Marker Assisted Selection

Il programma di miglioramento genetico per le resistenze a stress biotici ha avuto inizio presso la Fondazione Edmund Mach (FEM) nel 2010. Inizialmente è stata condotta una caratterizzazione sia genotipica che fenotipica di materiali acquisiti da altri programmi di breeding e di materiale selvatico raccolto in New Jersey. Sia i genotipi conosciuti nei database internazionali che i genotipi sconosciuti, imparentati e non, sono stati impiegati come linee parentali nel processo di introgressione e di piramidazione di loci di interesse. Una volta pianificati e ottenuti gli incroci, la valutazione delle progenie è avvenuta seguendo un processo di Marker-Assisted Selection: dapprima è avvenuta la selezione fenotipica in serra in base al tipo di malattia e al numero di loci attesi per la medesima malattia; successivamente si è proceduto con lo screening molecolare in base ai loci specifici attesi nei parentali. Cinque sono i loci Run/Ren associati alla resistenza all'oidio presenti nel programma FEM; riguardo ai loci associati alla resistenza alla peronospora, quattro Rpv sono ben rappresentati nel piano di incroci. Ad oggi il 26% delle F1 è piramidizzato per quattro loci di resistenza.

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Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations

BMC Plant Biology ◽

10.1186/s12870-021-03061-y ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Nicole Pretini ◽

Leonardo S. Vanzetti ◽

Ignacio I. Terrile ◽

Guillermo Donaire ◽

Fernanda G. González

Keyword(s):

Doubled Haploid ◽

Marker Assisted Selection ◽

Triticum Aestivum L ◽

Physiological Model ◽

Yield Potential ◽

Breeding Programs ◽

Per Se ◽

Genomic Regions ◽

Fertility Traits ◽

Selection Of

Abstract Background In breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11 × BioINTA 2002 and Baguette 19 × BioINTA 2002). Results In total 305 QTL were identified for 14 traits, out of which 12 QTL were identified in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confidence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel. Conclusions Based on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identified for the spike related traits are the first step to search for their candidate genes, which will allow their better manipulation in the future.

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Development of genic KASP SNP markers from RNA-Seq data for map-based cloning and marker-assisted selection in maize

BMC Plant Biology ◽

10.1186/s12870-021-02932-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Zhengjie Chen ◽

Dengguo Tang ◽

Jixing Ni ◽

Peng Li ◽

Le Wang ◽

...

Keyword(s):

Marker Assisted Selection ◽

Inbred Lines ◽

Average Density ◽

Snp Markers ◽

Data Sets ◽

Rna Seq ◽

Specific Pcr ◽

Maize Inbred Lines ◽

Allele Specific ◽

Allele Specific Pcr

Abstract Background Maize is one of the most important field crops in the world. Most of the key agronomic traits, including yield traits and plant architecture traits, are quantitative. Fine mapping of genes/ quantitative trait loci (QTL) influencing a key trait is essential for marker-assisted selection (MAS) in maize breeding. However, the SNP markers with high density and high polymorphism are lacking, especially kompetitive allele specific PCR (KASP) SNP markers that can be used for automatic genotyping. To date, a large volume of sequencing data has been produced by the next generation sequencing technology, which provides a good pool of SNP loci for development of SNP markers. In this study, we carried out a multi-step screening method to identify kompetitive allele specific PCR (KASP) SNP markers based on the RNA-Seq data sets of 368 maize inbred lines. Results A total of 2,948,985 SNPs were identified in the high-throughput RNA-Seq data sets with the average density of 1.4 SNP/kb. Of these, 71,311 KASP SNP markers (the average density of 34 KASP SNP/Mb) were developed based on the strict criteria: unique genomic region, bi-allelic, polymorphism information content (PIC) value ≥0.4, and conserved primer sequences, and were mapped on 16,161 genes. These 16,161 genes were annotated to 52 gene ontology (GO) terms, including most of primary and secondary metabolic pathways. Subsequently, the 50 KASP SNP markers with the PIC values ranging from 0.14 to 0.5 in 368 RNA-Seq data sets and with polymorphism between the maize inbred lines 1212 and B73 in in silico analysis were selected to experimentally validate the accuracy and polymorphism of SNPs, resulted in 46 SNPs (92.00%) showed polymorphism between the maize inbred lines 1212 and B73. Moreover, these 46 polymorphic SNPs were utilized to genotype the other 20 maize inbred lines, with all 46 SNPs showing polymorphism in the 20 maize inbred lines, and the PIC value of each SNP was 0.11 to 0.50 with an average of 0.35. The results suggested that the KASP SNP markers developed in this study were accurate and polymorphic. Conclusions These high-density polymorphic KASP SNP markers will be a valuable resource for map-based cloning of QTL/genes and marker-assisted selection in maize. Furthermore, the method used to develop SNP markers in maize can also be applied in other species.

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