gliadins, with the duration extended by a similar period. High molecular weight glutenin subunits (HMWGS) were detected earlier than low molecular weight glutenin subunits (LMWGS). After the initial synthesis of HMWGS, there was a period at approximately mid grain filling when the rate of synthesis was reduced, followed by a period of more rapid synthesis in the latter stages of grain filling. In contrast, once detected, LMWGS increased at a faster rate than, and were in excess with respect to, HMWGS. Cultivar and environmental differences were observed, but in all cases the average molecular weight of polymeric glutenin increased throughout grain filling. Large polymers (>400 kD) increased continuously during grain filling, whereas polymers in the range 150–400 kD remained relatively constant and smaller polymers <150 kD decreased. As grain filling approached physiological maturity, there was a rapid increase in the synthesis of large polymers. The gliadin to glutenin ratio was almost the same in grain from adjacent irrigated and non-irrigated environments subjected to high temperatures at mid grain f illing, but the proportion of highly polymeric glutenin was greater from the non-irrigated environment.

1999 ◽  
Vol 50 (6) ◽  
pp. 1007 ◽  
Author(s):  
J. F. Panozzo ◽  
H. A. Eagles

In Australia, the period during grain filling for wheat (Triticum aestivum L.) is often associated with increasing ambient temperatures and diminishing soil moisture conditions. This can affect grain size and grain protein concentration. In this study, grain filling and nitrogen accumulation were investigated by sampling every 7 days during grain filling for 4 cultivars: Rosella, Hartog, Halberd, and Eradu. The plants were grown in trials with and without irrigation in 1991 and 1992, which were seasons with divergent temperatures and rainfall during this period. A4-term logistic function, using both days after anthesis (DAA) and growing degree days (GDD), was fitted to data to estimate maximum rate and duration of grain filling. The logistic model proved to be, in most cases, an accurate method to determine the rate and duration of grain filling and nitrogen accumulation. Probably because of differences in availability of soil moisture, the use of GDD did not improve on the estimates obtained from using DAAas the independent variable. In 1991, a relatively dry year, non-irrigated plants showed signs of wilting. In that year, grain nitrogen contents on a per grain basis were similar in both the irrigated and non-irrigated (dryland) environments, but grain weights were much higher from the irrigated environment. The maximum rate and duration of grain filling were lower in the dryland environment. In contrast, whereas the duration of nitrogen accumulation was similarly shorter in the dryland environment, the maximum rate of accumulation was substantially higher. In 1992, a cooler and wetter year, differences between irrigated and non-irrigated environments were smaller, but the trends for rate and duration were similar. We concluded that, under stress conditions, higher rates of accumulation of grain nitrogen and lower rates of accumulation of carbohydrate, rather than differences in duration of accumulation, were primarily responsible for increased grain nitrogen concentrations. In general, cultivars used in this study were ranked similarly for rate and duration of grain filling across environments, with the exception of Hartog, which had a significantly lower maximum rate in the dryland treatment in 1991. This suggests that Hartog may be more sensitive to drier conditions than the other cultivars. In almost all environments, Eradu had a higher maximum rate of accumulation of grain nitrogen than other cultivars; however, the duration was reduced, so that in the mature grain, grain nitrogen concentration was not significantly different.


2014 ◽  
Vol 46 (4) ◽  
pp. 342-352
Author(s):  
Jong-Yeol Lee ◽  
Hye-Rang Beom ◽  
Yeong-Tae Kim ◽  
Sun-Hyung Lim ◽  
Ung-Han Yoon ◽  
...  

2012 ◽  
Vol 48 (No. 1) ◽  
pp. 23-32 ◽  
Author(s):  
I. Bellil ◽  
M. Chekara Bouziani ◽  
D. Khelifi

Saharan wheats have been studied particularly from a botanical viewpoint. Genotypic identification, classification and genetic diversity studies to date were essentially based on the morphology of the spike and grain. For this, the allelic variation at the glutenin loci was studied in a set of Saharan bread and durum wheats from Algerian oases where this crop has been traditionally cultivated. The high molecular weight and low molecular weight glutenin subunit composition of 40 Saharan bread and 30 durum wheats was determined by SDS-PAGE. In Saharan bread wheats 32 alleles at the six glutenin loci were detected, which in combination resulted in 36&nbsp;different patterns including 17 for HMW and 23 for LMW glutenin subunits. For the Saharan durum wheats, 29&nbsp;different alleles were identified for the five glutenin loci studied. Altogether, 29 glutenin patterns were detected, including 13 for HMW-GS and 20 for LMW-GS. Three new alleles were found in Saharan wheats, two in durum wheat at the Glu-B1 and Glu-B3 loci, and one in bread wheat at the Glu-B1 locus. The mean indices of genetic variation at the six loci in bread wheat and at the five loci in durum wheat were 0.59 and 0.63, respectively, showing that Saharan wheats were more diverse. This information could be useful to select Saharan varieties with improved quality and also as a source of genes to develop new lines when breeding for quality.


2004 ◽  
Vol 123 (4) ◽  
pp. 355-360 ◽  
Author(s):  
W. Maruyama-Funatsuki ◽  
K. Takata ◽  
Z. Nishio ◽  
T. Tabiki ◽  
E. Yahata ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
pp. 641-652
Author(s):  
Sławomir Franaszek ◽  
Bolesław Salmanowicz

Abstract The main purpose of this research was the identification and characterization of low-molecular-weight glutenin subunit (LMW-GS) composition in common wheat and the determination of the effect of these proteins on the rheological properties of dough. The use of capillary zone electrophoresis and reverse-phase high-performance liquid chromatography has made it possible to identify four alleles in the Glu-A3 and Glu-D3 loci and seven alleles in the Glu-B3 locus, encoding LMW-GSs in 70 varieties and breeding lines of wheat tested. To determine the technological quality of dough, analyses were performed at the microscale using a TA.XT Plus Texture Analyzer. Wheat varieties containing the Glu-3 loci scheme (Glu-A3b, Glu-A3f at the Glu-A3 locus; Glu-B3a, Glu-B3b, Glu-B3d, Glu-B3h at the Glu-B3 locus; Glu-D3a, Glu-D3c at the Glu-D3 locus) determined the most beneficial quality parameters.


2006 ◽  
Vol 4 (2) ◽  
pp. 134-143 ◽  
Author(s):  
Faris Hailu ◽  
Eva Johansson ◽  
Arnulf Merker ◽  
Getachew Belay ◽  
Harjit-Singh ◽  
...  

A collection of 120 Ethiopian tetraploid wheat accessions was analysed for high-molecular weight (HMW) glutenin subunit, low-molecular weight (LMW) glutenin subunit and omega gliadin composition by SDS–PAGE. For the HMW glutenin subunits, a new allelic variant, 2****, was detected which has not been previously described at the Glu-A1 locus. A high proportion of Glu-A1x banding pattern was observed in durum wheat. For the Glu-B1 locus four different banding patterns were detected. Among those HMW glutenin subunits, 7+8 were the most common, while subunits 14+15 and 6+8 were found to be rare. A high degree of variation was evident for the LMW glutenin subunits and D-zone omega gliadins. The association of the composition of the gluten with quality has been discussed. This wide variation can be used in improving the quality of wheat and to widen its genetic base.


BioResources ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. 4137-4151 ◽  
Author(s):  
Aikfei Ang ◽  
Zaidon Ashaari ◽  
Edi Suhaimi Bakar ◽  
Nor Azowa Ibrahim

An alkali lignin (OL) with a weight-average molecular weight (Mw) of 11646 g/mol was used to prepare low-molecular weight lignin for resin synthesis. The low-molecular weight lignin feedstock was obtained via base-catalysed depolymerisation (BCD) treatments at different combined severity factors. Sequential fractionation of the OL and BCD-treated lignins using organic solvents with different Hildebrand solubility parameters were used to alter the homogeneity of the OL. The yield and properties of OL itself and OL and BCD-treated OL dissolved in propan-1-ol (F1), ethanol (F2), and methanol (F3) were determined. Regardless of the treatment applied, a small amount of OL was dissolved in F1 and F2. The BCD treatment did not increase the yield of F1 but did increase the yields of F2 and F3. Gel permeation chromatography (GPC) showed that the repolymerization reaction occurred in F3 for all BCD-treated OL, so these lignins were not suitable for use as feedstocks for resin production. The GPC, 13Carbon-nuclear magnetic resonance, and Fourier transform infrared spectroscopy analyses confirmed that the F3 in OL exhibited the optimum yield, molecular weight distribution, and chemical structure suitable for use as feedstocks for resin synthesis.


In the present study, the influence of dextransucrase of Weissella cibaria NITCSK4 (DSWc4), sucrose concentration, and reaction temperature on the yield of low molecular weight dextran (LMWD-DexWc4) was investigated using mixed level Taguchi design and back propagation neural network (BPNN). BPNN model with three neurons in a hidden layer generated a low mean squared error (MSE). The determination coefficients (R2 -value) for ANN and Taguchi models were 0.991 and 0.998, respectively. Considering absolute average deviation (AAD) and MSE, Taguchi model is more adequate. Among three factors, the percentage yield of low molecular weight of dextran is invariably dependent on the sucrose concentration. The study suggested that a low sucrose concentration (3% w/v), DSWc4 (0.25 IU/ml) and slightly high temperature (35°C) ultimately favored the production of LMWD-DexWc4 (91.639%). LMW-DexWc4 produced by DSWc4 at optimized conditions was analyzed. The weight average molecular weight of LMW-DexWc4 was calculated using M-H expression, found to be 85775 (≈90 kDa). The relative percentage error between the number and weight average molecular weight was found to be less (4.42%). The polydispersity (PD) index of the LMW-DexWc4 was found to be 0.9576 and the value is close to 1. The PD value depicted that the molecular weight distribution of dextran was narrowly dispersed.


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