Development of an Optimized MALDI-TOF-MS Method for High-Throughput Identification of High-Molecular-Weight Glutenin Subunits in Wheat
Abstract
:1. Introduction
2. Results and Discussion
2.1. Sample Optimization for MALDI-TOF-MS Analysis
2.1.1. Treatment of 4-Vinylpyridine as Alkylating Reagent in Protein Extraction
2.1.2. Solvent Components
2.1.3. Dissolving Volume
2.1.4. Matrix II Components
2.2. Identification of HMW-GS Compositions in Standard Wheat Varieties
2.3. Identification of HMW-GS in 38 Korean Wheat Cultivars by MALDI-TOF-MS
3. Materials and Methods
3.1. Plant Materials
3.2. Glutenin Extraction
3.3. Sample Optimization
3.4. MALDI-TOF-MS
3.5. RP-HPLC
3.6. Wheat DNA Extraction and PCR Analysis
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
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Factors | Parameters |
---|---|
Alkylating reagent | DTT |
DTT, 4-vinylpyridine | |
Solvent components | 0.1% TFA in 30% ACN |
0.1% TFA in 50% ACN | |
SA dissolved in 0.1% TFA in 30% ACN | |
SA dissolved in 0.1% TFA in 50% ACN | |
Dilution volume | 10 μL |
50 μL | |
100 μL | |
Matrix II | SA dissolved in 30% ACN |
SA dissolved in 50% ACN | |
SA dissolved in 0.1% TFA in 30% ACN | |
SA dissolved in 0.1% TFA in 50% ACN |
HMW-GS | MW (Da) 1 | RSD (%) 2 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Glu-A1 | Glu-B1 | Glu-D1 | Reference | Glu-A1 | Glu-B1 | Glu-D1 | Glu-A1 | Glu-B1 | Glu-D1 | |||||
Cultivar Name | x | x + y | x + y | x | x | y | x | y | x | x | y | x | y | |
APEXAL | N | 7 + 9 | 5 + 10 | Branlard et al. [44] | 82,831 | 74,264 | 88,458 | 68,388 | 0.036 | 0.054 | 0.050 | 0.032 | ||
BRIMSTONE | N | 6 + 8* | 2 + 12 | Liu et al. [50] | 86,840 | 75,993 | 87,431 | 69,404 | 0.076 | 0.083 | 0.014 | 0.071 | ||
CAPPELLE-DESPREZ | N | 7 | 2 + 12 | Liu et al. [50] | 83,416 | 87,364 | 69,390 | 0.072 | 0.050 | 0.054 | ||||
CHEYENNE | 2* | 7 + 9 | 5 + 10 | Dupont et al. [46] | 86,556 | 82,824 | 74,295 | 88,450 | 68,400 | 0.036 | 0.076 | 0.059 | 0.078 | 0.073 |
CHINESE SPRING | N | 7 + 8 | 2 + 12 | Liu et al. [50] | 83,488 | 75,886 | 87,493 | 69,410 | 0.013 | 0.025 | 0.020 | 0.009 | ||
CLEMENT | N | 6 + 8* | 2 + 12 | Liu et al. [50] | 86,828 | 75,981 | 87,379 | 69,414 | 0.091 | 0.066 | 0.037 | 0.069 | ||
GLENLEA | 2* | 7oe + 8* | 5 + 10 | Naeem and Sapirstein [21] | 86,591 | 83,402 | 75,878 | 88,477 | 68,353 | 0.025 | 0.068 | 0.050 | 0.031 | 0.034 |
HANNO | 1 | 14 + 15 | 5 + 10 | Gao et al. [20] | 87,986 | 82,786 | 75,526 | 88,459 | 68,346 | 0.030 | 0.039 | 0.035 | 0.068 | 0.021 |
IMBROS | 1 | 14 + 15 | 2 + 12 | Kazman et al. [47] | 87,902 | 82,767 | 75,552 | 87,423 | 69,404 | 0.039 | 0.035 | 0.033 | 0.025 | 0.037 |
INSIGNIA | 1 | 20 + 20 | 5 + 10 | Branlard et al. [44] | 87,982 | 84,014 | 75,859 | 88,446 | 68,383 | 0.015 | 0.078 | 0.057 | 0.063 | 0.068 |
MAGNIF27 | 2* | 13 + 16 | 2 + 12 | Branlard et al. [44] | 86,661 | 83,475 | 77,790 | 87,413 | 69,409 | 0.071 | 0.061 | 0.084 | 0.081 | 0.070 |
NANBU-KOMUGI | 1 | 7 + 8 | 4 + 12 | Liu et al. [50] | 87,893 | 83,437 | 75,876 | 85,873 | 69,393 | 0.060 | 0.022 | 0.030 | 0.062 | 0.043 |
NEEPAWA | 2* | 7 + 9 | 5 + 10 | Liu et al. [50] | 86,608 | 82,881 | 74,274 | 88,506 | 68,388 | 0.068 | 0.028 | 0.044 | 0.055 | 0.072 |
NORIN 61 | 2* | 7 + 8 | 2.2 + 12 | Hua et al. [51] | 86,572 | 82,842 | 75,869 | 100,811 | 69,362 | 0.042 | 0.067 | 0.077 | 0.044 | 0.065 |
OPATA | 2* | 13 + 16 | 2 + 12 | Liu et al. [50] | 86,555 | 83,466 | 77,824 | 87,371 | 69,425 | 0.036 | 0.055 | 0.072 | 0.076 | 0.025 |
ORCA | N | 7 | 2 + 12 | Liu et al. [50] | 82,823 | 87,331 | 69,393 | 0.055 | 0.068 | 0.030 | ||||
OREPI | 1 | 7 | 4 + 12 | Branlard et al. [44] | 87,949 | 83,483 | 86,380 | 69,433 | 0.044 | 0.031 | 0.066 | 0.045 | ||
PETREL | N | 7 | 5 + 10 | Liu et al. [50] | 83,405 | 88,432 | 68,339 | 0.052 | 0.020 | 0.078 | ||||
SOISSONS | 2* | 7 + 8 | 5 + 10 | Liu et al. [50] | 86,601 | 82,803 | 75,865 | 88,457 | 68,337 | 0.048 | 0.069 | 0.059 | 0.032 | 0.074 |
THESEE | N | 6 + 8* | 2 + 12 | Liu et al. [50] | 86,861 | 76,017 | 87,381 | 69,439 | 0.048 | 0.046 | 0.046 | 0.036 | ||
SUKANG | 2* | 13 + 16 | 2 + 12 | Park et al. [49] | 86,623 | 83,448 | 77,794 | 87,370 | 69,422 | 0.092 | 0.058 | 0.044 | 0.053 | 0.088 |
MANITAL | 2* | 17 + 18 | 2 + 12 | Liu et al. [50] | 86,598 | 79,027 | 75,960 | 87,349 | 69,381 | 0.058 | 0.036 | 0.050 | 0.046 | 0.070 |
BAEKJOONG | 2* | 13 + 16 | 2.2 + 12 | Park et al. [49] | 86,571 | 83,480 | 77,791 | 100,809 | 69,444 | 0.079 | 0.057 | 0.052 | 0.063 | 0.056 |
IT166460 | 1 | 7oe + 8* | 2 + 12 | Cho et al. [45] | 87,909 | 83,534 | 75,961 | 87,450 | 69,453 | 0.037 | 0.018 | 0.039 | 0.030 | 0.019 |
Locus | HMW-GS (Accesion Number) | MW of Mature Protein (Da) 1 | MW by MALDI-TOF-MS (Da) 2 | Cultivars | Difference (Da) | Error (%) | |
---|---|---|---|---|---|---|---|
Glu-A1 | x | 1 | 87,679 | 87,565 | Hanno | −114 | −0.13 |
(X61009) | 87,481 | Imbros | −198 | −0.23 | |||
87,561 | Insignia | −118 | −0.13 | ||||
87,472 | Nanbu-Komugi | −207 | −0.24 | ||||
87,528 | Orepi | −151 | −0.17 | ||||
87,488 | IT166460 | −191 | −0.22 | ||||
2* | 86,335 | 86,135 | Cheyenne | −200 | −0.23 | ||
(M22208) | 86,170 | Glenlea | −165 | −0.19 | |||
86,240 | Magnif 27 | −95 | −0.11 | ||||
86,187 | Neepawa | −148 | −0.17 | ||||
86,151 | Norin 61 | −184 | −0.21 | ||||
86,134 | Opata | −201 | −0.23 | ||||
86,180 | Soissons | −155 | −0.18 | ||||
86,202 | Sukang | −133 | −0.15 | ||||
86,177 | Manital | −158 | −0.18 | ||||
86,150 | Baekjoong | −185 | −0.21 | ||||
Glu-B1 | x | 6 | 86,523 | 86,419 | Brimstone | −104 | −0.12 |
(KX454509) | 86,407 | Clement | −116 | −0.13 | |||
86,440 | Thesee | −83 | −0.10 | ||||
7 (group 1) | 82,527 | 82,410 | Apexal | −117 | −0.14 | ||
(X13927) | 82,403 | Cheyenne | −124 | −0.15 | |||
82,460 | Neepawa | −67 | −0.08 | ||||
82,421 | Norin 61 | −106 | −0.13 | ||||
82,402 | Orca | −125 | −0.15 | ||||
82,382 | Soissons | −145 | −0.18 | ||||
7 (group 2) | 82,527 | 82,995 | Cappelle-Desprez | 468 | 0.57 | ||
(X13927) | 83,067 | Chinese Spring | 540 | 0.65 | |||
83,016 | Nanbu-Komugi | 489 | 0.59 | ||||
83,062 | Orepi | 535 | 0.65 | ||||
82,984 | Petrel | 457 | 0.55 | ||||
7OE | 83,122 | 82,981 | Glenlea | −141 | −0.17 | ||
(EU157184) | 83,113 | IT166460 | −9 | −0.01 | |||
13 | 83,209 | 83,054 | Magnif 27 | −155 | −0.19 | ||
(EF540764) | 83,045 | Opata | −164 | −0.20 | |||
83,027 | Sukang | −182 | −0.22 | ||||
83,059 | Baekjoong | −150 | −0.18 | ||||
14 | 82,343 | 82,365 | Hanno | 22 | 0.03 | ||
(KF733216) | 82,346 | Imbros | 3 | 0.00 | |||
17 | 77,960 | 78,606 | Manital | 646 | 0.83 | ||
(AB263219) | |||||||
20 | 83,895 | 83,803 | Insignia | −92 | −0.11 | ||
(AJ437000) | |||||||
y | 8 | 75,159 | 75,150 | Chinese Spring | −9 | −0.01 | |
(AY245797) | 75,140 | Nanbu-Komugi | −19 | −0.03 | |||
75,133 | Norin 61 | −26 | −0.03 | ||||
75,133 | Soissons | −26 | −0.03 | ||||
8* | N/A | 75,257 | Brimstone | ||||
75,245 | Clement | ||||||
75,142 | Glenlea | ||||||
75,281 | Thesee | ||||||
75,225 | IT166460 | ||||||
9 | 73,517 | 73,528 | Apexal | 11 | 0.01 | ||
(X61026) | 73,559 | Cheyenne | 42 | 0.06 | |||
73,538 | Neepawa | 21 | 0.03 | ||||
15 | 74,738 | 74,790 | Hanno | 52 | 0.07 | ||
(KF733215) | 74,816 | Imbros | 78 | 0.10 | |||
16 | 77,283 | 77,054 | Magnif 27 | −229 | −0.30 | ||
(EF540765) | 77,088 | Opata | −195 | −0.25 | |||
77,058 | Sukang | −225 | −0.29 | ||||
77,055 | Baekjoong | −228 | −0.29 | ||||
18 | 75,187 | 75,224 | Manital | 37 | 0.05 | ||
(KF430649) | |||||||
20 (LN828972) | 75,148 | 75,123 | Insignia | −25 | −0.03 | ||
Glu-D1 | x | 2 | 87,007 | 87,010 | Brimstone | 3 | 0.00 |
(X03346) | 86,943 | Cappelle-Desprez | −64 | −0.07 | |||
87,072 | Chinese Spring | 65 | 0.07 | ||||
86,958 | Clement | −49 | −0.06 | ||||
87,002 | Imbros | −5 | −0.01 | ||||
86,992 | Magnif 27 | −15 | −0.02 | ||||
86,950 | Opata | −57 | −0.07 | ||||
86,910 | Orca | −97 | −0.11 | ||||
86,960 | Thesee | −47 | −0.05 | ||||
86,949 | Suknag | −58 | −0.07 | ||||
86,928 | Manital | −79 | −0.09 | ||||
87,029 | IT166460 | 22 | 0.03 | ||||
2.2 | 10,0886 | 10,0390 | Norin 61 | −496 | −0.49 | ||
(AY159367) | 10,0388 | Baekjoong | −498 | −0.49 | |||
4 | N/A | 85,452 | Nanbu-Komugi | ||||
85,959 | Orepi | ||||||
5 | 88,126 | 87,932 | Apexal | −194 | −0.22 | ||
(X12928) | 87,924 | Cheyenne | −202 | −0.23 | |||
87,951 | Glenlea | −175 | −0.20 | ||||
87,933 | Hanno | −193 | −0.22 | ||||
87,920 | Insignia | −206 | −0.23 | ||||
87,980 | Neepawa | −146 | −0.17 | ||||
87,906 | Petrel | −220 | −0.25 | ||||
87,931 | Soissons | −195 | −0.22 | ||||
y | 10 | 67,475 | 67,652 | Apexal | 177 | 0.26 | |
(X12929) | 67,664 | Cheyenne | 189 | 0.28 | |||
67,617 | Glenlea | 142 | 0.21 | ||||
67,610 | Hanno | 135 | 0.20 | ||||
67,647 | Insignia | 172 | 0.25 | ||||
67,652 | Neepawa | 177 | 0.26 | ||||
67,603 | Petrel | 128 | 0.19 | ||||
67,601 | Soissons | 126 | 0.19 | ||||
12 | 68,713 | 68,668 | Brimstone | −45 | −0.07 | ||
(X03041) | 68,654 | Cappelle-Desprez | −59 | −0.09 | |||
68,674 | Chinese Spring | −39 | −0.06 | ||||
68,678 | Clement | −35 | −0.05 | ||||
68,668 | Imbros | −45 | −0.07 | ||||
68,673 | Magnif 27 | −40 | −0.06 | ||||
68,637 | Nanbu-Komugi | −76 | −0.11 | ||||
68,626 | Norin 61 | −87 | −0.13 | ||||
68,689 | Opata | −24 | −0.03 | ||||
68,657 | Orca | −56 | −0.08 | ||||
68,697 | Orepi | −16 | −0.02 | ||||
68,703 | Thesee | −10 | −0.01 | ||||
68,686 | Sukang | −27 | −0.04 | ||||
68,645 | Manital | −68 | −0.10 | ||||
68,708 | Baekjoong | −5 | −0.01 | ||||
68,717 | IT166460 | 4 | 0.01 |
HMW-GS | MW (Da) 1 | RSD(%) 2 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Glu-A1 | Glu-B1 | Glu-D1 | Glu-A1 | Glu-B1 | Glu-D1 | Glu-A1 | Glu-B1 | Glu-D1 | |||||
Specific Name | x | x + y | x + y | x | x | y | x | y | x | x | y | x | y |
Alchan | 2* | 7 + 8 | 5 + 10 | 86,618 | 83,457 | 75,924 | 88,493 | 68,402 | 0.018 | 0.036 | 0.039 | 0.028 | 0.040 |
Anbaek | N | 7 + 9 | 2 + 12 | 82,885 | 74,323 | 87,424 | 69,452 | 0.037 | 0.032 | 0.024 | 0.035 | ||
Baekchal | 2* | 7 + 8* | 5 + 10 | 86,606 | 82,859 | 75,874 | 88,475 | 68,416 | 0.021 | 0.027 | 0.048 | 0.023 | 0.053 |
Baekjoong | 2* | 13 + 16 | 2.2 + 12 | 86,595 | 83,478 | 77,808 | 100,834 | 69,443 | 0.026 | 0.060 | 0.096 | 0.026 | 0.093 |
Chungkye | N | 7 + 8 | 2.2 + 12 | 82,905 | 75,907 | 100,854 | 69,427 | 0.034 | 0.016 | 0.013 | 0.053 | ||
Dabun | 2* | 7 + 8 | 2.2 + 12 | 86,582 | 83,437 | 75,889 | 100,834 | 69,402 | 0.031 | 0.034 | 0.019 | 0.019 | 0.039 |
Dahong | N | 7 + 8 | 2.2 + 12 | 83,444 | 75,907 | 100,821 | 69,415 | 0.033 | 0.031 | 0.017 | 0.080 | ||
Dajoong | 2* | 13 + 16 | 2.2 + 12 | 86,634 | 83,505 | 77,858 | 100,834 | 69,456 | 0.025 | 0.040 | 0.054 | 0.015 | 0.046 |
Eunpa | N | 7 + 9 | 2.2 + 12 | 82,851 | 74,312 | 100,855 | 69,415 | 0.039 | 0.077 | 0.032 | 0.047 | ||
Geuru | N | 7 + 8 | 2.2 + 12 | 83,445 | 75,884 | 100,828 | 69,417 | 0.032 | 0.037 | 0.031 | 0.039 | ||
Gobun | N | 7 + 9 | 2 + 12 | 82,903 | 74,353 | 87,427 | 69,427 | 0.042 | 0.021 | 0.022 | 0.054 | ||
Goso | 2* | 7 + 8 | 2.2 + 12 | 86,601 | 83,429 | 75,922 | 100,838 | 69,467 | 0.017 | 0.035 | 0.045 | 0.033 | 0.025 |
Hanbaek | 2* | 7 + 8 | 5 + 10 | 86,661 | 83,492 | 75,922 | 88,491 | 68,408 | 0.047 | 0.030 | 0.038 | 0.048 | 0.052 |
Hojoong | 2* | 7 + 8 | 2.2 + 12 | 86,631 | 82,886 | 75,926 | 100,830 | 69,445 | 0.054 | 0.046 | 0.011 | 0.015 | 0.045 |
Jeokjoong | 2* | 13 + 16 | 2.2 + 12 | 86,659 | 83,488 | 77,826 | 100,826 | 69,447 | 0.056 | 0.055 | 0.073 | 0.033 | 0.081 |
Jinpoom | N | 7 + 8 | 2.2 + 12 | 82,907 | 75,926 | 100,842 | 69,449 | 0.035 | 0.031 | 0.024 | 0.029 | ||
Joa | 2* | 7 + 8 | 2.2 + 12 | 86,617 | 82,913 | 75,932 | 100,852 | 69,462 | 0.032 | 0.053 | 0.036 | 0.020 | 0.046 |
Joeun | N | 13 + 16 | 2.2 + 12 | 83,505 | 77,876 | 100,835 | 69,447 | 0.032 | 0.045 | 0.028 | 0.043 | ||
Jojoong | N | 13 + 16 | 2.2 + 12 | 83,504 | 77,858 | 100,836 | 69,446 | 0.033 | 0.038 | 0.018 | 0.039 | ||
Jokyung | 1 | 7 + 8 | 5 + 10 | 87,970 | 83,433 | 75,902 | 88,473 | 68,361 | 0.027 | 0.037 | 0.048 | 0.012 | 0.033 |
Jonong | N | 7 + 9 | 2 + 12 | 82,874 | 74,308 | 87,421 | 69,437 | 0.050 | 0.035 | 0.028 | 0.017 | ||
Joonmo2008 | N | 17 + 18 | 5 + 10 | 79,062 | 75,969 | 88,480 | 68,374 | 0.030 | 0.047 | 0.035 | 0.039 | ||
Joongmo2012 | 2* | 7 + 8 | 5 + 10 | 86,632 | 83,442 | 75,896 | 88,484 | 68,411 | 0.044 | 0.041 | 0.046 | 0.022 | 0.050 |
Jopoom | N | 13 + 16 | 2.2 + 12 | 83,490 | 77,858 | 100,865 | 69,440 | 0.044 | 0.064 | 0.024 | 0.038 | ||
Keumkang | 2* | 7 + 8 | 5 + 10 | 86,580 | 83,448 | 75,907 | 88,500 | 68,395 | 0.033 | 0.052 | 0.046 | 0.030 | 0.064 |
Milsung | N | 7 + 8 | 2.2 + 12 | 83,448 | 75,911 | 100,857 | 69,455 | 0.025 | 0.051 | 0.035 | 0.031 | ||
Namhae | N | 7 + 8 | 2.2 + 12 | 82,909 | 75,911 | 100,848 | 69,463 | 0.028 | 0.040 | 0.016 | 0.029 | ||
Ol | N | 7 + 8 | 2.2 + 12 | 82,868 | 75,883 | 100,846 | 69,426 | 0.028 | 0.021 | 0.037 | 0.037 | ||
Olgeuru | 2* | 7 + 8 | 2.2 + 12 | 86,672 | 83,461 | 75,927 | 100,848 | 69,458 | 0.031 | 0.031 | 0.060 | 0.022 | 0.040 |
Saeol | N | 7 + 8 | 2.2 + 12 | 83,434 | 75,924 | 100,846 | 69,441 | 0.042 | 0.069 | 0.029 | 0.043 | ||
Seodun | N | 7 + 8 | 2.2 + 12 | 82,898 | 75,936 | 100,851 | 69,451 | 0.056 | 0.018 | 0.023 | 0.045 | ||
Sinmichal | 2* | 7 + 8* | 2.2 + 12 | 86,640 | 82,877 | 75,908 | 100,852 | 69,425 | 0.054 | 0.028 | 0.034 | 0.017 | 0.038 |
Sinmichal1 | N | 7 + 9 | 2 + 12 | 82,863 | 74,328 | 87,389 | 69,424 | 0.042 | 0.031 | 0.042 | 0.053 | ||
Suan | 2* | 7 + 8 | 2.2 + 12 | 86,616 | 82,858 | 75,918 | 100,853 | 69,418 | 0.017 | 0.028 | 0.034 | 0.017 | 0.020 |
Sukang | 2* | 13 + 16 | 2 + 12 | 86,660 | 83,522 | 77,831 | 87,410 | 69,420 | 0.020 | 0.033 | 0.033 | 0.034 | 0.015 |
Tapdong | 2* | 7 + 8 | 5 + 10 | 86,628 | 82,884 | 75,942 | 88,503 | 68,384 | 0.022 | 0.019 | 0.036 | 0.032 | 0.038 |
Uri | N | 7 + 8 | 2.2 + 12 | 83,461 | 75,923 | 100,819 | 69,438 | 0.035 | 0.036 | 0.025 | 0.053 | ||
Younbaek | 2* | 13 + 16 | 2.2 + 12 | 86,644 | 83,476 | 77,861 | 100,838 | 69,433 | 0.024 | 0.026 | 0.046 | 0.023 | 0.055 |
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Jang, Y.-R.; Cho, K.; Kim, S.W.; Altenbach, S.B.; Lim, S.-H.; Sim, J.-R.; Lee, J.-Y. Development of an Optimized MALDI-TOF-MS Method for High-Throughput Identification of High-Molecular-Weight Glutenin Subunits in Wheat. Molecules 2020, 25, 4347. https://doi.org/10.3390/molecules25184347
Jang Y-R, Cho K, Kim SW, Altenbach SB, Lim S-H, Sim J-R, Lee J-Y. Development of an Optimized MALDI-TOF-MS Method for High-Throughput Identification of High-Molecular-Weight Glutenin Subunits in Wheat. Molecules. 2020; 25(18):4347. https://doi.org/10.3390/molecules25184347
Chicago/Turabian StyleJang, You-Ran, Kyoungwon Cho, Se Won Kim, Susan B. Altenbach, Sun-Hyung Lim, Jae-Ryeong Sim, and Jong-Yeol Lee. 2020. "Development of an Optimized MALDI-TOF-MS Method for High-Throughput Identification of High-Molecular-Weight Glutenin Subunits in Wheat" Molecules 25, no. 18: 4347. https://doi.org/10.3390/molecules25184347
APA StyleJang, Y. -R., Cho, K., Kim, S. W., Altenbach, S. B., Lim, S. -H., Sim, J. -R., & Lee, J. -Y. (2020). Development of an Optimized MALDI-TOF-MS Method for High-Throughput Identification of High-Molecular-Weight Glutenin Subunits in Wheat. Molecules, 25(18), 4347. https://doi.org/10.3390/molecules25184347