Cloning southern corn rust resistant gene RppK and its cognate gene AvrRppK from Puccinia polysora

Chen, Gengshen; Zhang, Bao; Ding, Junqiang; Wang, Hongze; Deng, Ce; Wang, Jiali; Yang, Qianhui; Pi, Qianyu; Zhang, Ruyang; Zhai, Haoyu; Dong, Junfei; Huang, Junshi; Hou, Jiabao; Wu, Junhua; Que, Jiamin; Zhang, Fan; Li, Wenqiang; Min, Haoxuan; Tabor, Girma; Li, Bailin; Zhao, Jiuran; Yan, Jianbing; Lai, Zhibing

doi:10.1038/s41467-022-32026-4

Cited by 35 publications

(32 citation statements)

References 74 publications

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“…In the hybrid panel, three candidate loci were detected by association analysis with additive and dominant coding ( Figures 3C, E and Table 3 ), two of them were different, which suggested that the dominant effect is also very important in the breeding of rust-resistant hybrids. In all association analyses for 2 populations, a highly significant locus was detected on chromosome 10, which tight chained with the known SCR resistance gene RppC ( Deng et al., 2022 ) and other reported QTL, including RppQ ( Chen et al., 2004 ), RppD ( Zhang et al., 2009 ), RppS/RppK ( Wu et al., 2015 ; Chen et al., 2022 ), RppM ( Wang et al., 2020 ). The stability and significant effect of this loci suggested that MAS can be used to fix this region to the germplasm in the breeding process.…”

Section: Discussionmentioning

confidence: 76%

“…It is noteworthy that Rpp9 is closely linked, with a genetic distance of 1.5 cM, to a common rust resistance gene rp1 , but its genomic location had not been confirmed ( Ullstrup, 1965 ). In recent years, more resistance loci on chromosome 10 have been detected, including RppP25 ( Liu et al., 2003 ), RppQ ( Chen et al., 2004 ), RppD ( Zhang et al., 2009 ), RppC ( Yao et al., 2013 ), Rpp12 ( Zhang, 2013 ), RppS ( Wu et al., 2015 ), RppM ( Wang et al., 2020 ), qSCR6.01 ( Lu et al., 2020 ), RppCML496 ( Lv et al., 2021 ), RppK ( Chen et al., 2022 ).…”

Section: Introductionmentioning

confidence: 99%

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Genome-wide association and genomic prediction for resistance to southern corn rust in DH and testcross populations

Cheng²,

Guo³

et al. 2023

Front. Plant Sci.

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Southern corn rust (SCR), caused by Puccinia polysora Underw, is a destructive disease that can severely reduce grain yield in maize (Zea mays L.). Owing to P. polysora being multi-racial, it is very important to explore more resistance genes and develop more efficient selection approaches in maize breeding programs. Here, four Doubled Haploid (DH) populations with 384 accessions originated from selected parents and their 903 testcross hybrids were used to perform genome-wide association (GWAS). Three GWAS processes included the additive model in the DH panel, additive and dominant models in the hybrid panel. As a result, five loci were detected on chromosomes 1, 7, 8, 8, and 10, with P-values ranging from 4.83×10-7 to 2.46×10-41. In all association analyses, a highly significant locus on chromosome 10 was detected, which was tight chained with the known SCR resistance gene RPPC and RPPK. Genomic prediction (GP), has been proven to be effective in plant breeding. In our study, several models were performed to explore predictive ability in hybrid populations for SCR resistance, including extended GBLUP with different genetic matrices, maker based prediction models, and mixed models with QTL as fixed factors. For GBLUP models, the prediction accuracies ranged from 0.56-0.60. Compared with traditional prediction only with additive effect, prediction ability was significantly improved by adding additive-by-additive effect (P-value< 0.05). For maker based models, the accuracy of BayesA and BayesB was 0.65, 8% higher than other models (i.e., RRBLUP, BRR, BL, BayesC). Finally, by adding QTL into the mixed linear prediction model, the accuracy can be further improved to 0.67, especially for the G_A model, the prediction performance can be increased by 11.67%. The prediction accuracy of the BayesB model can be further improved significantly by adding QTL information (P-value< 0.05). This study will provide important valuable information for understanding the genetic architecture and the application of GP for SCR in maize breeding.

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Section: Discussionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Genome-wide association and genomic prediction for resistance to southern corn rust in DH and testcross populations

Cheng²,

Guo³

et al. 2023

Front. Plant Sci.

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“…S8). The firefly Luciferase (LUC) reporter gene system has been a powerful tool to monitor the cell viability through quantifying the fluorescence activity in many studies [ 47 – 50 ]. Here, we also co-expressed the candidate proteins and LUC to perform the cell death assay.…”

Section: Resultsmentioning

confidence: 99%

Genome-wide association analysis reveals a novel pathway mediated by a dual-TIR domain protein for pathogen resistance in cotton

Zhang

et al. 2023

Genome Biol

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Background Verticillium wilt is one of the most devasting diseases for many plants, leading to global economic loss. Cotton is known to be vulnerable to its fungal pathogen, Verticillium dahliae, yet the related genetic mechanism remains unknown. Results By genome-wide association studies of 419 accessions of the upland cotton, Gossypium hirsutum, we identify ten loci that are associated with resistance against Verticillium wilt. Among these loci, SHZDI1/SHZDP2/AYDP1 from chromosome A10 is located on a fragment introgressed from Gossypium arboreum. We characterize a large cluster of Toll/interleukin 1 (TIR) nucleotide-binding leucine-rich repeat receptors in this fragment. We then identify a dual-TIR domain gene from this cluster, GhRVD1, which triggers an effector-independent cell death and is induced by Verticillium dahliae. We confirm that GhRVD1 is one of the causal gene for SHZDI1. Allelic variation in the TIR domain attenuates GhRVD1-mediated resistance against Verticillium dahliae. Homodimerization between TIR1-TIR2 mediates rapid immune response, while disruption of its αD- and αE-helices interface eliminates the autoactivity and self-association of TIR1-TIR2. We further demonstrate that GhTIRP1 inhibits the autoactivity and self-association of TIR1-TIR2 by competing for binding to them, thereby preventing the resistance to Verticillium dahliae. Conclusions We propose the first working model for TIRP1 involved self-association and autoactivity of dual-TIR domain proteins that confer compromised pathogen resistance of dual-TIR domain proteins in plants. The findings reveal a novel mechanism on Verticillium dahliae resistance and provide genetic basis for breeding in future.

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“…In maize, several resistance QTLs were detected in two resistant lines CML496 and K22 against southern corn rust (SCR). Two major QTLs, RppCML496 and RppK , accounted for 43–78% and 68% of phenotypic variation, respectively (Lv et al, 2021; Chen et al, 2022; Deng et al, 2022). Further studies have indicated that the causative genes RppC and RppK of these two major QTLs encode NLR proteins.…”

Section: Nlr‐conferred Qdrmentioning

confidence: 99%

“…Further studies have indicated that the causative genes RppC and RppK of these two major QTLs encode NLR proteins. RppC and RppK could perceive their cognate effectors AvrRppC and AvrRppK, respectively, to elicit defense responses (Chen et al, 2022; Deng et al, 2022), and the genetic variation of AvrRppC determines RppC resistance against SCR (Deng et al, 2022). In addition, the maize NLR gene Rcg1 confers QDR to anthracnose stalk rot in maize (Broglie et al, 2006).…”

Section: Nlr‐conferred Qdrmentioning

confidence: 99%

Quantitative disease resistance: Multifaceted players in plant defense

Gou

Balint‐Kurti

et al. 2023

JIPB

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In contrast to large‐effect qualitative disease resistance, quantitative disease resistance (QDR) exhibits partial and generally durable resistance and has been extensively utilized in crop breeding. The molecular mechanisms underlying QDR remain largely unknown but considerable progress has been made in this area in recent years. In this review, we summarize the genes that have been associated with plant QDR and their biological functions. Many QDR genes belong to the canonical resistance gene categories with predicted functions in pathogen perception, signal transduction, phytohormone homeostasis, metabolite transport and biosynthesis, and epigenetic regulation. However, other “atypical” QDR genes are predicted to be involved in processes that are not commonly associated with disease resistance, such as vesicle trafficking, molecular chaperones, and others. This diversity of function for QDR genes contrasts with qualitative resistance, which is often based on the actions of nucleotide‐binding leucine‐rich repeat (NLR) resistance proteins. An understanding of the diversity of QDR mechanisms and of which mechanisms are effective against which classes of pathogens will enable the more effective deployment of QDR to produce more durably resistant, resilient crops.

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Cloning southern corn rust resistant gene RppK and its cognate gene AvrRppK from Puccinia polysora

Cited by 35 publications

References 74 publications

Genome-wide association and genomic prediction for resistance to southern corn rust in DH and testcross populations

Genome-wide association and genomic prediction for resistance to southern corn rust in DH and testcross populations

Genome-wide association analysis reveals a novel pathway mediated by a dual-TIR domain protein for pathogen resistance in cotton

Quantitative disease resistance: Multifaceted players in plant defense

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