小麦抗赤霉病研究现状与展望

小麦是我国最重要的口粮作物之一。在小麦生产所面临的各种病害中,赤霉病的发生具有愈来愈严重的趋势,引起小麦产业界的高度关注。近几十年来,科研人员在小麦抗赤霉病遗传育种以及防控技术领域进行了持续不懈的努力,在赤霉病病原菌致病基因、小麦赤霉病抗性基因定位、克隆及功能研究以及抗赤霉病分子育种等方面取得了重大进展。本文主要从赤霉病抗性基因资源的发掘和鉴定、不同抗源遗传基础解析、小麦赤霉病抗性基因、抗赤霉病分子标记辅助选择育种与基因聚合以及小麦抗赤霉病基因的克隆和功能研究等方面进行了综述,分析了目前小麦抗赤霉病研究中存在的问题,并提出应加强基因克隆、功能分子标记开发以及应用单体型辅助选择(HAS)和标记组辅助选择(MSAS)等小麦抗赤霉病研究的相关建议。     

小麦株高性状的QTL分析

自20世纪60年代农林10号矮秆基因被用于小麦育种以来,矮化育种成为世界范围内势不可挡的趋势,矮秆基因研究被越来越多的育种专家重视,先后鉴定出20余个矮秆基因,并应用其中6,7个基因,培育了大批丰产潜力大的半矮秆品种,应用矮秆冬小麦吕系DN3338（♀）和F390（♂）杂交得到的F2：3群体,研究小麦株高的遗传基础,以控制株高的数量性状基因座进行定位,利用240个F2：3家系,构建了含215个微卫星标记,覆盖3600cM,由21个连锁群组成的遗传 连锁图谱,并对该群体进行了4个环境（2年：2000年和2001年,2点：北京和石家庄）3重复的田间种植;采用区间作图法,对该群体的株高性状进行了QTL分析。结果表明：7个影响株高的QTL分别位于染色体1B,4B(2个）,6A（2个）,6D和7A上,每个QTL能解释5．2％－50．1％的表型变异,每个环境条件下检测出的所有QTL能解释64．8％－75％,的表型变异,除了7A上的QTL外,其他6个降低株高的QTL均来自ND3338,其效应介于0．94cm-9.33cm之间,且其中的4个在所有的环境下都能被检测出来,具有较高的稳定性,在4BS的Xgwm113标记附近有一主效QTL,其在不同的环境下能降低株高7．91cm-9.33cm,解释27．8％－36．2％,的表型变异,有着同农林10号中Rht-Blb相近的效应;同时在4BS上还发现一个和地点互作的QTL,该QTL在石家庄的两年试验中均被检测到,且有较大的效应值（80cm和7.6cm),因此,认为大部分的QTL能在所有的环境中检测到,这些QTO可以被用于品种改良和分子标记辅助选择育种。     

小麦品种冀麦24抗麦红吸浆虫QTL分析

麦红吸浆虫是影响小麦产量和品质的重要害虫,研究小麦对吸浆虫抗性的遗传及其连锁分子标记对于提高抗虫品种的选择效率具有重要意义。本研究以小麦感虫品系6218与抗虫品种冀麦24产生的重组近交系(RIL)群体为材料,利用SSR标记和人工虫圃对冀麦24的抗虫性遗传进行了研究。结果表明:6218与冀麦24的抗性差异显著,RIL群体在2年2点的鉴定中抗性稳定;所构建的遗传连锁图谱包含112个SSR位点,形成26个连锁群,图谱全长835.7 cM,标记间平均距离为7.5 cM。利用QTL IciMapping的完备区间作图法,在4A染色体上检测到1个加性效应位点(QSm.hbau-4A),该位点在2个鉴定年度的贡献率分别为9.67%、10.57%。该抗性QTL及其连锁SSR标记的发掘,将有助于提高小麦抗吸浆虫育种的选择效率。     

基于MAS的小麦抗赤霉病育种材料抗性评价

为了提高黄淮海麦区小麦育种材料的赤霉病抗性,采用分子标记辅助选择的方法,将来自望水白的4个抗赤霉病主效QTL 3B-QTL、4B-QTL、5A-QTL和6B-QTL导入不同的感病背景中,在后代BC1F3和BC1F4株系中评价它们的抗病效应和农艺性状回复情况。结果表明:(1)导入4个抗病QTL株系的平均病小穗率和病粒率分别为12.2%和6.3%,而受体亲本则分别达到59.1%和44.2%,抗病性显著提高;(2)病小穗数和病粒率与穗长及株高极显著负相关,但与可育小穗数、百粒重、旗叶长和旗叶宽等农艺性状指标没有显著相关性。因此,通过导入抗病主效QTL可以显著改善感病材料的抗性,为进一步选育高产抗病品种提供基础材料。不良农艺性状的紧密连锁阻碍着抗赤霉病主效QTL的高效利用,需要通过继续回交或与其他品种杂交来打破这种遗传连锁关系。     

GW3-1和IND109标记对普通小麦粒重的QTL定位分析

应用一个由115个系组成的W7984/Opata85的重组自交系（RIL）群体,建立了一个由394个（292个RFLP、94个SSR和8个特殊的基因杂交探针）DNA分子标记组成的遗传连锁图,对小麦千粒重进行了单个标记的回归分析和复合区间作图的QTL定位,在单个标记的回归分析中检测到11个千粒重的QTLs（P〈0.01）;复合区间作图分析结果表明,其中4个标记bcd348a、GW3-1、IND109和Rz2的遗传效应较大,其贡献率分别为9.1%、19.0%、8.07%和8.14%,分别位于小麦的2BS、4AL、5BL和7DS上,特别是在水稻第3条染色体上控制籽粒大小的GW3-1和IND109分别位于小麦4A和5B染色体的长臂端.研究结果对小麦应用分子标记辅助选择或分子克隆基因有重要的参考价值.     

GW3-1和IND109标记对普通小麦粒重的QTL定位分析

应用一个由115个系组成的W7984/Opata85的重组自交系(RIL)群体,建立了一个由394个(292个RFLP、94个SSR和8个特殊的基因杂交探针)DNA分子标记组成的遗传连锁图,对小麦千粒重进行了单个标记的回归分析和复合区间作图的QTL定位,在单个标记的回归分析中检测到11个千粒重的QTLs(P<0.01);复合区间作图分析结果表明,其中4个标记bcd348a、GW3-1、IND109和Rz2的遗传效应较大,其贡献率分别为9.1%、19.0%、8.07%和8.14%,分别位于小麦的2BS、4AL、5BL和7DS上,特别是在水稻第3条染色体上控制籽粒大小的GW3-1和IND109分别位于小麦4A和5B染色体的长臂端.研究结果对小麦应用分子标记辅助选择或分子克隆基因有重要的参考价值.     

小麦对赤霉病抗性不同品种的SOD活性

本研究对9个赤霉病抗性不同小麦品种采用赤霉病菌分生孢子悬浮液以单花针注法进行了田间和温室抗病性鉴定;测定了各品种的胚性愈伤组织和盛花期麦穗分别经赤霉病菌毒素和分生孢子接种前后SOD活性的变化。结果表明,各品种SOD活性与其对赤霉病抗性呈极显著的正相关。接种后寄主的SOD活性均有提高,抗病品种比感病品种提高幅度大,且有新的同工酶带出现。抗病品种望水白比感病品种Alondra“S”多出两条SOD同工酶谱带。SOD在小麦抗赤霉病上可能起积极作用,其活性有可能作为鉴定小麦抗赤霉病的一种生理生化指标。     

小麦对赤霉病抗性不同品种的SOD活性

本研究对９个赤霉病抗性不同小麦品种采用赤霉病菌分生孢子悬浮液以单花针注法进行了田间和温室抗病性鉴定,测定了各品种的胚性愈伤组织和盛花期麦穗分别经赤霉病菌毒素和分生孢子接种前后ＳＯＤ活性的变化。结果表明,各品种ＳＯＤ活性与其对赤霉病抗性呈极显著的正相关,接种后寄主的ＳＯＤ活性均有提高,抗病品种比感病品咱提高幅度大且有新的同工酶带出现。抗病品种望水白比感病品种Ａｌｏｎｄｒａ＂Ｓ＂多出两条ＳＯＤ同工酶谱     

水稻分蘖角度的QTL定位和主效基因的遗传分析

利用水稻籼粳亚种间组合Asominori×IR24重组自交系(RIL)群体71个株系和相应的全基因组染色体片段置换系(Chromosomesegmentsubstitutionline,CSSL)群体65个株系,在2种环境下对分蘖角度性状进行了数量性状基因座(QTL)定位和上位性效应的遗传分析。在两种群体中都出现了分蘖角度的超亲分离。在RIL群体中发现了5个主效QTLs和3对上位性双位点互作标记基因座,控制水稻分蘖角度。其中在第9染色体上位于XNpb108~C506RFLP分子标记区间的qTA-9基因座在2种环境中同时出现,其贡献率平均为28·6%,增加分蘖角度的等位基因来自籼稻品种IR24。利用CSSL群体图示基因型分析,证实在第9染色体上含有RFLP标记C609和C506约15cM的染色体区段,存在增加分蘖角度的基因,来源于染色体片段供体亲本IR24,在Asominori的遗传背景中能增加分蘖角度约15°,该基因的位置与RIL群体在第9染色体上定位的QTL相同,证实了qTA-9的存在。F1表型测定及F2代遗传分析表明,来自IR24的等位基因是一个不完全显性基因。除一对上位性位点存在显著的环境互作效应外,未发现其他位点存在与环境的互作效应。不同基因的加性效应和双位点的上位性效应的共同作用可能是造成水稻分蘖角度超亲分离的主要原因。     

基于染色体片段导入系发掘抗玉米丝黑穗病主效QTL

选用抗玉米丝黑穗病自交系Mo17和SH15为供体,与受体感病自交系黄早四和昌7-2构建回交群体(BC3F1\BC4F2),通过田间人工接种玉米丝黑穗病原菌鉴定抗病性表现,评价群体抗病性。研究结果显示黄早四×(黄早四×Mo17)BC4F2群体发病率明显高于BC3F1群体;两个BC4F2黄早四×(黄早四×Mo17)和昌7-2×(昌7-2×SH15)群体的发病率差异较大。采用SSR标记分析抗病株的供体染色体导入片段,发现随着回交次数的增多,导入片段数量减少,但不同回交群体中供体导入片段数目明显不同。通过连锁不平衡分析,在染色体2.09和3.04区段发掘和验证2个抗玉米丝黑穗病主效QTL,连锁标记分别为umc2077和phio53或bnlg1965。本文研究结果为抗丝黑穗病基因精细定位和分子聚合育种提供了信息和材料。     

Resistance against Fusarium Head Blight in Transgenic Wheat Plants Expressing the ScNPR1 gene

Fusarium head blight (FHB) is a severe global wheat disease that may cause severe yield losses, especially during epidemic years. Transforming the regulatory genes in the metabolic pathways of disease resistance into wheat via transgenic methods is one way to improve resistance to FHB. ScNPR1 (Secale cereale‐NPR1), a regulatory gene for systemic acquired resistance (SAR), was isolated from S. cereale cv Jingzhouheimai and transformed into the moderately FHB‐susceptible wheat variety Ningmai 13. RT‐PCR analysis indicated that the ScNPR1 gene was stably expressed in transgenic plants. An evaluation of the resistance to FHB revealed that six ScNPR1 transgenic lines (NP1, NP2, NP3, NP4, NP5 and NP6) exhibited significantly higher FHB resistance than the wild‐type wheat Ningmai 13 and the null‐segregated plants. The expression of pathogenesis‐related (PR) genes after Fusarium graminearum inoculation was earlier or higher than those in the wild‐type variety Ningmai 13. The high expression in the early stages of PR genes should account for the enhanced FHB resistance in the transgenic lines. Our results suggest that overexpression of ScNPR1 could be used to improve FHB resistance in wheat.     

小麦抗赤霉病品种NBS同源序列克隆与分析

根据二穗短柄草NBS-LRR类基因的保守序列设计同源引物,以小麦抗赤霉病品种苏麦3号、宁7840和望水白基因组DNA为模板,通过PCR扩增,得到43条序列,其中4条为非编码序列或结构域不完整;39条与植物抗病基因同源,其中的7条内部存在终止密码子,可能是假基因,经过比对分析,其余32条具有连续的开放阅读框和保守结构域,推导的氨基酸序列均具有Kinase-1a、Kinase-2和Kinase-3a及GLPL区等几个保守区,在GenBank中均能找到与之高度同源的其他物种的核酸序列,并且Kinase-2的最后一个氨基酸均为色氨酸(W),属于non-TIR类NBS基因。32条序列可分为4大类,它们之间核苷酸同源性为64%-98%,编码氨基酸同源性为22%-98%。根据序列分析随机设计5对不同基因特异性引物,并利用RT-PCR技术进行表达分析,结果表明,7-1、s-3、s-4和w-2均能表达,说明这些片段可能是功能性抗病基因的部分序列;7-13不表达,再次证明属于假基因。32条序列在之前未被报道过,这些RGA可以作为筛选赤霉病功能性抗病基因的候选序列。     

Fusarium Head Blight of Common Polish Winter Wheat Cultivars – Comparison of Effects of Fusarium avenaceum and Fusarium culmorum on Yield Components

The effects of Fusarium avenaceum and Fusarium culmorum on the reduction in yield components, after independent inoculation of 14 winter wheat cultivars, were investigated. Single isolates of F. avenaceum and F. culmorum were independently used in inoculations of winter wheat heads. Reductions in the following yield traits: 1000‐kernel weight (TKW), the weight (WKH) and number (NKH) of kernels per head after inoculation were analysed statistically. The results indicate differences between both pathogens in their effects on yield traits. The statistical calculations were performed using analysis of variance (a three‐factor experiment) for particular yield trait reductions and multivariate analysis of variance for the yield trait reductions jointly. Almost all of the univariate and multivariate hypotheses concerning no differences between pathogens (F. culmorum, F. avenaceum), climatic conditions (years) and cultivars as well as hypotheses concerning no interactions between factors (pathogens, years, cultivars) were rejected at least at P= 0.05 significance level. The reduction of yield traits indicated individual reactions of the tested winter wheat cultivars to different pathogens. Among the tested traits the highest influence on the rejection of the hypothesis concerning the equivalence of F. avenaceum and F. culmorum was observed for TKW and WKH. The effect of the pathogen on yield reduction was greater for F. avenaceum than for F. culmorum during 1996 and 1997. A comparison of the cultivars indicated that the Begra cultivar showed the highest tolerance to inoculation with both Fusarium pathogens. Moreover, this genotype as well as several others showed lower tolerance to F. avenaceum rather than to F. culmorum, whereas Elena was the only cultivar with the opposite tendency.     

大麦赤霉病抗扩展性鉴定与评价

利用禾谷镰刀菌单花滴注接种研究了245份大麦品种对赤霉病抗扩展性。结果表明,大麦赤霉病抗性除了抗初侵染外还存在抗扩展类型。比较了接种后7d、14d和21d的病小穗数和病小穗率以覆由不同期病小穗率获得的病程曲线面积等7个指标性状,并对其进行遗传参数分析,发现21d病小穗率指标在品种间具帔大的变幅、遗传变异系数和遗传率,21d病小穗数和病程曲线面积与病小穗率呈极显著正相关。不同大麦品种抗扩展性表现不一,供试品种中以Suyin21、乌金一号、莆846193、盐97001、96AC20-30五个品种21d病小穗率最低,为高抗品种,占全部供试品种的2．04％。     

浙江赤霉病抗性不同的大麦地方品种遗传多样性分析

采用SSR标记方法研究了43份对大麦赤霉病有不同抗性的浙江地方品种的遗传多样性。结果显示29对SSR引物在上述品种中共检测到87个等位基因,每对引物等位基因数在2~9之间,平均为3个;平均多态性信息含量（PIC）为0.3509,平均Shannon指数(I)为0.6951,平均Nei’s基因多样性指数(H)为0.4268。品种间的遗传相似系数变幅为0.082~0.986,平均值为0.467。聚类分析将参试品种分为4大类。浙江省地方品种遗传多样性较高,二棱品种的遗传变异明显高于六棱品种;抗和中抗赤霉病品种的遗传变异也较大。聚类结果与品种来源无任何关系;主成分分析结果与聚类分析结果基本一致。     

Competitive Aggressiveness in Binary Mixtures of Fusarium graminearum and F. culmorum Isolates Inoculated on Spring Wheat with Highly Effective Resistance QTL

Fusarium head blight (FHB) caused by Fusarium graminearum and F. culmorum is a devastating disease with high effects on grain yield and quality. We developed spring wheat lines incorporating the highly effective FHB resistance quantitative trait loci (QTL) Fhb1 and Qfhs.ifa‐5A. Whether these QTL lead to competition within Fusarium populations in the field resulting in isolates with higher aggressiveness has not been analysed. The aims of this study were to determine (i) the aggressiveness potential of F. graminearum and F. culmorum isolates, (ii) competition effects of these isolates in binary mixtures and (iii) the stability of resistant hosts. Six F. graminearum, two F. culmorum isolates and seven binary mixtures containing these isolates were tested for their aggressiveness and mycotoxin production at two locations in South Germany in 2007 and 2008. Host lines were four spring wheat lines containing the resistance QTL Fhb1 and/or Qfhs.ifa‐5A or none of them and one standard variety. Re‐isolates were sampled from plots inoculated with the binary mixtures to identify the percentage of each isolate in the mixture by simple sequence repeat markers. Resistant host lines reacted as expected and had a high stability to all isolates and mixtures. Only less important host × mixture interactions were detected. Aggressiveness among isolates and mixtures was significantly different. Type and amount of mycotoxin and high single isolate aggressiveness were not necessarily advantageous in the mixture. However, both F. culmorum isolates outcompeted F. graminearum isolates. Significant deviations from the inoculated 1 : 1 proportions occurred in 34 of 49 cases, illustrating that competition effects appeared in the mixtures. These differences depended mainly on the year and not on the level of host resistance. We conclude that resistance should not be affected by the Fusarium isolates and mixtures.     

A model wheat cultivar for transformation to improve resistance to Fusarium Head Blight

Fusarium head blight (FHB), caused primarily by Fusarium graminearum, is a major disease problem in wheat (Triticum aestivum). Genetic engineering holds significant potential to enhance FHB resistance in wheat. Due to the requirement of screening for FHB resistance on flowers at anthesis, the number of screens carried out in a year is limited. Our objective was to evaluate the feasibility of using the rapid-maturing dwarf wheat cultivar Apogee as an alternative genotype for transgenic FHB resistance research. Our transformation efficiency (number of transgenic plants/number of embryos) for Apogee was 1.33%. Apogee was also found to exhibit high FHB susceptibility and reached anthesis within 4 weeks. Interestingly, microsatellite marker haplotype analysis of the chromosome 3BS FHB resistant quantitative trait locus (QTL) region indicated that this region maybe deleted in Apogee. Our results indicate that Apogee is particularly well suited for accelerating transgenic FHB resistance research and transgenic wheat research in general. C.A. Mackintosh and D.F. Garvin contributed equally to the article and should be considered co-first authors     

Genetic dissection of a major Fusarium head blight QTL in tetraploid wheat

The devastating effect of Fusarium head blight (FHB) caused by Fusarium graminearum has led to significant financial losses across the Upper Midwest of the USA. These losses have spurred the need for research in biological, chemical, and genetic control methods for this disease. To date, most of the research on FHB resistance has concentrated on hexaploid wheat (Triticum aestivum L.) lines originating from China. Other sources of resistance to FHB would be desirable. One other source of resistance for both hexaploid wheat and tetraploid durum wheat (T. turgidum L. var. durum) is the wild tetraploid, T. turgidum L. var. dicoccoides (T. dicoccoides). Previous analysis of the `Langdon'-T. dicoccoides chromosome substitution lines, LDN(Dic), indicated that the chromosome 3A substitution line expresses moderate levels of resistance to FHB. LDN(Dic-3A) recombinant inbred chromosome lines (RICL) were used to generate a linkage map of chromosome 3A with 19 molecular markers spanning a distance of 155.2 cM. The individual RICL and controls were screened for their FHB phenotype in two greenhouse seasons. Analysis of 83 RICL identified a single major quantitative trait locus, Qfhs.ndsu-3AS, that explains 37% of the phenotypic or 55% of the genetic variation for FHB resistance. A microsatellite locus, Xgwm2, is tightly linked to the highest point of the QTL peak. A region of the LDN (Dic-3A) chromosome associated with the QTL for FHB resistance encompasses a 29.3 cM region from Xmwg14 to Xbcd828.     

Enhanced power of QTL detection for Fusarium head blight resistance in wheat by means of codominant scoring of hemizygous molecular markers

Based on different marker information content mapping of QTLs for Fusarium head blight resistance in wheat was compared with regard to number and consistency of detected QTLs as well as QTL positions and effects. Therefore, two linkage maps, obtained by dominant and codominant genotyping of hemizygous markers, were constructed with 211 AFLPs, 37 SSRs and the barley RGA marker XaACT/CAA. The codominant marker set comprised 59% codominant markers, whereas the dominant map consisted of only 13%. A segregating wheat population of 94 F₄-RILs was used for QTL analysis. Fusarium head blight resistance was estimated in field trials in six environments. Conventional dominant marker scoring found seven QTLs. The phenotypic variations explained by QTLs detected in single environment analyses ranged from 11.1 to 44.6%. QTL analysis performed with the codominant marker set confirmed not only all QTL positions as revealed by dominant QTL analysis', but also 12 additional QTLs were found. QTLs in single environments explained 36.3 up to 55.7% of the phenotypic variation. In the QTL analysis across all environments, none of the QTLs could be confirmed using dominant marker scoring. However, by codominant QTL analysis' environment-specific QTLs were retrieved. STS marker XaACT/CAA was found to be significantly associated with FHB resistance only by codominant scoring. Support intervals of QTLs commonly found in both marker sets averaged to 10.3 cM in the dominant QTL analysis', whereas the length was shortened to 8.9 cM by codominant genotyping. The advantages of extracting codominant information from dominant markers are discussed.