Identificazione di un QTL principale per resistenza a ruggine bruna sul cromosoma 7B di frumento duro

Leaf rust caused by Puccinia triticina is a serious disease of durum wheat (Triticum durum) worldwide. However, genetic and molecular mapping studies aimed at characterizing leaf rust resistance genes in durum wheat have been only recently undertaken. The Italian durum wheat cv. Creso shows a high level of resistance to P. triticina that has been considered durable and that appears to be due to a combination of a single dominant gene and one or more additional factors conferring partial resistance. In this study, the genetic basis of leaf rust resistance carried by Creso was investigated using 176 recombinant inbred lines (RILs) from the cross between the cv. Colosseo (C, leaf rust resistance donor) and Lloyd (L, susceptible parent). Colosseo is a cv. directly related to Creso with the leaf rust resistance phenotype inherited from Creso, and was considered as resistance donor because of its better adaptation to local (Emilia Romagna, Italy) cultivation environment. RILs have been artificially inoculated with a mixture of 16 Italian P. triticina isolates that were characterized for virulence to seedlings of 22 common wheat cv. Thatcher isolines each carrying a different leaf rust resistance gene, and for molecular genotypes at 15 simple sequence repeat (SSR) loci, in order to determine their specialization with regard to the host species. The characterization of the leaf rust isolates was conducted at the Cereal Disease Laboratory of the University of Minnesota (St. Paul, USA) (Chapter 2). A genetic linkage map was constructed using segregation data from the population of 176 RILs from the cross CL. A total of 662 loci, including 162 simple sequence repeats (SSRs) and 500 Diversity Arrays Technology markers (DArTs), were analyzed by means of the package EasyMap 0.1. The integrated SSR-DArT linkage map consisted of 554 loci (162 SSR and 392 DArT markers) grouped into 19 linkage blocks with an average marker density of 5.7 cM/marker. The final map spanned a total of 2022 cM, which correspond to a tetraploid genome (AABB) coverage of ca. 77% (Chapter 3). The RIL population was phenotyped for their resistance to leaf rust under artificial inoculation in 2006; the percentage of infected leaf area (LRS, leaf rust susceptibility) was evaluated at three stages through the disease developmental cycle and the area under disease progress curve (AUDPC) was then calculated. The response at the seedling stage (infection type, IT) was also investigated. QTL analysis was carried out by means of the Composite Interval Mapping method based on a selection of markers from the CL map. A major QTL (QLr.ubo-7B.2) for leaf rust resistance controlling both the seedling and the adult plant response, was mapped on the distal region of chromosome arm 7BL (deletion bin 7BL10-0.78-1.00), in a gene-dense region known to carry several genes/QTLs for resistance to rusts and other major cereal fungal diseases in wheat and barley. QLr.ubo-7B.2 was identified within a supporting interval of ca. 5 cM tightly associated with three SSR markers (Xbarc340.2, Xgwm146 e Xgwm344.2), and showed an R2 and an LOD peak value for the AUDPC equal to 72.9% an 44.5, respectively. Three additional minor QTLs were also detected (QLr.ubo-7B.1 on chr. 7BS; QLr.ubo-2A on chr. 2AL and QLr.ubo-3A on chr. 3AS) (Chapter 4). The presence of the major QTL (QLr.ubo-7B.2) was validated by a linkage disequilibrium (LD)-based test using field data from two different plant materials: i) a set of 62 advanced lines from multiple crosses involving Creso and his directly related resistance derivates Colosseo and Plinio, and ii) a panel of 164 elite durum wheat accessions representative of the major durum breeding program of the Mediterranean basin. Lines and accessions were phenotyped for leaf rust resistance under artificial inoculation in two different field trials carried out at Argelato (BO, Italy) in 2006 and 2007; the durum elite accessions were also evaluated in two additional field experiments in Obregon (Messico; 2007 and 2008) and in a green-house experiment (seedling resistance) at the Cereal Disease Laboratory (St. Paul, USA, 2008). The molecular characterization involved 14 SSR markers mapping on the 7BL chromosome region found to harbour the major QTL. Association analysis was then performed with a mixed-linear-model approach. Results confirmed the presence of a major QTL for leaf rust resistance, both at adult plant and at seedling stage, located between markers Xbarc340.2, Xgwm146 and Xgwm344.2, in an interval that coincides with the supporting interval (LOD-2) of QLr.ubo-7B.2 as resulted from the RIL QTL analysis. (Chapter 5). The identification and mapping of the major QTL associated to the durable leaf rust resistance carried by Creso, together with the identification of the associated SSR markers, will enhance the selection efficiency in durum wheat breeding programs (MAS, Marker Assisted Selection) and will accelerate the release of cvs. with durable resistance through marker-assisted pyramiding of the tagged resistance genes/QTLs most effective against wheat fungal pathogens.

Approcci molecolari e bioinformatici volti alla caratterizzazione di Vgt1, QTL coinvolto nella regolazione dell'epoca di fioritura in Zea Mays

The genetic control of flowering time has been addressed by many quantitative trait locus (QTL) studies. A survey of the results from 29 independent studies reporting information on 441 QTLs led to the production of a QTL consensus map, which enabled the identification of 59 chromosome regions distributed on all chromosomes and shown to be frequently involved in the genetic control of flowering time and related traits. One of the major QTLs for flowering time, the Vegetative to generative transition 1 (Vgt1) locus , corresponds to an upstream (70 kb) non-coding regulatory element of ZmRap2.7, a repressor of flowering. A transposon (MITE) insertion was identified as a major allelic difference within Vgt1. One of the hypotheses is that Vgt1 might function by modifying ZmRap2.7 chromatin through an epigenetic mechanism. Therefore, the methylation state at Vgt1 was investigated using an approach that combines digestion with McrBc, an endonuclease that acts upon methylated DNA, and quantitative PCR. The analyses were performed on genomic DNA from leaves of six different maize lines at four stages of development. The results showed a trend of reduction of methylation from the first to the last stage with the exception of a short genomic region flanking the MITE insertion, which showed a constant and very dense methylation throughout leaf development and for both alleles. Preliminary results from bisulfite sequencing of a small portion of Vgt1 revealed differential methylation of a single cytosine residue between the two alleles. ZmRap2.7 expression was assayed in the four developmental stages afore mentioned for the six genotypes, in order to establish a link between methylation at Vgt1 and ZmRap2.7 transcription. To assess the role of Vgt1 as a transcriptional enhancer, two reporter vectors for stable transformation of plants have been developed.

Mappaggio fine di un QTL principale per la resa in granella sul cromosoma 3B di frumento duro

In durum wheat, two major QTL for grain yield (Qyld.idw-2B and Qyld.idw-3B) and related traits were identified in a recombinant population derived from Kofa and Svevo (Maccaferri et al. 2008). To further investigate the genetic and physiological basis of allelic variation for this important trait, the fine mapping of Qyld.idw-2B e Qyld.idw-3B was done during the PhD. In this regard, new molecular markers were added to increase the map resolution in the target interval. For Qyld.idw-2B region COS markers derived from the synteny between wheat and rice/ sorghum /brachypodiu genomes were screened. While for Qyld.idw-3B region SSR, ISBP and COS markers obtained from BAC end-sequences and BAC sequences generated during the construction of the 3B physical map (Paux et al., 2008) were screened. In the RIL population a final map resolution of 2,8 markers/cM for Qyld.idw-2B and 0,6 markers/cM for Qyld.idw-3B were obtained. Eighteen pairs of near-isogenic lines (NILs) for Qyld.idw-3B were obtained from F4:5 heterogeneous inbred families. In order to confirm the phenotypic effect of the QTL all pairs were evaluated in field trials (2010 and 2011) for all traits. Three pairs of NILs, with contrasted haplotypes at the target region, were crossed to produce a large F2 population (ca. 7,500 plants in total) that was screened for the identification of recombinants. A total of 233 homozygous F4:5 segmental isolines were obtained and the phenotypic and genotypic characterization of these materials were done. A fine mapping for Qyld.idw-3B was obtained and the QTL peak was identified in a interval of 0,4 cM. All markers were anchored to the Chinese Spring physical map of chr. 3B, which allowed us to identify the BAC Contigs spanning the QTL region and to assign the QTL peak to Contig 954. Sequencing of this contig has revealed the presence of 42 genes.

Fine Mapping of qroot-yield-1.06, a QTL for Root, Plant Vigor and Yield in Maize

Root-yield-1.06 is a major QTL affecting root system architecture (RSA) and other agronomic traits in maize. The effect of this QTL has been evaluated with the development of near isogenic lines (NILs) differing at the QTL position. The objective of this study was to fine map qroot-yield-1.06 by marker-assisted searching for chromosome recombinants in the QTL interval and concurrent root phenotyping in both controlled and field conditions, through successive generations. Complementary approaches such as QTL meta-analysis and RNA-seq were deployed in order to help prioritizing candidate genes within the QTL target region. Using a selected group of genotypes, field based root analysis by ‘shovelomics’ enabled to accurately collect RSA information of adult maize plants. Shovelomics combined with software-assisted root imaging analysis proved to be an informative and relatively highly automated phenotyping protocol. A QTL interval mapping was conducted using a segregating population at the seedling stage grown in controlled environment. Results enabled to narrow down the QTL interval and to identify new polymorphic markers for MAS in field experiments. A collection of homozygous recombinant NILs was developed by screening segregating populations with markers flanking qroot-yield-1.06. A first set of lines from this collection was phenotyped based on the adapted shovelomics protocol. QTL analysis based on these data highlighted an interval of 1.3 Mb as completely linked with the target QTL but, a larger safer interval of 4.1 Mb was selected for further investigations. QTL meta-analysis allows to synthetize information on root QTLs and two mQTLs were identified in the qroot-yield-1.06 interval. Trascriptomics analysis based on RNA-seq data of the two contrasting QTL-NILs, confirmed alternative haplotypes at chromosome bin 1.06. qroot-yield-1.06 has now been delimited to a 4.1-Mb interval, and thanks to the availability of additional untested homozygous recombinant NILs, the potentially achievable mapping resolution at qroot-yield-1.06 is c. 50 kb.