2008
DOI: 10.1093/mp/ssn039
|View full text |Cite
|
Sign up to set email alerts
|

Isolation and Manipulation of Quantitative Trait Loci for Disease Resistance in Rice Using a Candidate Gene Approach

Abstract: Bacterial blight caused by Xanthomonas oryzae pv. oryzae and fungal blast caused by Magnaporthe grisea result in heavy production losses in rice, a main staple food for approximately 50% of the world's population. Application of host resistance to these pathogens is the most economical and environment-friendly approach to solve this problem. Quantitative trait loci (QTLs) controlling quantitative resistance are valuable sources for broad-spectrum and durable disease resistance. Although large numbers of QTLs f… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
62
0

Year Published

2009
2009
2024
2024

Publication Types

Select...
4
4
1

Relationship

0
9

Authors

Journals

citations
Cited by 86 publications
(65 citation statements)
references
References 59 publications
3
62
0
Order By: Relevance
“…Cloning such QTL via fine mapping may be unlikely, but the application of bioinformatics (such as meta-analysis, comparative genomics, and haplotype association mapping) and/or transcriptomics to narrow QTL/QTG (quantitative trait genes) without fine mapping seems promising (Price 2006;Burgess-Herbert et al 2008;Norton et al 2008). Recently, four minor QTL for disease resistance in rice, each explaining ,5% of the phenotypic variation, have been isolated successfully by a strategy involving candidate genes that integrated expression profiling, bioinformatics, and functional complementation analysis (Hu et al 2008). In other words, a minor QTL might be a major QTL if the variability of the parental alleles is sufficiently large and/or the environment allows the induction of differential expression of the two alleles.…”
Section: Discussionmentioning
confidence: 99%
“…Cloning such QTL via fine mapping may be unlikely, but the application of bioinformatics (such as meta-analysis, comparative genomics, and haplotype association mapping) and/or transcriptomics to narrow QTL/QTG (quantitative trait genes) without fine mapping seems promising (Price 2006;Burgess-Herbert et al 2008;Norton et al 2008). Recently, four minor QTL for disease resistance in rice, each explaining ,5% of the phenotypic variation, have been isolated successfully by a strategy involving candidate genes that integrated expression profiling, bioinformatics, and functional complementation analysis (Hu et al 2008). In other words, a minor QTL might be a major QTL if the variability of the parental alleles is sufficiently large and/or the environment allows the induction of differential expression of the two alleles.…”
Section: Discussionmentioning
confidence: 99%
“…The OsBBI1 gene (Os06g03580) is located in a region of chromosome 6, in which a number of blast resistance QTLs have been identified [52][53][54][55]. The features of Os-BBI1-mediated basal and partial resistance suggest that OsBBI1 might be a QTL against M. oryzae, such as other rice defence genes [56].…”
Section: Discussionmentioning
confidence: 99%
“…According to an analysis using the strategy of validation and functional analysis of the QTL (Hu et al, 2008), we argue that C3H12 contributes to a minor resistance QTL against Xoo. This inference can be supported by the following evidence.…”
Section: C3h12 Confers Quantitative Resistancementioning
confidence: 99%
“…Although a large number of resistance QTLs have been identified, only a limited number of QTLs have been characterized recently, because of the genetic complexity of this type of resistance (Hayashi et al, 2010;Fu et al, 2011). A strategy of validation and functional analysis of the QTLs has been established to characterize resistance QTLs in rice; this strategy integrates the linkage map, expression profile, functional complementation analysis, and allele comparison and has provided the approach to characterize the genes underlying minor resistance QTLs (Hu et al, 2008;Kou and Wang, 2012).…”
mentioning
confidence: 99%