2012
DOI: 10.1073/pnas.1208003109
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High-throughput genomic sequencing of cassava bacterial blight strains identifies conserved effectors to target for durable resistance

Abstract: Cassava bacterial blight (CBB), incited by Xanthomonas axonopodis pv. manihotis ( Xam ), is the most important bacterial disease of cassava, a staple food source for millions of people in developing countries. Here we present a widely applicable strategy for elucidating the virulence components of a pathogen population. We report Illumina-based draft genomes for 65 Xam strains and deduce the phylogenetic relatedness… Show more

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Cited by 131 publications
(132 citation statements)
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“…As no XacA* genome was publically available, De Novo assembly was conducted for the genome of XacA*270 (Supplementary Table S2) using previously described methodology (Jalan et al, 2011), and the two remaining XacA* strains were reference assembled based on the XacA*270 genome. The comparison of our reads and assemblies (Supplementary Table S3) with other published assemblies for Xanthomonas (Bart et al, 2012) indicated that our assemblies are of high quality. Assembly of all strains was annotated using the IMG/ER annotation pipeline and submitted to GenBank, the results for which are presented in Supplementary Table S1.…”
Section: Genomic Features Of Citrus Canker-causing Xac Strainsmentioning
confidence: 96%
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“…As no XacA* genome was publically available, De Novo assembly was conducted for the genome of XacA*270 (Supplementary Table S2) using previously described methodology (Jalan et al, 2011), and the two remaining XacA* strains were reference assembled based on the XacA*270 genome. The comparison of our reads and assemblies (Supplementary Table S3) with other published assemblies for Xanthomonas (Bart et al, 2012) indicated that our assemblies are of high quality. Assembly of all strains was annotated using the IMG/ER annotation pipeline and submitted to GenBank, the results for which are presented in Supplementary Table S1.…”
Section: Genomic Features Of Citrus Canker-causing Xac Strainsmentioning
confidence: 96%
“…Among all the effectors identified in the strains analyzed as previously described (Bart et al, 2012) ( Supplementary Table S5), 10 common effectors that were shared by all 25 strains were identified in the 2822 core genes. Although none of the 10 effectors was found to have been affected by intragenic recombination as suggested by single breakpoint method result, the maximum likelihood gene trees of all the 10 effectors were found to be incongruent with the maximum likelihood reference tree based on 2822 core genes revealed by ShimodairaHasegawa test (Po0.001; Table 2) (Shimodaira and Hasegawa, 1999).…”
Section: Phylogenetic Analysis Of Citrus Canker-causing Xanthomonasmentioning
confidence: 99%
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“…Next-generation sequencing has made it possible to rapidly analyze pathogen strains from the field for their type III effector repertoires and other virulence components (Baltrus et al 2011;Bart et al 2012). The draft genome sequences of Pst A9 and 407 provide insight into how these field strains can overcome R-gene-mediated resistance in tomato conferred by Pto and Prf (Pedley and Martin 2003).…”
Section: Bacterial Strains and Sequencingmentioning
confidence: 99%
“…This is especially powerful as it also allows screening for recognition specificities in plant species that are not hosts for the pathogen for which recognition is sought. Moreover, an effectoromics strategy allows combination with pathogenomics strategies to select the potentially most widespread or invariant effectors to, once identified and deployed, maximize durability of the recognition specificity (Bart et al, 2012). However, the subsequent cloning of immune receptor genes is typically laborious and slow, but functional genomic approaches based on NLR gene enrichment and sequencing (RenSeq), especially when combined with long-read sequencing, can accelerate mapping of functional NLRs in crop plants (Jupe et al, 2013;Witek et al, 2016), as well as in wild relatives (Stam et al, 2016).…”
Section: Future Engineering Of Disease Resistance In Crops Through Thmentioning
confidence: 99%