QTL MAPPING FOR DISEASE RESISTANCE AND FRUIT QUALITY IN GRAPE

2003 ◽  
pp. 527-533 ◽  
Author(s):  
Rosanna Marino ◽  
Federica Sevini ◽  
Alberto Madini ◽  
Antonella Vecchione ◽  
Ilaria Pertot ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Qtl Mapping ◽  
Fruit Quality

scholarly journals QTL Mapping of Fruit and Seed-related Traits in Watermelon Using Genotyping-by-Sequencing-based High-density Linkage Mapping

2020 ◽  
Author(s):  
Meiling Gao ◽  
Xiaoxue Liang ◽  
Xiujie Liu ◽  
Yu Guo ◽  
Hongguo Xu ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Seed Size ◽  
Fruit Quality ◽  
Linkage Mapping ◽  
Genotyping By Sequencing ◽  
Fruit Shape ◽  
High Density ◽  
Chromosome 2 ◽  
Phenotypic Data ◽  
Stripe Pattern

Abstract BackgroundWatermelon is an important vegetable crop with dual use of both fruit and seeds. Understanding the genetic basis of fruit quality and seed size-related traits is important for efficient marker-assisted breeding in watermelon. Linkage mapping in watermelon segregating populations using genotyping-by-sequencing (GBS) provides insights into genetic control of fruit- and seed-related traits and genome collinearity in commercial watermelon cultivars. ResultsIn the present study, we conducted QTL mapping of 12 horticulturally important traits on external and internal fruit quality and seed size/weight using segregating populations derived a cross between two commercial varieties. A high-density genetic map was developed with GBS which contained more than 6,000 SNP loci in 1,004 bins with a total map length of 1261.1 cM and average marker interval of 1.26 cM or 329 kb. Phenotypic data of fruit rind color (RC), rind stripe pattern (RSP), flesh color (FFC), fruit diameter (FD), fruit length (FL), fruit shape index (FSI), fruit weight (FW), Brix content central (BCC), Brix content edge (BCE), seed length (SL), width (SW), and weight (20SWT) were collected from two locations in two years. QTL analysis identified 47 QTL for the 12 traits, of which 24 had moderate- or major-effects, and 34 were novel QTL not identified in previous studies. The QTL for RSP were identified overlapped with previous reports, and mapped the QTL to a small interval on chromosome 6. From the detected novel QTL, we identify FD (qfd2.1), FL (qfl2.1) co-located with FSI (qfsi2.1) QTL on chromosome 2, and the minor QTL qfw3.2 co-located with previously reported fruit shape QTL (qfd3.1, qfl3.1, qfsi3.1), and SW (qsw10.1) co-located with 20SWT QTL (q20swt10.1) on chromosome 10, and 5 minor QTL (qbcc2.1, qbcc5.1, qbce2.1, qbce2.2, qbce5.1) were found to be likely new locus for Brix content.ConclusionWe conducted GBS consisting of 120 F2 individuals and developed a high-density linkage map with more than 6,000 SNP loci in 1004 bins in watermelon. We identified 47 QTL for 12 fruit and seed related traits including 34 novel QTL. Our work expands the molecular breeding toolbox for watermelon to improve the yield and fruit quality.

scholarly journals Frontiers in Dissecting and Managing Brassica Diseases: From Reference-Based RGA Candidate Identification to Building Pan-RGAomes

2020 ◽  
Vol 21 (23) ◽  
pp. 8964
Author(s):  
Yueqi Zhang ◽  
William Thomas ◽  
Philipp E. Bayer ◽  
David Edwards ◽  
Jacqueline Batley
Keyword(s):  
Disease Resistance ◽  
Qtl Mapping ◽  
Resistance Gene ◽  
Crop Improvement ◽  
Structural Variations ◽  
Viral Pathogens ◽  
Brassica Genome ◽  
Whole Genome Resequencing ◽  
Genome Assemblies ◽  
Candidate Identification

The Brassica genus contains abundant economically important vegetable and oilseed crops, which are under threat of diseases caused by fungal, bacterial and viral pathogens. Resistance gene analogues (RGAs) are associated with quantitative and qualitative disease resistance and the identification of candidate RGAs associated with disease resistance is crucial for understanding the mechanism and management of diseases through breeding. The availability of Brassica genome assemblies has greatly facilitated reference-based quantitative trait loci (QTL) mapping for disease resistance. In addition, pangenomes, which characterise both core and variable genes, have been constructed for B. rapa, B. oleracea and B. napus. Genome-wide characterisation of RGAs using conserved domains and motifs in reference genomes and pangenomes reveals their clustered arrangements and presence of structural variations. Here, we comprehensively review RGA identification in important Brassica genome and pangenome assemblies. Comparison of the RGAs in QTL between resistant and susceptible individuals allows for efficient identification of candidate disease resistance genes. However, the reference-based QTL mapping and RGA candidate identification approach is restricted by the under-represented RGA diversity characterised in the limited number of Brassica assemblies. The species-wide repertoire of RGAs make up the pan-resistance gene analogue genome (pan-RGAome). Building a pan-RGAome, through either whole genome resequencing or resistance gene enrichment sequencing, would effectively capture RGA diversity, greatly expanding breeding resources that can be utilised for crop improvement.

APPLE BREEDING FOR HIGH FRUIT QUALITY AND DURABLE DISEASE RESISTANCE

2004 ◽  
pp. 751-756 ◽  
Author(s):  
M. Kellerhals ◽  
C. Sauer ◽  
B. Guggenbuehl ◽  
S. Gantner ◽  
B. Frey ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Fruit Quality ◽  
Apple Breeding ◽  
Durable Disease Resistance

scholarly journals Tomato breeding for disease resistance

2020 ◽  
Vol 3 (3) ◽  
pp. 8-16
Author(s):  
Gabriella Queiroz De Almeida ◽  
Juliana de Oliveira Silva ◽  
Mariane Gonçalves Ferreira Copati ◽  
Felipe de Oliveira Dias ◽  
Manoel Coelho dos Santos
Keyword(s):  
Disease Resistance ◽  
Disease Management ◽  
Late Blight ◽  
Fruit Quality ◽  
Genetic Resistance ◽  
Black Spot ◽  
Breeding Programs ◽  
Tomato Production ◽  
Genetic Breeding ◽  
Tomato Breeding

In the genetic breeding of tomatoes, not only productivity, but also factors related to fruit quality and pest and disease management are taken into account. In this context, diseases stand out, since they are the main bottlenecks for successful cultivation. Currently, the search for more sustainable crops has demanded from producers’ alternatives to disease control to reduce the use of pesticides. Among the diseases that most reduce tomato production in Brazil, whether for table or industry, we can mention late blight, black spot, fusarium wilt, viruses, bacterial and nematode diseases. Genetic resistance, obtained by genetic breeding programs, is one of the best tools to deal with diseases to depend less on pesticides. Thus, this review aims to provide an overview of tomato breeding programs in terms of resistance to the main diseases that affect this crop.

scholarly journals Genotype-Dependent Recruitment of the Strawberry Holobiome

2020 ◽  
Author(s):  
Antonio Cellini ◽  
Daniela Sangiorgio ◽  
Irene Donati ◽  
Erika Ferrari ◽  
Benjawan Tanunchai ◽  
...  
Keyword(s):  
Biological Control ◽  
Disease Resistance ◽  
Microbial Communities ◽  
Fruit Quality ◽  
Nutrient Content ◽  
Quality Parameters ◽  
Mineral Nutrient ◽  
Economic Losses ◽  
Core Microbiome ◽  
Plant Organs

Abstract BackgroundCultivated strawberry (Fragaria × ananassa Duch., fam. Rosaceae) is an important fruit crop, greatly appreciated for its aroma and nutraceutical properties. Niche-specific characterisation of plant microbiome, from rhizosphere to aboveground plant organs, is crucial to understand the influence of structure and function of the microbial communities on plant phenotype, performances and disease resistance. Strawberry cultivation is challenged by a large variety of pathogens, which cause substantial economic losses and require the frequent application of pesticides. Biological control is a promising and safer alternative to the use of xenobiotic pesticides. Biological control agents isolated from the microbiome of the host plant may have a superior efficacy in comparison to non-indigenous microbial inoculants. Therefore, the characterization of the native microbiome along different plant compartments is a key step for the successful microbial manipulation in farmlands. Results Here, we provide the first comprehensive description of the soil, rhizosphere, root and aerial parts microbiome of three commercially important strawberry cultivars (‘Darselect’, ‘Elsanta’ and ‘Monterey’) under cultural conditions. The fungal and bacterial microbiomes were functionally characterised to investigate their influence on plant disease tolerance, plant mineral nutrient content and fruit quality. The core microbiome included 24 bacteria and 15 fungal operative taxon units which were present in all compartments and plant genotypes. However, both plant organ and genotype had a significant role in assembling the microbial communities. The microbial community assemblage across different soil and plant compartments significantly correlated with disease resistance, mineral nutrient content in the plant and with fruit quality parameters. Interestingly, only the disease tolerant genotype ‘Monterey’ was able to recruit Pseudomonas fluorescens in all plant organs and to establish symbiosis with the arbuscular mycorrhiza Rhizophagus irregularis. These two species include several strains acting as pathogen biocontrol agents, plant growth promoters and plant defence inducers. Conclusions Altogether, our study provides the first comprehensive view of strawberry microbiome in relation to plant genotype, health and nutritional status and fruit quality parameters, shedding light on potential practical applications to increase the sustainability of crop production.

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