scholarly journals Mapping and validation of quantitative trait loci that confer resistance to rice black-streaked dwarf virus disease in rice (Oryza sativa)

2020 ◽  
Author(s):  
honggen zhang ◽  
Ruixuan Wang ◽  
Zuopeng Xu ◽  
Jiangning Liu ◽  
Guofang Lan ◽  
...  

Abstract Background: Rice black-streaked dwarf virus (RBSDV) disease is one of the most destructive viral diseases that threatens rice production in China. Breeding of resistant cultivars through multi-gene pyramiding is considered to be an effective way to control the disease, but few resistance genes have been characterized to date.Results; In the present study, we identified T1012, a BC2F6 line from a cross of the japonica variety ‘Wuyujing3’ (recipient) and the indica variety ‘Dular’ (donor), that had improved resistance to RBSDV disease in a field test, and 140 chromosome segment substitution lines (CSSLs) derived from a cross of between T1012 and ‘Wuyujing3’ were developed using marker-assisted selection. Genetic analysis showed that the resistance of T1012 to RBSDV disease was controlled by quantitative trait loci (QTLs). Two QTLs for RBSDV disease resistance located on chromosomes 1 and 4, qRBSDV-1 and qRBSDV-4, were identified, and qRBSDV-4 was repeatedly detected in two environments. Compared to ‘Wuyujing3’, the CSSL containing only the substitution segment covering qRBSDV-4 exhibited significantly decreased disease incidence, indicating that qRBSDV-4 is a reliable resistance QTL with a high breeding value. Furthermore, two linked QTLs, qRBSDV-4-1 and qRBSDV-4-2, were identified within the interval containing qRBSDV-4.Conclusions: The QTLs identified here will provide a useful resource for breeding RBSDV-resistant rice cultivars through marker-assisted selection and establish a foundation for the cloning of RBSDV disease resistance genes.

2015 ◽  
Vol 3 (1) ◽  
pp. 39-46 ◽  
Author(s):  
Myon-Gi Hong ◽  
Kil-Hyun Kim ◽  
Ja-Hwan Ku ◽  
Jin-Kyo Jeong ◽  
Min-Jung Seo ◽  
...  

Plants ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 829
Author(s):  
Tally I.C. Wright ◽  
Angela C. Burnett ◽  
Howard Griffiths ◽  
Maxime Kadner ◽  
James S. Powell ◽  
...  

Tetraploid landraces of wheat harbour genetic diversity that could be introgressed into modern bread wheat with the aid of marker-assisted selection to address the genetic diversity bottleneck in the breeding genepool. A novel bi-parental Triticum turgidum ssp. dicoccum Schrank mapping population was created from a cross between two landrace accessions differing for multiple physiological traits. The population was phenotyped for traits hypothesised to be proxies for characteristics associated with improved photosynthesis or drought tolerance, including flowering time, awn length, flag leaf length and width, and stomatal and trichome density. The mapping individuals and parents were genotyped with the 35K Wheat Breeders’ single nucleotide polymorphism (SNP) array. A genetic linkage map was constructed from 104 F4 individuals, consisting of 2066 SNPs with a total length of 3295 cM and an average spacing of 1.6 cM. Using the population, 10 quantitative trait loci (QTLs) for five traits were identified in two years of trials. Three consistent QTLs were identified over both trials for awn length, flowering time and flag leaf width, on chromosomes 4A, 7B and 5B, respectively. The awn length and flowering time QTLs correspond with the major loci Hd and Vrn-B3, respectively. The identified marker-trait associations could be developed for marker-assisted selection, to aid the introgression of diversity from a tetraploid source into modern wheat for potential physiological trait improvement.


2005 ◽  
Vol 95 (5) ◽  
pp. 556-565 ◽  
Author(s):  
L. Perchepied ◽  
M. Bardin ◽  
C. Dogimont ◽  
M. Pitrat

Partial resistance to downy mildew (Pseudoperonospora cubensis) and complete resistance to powdery mildew (Podosphaera xanthii races 1, 2, 3, and 5 and Golovinomyces cichoracearum race 1) were studied using a recombinant inbred line population between ‘PI 124112’ (resistant to both diseases) and ‘Védrantais’ (susceptible line). A genetic map of melon was constructed to tag these resistances with DNA markers. Natural and artificial inoculations of Pseudoperonospora cubensis were performed and replicated in several locations. One major quantitative trait loci (QTL), pcXII.1, was consistently detected among the locations and explained between 12 to 38% of the phenotypic variation for Pseudoperonospora cubensis resistance. Eight other Pseudoperonospora cubensis resistance QTL were identified. Artificial inoculations were performed with several strains of four races of Podosphaera xanthii and one race of G. cichoracearum. Two independent major genes, PmV.1 and PmXII.1, were identified and shown to be involved in the simple resistance to powdery mildew. Three digenic epistatic interactions involving four loci were detected for two races of Podosphaera xanthii and one race of G. cichoracearum. Co-localization between PmV.1, resistance genes, and resistance genes homologues was observed. Linkage between the major resistance QTL to Pseudoperonospora cubensis, pcXII.1, and one of the two resistance genes to powdery mildew, PmXII.1, was demonstrated.


2004 ◽  
Vol 94 (4) ◽  
pp. 370-379 ◽  
Author(s):  
F. Calenge ◽  
A. Faure ◽  
M. Goerre ◽  
C. Gebhardt ◽  
W. E. Van de Weg ◽  
...  

The major scab resistance gene Vf, extensively used in apple breeding programs, was recently overcome by the new races 6 and 7 of the fungal pathogen Venturia inaequalis. New, more durable, scab resistance genes are needed in apple breeding programs. F1 progeny derived from the cross between partially resistant apple cv. Discovery and apple hybrid ‘TN10-8’ were inoculated in the greenhouse with eight isolates of V. inaequalis, including isolates able to overcome Vf. One major resistance gene, Vg, and seven quantitative trait loci (QTL) were identified for resistance to these isolates. Three QTL on linkage group (LG)12, LG13, and LG15 were clearly isolate-specific. Another QTL on LG5 was detected with two isolates. Three QTL on LG1, LG2, and LG17 were identified with most isolates tested, but not with every isolate. The QTL on LG2 displayed alleles conferring different specificities. This QTL co-localized with the major scab resistance genes Vr and Vh8, whereas the QTL on LG1 colocalized with Vf. These results contribute to a better understanding of the genetic basis of the V. inaequalis-Malus × domestica interaction.


2009 ◽  
Vol 128 (5) ◽  
pp. 532-535 ◽  
Author(s):  
S. M. Mohan ◽  
R. Madhusudhana ◽  
K. Mathur ◽  
C. J. Howarth ◽  
G. Srinivas ◽  
...  

Crop Science ◽  
2002 ◽  
Vol 42 (1) ◽  
pp. 271-277 ◽  
Author(s):  
J. Yuan ◽  
V. N. Njiti ◽  
K. Meksem ◽  
M. J. Iqbal ◽  
K. Triwitayakorn ◽  
...  

2008 ◽  
Vol 21 (7) ◽  
pp. 859-868 ◽  
Author(s):  
Elsa Ballini ◽  
Jean-Benoît Morel ◽  
Gaétan Droc ◽  
Adam Price ◽  
Brigitte Courtois ◽  
...  

The completion of the genome sequences of both rice and Magnaporthe oryzae has strengthened the position of rice blast disease as a model to study plant–pathogen interactions in monocotyledons. Genetic studies of blast resistance in rice were established in Japan as early as 1917. Despite such long-term study, examples of cultivars with durable resistance are rare, partly due to our limited knowledge of resistance mechanisms. A rising number of blast resistance genes and quantitative trait loci (QTL) have been genetically described, and some have been characterized during the last 20 years. Using the rice genome sequence, can we now go a step further toward a better understanding of the genetics of blast resistance by combining all these results? Is such knowledge appropriate and sufficient to improve breeding for durable resistance? A review of bibliographic references identified 85 blast resistance genes and approximately 350 QTL, which we mapped on the rice genome. These data provide a useful update on blast resistance genes as well as new insights to help formulate hypotheses about the molecular function of blast QTL, with special emphasis on QTL for partial resistance. All these data are available from the OrygenesDB database.


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