Genome-Wide Association of Carbon and Nitrogen Metabolism in the Maize Nested Association Mapping Population

Carbon (C) and nitrogen (N) metabolism are critical to plant growth and development and are at the basis of crop yield and adaptation. We performed high-throughput metabolite analyses on over 12,000 samples from the nested association mapping population to identify genetic variation in C and N metabolism in maize (Zea mays ssp. mays). All samples were grown in the same field and used to identify natural variation controlling the levels of 12 key C and N metabolites, namely chlorophyll a, chlorophyll b, fructose, fumarate, glucose, glutamate, malate, nitrate, starch, sucrose, total amino acids, and total protein, along with the first two principal components derived from them. Our genome-wide association results frequently identified hits with single-gene resolution. In addition to expected genes such as invertases, natural variation was identified in key C₄ metabolism genes, including carbonic anhydrases and a malate transporter. Unlike several prior maize studies, extensive pleiotropy was found for C and N metabolites. This integration of field-derived metabolite data with powerful mapping and genomics resources allows for the dissection of key metabolic pathways, providing avenues for future genetic improvement.Carbon (C) and nitrogen (N) metabolism are the basis for life on Earth. The production, balance, and tradeoffs of C and N metabolism are critical to all plant growth, yield, and local adaptation (Coruzzi and Bush, 2001; Coruzzi et al., 2007). In plants, there is a critical balance between the tissues that are producing energy (sources) and those using it (sinks), as the identities and locations of these vary through time and developmental stage (Smith et al., 2004). While a great deal of research has focused on the key genes and proteins involved in these processes (Wang et al., 1993; Kim et al., 2000; Takahashi et al., 2009), relatively little is known about the natural variation within a species that fine-tunes these processes in individual plants.In addition, a key aspect of core C metabolism involves the nature of plant photosynthesis. While the majority of plants use standard C₃ photosynthetic pathways, some, including maize (Zea mays) and many other grasses, use C₄ photosynthesis to concentrate CO₂ in bundle sheath cells to avoid wasteful photorespiration (Sage, 2004). Under some conditions (such as drought or high temperatures), C₄ photosynthesis is much more efficient than C₃ photosynthesis. Since these conditions are expected to become more prevalent in the near future due to climate change, various research groups are working to convert C₃ crop species to C₄ metabolism in order to boost crop production and food security (Sage and Zhu, 2011). Beyond this, better understanding of both C₃ and C₄ metabolic pathways will aid efforts to breed crops for superior yield, N-use efficiency, and other traits important for global food production.In the last two decades, quantitative trait locus (QTL) mapping, first with linkage analysis and later with association mapping, has been used to dissect C and N metabolism in several species, including Arabidopsis (Arabidopsis thaliana; Mitchell-Olds and Pedersen, 1998; Keurentjes et al., 2008; Lisec et al., 2008; Sulpice et al., 2009), tomato (Solanum lycopersicum; Schauer et al., 2006), and maize (Hirel et al., 2001; Limami et al., 2002; Zhang et al., 2006, 2010a, 2010b). These studies identified key genetic regions underlying variation in core C and N metabolism, many of which include candidate genes known to be involved in these processes.Previous studies of genetic variation for C and N metabolism are limited by the fact that they identified trait loci only through linkage mapping in artificial families or through association mapping across populations of unrelated individuals. Linkage mapping benefits from high statistical power due to many individuals sharing the same genotype at any given location, but it suffers from low resolution due to the limited number of generations (and hence recombination events) since the initial founders. Association mapping, in turn, enjoys high resolution due to the long recombination histories of natural populations but suffers from low power, since most genotypes occur in only a few individuals. In addition, many of these studies focused on C and N in artificial settings (e.g. greenhouses or growth chambers) instead of field conditions, running the risk that important genetic loci could be missed if the conditions do not include important (and potentially unknown) natural environmental variables.To address these issues and improve our understanding of C and N metabolism in maize, we used a massive and diverse germplasm resource, the maize nested association mapping (NAM) population (Buckler et al., 2009; McMullen et al., 2009), to evaluate genetic variation underlying the accumulation of 12 targeted metabolites in maize leaf tissue under field conditions. This population was formed by mating 25 diverse maize lines to the reference line, B73, and creating a 200-member biparental family from each of these crosses. The entire 5,000-member NAM population thus combines the strengths of both linkage and association mapping (McMullen et al., 2009), and it has been used to identify QTLs for important traits such as flowering time (Buckler et al., 2009), disease resistance (Kump et al., 2011; Poland et al., 2011), and plant architecture (Tian et al., 2011; Peiffer et al., 2013). Most importantly, this combination of power and resolution frequently resolves associations down to the single-gene level, even when using field-based data.The metabolites we profiled are key indicators of photosynthesis, respiration, glycolysis, and protein and sugar metabolism in the plant (Sulpice et al., 2009). By taking advantage of a robotized metabolic phenotyping platform (Gibon et al., 2004), we performed more than 100,000 assays across 12,000 samples, with two independent samples per experimental plot. Raw data and the best linear unbiased predictors (BLUPs) of these data were included as part of a study of general functional variation in maize (Wallace et al., 2014), but, to our knowledge, this is the first in-depth analysis of these metabolic data. We find strong correlations among several of the metabolites, and we also find extensive pleiotropy among the different traits. Many of the top QTLs are also near or within candidate genes relating to C and N metabolism, thus identifying targets for future breeding and selection. These results provide a powerful resource for those working with core C and N metabolism in plants and for improving maize performance in particular.     

玉米弯孢叶斑病菌的形态学分类与RAPD分析

对16个供试弯孢分离株根据其分生孢子的形态进行分类,其中12个为新月弯孢(Curvularia luna-ta),其余4个是画眉草弯孢(C.eragrostidis)。对这些分离株基因组DNA进行RAPD分析发现,一些分属于两种不同弯孢菌的分离株间比同种弯孢的分离株间具有更近的遗传距离,即具有更近的亲缘关系。因此,根据弯孢菌的形态分类和利用RAPD标记的分类结果存在不一致现象。     

Genome-Wide Association Mapping for Resistance to Leaf and Stripe Rust in Winter-Habit Hexaploid Wheat Landraces

Leaf rust, caused by Puccinia triticina (Pt), and stripe rust, caused by P. striiformis f. sp. tritici (Pst), are destructive foliar diseases of wheat worldwide. Breeding for disease resistance is the preferred strategy of managing both diseases. The continued emergence of new races of Pt and Pst requires a constant search for new sources of resistance. Here we report a genome-wide association analysis of 567 winter wheat (Triticum aestivum) landrace accessions using the Infinium iSelect 9K wheat SNP array to identify loci associated with seedling resistance to five races of Pt (MDCL, MFPS, THBL, TDBG, and TBDJ) and one race of Pst (PSTv-37) frequently found in the Northern Great Plains of the United States. Mixed linear models identified 65 and eight significant markers associated with leaf rust and stripe rust, respectively. Further, we identified 31 and three QTL associated with resistance to Pt and Pst, respectively. Eleven QTL, identified on chromosomes 3A, 4A, 5A, and 6D, are previously unknown for leaf rust resistance in T. aestivum.     

玉米抗寒生理指标的遗传效应分析

以6个不同的玉米自交系为亲本,按6×6Griffing I完全双列杂交设计组配36个组合,测定低温处理后亲子代可溶性蛋白质、可溶性糖、丙二醛（MDA）和脯氨酸（Pro）含量以及过氧化物酶（POD）活性。结果表明,除可溶性糖外,其他生理指标中的平均中亲优势均表现为正向优势。杂种F1与亲本的相应性状的中亲值关系比较密切,可利用双亲平均值预测F1表现。玉米抗寒性受细胞质影响较小,主要是核遗传。POD活性和脯氨酸含量主要受加性效应的影响,可溶性蛋白质和MDA含量主要受非加性效应的影响,可溶性糖含量受加性与非加性效应的共同作用。5个生理指标的广义遗传力均远远大于狭义遗传力。     

玉米P25自交系抗锈病基因的遗传分析及SSR分子标记定位

以玉米南方型锈病免疫自交系P2 5和感病自交系F3 4 9及F1、F2 、B1和B2 为材料 ,采用主基因 多基因混合遗传模型研究了P2 5的抗病遗传规律。结果表明 :自交系P2 5的抗病基因为一主基因 ,表现为加性效应 ,没有检测出多基因 ,其在F2 、B1和B2 群体的遗传率分别为 81 88%、38 14 %和 5 5 1%。利用SSR分子标记技术 ,以组合P2 5×F3 4 9的F2 :3 家系作为构图群体 ,构建了玉米SSR遗传连锁图谱 ,并将玉米抗南方型锈病基因定位于 10号染色体上 ,与phi0 5 9标记的遗传距离为 5 8cM。     

Genome-Wide Association Studies of Anthracnose and Angular Leaf Spot Resistance in Common Bean (Phaseolus vulgaris L.)

The common bean (Phaseolus vulgaris L.) is the world’s most important legume for human consumption. Anthracnose (ANT; Colletotrichum lindemuthianum) and angular leaf spot (ALS; Pseudocercospora griseola) are complex diseases that cause major yield losses in common bean. Depending on the cultivar and environmental conditions, anthracnose and angular leaf spot infections can reduce crop yield drastically. This study aimed to estimate linkage disequilibrium levels and identify quantitative resistance loci (QRL) controlling resistance to both ANT and ALS diseases of 180 accessions of common bean using genome-wide association analysis. A randomized complete block design with four replicates was performed for the ANT and ALS experiments, with four plants per genotype in each replicate. Association mapping analyses were performed for ANT and ALS using a mixed linear model approach implemented in TASSEL. A total of 17 and 11 significant statistically associations involving SSRs were detected for ANT and ALS resistance loci, respectively. Using SNPs, 21 and 17 significant statistically associations were obtained for ANT and angular ALS, respectively, providing more associations with this marker. The SSR-IAC167 and PvM95 markers, both located on chromosome Pv03, and the SNP scaffold00021_89379, were associated with both diseases. The other markers were distributed across the entire common bean genome, with chromosomes Pv03 and Pv08 showing the greatest number of loci associated with ANT resistance. The chromosome Pv04 was the most saturated one, with six markers associated with ALS resistance. The telomeric region of this chromosome showed four markers located between approximately 2.5 Mb and 4.4 Mb. Our results demonstrate the great potential of genome-wide association studies to identify QRLs related to ANT and ALS in common bean. The results indicate a quantitative and complex inheritance pattern for both diseases in common bean. Our findings will contribute to more effective screening of elite germplasm to find resistance alleles for marker-assisted selection in breeding programs.     

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.     

一个显性卷叶突变体z2的遗传分析与精细定位

叶片的适度卷曲对水稻理想株型育种具有重要意义。在水稻T-DNA插入突变体库中获得一个叶片外卷突变体z2,突变体表型出现在分蘖期;与野生型相比,农艺性状无明显差异,光合作用效率高于野生型。对突变体和野生型的石蜡切片研究表明,突变体叶片泡状细胞数量(8-9个)明显多于野生型(4-5个)。z2卷叶性状遗传稳定,由一对显性核基因控制。以z2纯合突变体为母本,籼稻Dular为父本进行杂交构建F2代定位群体,利用图位克隆的方法,将该基因初定位于水稻第2号染色体的In Del1812与In Del1870标记之间,物理距离为580 kb。     

水稻中大麦Mlo和玉米Hm1抗病基因同源序列的分析和定位

大麦抗病基因Mlo和玉米抗病基因Hm1编码的产物不具有绝大多数植物抗病基因产物所含有的保守结构域。这两个抗病基因的作用机理也不符合基因对基因学说。从水稻中分离克隆了Mlo基因的同源序列OsMlo-1和玉米Hm1基因的同源序列DFR－1。利用水稻分子标记遗传连锁图,将OsMlo-1定位于水稻第六染色体的两俱RZ667和RG424之间;Osmlo-1距离这两个分子标记分别为20．6和6．0cM(centi-Morgan)。将DFR－1定位于水稻第一染色体两个分子标记R2635和RG462之间;DFR－1距离这两个分子标记分别为11．3和23．9cM。参照已发表的水稻分子标记连锁图,发现OsMlo-1和DFR－1的染色体位点分别与两个报道的水稻抗稻瘟病数量性状位点（QTL）有较好的对应关系。结果提示,水稻中与大麦Mlo 和玉米Hml同源的基因可能也参于抗病反应的调控。     

The Genetics of Leaf Flecking in Maize and Its Relationship to Plant Defense and Disease Resistance

Physiological leaf spotting, or flecking, is a mild-lesion phenotype observed on the leaves of several commonly used maize (Zea mays) inbred lines and has been anecdotally linked to enhanced broad-spectrum disease resistance. Flecking was assessed in the maize nested association mapping (NAM) population, comprising 4,998 recombinant inbred lines from 25 biparental families, and in an association population, comprising 279 diverse maize inbreds. Joint family linkage analysis was conducted with 7,386 markers in the NAM population. Genome-wide association tests were performed with 26.5 million single-nucleotide polymorphisms (SNPs) in the NAM population and with 246,497 SNPs in the association population, resulting in the identification of 18 and three loci associated with variation in flecking, respectively. Many of the candidate genes colocalizing with associated SNPs are similar to genes that function in plant defense response via cell wall modification, salicylic acid- and jasmonic acid-dependent pathways, redox homeostasis, stress response, and vesicle trafficking/remodeling. Significant positive correlations were found between increased flecking, stronger defense response, increased disease resistance, and increased pest resistance. A nonlinear relationship with total kernel weight also was observed whereby lines with relatively high levels of flecking had, on average, lower total kernel weight. We present evidence suggesting that mild flecking could be used as a selection criterion for breeding programs trying to incorporate broad-spectrum disease resistance.The plant hypersensitive response (HR) is a form of programmed cell death (PCD) characterized by rapid, localized cell death at the point of attempted pathogen penetration, usually resulting in disease resistance (Coll et al., 2011). It is often associated with other responses, including ion fluxes, an oxidative burst, lipid peroxidation, and cell wall fortification (Hammond-Kosack and Jones, 1996). van Doorn et al. (2011) suggested that HR is a type of PCD sharing features with, but distinct from, both vacuolar cell death and necrosis.HR has been associated with resistance to almost every class of pathogen and pest, including bacteria, viruses, fungi, nematodes, insects, and parasitic plants (Wu and Baldwin, 2010), and generally is most effective against biotrophic pathogens, since biotrophs require a long-term feeding relationship with living host cells. It is generally mediated by dominant resistance (R) genes whose activation is triggered by the direct or indirect detection of specific pathogen-derived effector proteins (Bent and Mackey, 2007). R proteins are maintained in their inactive state if their corresponding effector is not present. Mutants in which HR is constitutively active have been identified in many plant species, including maize/corn (Zea mays; Walbot et al., 1983; Johal, 2007), Arabidopsis (Arabidopsis thaliana; Lorrain et al., 2003), barley (Hordeum vulgare; Wolter et al., 1993), and rice (Oryza sativa; Yin et al., 2000).One well-known class of plant mutants spontaneously form lesions (patches of dead or chlorotic cells) in the absence of any obvious injury, stress, or infection to the plant. Since these lesions in some cases resemble HR, they have been termed disease-lesion mimics (Neuffer and Calvert, 1975). These mutants, which we will here collectively term Les mutants, have been studied extensively, especially in maize (Walbot et al., 1983; Johal et al., 1995; Johal, 2007) and Arabidopsis (Coll et al., 2011). While some of these lesion phenotypes are indeed caused by perturbations in the plant defense response (Hu et al., 1996; Rustérucci et al., 2001), some of the genes underlying this mutant class affect various other pathways that cause cell death if their function is perturbed (Johal, 2007). For instance, the Arabidopsis gene acd2 and the maize gene lls1 are defective in chlorophyll degradation (Gray et al., 1997; Mach et al., 2001).We have defined leaf flecking as the mild, genetically determined spotting observed on many maize inbred cultivars (Vontimitta et al., 2015; Fig. 1). The trait is qualitatively and visually similar to, but quantitatively less severe than, Les mutant phenotypes. The distinction between what constitutes a flecking versus a mild Les trait is necessarily somewhat arbitrary, but for our purposes, we have defined any nonproliferating and distinct leaf-spotting phenotype as flecking.Open in a separate windowFigure 1.A, Examples of variation in the flecking phenotype among inbred lines, with severity increasing from left to right (flecking scores in parentheses, from 0 to 4, scored on a scale of 1–10). B, Leaves of the lines nearly isogenic to inbred Mo20W, into which specific indicated dominant Les mutant genes have been introgressed (Rp1-D21 mutation in an H95 inbred background). Photographs were taken in Clayton, North Carolina, 12 weeks after planting. This figure is adapted from Figure 1 of Vontimitta et al. (2015).Leaf flecking is familiar to most corn breeders, appearing in such well-known and widely used lines such as Mo17 (Zehr et al., 1994) and in several other species such as barley (Makepeace et al., 2007), wheat (Triticum aestivum; Nair and Tomar, 2001), and oat (Avena sativa; Ferdinandsen and Winge, 1930). Flecking tends to be more noticeable in inbreds compared with their derived hybrids (M. Goodman and W. Dolezal, personal communication). Anecdotally, it is often thought to be indicative of a constitutive low-level defense response and as a marker for increased disease resistance.In previous work, we and others have defined the genetic architectures associated with resistance to several maize diseases, including southern leaf blight (SLB; causal agent, Cochliobolus heterostrophus), northern leaf blight (NLB; causal agent, Exserohilum turcicum), and gray leaf spot (GLS; causal agent, Cercospora zeae-maydis; Kump et al., 2011; Poland et al., 2011; Wisser et al., 2011; Benson et al., 2015), and with the control of the maize HR (Chintamanani et al., 2010; Chaikam et al., 2011; Olukolu et al., 2013). For much of this work, we used two powerful mapping populations: the maize association population (Flint-Garcia et al., 2005), a collection of 302 diverse inbred lines with low linkage disequilibrium, and the 5,000-line nested association mapping (NAM) population (McMullen et al., 2009), which is made up of 25 200-line recombinant inbred line (RIL) subpopulations derived from crosses between the common parent B73 and 25 diverse inbreds. Using these populations, it is possible to both sample a diverse array of germplasm and map quantitative trait loci (QTLs) precisely, in some cases to the gene level (Tian et al., 2011; Cook et al., 2012; Hung et al., 2012; Larsson et al., 2013; Olukolu et al., 2013; Wang and Balint-Kurti, 2016).A recent study using 300 lines from the maize intermated B73 × Mo17 population advanced intercross line mapping population identified low but moderately significant positive correlations between increased flecking and increased disease resistance and defense response (Vontimitta et al., 2015). Loci associated with variation in flecking were mapped, although these loci did not colocalize with QTLs identified previously for disease resistance and defense response traits (Balint-Kurti et al., 2007, 2008, 2010; Olukolu et al., 2013). In this study, we have extended this work to examine the genetic basis of leaf flecking over a much more diverse set of maize germplasm using a substantially larger population. We mapped loci associated with variation in leaf flecking and identified candidate genes and pathways that may be involved in this phenotype. Additionally, we have examined the correlations between leaf flecking and disease resistance, the hypersensitive defense response, and total kernel weight.     

水稻恢复系M630稻瘟病抗性改良及其代谢组研究

稻瘟病是水稻的主要病害之一,改良水稻稻瘟病抗性对水稻生产、推广具有重要意义.本研究以携带广谱抗稻瘟病基因Pi9材料9311-Pi9为供体,水稻优良恢复系M630为受体,将杂交、回交与分子标记辅助选择和背景筛选相结合,获得改良恢复系M630-Pi9.主要农艺性状和稻米品质分析显示改良后的M630-Pi9及其杂交组合徽两优...     

Genome-Wide Association Study Reveals Genetic Architecture of Eating Behavior in Pigs and Its Implications for Humans Obesity by Comparative Mapping

This study was aimed at identifying genomic regions controlling feeding behavior in Danish Duroc boars and its potential implications for eating behavior in humans. Data regarding individual daily feed intake (DFI), total daily time spent in feeder (TPD), number of daily visits to feeder (NVD), average duration of each visit (TPV), mean feed intake per visit (FPV) and mean feed intake rate (FR) were available for 1130 boars. All boars were genotyped using the Illumina Porcine SNP60 BeadChip. The association analyses were performed using the GenABEL package in the R program. Sixteen SNPs were found to have moderate genome-wide significance (p<5E-05) and 76 SNPs had suggestive (p<5E-04) association with feeding behavior traits. MSI2 gene on chromosome (SSC) 14 was very strongly associated with NVD. Thirty-six SNPs were located in genome regions where QTLs have previously been reported for behavior and/or feed intake traits in pigs. The regions: 64–65 Mb on SSC 1, 124–130 Mb on SSC 8, 63–68 Mb on SSC 11, 32–39 Mb and 59–60 Mb on SSC 12 harbored several signifcant SNPs. Synapse genes (GABRR2, PPP1R9B, SYT1, GABRR1, CADPS2, DLGAP2 and GOPC), dephosphorylation genes (PPM1E, DAPP1, PTPN18, PTPRZ1, PTPN4, MTMR4 and RNGTT) and positive regulation of peptide secretion genes (GHRH, NNAT and TCF7L2) were highly significantly associated with feeding behavior traits. This is the first GWAS to identify genetic variants and biological mechanisms for eating behavior in pigs and these results are important for genetic improvement of pig feed efficiency. We have also conducted pig-human comparative gene mapping to reveal key genomic regions and/or genes on the human genome that may influence eating behavior in human beings and consequently affect the development of obesity and metabolic syndrome. This is the first translational genomics study of its kind to report potential candidate genes for eating behavior in humans.     

Genetic Analysis and Major Quantitative Trait Locus Mapping of Leaf Widths at Different Positions in Multiple Populations

Background

Leaf width is an important agricultural trait in maize. Leaf development is dependent on cell proliferation and expansion, and these processes exhibit polarity with respect to the longitudinal and transverse axes of the leaf. However, the molecular mechanism of the genetic control of seed vigor remains unknown in maize, and a better understanding of this mechanism is required.

Methodology/Principal Findings

To reveal the genetic architecture of leaf width, a comprehensive evaluation using four RIL populations was performed, followed by a meta-analysis. Forty-six QTLs associated with the widths of leaves at different positions above the uppermost ear were detected in the four RIL populations in three environments. The individual effects of the QTLs ranged from 4.33% to 18.01% of the observed phenotypic variation, with 14 QTLs showing effects of over 10%. We identified three common QTLs associated with leaf width at all of the examined positions, in addition to one common QTL associated with leaf width at three of the positions and six common QTLs associated with leaf width at two of the positions. The results indicate that leaf width at different leaf positions may be affected by one QTL or several of the same QTLs. Such traits may also be regulated by many different QTLs. Thirty-one of the forty-six initial QTLs were integrated into eight mQTLs through a meta-analysis, and 10 of the 14 initial QTLs presenting an R2>10% were integrated into six mQTLs.

Conclusions/Significance

mQTL1-2, mQTL3-1, mQTL7, and mQTL8 were composed of the initial QTLs showing an R2>10% and included four to six of the initial QTLs that were associated with two to four positions in a single population. Therefore, these four chromosome regions may be hot spots for important QTLs for these traits. Thus, they warrant further studies and may be useful for marker-assisted breeding.     

玉米中抗病基因myb1和NDR1同源序列的荧光原位杂交物理定位

以烟草和拟南芥中的单拷贝抗病基因ｍｙｂ１和ＮＤＲ１作探针,利用荧光原位杂交的方法分别对这两个基因在玉米（Ｚｅａ ｍａｙｓ Ｌ．）和烟草（Ｎｉｃｏｔｉａｎａ ｔａｂａｃｕｍ Ｌ．）、玉米和拟南芥（Ａｒａｂｉｄｏｐｓｉｓ ｔｈａｌｉａｎａ（Ｌ．）Ｈｅｙｎｈ．）中的同源性做了研究。杂交结果表明ｍｙｂ１和ＮＤＲ１的同源序列分别位于玉米第８、５染色体,单个信号位置表明０这两个基因的同源序列在玉米基因组中只有     

一个新的水稻叶形突变体（tll1）的遗传分析与精细定位

利用甲基磺酸乙酯（ethylmethane sulphonate,EMS）诱变粳稻品种日本晴获得了一个遗传稳定的叶形突变体thread-like leaf1（tll1）。该突变体在杭州表现为矮化、窄叶,极端时仅剩主脉,呈细丝状。将该突变体分别与籼稻品种南京6号、浙辐802和9311进行正反交配组,遗传分析表明该突变体性状由1对隐性单基因控制。通过SSR和STS分子标记对F2代分离群体进行遗传定位,将该基因初步定位在第12染色体SSR标记RM247和RM101之间。随后利用已公布的粳稻品种日本晴和籼稻品种9311的基因组序列,发展了7对有多态的STS标记,最终将该基因定位在FL13和FL14之间约94.3kb的区间内,为进一步克隆TLL1基因奠定了基础。     

Genetic Analysis of Cold Tolerance at the Germination and Booting Stages in Rice by Association Mapping

Low temperature affects the rice plants at all stages of growth. It can cause severe seedling injury and male sterility resulting in severe yield losses. Using a mini core collection of 174 Chinese rice accessions and 273 SSR markers we investigated cold tolerance at the germination and booting stages, as well as the underlying genetic bases, by association mapping. Two distinct populations, corresponding to subspecies indica and japonica showed evident differences in cold tolerance and its genetic basis. Both subspecies were sensitive to cold stress at both growth stages. However, japonica was more tolerant than indica at all stages as measured by seedling survival and seed setting. There was a low correlation in cold tolerance between the germination and booting stages. Fifty one quantitative trait loci (QTLs) for cold tolerance were dispersed across all 12 chromosomes; 22 detected at the germination stage and 33 at the booting stage. Eight QTLs were identified by at least two of four measures. About 46% of the QTLs represented new loci. The only QTL shared between indica and japonica for the same measure was qLTSSvR6-2 for SSvR. This implied a complicated mechanism of old tolerance between the two subspecies. According to the relative genotypic effect (RGE) of each genotype for each QTL, we detected 18 positive genotypes and 21 negative genotypes in indica, and 19 positive genotypes and 24 negative genotypes in japonica. In general, the negative effects were much stronger than the positive effects in both subspecies. Markers for QTL with positive effects in one subspecies were shown to be effective for selection of cold tolerance in that subspecies, but not in the other subspecies. QTL with strong negative effects on cold tolerance should be avoided during MAS breeding so as to not cancel the effect of favorable QTL at other loci.     

Grafting Tomato Cultivars Resistant or Susceptible to Bacterial Wilt: Analysis of Resistance Mechanisms

Grafting experiments were carried out in order to understand tomato resistance mechanisms to Pseudomonas solanacearum . Resistant scions grafted on susceptible root-stocks wilted, indicating that vascular tissues of resistant cultivars were not tolerant to higher bacterial populations than susceptible ones. Colonization frequencies and bacterial densities observed in plant grafted on resistant or susceptiblle root-stocks showed that resistance was correlated to the limitation of bacterial spread in the lower part of the stem.     

The Identification of Two Head Smut Resistance-Related QTL in Maize by the Joint Approach of Linkage Mapping and Association Analysis

Head smut, caused by the fungus Sphacelotheca reiliana (Kühn) Clint, is a devastating threat to maize production. In this study, QTL mapping of head smut resistance was performed using a recombinant inbred line (RIL) population from a cross between a resistant line “QI319” and a susceptible line “Huangzaosi” (HZS) with a genetic map constructed from genotyping-by-sequencing (GBS) data and composed of 1638 bin markers. Two head smut resistance QTL were identified, located on Chromosome 2 (q2.09HR) and Chromosome 5 (q5.03HR), q2.09HR is co-localized with a previously reported QTL for head smut resistance, and the effect of q5.03HR has been validated in backcross populations. It was also observed that pyramiding the resistant alleles of both QTL enhanced the level of resistance to head smut. A genome-wide association study (GWAS) using 277 diverse inbred lines was processed to validate the mapped QTL and to identify additional head smut resistance associations. A total of 58 associated SNPs were detected, which were distributed in 31 independent regions. SNPs with significant association to head smut resistance were detected within the q2.09HR and q5.03HR regions, confirming the linkage mapping results. It was also observed that both additive and epistastic effects determine the genetic architecture of head smut resistance in maize. As shown in this study, the combined strategy of linkage mapping and association analysis is a powerful approach in QTL dissection for disease resistance in maize.