ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2003
Cloning and characterization of receptor kinase class disease resistance gene candidates in Citrus.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
- Genome-Wide Analysis and Evolution of the Pto-Like Protein Kinase (PLPK) Gene Family in Pepper.PloS one · 2016Article
- Kinase domain-targeted isolation of defense-related receptor-like kinases (RLK/Pelle) in Platanus×acerifolia: phylogenetic and structural analysis.BMC research notes · 2014Article
- Ectopic expression of a novel Ser/Thr protein kinase from cotton (Gossypium barbadense), enhances resistance to Verticillium dahliae infection and oxidative stress in Arabidopsis.Plant cell reports · 2013Article
- Article
- Cloning and phylogenetic analyses of serine/threonine kinase class defense-related genes in a wild fruit crop 'chestnut rose'.BMC research notes · 2010Article
- Physical mapping, expression analysis and polymorphism survey of resistance gene analogues on chromosome 11 of rice.Journal of biosciences · 2009Article
- Citrus genomics.International journal of plant genomics · 2008Article
- Isolation, characterization and expression studies of resistance gene candidates (RGCs) from Zingiber spp.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2007Article
- Identification and mapping of resistance gene analogs (RGAs) in Prunus: a resistance map for Prunus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2005Article
- Isolation and mapping of resistance gene analogs from the Avena strigosa genome.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2004Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rice gene Xa21 represents a unique class of plant disease resistance ( R) genes with distinct protein structure and broad-spectrum specificity; few sequences or genes of this class have been cloned and characterized in other plant species. Degenerate primers were designed from the conserved motifs in the kinase domains of Xa21 and tomato Pto, and used in PCR amplification to identify this class of resistance gene candidate (RGC) sequences from citrus for future evaluation of possible association with citrus canker resistance. Twenty-nine RGC sequences highly similar to the kinase domain of Xa21 (55%-60% amino-acid identity) were cloned and characterized. To facilitate recovery of full-length gene structures and to overcome RGC mapping limitations, large-insert genomic clones (BACs) were identified, fingerprinted and assembled into contigs. Southern hybridization revealed the presence of 1-3 copies of receptor-like kinase sequences (i.e., clustering) in each BAC. Some of these sequences were sampled by PCR amplification and direct sequencing. Twenty-three sequences were thus obtained and classified into five groups and eight subgroups, which indicates the possibility of enhancing RGC sequence diversity from BACs. A primer-walking strategy was employed to derive full-length gene structures from two BAC clones; both sequences 17o6RLK and 26m19RLK contained all the features of the rice Xa21 protein, including a signal peptide, the same number of leucine-rich-repeats, and transmembrane and kinase domains. These results demonstrate that PCR amplification with appropriately designed degenerate primers is an efficient approach for cloning receptor-like kinase class RGCs. Utilization of BAC clones can facilitate this approach in multiple ways by improving sequence diversity, providing full-length genes, and assisting in understanding gene structures and distribution.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.