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| Status |
Public on Apr 15, 2021 |
| Title |
Transcriptome of two maize lines seedlings show resistance and susceptible to corn smut during infection of Ustilago maydis |
| Organism |
Zea mays |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
The biotrophic fungal pathogen Ustilago maydis cause common smut in maize, and lead to gall formation on all aerial organs, especially on maize kernel thus reduce yield. The interaction of U. maydis with maize is a well-established model to study the interaction between maize and biotrophic pathogen. U. maydis infection could activate host immune responses including: ROS accumulation, protease activation, salicylic acid signaling. U. maydis employ several strategies to overcome maize immune response, thus initial the biotrophic interaction with host. It has been suggested that genetic factors of maize host affected the disease severity of U. maydis infection, here we investigated the transcriptome profile of resistance and susceptible maize lines upon U. maydis infection, thus propose candidate maize genes involved in the defense response in maize to corn smut cause by U. maydis.
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| Overall design |
Maize 7 days seedlings of resistance CML326 and susceptible GEMS15 to U. maydis were inject with U. maydis at 1h before the light period as described above. Samples of the stem around inject site were collected at 0 hour (mock), 24 hours, 48 hours, and 96 hours post infection, and quickly frozen in liquid nitrogen. Three biological replicates were conducted, and six plants were sampled for each time point. Each subset of samples were pooled and ground in liquid nitrogen, and the RNA was extracted with TRIZOL (Invitrogen) followed the manufactory instruction. mRNA sequencing was performed with 150bp paired-end reads, approximately 24 million clean reads were obtained per sample.
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| Contributor(s) |
Ruan X, Gao X |
| Citation(s) |
34828395 |
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| Submission date |
Apr 14, 2021 |
| Last update date |
Dec 07, 2021 |
| Contact name |
Xinsen Ruan |
| E-mail(s) |
2017201073@njau.edu.cn
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| Organization name |
Nanjing Agricultural University
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| Street address |
Weigang #1
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| City |
Nanjing |
| ZIP/Postal code |
210095 |
| Country |
China |
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| Platforms (1) |
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| Samples (24)
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| Relations |
| BioProject |
PRJNA721951 |
| SRA |
SRP314832 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE172071_ZM_gene_count_matrix.csv.gz |
1.5 Mb |
(ftp)(http) |
CSV |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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