西北春麦区小麦地方品种高分子量麦谷蛋白亚基组成分析

为了给品质改良提供基础材料,并了解西北春麦区小麦地方品种的遗传多样性,采用十二烷基硫酸钠-聚丙烯酰胺凝胶电泳(SDS-PAGE)方法,分析了493份小麦地方品种的高分子量麦谷蛋白亚基(HMW-GS)的组成.结果表明:在供试材料中,Glu-1位点共有26个等位基因,其中Glu-A1位点3个,Glu-B1位点9个,Glu-D1位点14个,亚基null、7+8、2+12在各自的位点上出现频率最高,分别达到了94.53%、92.92%、86.24%;亚基组成类型共有30种,主要为null/7+8/2+12,频率达79.76%;同时筛选出一些含有1、2*、13+16、14+15、5+10、1.5+10等优质亚基或亚基对的材料,可作为优质基因源;西北春麦区小麦地方品种间Glu-1位点的遗传多样性,以Glu-D1位点最高,其次是Glu-B1位点,Glu-A1位点最低.     

新疆冬春麦区小麦地方品种贮藏蛋白遗传多样性研究

采用SDS-聚丙烯酰胺凝胶电泳（SDS-PAGE）对236份新疆小麦地方品种的高分子量麦谷蛋白亚基(HMW-GS)的组成进行了分析。结果表明：Glu-1位点共有19种等位基因,其中Glu-A1位点3种,Glu-B1位点7种,Glu-D1位点9种;亚基null、7+8、2+12在各自的位点上出现频率最高,分别达到91.95％、85.17％、80.93％;亚基组成类型共有21种,主要为null/7+8/2+12,频率达70.34％;同时筛选出33份含有1、2*、13+16、14+15、5+10、1.5+10、17+18等优质亚基的材料,可作为优质基因源。利用酸性聚丙烯酰胺凝胶电泳（A-PAGE）对其中的65份地方品种进行醇溶蛋白多样性分析。结果表明：电泳出现64条迁移率不同的谱带,构成65种组合,其中ω区出现的谱带最多,达17条,其次是β和γ区各16条,α区出现的谱带数最少,为15条。从每条谱带在65份材料中出现的频率看,总的变异范围为1.54%~93.85%;α、β、γ和ω四个分区多样性指数（H′）分别为0.498、0.386、0.523和0.348。这表明新疆麦区小麦地方品种贮藏蛋白位点存在丰富的遗传多样性。     

67份美国小麦种质资源的HMW-GS组成与品质分析

为了挖掘新的种质资源,对引自美国的67份小麦种质材料进行了高分子量麦谷蛋白亚基组成与品质性状分析。HMW-GS组成分析表明,在供试材料中共检测到20种亚基类型和25种亚基组合,表明这批材料的遗传多样性较高。在GluA1位点上,亚基1与2*的出现频率分别为16.4%与35.8%;Glu-B1位点有9个等位变异,其中出现频率最高的为7+9亚基对(47.8%);Glu-D1位点有8个等位变异,以5+10亚基对为主要类型,出现频率高达74.6%。在Glu-B1位点上发现3个不常见亚基7*、8*、8**和3个未知亚基a、b、c,还发现1个未知亚基,暂时将其标记为5*,可能位于Glu-D1位点上。亚基组合类型中,"null,7+8,5+10"的出现频率最高,为22.4%。亚基评分在5~10分之间,平均8.2分,得分在8分及其以上的材料有42份(62.69%),其中得10分的材料有9份(13.43%)。利用DA7200近红外成分分析仪对这批小麦材料的品质性状进行初步分析,结果表明其品质指标较低。这67份美国小麦材料含有的优质亚基比例较高,可作为中间材料以改良我国黄淮麦区小麦品种的亚基组成。     

新疆冬春麦区小麦地方品种贮藏蛋白遗传多样性研究

采用SDS-聚丙烯酰胺凝胶电泳（SDS-PAGE）对236份新疆小麦地方品种的高分子量麦谷蛋白亚基（HMW-GS）的组成进行了分析。结果表明：Glu-Ⅰ位点共有19种等位基因,其中Glu-Al位点3种,Glu-Bl位点7种,Glu—D1住点9种;亚基null、7＋8、2＋12在各自的位点上出现频率最高,分别达到91．95％、85．17％、80．93％;亚基组成类型共有21种,主要为null／7＋8／2＋12,频率达70．34％;同时筛选出33份含有1、2^＊、13＋16、14＋15、5＋10、1．5＋10、174-18等优质亚基的材料,可作为优质基因源。利用酸性聚丙烯酰胺凝胶电泳（A-PAGE）对其中的65份地方品种进行醇溶蛋白多样性分析。结果表明：电泳出现64条迁移率不同的谱带,构成65种组合,其中ω区出现的谱带最多,达17条;其次是β和γ区各16条,α区出现的谱带数最少,为15条。从每条谱带在65份材料中出现的频率看,总的变异范围为1．54％～93．85％;α、β、γ和ω4个分区多样性指数（H1）分别为0．498、0．386、0．523和0．348,表明新疆麦区小麦地方品种贮藏蛋白位点存在丰富的遗传多样性。     

不同硬度类型小麦高分子量谷蛋白亚基组成及遗传多样性分析

为了在小麦品质育种中充分利用品种资源,以引进的57份小麦品种(系)为试验材料,采用SDS-PAGE和单籽粒硬度仪(SKCS)分析了这些品种(系)的高分子量谷蛋白亚基(HMW-G S)组成及其籽粒硬度.共检测到13种亚基和21种亚基组合,30份材料具有5 10亚基,10份2*,9份17 18,1份13 16.5 10和2*在硬质麦中出现的频率较混合麦高,在软质麦中的频率最低,17 18在混合麦中的频率较高.HMW-G S组合中,N u ll、7 9、2 12和1、7 8、2 12的频率较高,分别为17.5%和14.0%,个别品种还同时聚合有1A、1B、1D上的优质亚基.参试品种(系)含硬质麦32份(1级20份、2级12份),混合麦15份(2级3份,3级12份),软质麦10份(4级6份,5级4份),籽粒硬度的分布范围为12~74.春小麦和冬小麦材料N e i s平均遗传变异系数分别为0.550 8和0.573 3,表明春小麦的高分子量谷蛋白位点的遗传变异略低于冬小麦;春小麦和冬小麦A、B和D基因组的N e i s平均遗传变异系数分别为0.497 5、0.648 7和0.540 3,说明G lu-B 1位点的遗传多样性最高,其次是G lu-D 1位点,G lu-A 1位点最低.     

云南铁壳麦高分子量麦谷蛋白亚基组成及其遗传多样性分析

以36份云南铁壳麦为试验材料,采用SDS-PAGE法分析了Glu-1位点编码的高分子量麦谷蛋白亚基(HMW-GS)及组成。结果表明,在Glu-A1位点上检测到3种(N,2*和1)亚基类型,Glu-B1位点上共检测到5种(7、7 8、17 18、13 16和6 8)亚基类型,Glu-D1位点上只检测到1种(2 12)亚基类型。共检测到6种亚基组成类型,即:N、7、2 12,N、7 8、2 12,2*、7 8、2 12,2*、17 18、2 12,1、6 8、2 12和1、13 16、2 12。云南铁壳麦的HMW-GS为普通小麦已知变异类型的18%,3个位点的Nei's遗传变异系数顺序为Glu-B1(0.5734)>Glu-A1(0.2484)>Glu-D1(0),表明云南铁壳麦属较原始类型,Glu-D1位点未发生变异。品质评分最高分为8分(3份材料),平均为5.2分。同时86%的云南铁壳麦具有适合制作优质手工馒头的高分子量麦谷蛋白亚基(N和2 12),42%的云南铁壳麦具有亚基组成类型(1、7 8、2 12和N、7 8、2 12),这些材料可作为云南小麦馒头品质改良的材料。     

陕南鄂西丘陵麦区小麦HMW-GS组成和LMW-GS等位基因变异

采用SDS-PAGE凝胶电泳和STS标记方法分别对陕南鄂西丘陵麦区小麦品种(系)中的高分子量谷蛋白亚基(HMW-GS)组成和低分子量谷蛋白亚基(LMW-GS)Glu-A3与Glu-B3位点的等位基因进行了检测,并通过STS特异性标记对SDS-PAGE凝胶电泳检测的HMW-GS部分结果进行了验证。结果表明:(1)陕南麦区64份小麦材料中共检测到9种HMW-GS类型,其中Glu-A1位点含有Null、1共2种等位变异,频率分别为53.12%和46.88%;Glu-B1位点有7+8、7+9、14+15和17+18共4个等位变异,频率分别为26.56%、48.44%、21.88%和3.13%;Glu-D1位点有2+12、5+10和4+12共3种等位变异,频率为71.88%、15.63%和12.49%;而且17种不同亚基组合中以"1,7+9,2+12"与"Null,7+9,2+12"为主。(2)64份小麦材料中检测到11种LMW-GS类型,其中Glu-A3位点存在Glu-A3a、Glu-A3c和Glu-A3d共3种等位变异,分布频率为10.94%、62.50%和26.56%;GluB3位点有Glu-B3a、Glu-B3b、Glu-B3d、Glu-B3e、Glu-B3f、Glu-B3g、Glu-B3i和Glu-B3j共8种等位变异,分布频率分别为6.25%、4.69%、29.69%、1.56%、3.13%、18.75%、4.69%、31.25%。(3)2个特异性STS标记对SDSPAGE凝胶电泳检测到的HMW-GS部分组成结果验证表明,STS标记可以有效克服SDS-PAGE方法检测小麦HMW-GS中的7与7*、8与8*以及2与2*亚基的误读问题,为小麦品质育种与食品加工提供理论支持。     

湖北推广小麦品种(系)高分子量麦谷蛋白亚基组成分析

应用SDS-PAGE技术分析了45份湖北推广小麦品种(系)籽粒的高分子量麦谷蛋白亚基组成。40份材料的高分子量麦谷蛋白亚基组成为同质,5份为异质。在Glu-1位点共检测到9种等位基因变异类型,其中Glu-A1位点有“1、2^ 、Null”3种变异类型,Glu-B1位点有“7、7 8、7 9、14 15”4种,Glu-D1位点有“2 12、5 10”2种。“Null、7 8、2 12”是主要亚基,它们的频率分别是62．5％、60％和72．5％。亚基组合类型有12种,其中(Null,7 8,2 12)亚基组合占30．0％,(1,7 8,2 12)、(1,14 15,2 12)、(Null,7 9,2 12)、(Null,7 8,5 10)4种组合的频率都在10％以上,这5种亚基组合占总组合的72．5％。供试小麦材料品质评分在5～10之间,平均评分为7．0。含5 10亚基的品种(系)所占比例低,是湖北小麦烘烤品质较差的部分原因。     

西藏半野生小麦高分子量麦谷蛋白亚基组成分析

应用SDS-PAGE分析了50份西藏半野生小麦(Triticum aestivum ssp.tibetanum Shao)的高分子量麦谷蛋白亚基等位基因组成。结果表明,43份材料的HMW-GS组成是同质的,7份材料为异质。供试材料共有7种HMW GS组合,以Null、7 8、2 12为主要类型,占所分析材料的68．4％。在Glu-1位点共检测到10种等位基因,Glu- A1位点2种,Glu～B1位点4种,Glu～D1位点4种。Null(96％)、7 8(80．4％)和2 12(94．9％)分别是Glu-A1、 Glu-B1和Glu～D1位点上主要的等位基因。在Glu-B1位点还新发现2个亚基,暂时分别命名为8*和7**。说明西藏半野生小麦中存在着较广泛的HMW-GS等位基因变异,是小麦品质育种潜在的可利用的遗传资源。     

47份外引小麦种质资源Waxy和HMW-GS分子检测与品质性状分析

为有效利用外引小麦种质资源,本研究对收集的47份外引小麦种质材料进行Waxy和HMW-GS等位基因的分子检测,并分析了其直链淀粉、支链淀粉、湿面筋等品质参数。结果表明,在Wx-A1位点存在3种类型:Wx-A1a、Wx-A1g和WxA1b,39份材料(82.98%)为Wx-A1a类型;Wx-B1位点3种类型:Wx-B1a、Wx-B1e和Wx-B1b,37份材料(78.72%)为Wx-B1a类型;Wx-D1位点2种类型:Wx-D1a和Wx-D1b,46份材料具有Wx-D1a类型;共鉴定出8种Wx-1位点等位基因组合,31份材料(65.96%)为Wx-A1a/B1a/D1a。在Glu-A1位点,含有等位基因Ax2^*、Null和Ax1类型的材料分别为18份、18份和11份;在Glu-D1位点,含有等位基因Dx2和Dx5类型的材料分别为23份(48.94%)和21份(44.68%),含有等位基因Dy12和Dy10类型的材料分别为22份(46.81%)和20份(42.55%),具有Dy10+Dy12类型材料2份;共鉴定出19种Glu-A1/D1等位基因组合,7份材料含有Null/Dx5+Dy12。含有Wx-A1a/B1a/D1a材料的直链淀粉含量相对较高,支链淀粉含量相对较低;含有优质等位基因Ax1或Ax2^*兼Dx5+Dy10材料的湿面筋含量相对较高。总体上这些外引种质资源Waxy和HMW-GS等位基因类型丰富,可为种质资源合理利用和现代普通小麦品质改良提供参考依据。     

High Molecular Weight Glutenin Subunit Composition of Indian Wheats and Their Relationships with Dough Strength

One hundred and seventy two wheat varieties including twenty-five durum wheat cultivars were evaluated for high molecular weight glutenin subunit (HMW-GS) composition using SDS-PAGE. The relationship between HMW-GS and sedimentation tests for dough strength was studied. Three alleles were present at the Glu-A1 locus, eight at Glu-B1 and two at Glu-D1 in bread wheat. The data indicated the prevalence of the Glu-A1b allele (63.5%) at the Glu-A1 and Glu-D1a (71.4%) at Glu-D1 loci. Three alleles, namely Glu-B1b (30.61%), Glu-B1c (25.85%) and Glu-B1i (34.00%) represented about 90% of the alleles at Glu-B1 locus. The combination of Glu-A1b, Glu-B1i and Glu-D1d alleles exhibited highest dough strength as measured by sedimentation value in comparison to other combinations (p<0.001). However, this combination was present only in 7% of the samples evaluated. In durum wheat, the null allele (Glu-A1c) was observed more frequently (76%) than the Glu-A1b allele (24%). Glu-B1f and Glu-B1e alleles represented equally (32% each). Protein subunits 13+16 and 6+8 were found correlated positively (p<0.05) with improved dough strength as compared to subunit 20 in durum wheat. This information can be a valuable reference for designing breeding programme for the improvement of bread and pasta making quality of bread and durum wheats, respectively in India.     

Allelic variation of high molecular weight glutenin subunits of bread wheat in Hebei province of China

In common wheat (Triticum aestivum L.), allelic variations of Glu-1 loci have important influences on grain end-use quality. The allelic variations in high molecular weight glutenin subunits (HMW-GSs) were identified in 151 hexaploid wheat varieties representing a historical trend in the cultivars introduced or released in Hebei province of China from the years 1970s to 2010s. Thirteen distinct alleles were detected for Glu-1. At Glu-A1, Glu-B1 and Glu-D1, we found that the most frequent alleles were the 1 (43.0%), 7+8 (64.9%), 2+12 (74.8%) alleles, respectively, in wheat varieties. Twenty two different HMW-GS compositions were observed in wheat. Twenty-five (16.6%) genotypes possessed the combination of subunits 1, 7+8, 2+12, 25 (16.6%) genotypes had subunit composition of 2*, 7+8, 2+12; 20 (13.2%) genotypes had subunit composition of null, 7+8, 2+12. The frequency of other subunit composition was less than 10%. The Glu-1 quality score greater than or equal to 9 accounted for 20.6% of the wheat varieties. The percentage of superior subunits (1 or 2* subunit at Glu-A1 locus; 7+8, 14+15 or 17+18 at Glu-B1 locus; 5+10 or 5+12 at Glu-D1 locus) was an upward trend over the last 40 years. The more different superior alleles correlated with good bread-making quality should be introduced for their usage in wheat improvement efforts.     

Analysis of diversity of Russian and Ukrainian bread wheat (Triticum aestivum L.) cultivars for high-molecular-weight glutenin subunits

The allelic diversity of high-moleculat-weght glutenin subunits (H WIGS) in Russian and Ukrainian bread wheat cultivars was analyzed. The diversity of spring wheat cultivars for alleles of the Glu-1 loci is characterized by medium values of the polymorphism index (polymorphism information content, PlC), and in winter wheats it varies from high at the Glu-A1 locus to low at the Glu-D1 locus. The spring and winter cultivars differ significantly in the frequencies of alleles of the glutenin loci. The combination of the Glu-A1b, Glu-B1c, and Glu-D1a alleles prevails among the spring cultivars, and the combination of the Glu-A1a, Glu-B1c, and Glu-D1d alleles prevails among the winter cultivars. The distribution of the Glu-1 alleles significantly depends on the moisture and heat supply in the region of origin of the cultivars. Drought resistance is associated with the Glu-D1a allele in the spring wheat and with the Glu-B1b allele in the winter wheat. The sources of the Glu-1 alleles were identified in the spring and wheat cultivars. The analysis of independence of the distribution of the spring and winter cultivars by the market classes and by the alleles of the HMWGS loci showed a highly significant association of the alleles of three Glu-1 loci with the market classes in foreign cultivars and independence or a weak association in the Russian and Ukrainian cultivars. This seems to be due to the absence of a statistically substantiated system of classification of the domestic cultivars on the basis of their quality.     

Allelic variation of high-molecular-weight glutenin genes in bread wheat

The composition and quantity of high-molecular-weight glutenin subunits plays an important role in determining the bread-making quality of wheat. Molecular-genetic analysis of allelic composition of high-molecular-weight glutenin genes in 102 bread wheat cultivars and lines from different geographical regions was conducted. Three alleles at the Glu-A1 locus, nine alleles at the Glu-B1 locus, and two alleles at the Glu-D1 locus were identified. Among the investigated cultivars and lines, 21 were characterized by intracultivar polymorphism. High allelic variation of high-molecular-weight glutenin subunit genes was shown for the collection: 21 and 9 combinations were defined in monomorphic and polymorphic cultivars and lines, respectively. However, the major part of the collection (66.7%) contained four allelic combinations: Glu-A1b Glu-B1c Glu-D1d, Glu-A1b Glu-B1c Glu-D1-2a, Glu-A1a Glu-B1c Glu-D1d, and Glu-A1b Glu-B1c Glu-D1d/Glu-D1-2a. Fourteen cultivars of bread wheat were selected, and they were characterized by a favorable allelic composition of Glu-1 loci.     

小麦新品种(系)Glu-1位点等位基因变异研究

应用SDS-PAGE技术分析了40份小麦新品种(系)的高分子量麦谷蛋白亚基等位基因变异。在Glu-1位点共检测到10种变异类型,其中Glu-Al位点有3种类型：Null、1、26 ,Glu-B1位点有5种类型：7 8、7 9、14 15、7、17 18,Glu-D1位点有2种类型：2 12、5 10;Null(54．3％)、7 8(51．4％)和2 12(62．9％)分别是Glu-Al、Glu-B1和Glu-D1位点上的主要亚基变异类型。另外,在2份材料的Glu-B1和Glu-D1位点各检测到1个新的亚基,分别命名为1By8．1和1Dx5^ 。Glu-1位点的Nei‘s遗传变异指数平均为0,5648,Glu-B1的遗传多样性最高,Glu-D1最低。供试小麦材料Glu-1位点的HMW-GS组合共有17种类型,以(Null,7 8,2 12)组合为主要类型,占31．4％;有9种亚基组合类型分别只在1份材料中出现,占26.1％。结果表明,这些小麦新品种(系)存在着丰富的亚基组合类型。     

Analysis of diversity of russian and Ukrainian bread wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.) cultivars for high-molecular-weight glutenin subunits

The allelic diversity of high-moleculat-weght glutenin subunits (HMWGS) in Russian and Ukrainian bread wheat cultivars was analyzed. The diversity of spring wheat cultivars for alleles of the Glu-1 loci is characterized by medium values of the polymorphism polymorphism information content (PIC), and in winter wheats it varies from high at the Glu-A1 locus to low at the Glu-D1 locus. The spring and winter cultivars differ significantly in the frequencies of alleles of the glutenin loci. The combination of the Glu-A1b, Glu-B1c, and Glu-D1a alleles prevails among the spring cultivars, and the combination of the Glu-A1a, Glu-B1c, and Glu-D1d alleles prevails among the winter cultivars. The distribution of the Glu-1 alleles significantly depends on the moisture and heat supply in the region of origin of the cultivars. Drought resistance is associated with the Glu-D1a allele in the spring wheat and with the Glu-B1b allele in the winter wheat. The sources of the Glu-1 alleles were identified in the spring and wheat cultivars. The analysis of independence of the distribution of the spring and winter cultivars by the market classes and by the alleles of the HMWGS loci showed a highly significant association of the alleles of three Glu-1 loci with the market classes in foreign cultivars and independence or a weak association in the Russian and Ukrainian cultivars. This seems to be due to the absence of a statistically substantiated system of classification of the domestic cultivars on the basis of their quality.     

Allelic variations in <Emphasis Type="Italic">Glu-1</Emphasis> and <Emphasis Type="Italic">Glu-3</Emphasis> loci of historical and modern Iranian bread wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.) cultivars

Proline and glutamine-rich wheat seed endosperm proteins are collectively referred to as prolamins. They are comprised of HMW-GSs, LMW-GSs and gliadins. HMW-GSs are major determinants of gluten elasticity and LMW-GSs considerably affect dough extensibility and maximum dough resistance. The inheritance of glutenin subunits follows Mendelian genetics with multiple alleles in each locus. Identification of the banding patterns of glutenin subunits could be used as an estimate for screening high quality wheat germplasm. Here, by means of a two-step 1D-SDS-PAGE procedure, we identified the allelic variations in high and low-molecular-weight glutenin subunits in 65 hexaploid wheat (Triticum aestivum L.) cultivars representing a historical trend in the cultivars introduced or released in Iran from the years 1940 to 1990. Distinct alleles 17 and 19 were detected for Glu-1 and Glu-3 loci, respectively. The allelic frequencies at the Glu-1 loci demonstrated unimodal distributions. At Glu-A1, Glu-B1 and Glu-D1, we found that the most frequent alleles were the null, 7 + 8, 2 + 12 alleles, respectively, in Iranian wheat cultivars. In contrast, Glu-3 loci showed bimodal or trimodal distributions. At Glu-A3, themost frequent alleles were c and e. At Glu-B3 the most frequent alleles were a, b and c. At Glu-D3 locus, the alleles b and a, were the most and the second most frequent alleles in Iranian wheat cultivars. This led to a significantly higher Nei coefficient of genetic variations in Glu-3 loci (0.756) as compared to Glu-1 loci (0.547). At Glu-3 loci, we observed relatively high quality alleles in Glu-A3 and Glu-D3 loci and low quality alleles at Glu-B3 locus.     

Gene-assisted selection for high molecular weight glutenin subunits in wheat doubled haploid breeding programs

Molecular markers based on DNA sequence variations of the coding and/or promoter regions of the wheat (Triticum aestivum L.) HMW glutenin genes located at the Glu-1 loci were developed. Markers characteristic of alleles Glu-A1-1a (encoding Ax1 subunit) and Glu-A1-1c (encoding Ax2* subunit) at the Glu-A1 locus, alleles Glu-B1ak (encoding Bx7* subunit) and Glu-B1al for overexpressed Bx7 subunit at the Glu-B1 locus and alleles Glu-D1-1a (encoding Dx2 subunit) and Glu-D1-1d (encoding Dx5 subunit) at the Glu-D1 locus were tested using genomic DNA of haploid leaf tissue. A method for simultaneously extracting DNA from 96 haploid leaf tissue pieces is described. Two of the developed markers were dominant and two were co-dominant. A F₁-derived population segregating for all HMW glutenin genes was used to test the validity of the markers and their usefulness in doubled haploid breeding programs. SDS-PAGE analysis of seed storage protein was performed on seeds from the doubled haploid lines. A total of 299 lines were tested with the DNA markers on the haploid tissue and validated by protein analysis of the corresponding DH seeds. PCR markers and SDS-PAGE analysis showed between 2 and 8.5% discrepancies depending on the marker. Applications of DNA markers for gene-assisted-selection of haploid tissue and use in breeding programs are discussed. Advantages and disadvantages of dominant and co-dominant markers are outlined.