Functional & Integrative Genomics

, Volume 11, Issue 1, pp 95–102 | Cite as

Quantitative trait loci conferring resistance to Fusarium head blight in barley respond differentially to Fusarium graminearum infection

  • Haiyan Jia
  • Benjamin P. Millett
  • Seungho Cho
  • Hatice Bilgic
  • Wayne W. Xu
  • Kevin P. Smith
  • Gary J. MuehlbauerEmail author
Original Paper


Fusarium head blight (FHB), primarily caused by Fusarium graminearum, reduces grain yield and quality in barley. Resistance to FHB is partial and quantitatively inherited. Previously, major FHB resistant QTL were detected on barley chromosome 2H Bin 8 and 2H Bin 10, and another QTL for reduced deoxynivalenol (DON) accumulation was identified on chromosome 3H Bin 6. To develop an understanding of the molecular responses controlled by these loci, we examined DON and fungal biomass levels and the transcriptome differences in near-isogenic line (NIL) pairs carrying contrasting resistant and susceptible alleles at these QTL during F. graminearum infection. No overlap was found among the differentially accumulated transcripts of the three NIL pairs, indicating that the response to infection controlled by the resistance alleles at each QTL may be distinct. Transcripts showing differential accumulation between resistant and susceptible NILs were compared to results from previous wheat/barley–F. graminearum studies and integrated into a wheat/barley–F. graminearum interaction model.


Barley Hordeum vulgare Fusarium head blight Near-isogenic line RNA profiling 



We would like to thank Dr. R. Dill-Macky for providing the F. graminearum inoculum and Dr. Y. Dong for conducting the mycotoxin and ergosterol assays. We thank Dr. Z. Tu at the Supercomputing Institute for bioinformatics assistance. This work was supported by grants from the U.S. Wheat and Barley Scab Initiative (USDA-ARS) and Minnesota Small Grains Initiative to G.J.M. and a College of Food, Agriculture and Natural Resources Sciences Graduate Student Fellowship and University of Minnesota Graduate School Doctoral Dissertation Fellowship to H.J.

Supplementary material

10142_2010_192_MOESM1_ESM.pdf (60 kb)
Supplementary Table 1 Transcripts that exhibited differential accumulation (P ≤ 0.0001; FDR ≤ 0.7%; ≥2.0 fold) between the resistant and susceptible genotypes in the 2Hb8 NIL pair after F. graminearum and water inoculation. (PDF 60 kb)
10142_2010_192_MOESM2_ESM.pdf (47 kb)
Supplementary 2 Transcripts that exhibited differential accumulation (P ≤ 0.0001; FDR ≤ 2%; ≥2.0 fold) between the resistant and susceptible genotypes in the 2Hb10 NIL pair after F. graminearum and water inoculation. (PDF 47 kb)
10142_2010_192_MOESM3_ESM.pdf (34 kb)
Supplementary 3 Transcripts that exhibited differential accumulation (P ≤ 0.0001; FDR ≤ 16%; ≥2.0 fold) between the resistant and susceptible genotypes in the 3Hb6 NIL pair after F. graminearum and water inoculation. (PDF 34 kb)
10142_2010_192_MOESM4_ESM.pptx (98 kb)
Supplementary Figure 1 Map locations of SFPs detected between each NIL pair. One hundred forty-seven of 1,186 single feature polymorphism (SFP) probe sets discovered between each NIL pair were mapped on barley chromosomes 1H to 7H using the integrated SNP genetic map (Close et al. 2009; Eighty-two, 60, and 5 SFP-containing probes were mapped in 2Hb8 (–), 2Hb10 (o), and 3Hb6 (×) NIL pairs, respectively. Almost half of the mapped 2Hb8 SFPs [38 (46%)] were located in the chromosome 2H region of introgression determined by SSR markers (64–72.7 cM). Approximately one quarter of the 2Hb10 SFPs (13 SFPs) mapped to the marker-defined region of contrast (78.6–89.9 cM) and 40% (24 SFPs) mapped to chromosome 2H. Four of the five mapped 3Hb6 SFPs (80%) were located in the region of contrast on chromosome 3H (52.73–66.6 cM), as determined by SSR markers. (PPT 97 kb)


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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Haiyan Jia
    • 1
    • 2
  • Benjamin P. Millett
    • 1
  • Seungho Cho
    • 1
    • 3
  • Hatice Bilgic
    • 1
    • 4
  • Wayne W. Xu
    • 5
  • Kevin P. Smith
    • 1
  • Gary J. Muehlbauer
    • 1
    Email author
  1. 1.Department of Agronomy and Plant GeneticsUniversity of MinnesotaSt. PaulUSA
  2. 2.MonsantoOwatonnaUSA
  3. 3.BASF Plant ScienceResearch Triangle ParkUSA
  4. 4.Department of MedicineUniversity of MinnesotaMinneapolisUSA
  5. 5.Supercomputing Institute for Advanced Computational ResearchUniversity of MinnesotaMinnesotaUSA

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