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Systems genetics reveals a transcriptional network associated with susceptibility in the maize-grey leaf spot pathosystem

(2017) PLANT JOURNAL. 89(4). p.746-763
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Bioinformatics: from nucleotids to networks (N2N)
Abstract
We used a systems genetics approach to elucidate the molecular mechanisms of the responses of maize to grey leaf spot (GLS) disease caused by Cercosporazeina, a threat to maize production globally. Expression analysis of earleaf samples in a subtropical maize recombinant inbred line population (CML444xSC Malawi) subjected in the field to C. zeina infection allowed detection of 20206 expression quantitative trait loci (eQTLs). Four trans-eQTL hotspots coincided with GLS disease QTLs mapped in the same field experiment. Co-expression network analysis identified three expression modules correlated with GLS disease scores. The module (GY-s) most highly correlated with susceptibility (r=0.71; 179 genes) was enriched for the glyoxylate pathway, lipid metabolism, diterpenoid biosynthesis and responses to pathogen molecules such as chitin. The GY-s module was enriched for genes with trans-eQTLs in hotspots on chromosomes 9 and 10, which also coincided with phenotypic QTLs for susceptibility to GLS. This transcriptional network has significant overlap with the GLS susceptibility response of maize line B73, and may reflect pathogen manipulation for nutrient acquisition and/or unsuccessful defence responses, such as kauralexin production by the diterpenoid biosynthesis pathway. The co-expression module that correlated best with resistance (TQ-r; 1498 genes) was enriched for genes with trans-eQTLs in hotspots coinciding with GLS resistance QTLs on chromosome 9. Jasmonate responses were implicated in resistance to GLS through co-expression of COI1 and enrichment of genes with the Gene Ontology term cullin-RING ubiquitin ligase complex' in the TQ-r module. Consistent with this, JAZ repressor expression was highly correlated with the severity of GLS disease in the GY-s susceptibility network.
Keywords
Cercospora zeina, Zea mays, grey leaf spot, gray leaf spot, expression quantitative trait loci, co-expression, disease resistance, quantitative trait loci, disease susceptibility, Cercospora, QUANTITATIVE TRAIT LOCI, COMPLETE PENETRATION RESISTANCE, INBRED LINE POPULATION, CERCOSPORA-ZEAE-MAYDIS, DISEASE RESISTANCE, CANDIDATE GENES, LEVEL VARIATION, PLANT IMMUNITY, POWDERY MILDEW, EQTL ANALYSIS

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Citation

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Chicago
Christie, Nanette, Alexander A Myburg, Fourie Joubert, Shane L Murray, Maryke Carstens, Yao-Cheng Lin, Jacqueline Meyer, et al. 2017. “Systems Genetics Reveals a Transcriptional Network Associated with Susceptibility in the Maize-grey Leaf Spot Pathosystem.” Plant Journal 89 (4): 746–763.
APA
Christie, Nanette, Myburg, A. A., Joubert, F., Murray, S. L., Carstens, M., Lin, Y.-C., Meyer, J., et al. (2017). Systems genetics reveals a transcriptional network associated with susceptibility in the maize-grey leaf spot pathosystem. PLANT JOURNAL, 89(4), 746–763.
Vancouver
1.
Christie N, Myburg AA, Joubert F, Murray SL, Carstens M, Lin Y-C, et al. Systems genetics reveals a transcriptional network associated with susceptibility in the maize-grey leaf spot pathosystem. PLANT JOURNAL. 2017;89(4):746–63.
MLA
Christie, Nanette, Alexander A Myburg, Fourie Joubert, et al. “Systems Genetics Reveals a Transcriptional Network Associated with Susceptibility in the Maize-grey Leaf Spot Pathosystem.” PLANT JOURNAL 89.4 (2017): 746–763. Print.
@article{8518197,
  abstract     = {We used a systems genetics approach to elucidate the molecular mechanisms of the responses of maize to grey leaf spot (GLS) disease caused by Cercosporazeina, a threat to maize production globally. Expression analysis of earleaf samples in a subtropical maize recombinant inbred line population (CML444xSC Malawi) subjected in the field to C. zeina infection allowed detection of 20206 expression quantitative trait loci (eQTLs). Four trans-eQTL hotspots coincided with GLS disease QTLs mapped in the same field experiment. Co-expression network analysis identified three expression modules correlated with GLS disease scores. The module (GY-s) most highly correlated with susceptibility (r=0.71; 179 genes) was enriched for the glyoxylate pathway, lipid metabolism, diterpenoid biosynthesis and responses to pathogen molecules such as chitin. The GY-s module was enriched for genes with trans-eQTLs in hotspots on chromosomes 9 and 10, which also coincided with phenotypic QTLs for susceptibility to GLS. This transcriptional network has significant overlap with the GLS susceptibility response of maize line B73, and may reflect pathogen manipulation for nutrient acquisition and/or unsuccessful defence responses, such as kauralexin production by the diterpenoid biosynthesis pathway. The co-expression module that correlated best with resistance (TQ-r; 1498 genes) was enriched for genes with trans-eQTLs in hotspots coinciding with GLS resistance QTLs on chromosome 9. Jasmonate responses were implicated in resistance to GLS through co-expression of COI1 and enrichment of genes with the Gene Ontology term cullin-RING ubiquitin ligase complex' in the TQ-r module. Consistent with this, JAZ repressor expression was highly correlated with the severity of GLS disease in the GY-s susceptibility network.},
  author       = {Christie, Nanette and Myburg, Alexander A and Joubert, Fourie and Murray, Shane L and Carstens, Maryke and Lin, Yao-Cheng and Meyer, Jacqueline and Crampton, Bridget G and Christensen, Shawn A and Ntuli, Jean F and Wighard, Sara S and Van de Peer, Yves and Berger, Dave K},
  issn         = {0960-7412},
  journal      = {PLANT JOURNAL},
  keyword      = {Cercospora zeina,Zea mays,grey leaf spot,gray leaf spot,expression quantitative trait loci,co-expression,disease resistance,quantitative trait loci,disease susceptibility,Cercospora,QUANTITATIVE TRAIT LOCI,COMPLETE PENETRATION RESISTANCE,INBRED LINE POPULATION,CERCOSPORA-ZEAE-MAYDIS,DISEASE RESISTANCE,CANDIDATE GENES,LEVEL VARIATION,PLANT IMMUNITY,POWDERY MILDEW,EQTL ANALYSIS},
  language     = {eng},
  number       = {4},
  pages        = {746--763},
  title        = {Systems genetics reveals a transcriptional network associated with susceptibility in the maize-grey leaf spot pathosystem},
  url          = {http://dx.doi.org/10.1111/tpj.13419},
  volume       = {89},
  year         = {2017},
}

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