基因聚合提高了水稻对白叶枯病的抗性 Performance of Resistance Gene Pyramids to Races of RiceBacterial Blight in Zhejiang Province

研究了含有单个抗性基因的水稻近等基因系和抗性基因聚合品系对浙江省白 叶枯病菌4个主要小种的抗性,单个基因对这些小种的抗性均不高,对新近流行的小种大 多感病;基因聚合品系对这些小种的抗性普遍提高,说明基因聚合是培育具有持久抗性品 种的有效策略。 Abstract:The resistance of rice near isogenic lines containing single bacterial blight resistance genes and the gene pyramids to four races in Zhejiang Province were studied.The single resistance genes showed moderate resistance to most of the races.All the single genes were susceptible to the newly emerging race.The resistance of all the pyramids were enhanced to almost all the races,indicating that gene pyramiding is an effective strategy in developing varieties with durable resistance.     

Mapping of Defense Response Gene Homologs and Their Association with Resistance Loci in Maize

Defense response genes in higher plant species are involved in a variety of signal transduction pathways and biochemical reactions to counterattack invading pathogens. In this study, a total of 366 non-redundant defense response gene homologs （DRHs）, including 124 unigenes/expressed sequence tags, 226 tentative consensuses, and 16 DRH contigs have been identified by mining the Maize Genetics and Genomics and The Institute for Genomic Research maize databases using 35 essential defense response genes. Of 366 DRHs, 202 are mapped to 152 loci across ten maize chromosomes via both the genetic and in silico mapping approaches. The mapped DRHs seem to cluster together rather than be evenly distributed along the maize genome. Approximately half of these DHRs are located in regions harboring either major resistance genes or quantitative trait loci （QTL）. Therefore, this comprehensive DRH linkage map will provide reference sequences to identify either positional candidate genes for resistance genes and/or QTLs or to develop makers for fine-mapping and marker-assisted selection of resistance genes and/or QTLs.     

Identification of genes contributing to quantitative disease resistance in rice

Despite the importance of quantitative disease resistance during a plant’s life, little is known about the molecular basis of this type of host-pathogen interaction, because most of the genes underlying resistance quantitative trait loci (QTLs) are unknown. To identify genes contributing to resistance QTLs in rice, we analyzed the colocalization of a set of characterized rice defense-responsive genes and resistance QTLs against different pathogens. We also examined the expression patterns of these genes in response to pathogen infection in the parents of the mapping populations, based on the strategy of validation and functional analysis of the QTLs. The results suggest that defense-responsive genes are important resources of resistance QTLs in rice. OsWRKY45-1 is the gene contributing to a major resistance QTL.NRR,OsGH3-1,and OsGLP members on chromosome 8 contribute alone or collectively to different minor resistance QTLs. These genes function in a basal resistance pathway or in major disease resistance gene-mediated race-specific pathways.     

玉米对青枯病抗性遗传规律的研究

作者在玉米对青枯病抗性鉴定的基础上,选用6个抗性不同的自交系,按完全双列杂交设计,进行了玉米对肿囊腐霉菌(Pythium inflatum Matthews )青枯病的抗性遗传研究。首次证明:玉米对肿囊腐霉菌青枯病的遗传方式因自交系而异, 有的自交系具数量性状遗传特点,有的则具质量性状遗传特点。属数量性状遗传的自交系,其抗性主要是受加性基因控制。 Abstract:Based on the identification of resistance,six inbreds with defferent degrees of resistance were used in the inheritance experiment dexigned by a complete diallel cross.Genetic study on maize resistance to Pythium inflatum Matthews was carried out.The results showed for the first time that different maize inbreds may have different genetic patterns in resistance to Pythium inflatum Matthews.Some inbreds showed characteristics of quantitative inheritance,while some inbreds showed characteristics of qualitative inheritance.Resistance based on quantitative inheritance was mainly controlled by additive genes.     

The Genetic Architecture of Flowering Time and Photoperiod Sensitivity in Maize as Revealed by QTL Review and Meta Analysis

The control of flowering is not only important for reproduction,but also plays a key role in the processes of domestication and adaptation.To reveal the genetic architecture for flowering time and photoperiod sensitivity,a comprehensive evaluation of the relevant literature was performed and followed by meta analysis.A total of 25 synthetic consensus quantitative trait loci(QTL)and four hot-spot genomic regions were identified for photoperiod sensitivity including 11 genes related to photoperiod response or flower morphogenesis and development.Besides,a comparative analysis of the QTL for flowering time and photoperiod sensitivity highlighted the regions containing shared and unique QTL for the two traits.Candidate genes associated with maize flowering were identified through integrated analysis of the homologous genes for flowering time in plants and the consensus QTL regions for photoperiod sensitivity in maize(Zea mays L.).Our results suggest that the combination of literature review,meta-analysis and homologous blast is an efficient approach to identify new candidate genes and create a global view of the genetic architecture for maize photoperiodic flowering.Sequences of candidate genes can be used to develop molecular markers for various models of marker-assisted selection,such as marker-assisted recurrent selection and genomic selection that can contribute significantly to crop environmental adaptation.     

Disease Resistance in Maize and the Role of Molecular Breeding in Defending Against Global Threat

Diseases are a potential threat to global food security but plants have evolved an extensive array of methodologies to cope with the invading pathogens. Non-host resistance and quantitative re- sistance are broad spectrum forms of resistance, and all kinds of resistances are controlled by extremely diverse genes called "R- genes". R-genes follow different mechanisms to defend plants and PAMP-induced defenses in susceptible host plants are referred to as basal resistance. Genetic and phenotypic diversity are vital in maize (Zea mays L.); as such, genome wide association study (GWAS) along with certain other methodologies can explore the maximum means of genetic diversity. Exploring the complete genetic archi- tecture to manipulate maize genetically reduces the losses from hazardous diseases. Genomic studies can reveal the interaction be- tween different genes and their pathways. By confirming the specific role of these genes and protein-protein interaction (proteomics) via advanced molecular and bioinformatics tools, we can shed a light on the most complicated and abstruse phenomena of resistance.     

小麦农家品种大籽糙抗条锈性的遗传分析

以抗条锈病的农家品种大籽糙作父本、感病品种铭贤169作母本杂交获得F1代杂交种,F1代植株自交获得F2代种子,F1代植株与铭贤169回交获得 BC1代种子。在人工控制条件下,用我国小麦条锈菌优势小种条中28号和条中32号,分别对F1、F2、BC1代及其亲本的幼苗进行人工接种,研究了它们的抗性表现和杂交后代中抗条锈性的分离情况。结果表明,大籽糙对条中32号小种的抗性由一对隐性基因控制;对条中28号小种的抗性由一对显性基因和一对隐性基因的互补作用控制。 Abstract:Dazicao,a native wheat variety with stripe rust resistance from Henan,China,was crossed with susceptible cultivar Mingxian 169 as the female parent.The F1 progeny was selfed to produce F2 progeny and backcrossed with Mingxian 169 to produce BC1 progeny.In air-conditioned greenhouse,seedlings of the F1,F2,BC1 progenies and their parents were inoculated with the prevalent races CY28 and CY32 of Puccinia striiformis respectively.The phenotypes of the F1,F2 and BC1 plants were analyzed for resistance to the two races.The results indicated that the resistance in the Dazicao to race CY32 was controlled by one recessive gene,and the resistance to race CY28 by complementary action of one dominant gene and one recessive gene.     

Quantitative genetic analysis of chlorophyll a fluorescence parameters in maize in the field environments

Chlorophyll fluorescence transient from initial to maximum fluorescence("P" step) throughout two intermediate steps("J" and "I")(JIP‐test) is considered a reliable early quantitative indicator of stress in plants. The JIP‐test is particularly useful for crop plants when applied in variable field environments. The aim of the present study was to conduct a quantitative trait loci(QTL) analysis for nine JIP‐test parameters in maize during flowering in four field environments differing in weather conditions. QTL analysis and identification of putative candidate genes might help to explain the genetic relationship between photosynthesis and different field scenarios in maize plants. The JIP‐test parameters were analyzed in the intermated B73 Mo17(IBM) maize population of 205 recombinant inbred lines. A set of 2,178 molecular markers across the whole maize genome was used for QTL analysis revealing 10 significant QTLs for seven JIP‐test parameters, of which five were co‐localized when combinedover the four environments indicating polygenic inheritance and pleiotropy. Our results demonstrate that QTL analysis of chlorophyll fluorescence parameters was capable of detecting one pleiotropic locus on chromosome 7, coinciding with the gene gst23 that may be associated with efficient photosynthesis under different field scenarios.     

玉米CMS分子生物学研究进展

本文对玉米CMS研究已获得的、并为普遍接受的分子生物学研究结果进行了粗略总结;对近年来在玉米细胞质雄性不育育性相关核基因的分子标记定位、克隆及辅助选择,育性相关胞质基因的克隆与表达方面的研究进展进行了简要概述;我们认为在今后一段时期,玉米CMS研究将着重围绕核不育基因的克隆及表达模式、线粒体功能基因组、育性相关胞质基因与核育性基因相互作用等方向进行研究,以期阐述玉米CMS的形成机理。 Progress of Molecular Biology of CMS in Maize ZHANG Zu-xin,ZHANG Fang-dong,ZHENG Yong-lian National Key Laboratory of Crop Genetic Improvement,Huazhong Agricultural University,Wuhan 430070,China Abstract:In the paper,we have summarized the molecular biological accomplishment acquired and accepted by most of maize researchers on CMS of maize.A brief review of current molecular biological progress of CMS of maize are displayed in the paper.These progresses concern in the positioning,cloning and maker-assisted selection of nucleic genes associated with fertility,expression and cloning of cytoplasmic genes associated with male sterility,In order to elucidate the molecular mechanism of CMS of maize,the areas about cloning and expression profiling of male sterile nucleic genes,and functional genomics of mitochondria,and interaction cytoplasmic genes with nucleic genes will need to be researched in the future. Key words：maize(Zea mays L.);CMS;mtDNA;gene associated with fertility     

The Association of Peroxidase Activity and Resistance of Maize to Exserohilum turcicum

Peroxidase activity in leaves of maize (Zea mays L.) differing in susceptibility to Exserohilum turcicum has been investigated in relation to their resistance to Northern Leaf Blight (NLB) caused by the fungal pathogen E. turcicum. In non-inoculated plants, high peroxidase activity was detected in leaves of the resistant isolines B37HtN and B73HtN as compared with the susceptible isolines B37 and B73 and the sweet corn variety Jubilee. After inoculation with E. turcicum, peroxidase activity increased in both susceptible and resistant isolines B73 and B73HtN. However, marked enhancement of peroxidase activity was detected 6 days after inoculation and became remarkable in isoline B73HtN, although symptomes started to show up in both susceptible and resistant plants only 10 days after inoculation. Using polyacrylamide gel electrophoresis separations, different banding pattern of isoperoxidases was found in the susceptible plants as compared with the resistant ones. In non-inoculated plants, three differential bands which appeared in the resistant isoline B37HtN, were absent in the susceptible Jubilee plants, and were as traces in the isoline B37. These bands first appeared in Jubilee and as clear bands in B37, only after inoculation with E. turcicum. The association of these isoperoxidases and resistance of maize to E. turcicum is discussed.     

Distribution,Etiology, Molecular Genetics and Management Perspectives of Northern Corn Leaf Blight of Maize (<i>Zea mays</i> L.)

Maize is cultivated extensively throughout the world and has the highest production among cereals. However, Northern corn leaf blight (NCLB) disease caused by Exherohilum turcicum, is the most devastating limiting factor of maize production. The disease causes immense losses to corn yield if it develops prior or during the tasseling and silking stages of crop development. It has a worldwide distribution and its development is favoured by cool to moderate temperatures with high relative humidity. The prevalence of the disease has increased in recent years and new races of the pathogen have been reported worldwide. The fungus E. turcicum is highly variable in nature. Though different management strategies have proved effective to reduce economic losses from NCLB, the development of varieties with resistance to E. turcicum is the most efficient and inexpensive way for disease management. Qualitative resistance for NCLB governed by Ht genes is a race-specific resistance which leads to a higher level of resistance. However, some Ht genes can easily become ineffective under the high pressure of virulent strains of the pathogen. Hence, it is imperative to understand and examine the consistency of the genomic locations of quantitative trait loci for resistance to NCLB in diverse maize populations. The breeding approaches for pyramiding resistant genes against E. turcicum in maize can impart NCLB resistance under high disease pressure environments. Furthermore, the genome editing approaches like CRISPR-cas9 and RNAi can also prove vital for developing NCLB resistant maize cultivars. As such this review delivers emphasis on the importance and current status of the disease, racial spectrum of the pathogen, genetic nature and breeding approaches for resistance and management strategies of the disease in a sustainable manner.     

玉米抗大斑病基因Ht2、Ht3分子标记的应用检测

采用包括两套近等基因系在内的11份含有不同抗大斑病基因的玉米材料,对已报道的与Ht2、Ht3基因连锁的分子标记进行应用性检测。实验选用umc1202、bnlg1152、umc1149、SD-06633和bnlg1666等5对引物进行PCR扩增检测,发现被检测引物均缺乏对相应标记基因的特异性扩增;对与Ht2基因连锁的SCAR引物SD-06633的扩增片段进行了序列分析,发现其在Ht2和HtN基因背景下的扩增片段长度均为631bp,且序列相似性高达98.73%,扩增产物特征一致,无法证明该标记的特异性。检测结果表明,上述已发表的与抗大斑病基因Ht2和Ht3紧密连锁的5个分子标记缺乏特异性,不适用于玉米材料的Ht2和Ht3基因型鉴定。     

The northern corn leaf blight resistance gene Ht1 encodes an nucleotide-binding,leucine-rich repeat immune receptor

Northern corn leaf blight, caused by the fungal pathogen Exserohilum turcicum, is a major disease of maize. The first major locus conferring resistance to E. turcicum race 0, Ht1, was identified over 50 years ago, but the underlying gene has remained unknown. We employed a map-based cloning strategy to identify the Ht1 causal gene, which was found to be a coiled-coil nucleotide-binding, leucine-rich repeat (NLR) gene, which we named PH4GP-Ht1. Transgenic testing confirmed that introducing the native PH4GP-Ht1 sequence to a susceptible maize variety resulted in resistance to E. turcicum race 0. A survey of the maize nested association mapping genomes revealed that susceptible Ht1 alleles had very low to no expression of the gene. Overexpression of the susceptible B73 allele, however, did not result in resistant plants, indicating that sequence variations may underlie the difference between resistant and susceptible phenotypes. Modelling of the PH4GP-Ht1 protein indicated that it has structural homology to the Arabidopsis NLR resistance gene ZAR1, and probably forms a similar homopentamer structure following activation. RNA sequencing data from an infection time course revealed that 1 week after inoculation there was a threefold reduction in fungal biomass in the PH4GP-Ht1 transgenic plants compared to wild-type plants. Furthermore, PH4GP-Ht1 transgenics had significantly more inoculation-responsive differentially expressed genes than wild-type plants, with enrichment seen in genes associated with both defence and photosynthesis. These results demonstrate that the NLR PH4GP-Ht1 is the causal gene underlying Ht1, which represents a different mode of action compared to the previously reported wall-associated kinase northern corn leaf blight resistance gene Htn1/Ht2/Ht3.     

Genetic variation in dosage effects in maize aneuploids.

In maize (Zea mays L.), the consequences of aneuploidy have been well documented, however, genetic variation in the responses to aneuploidy has not been examined. Using simple B-A translocation stocks to generate a dosage series involving segments from 14 chromosome arms, we tested for the presence of genetic variation for dosage responses in maize by examining reciprocal and maternal genotype effects on the dosage responses. Reciprocal effects examined whether there were differences between two distinctly different inbred backgrounds, Mo17Ht and B73Ht, in how they responded to loss or gain of a B73Ht segment in the Mo17Ht x B73Ht (TB) F1 cross versus a Mo17Ht segment in the B73Ht x Mo17Ht (TB) F1 cross. Maternal genotype effects questioned whether different inbred backgrounds, Sc41R, T8, and either Mo17Ht or B73Ht (depending on the male), when used as females responded differently to the loss or gain of a chromosome arm segment from the same male (either B73Ht TB or Mo17Ht TB) in an F1 cross. Numerous examples of reciprocal and maternal genetic effects were identified in this study. Most of the genetic effects were due to differences in magnitude of response rather than direction; however, tassel-branch number involving the 5S chromosome segment in the B73Ht male background and the 7L chromosome segment in the Mo17Ht male background showed a trend toward the maternal genotype effects being due to differences in the direction of the response. Key words : quantitative traits, corn, B-A translocations, dosage analysis.     

Evidence of Multiple Disease Resistance (MDR) and Implication of Meta-Analysis in Marker Assisted Selection

Meta-analysis was performed for three major foliar diseases with the aim to find out the total number of QTL responsible for these diseases and depict some real QTL for molecular breeding and marker assisted selection (MAS) in maize. Furthermore, we confirmed our results with some major known disease resistance genes and most well-known gene family of nucleotide binding site (NBS) encoding genes. Our analysis revealed that disease resistance QTL were randomly distributed in maize genome, but were clustered at different regions of the chromosomes. Totally 389 QTL were observed for these three major diseases in diverse maize germplasm, out of which 63 QTL were controlling more than one disease revealing the presence of multiple disease resistance (MDR). 44 real-QTLs were observed based on 4 QTL as standard in a specific region of genome. We also confirmed the Ht1 and Ht2 genes within the region of real QTL and 14 NBS-encoding genes. On chromosome 8 two NBS genes in one QTL were observed and on chromosome 3, several cluster and maximum MDR QTL were observed indicating that the apparent clustering could be due to genes exhibiting pleiotropic effect. Significant relationship was observed between the number of disease QTL and total genes per chromosome based on the reference genome B73. Therefore, we concluded that disease resistance genes are abundant in maize genome and these results can unleash the phenomenon of MDR. Furthermore, these results could be very handy to focus on hot spot on different chromosome for fine mapping of disease resistance genes and MAS.     

Pathogen race determines the type of resistance response in the stripe rust –Triticum dicoccoides pathosystem

Wild relatives of crop plants may serve as a promising source for screening for new disease resistance genes that can be utilized in breeding programs. Triticum dicoccoides, the wild progenitor of most cultivated wheats, was shown to harbor many resistance genes against the major diseases attacking cultivated wheat. Stripe rust is a devastating fungal disease that attacks wheat in many regions of the world. New races of Puccinia striiformis Westend. f. sp. tritici, the causative agent of stripe rust, have overcome most of the known Yr resistance genes in wheat. Therefore, there is a need to search for new resistance genes in the T. dicoccoides gene pool. A set of 120 T. dicoccoides accessions, collected from 13 populations representing different habitats in Israel and vicinity, was tested for resistance to three prevalent stripe rust races (38E134, 6E16 and 6E0). Of these 120 accessions, 14, 8 and 12% were resistant to races 38E134, 6E16 and 6E0, respectively, while 57, 2 and 4% were moderately resistant to these races, respectively. A unique resistance was found in the population of Mt Hermon where >80% of the accessions showed resistance to all races. Distribution of infection types (ITs) of race 38E134 showed a normal distribution that can fit a quantitative pattern of response, while the distributions of ITs of races 6E16 and 6E0 had excess of extreme values and therefore showing a qualitative pattern of response. anova testing the main factor effects and interaction showed significant effects of population, race and their interaction on IT. Significant positive correlations were obtained between the resistance to races 6E16 and 6E0 and humidity variables of the collections sites, while resistance to race 38E134 was positively correlated with temperature variables. These results show that the pathogen race can determine the type of resistance response, qualitative or quantitative, in the stripe rust—T. dicoccoides pathosystem. The obtained results also reveal that the distribution of resistance to different pathogen races can be affected by different climatic factors.     

Quantitative and qualitative trait loci affecting host-plant response to Exserohilum turcicum in maize (Zea mays L.)

Molecular markers at 103 loci were used to identify the location of quantitative sources of resistance to Exserohilum turcicum in 150 F₂₃ lines of a B52/Mo17 maize population. Host-plant response was measured in terms of the average number of lesions per leaf, the average percent leaf tissue diseased (severity), and the average size of lesions. The location of quantitative trait loci were compared with three loci having known qualitative effects, namely Ht1, Ht2 and bx1. Chromosomal regions containing the Ht1 and Ht2 loci showed a small contribution in determining lesion size, even though alleles with dominant, qualitative effects at these loci have never been reported in either inbred parent. Similar effects were not observed for the number of lesions or for disease severity. Likewise, some contribution was observed for chromosomal regions encompassing the bx1 locus in determining lesion size but not the number of lesions or disease severity. Overall the contribution of loci in the vicinity of Ht1, Ht2 and bx1 was small relative to variation attributable to loci with quantitative effects identified in this study. Molecular-marker-facilitated mapping concurred with previous reciprocal translocation mapping studies on the importance of chromosomes 3, 5 and 7, despite the fact that these studies utilized diverse sources of resistant germplasm.Journal Paper No. J-15177 of the Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa. Project No. 3134     

Identification of QTLs associated with resistance to soybean cyst nematode races 2, 3 and 5 in soybean PI 90763

Soybean cyst nematode (SCN) is a major soybean pest throughout the soybean growing regions in the world, including the USA. Soybean PI 90763 is an important SCN resistance source. It is resistant to several SCN populations including races 2, 3 and 5. But its genetics of resistance is not well known. The objectives of this study were to: (1) confirm quantitative trait loci (QTLs) for resistance to SCN race 3 in PI 90763 and (2) identify QTLs for resistance to SCN races 2 and 5. QTLs were searched in Hamilton × PI 90763 F_2:3populations using 193 polymorphic simple sequence repeats (SSRs) covering 20 linkage groups (LGs). QTLs for resistance to SCN were identified on LGs A2, B1, E, G, J and L. The same QTL was suggested for resistance to different SCN races where their 1-LOD support intervals of QTL positions highly overlapped. The QTL on LG G was associated with resistance to races 2, 3 and 5. The QTL on LG B1 was associated with resistance to races 2 and 5. The QTL on LG J was associated with resistance to races 2 and 3. The QTLs on LGs A2 and L were associated with resistance to race 3. The QTL on LG E was associated with resistance to race 5. We conclude that LGs A2 and B1 may represent an important distinction between resistance to SCN race 3 and resistance to SCN races 2 and 5 in soybean.