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Series GSE137198 Query DataSets for GSE137198
Status Public on Feb 14, 2020
Title Maize and Cercospora zeina transcriptome analysis during gray leaf spot foliar disease
Organism Zea mays
Experiment type Expression profiling by high throughput sequencing
Summary Gray leaf spot (GLS) disease of maize is caused by the fungus Cercospora zeina in African countries, such as South Africa. The plant material was from maize inbred line B73-QTL, which was introgressed with a QTL region for resistance to GLS from the maize inbred line CML444 (Berger et al (2014) BMC Genetics 15 60 www.biomedcentral.com/1471-2156/15/60 ). This QTL was named 10G2_GLS and 10H_GLS from two field trials in KwaZulu-Natal province, South Africa in that study. B73-QTL plants were planted in the field, and subjected to natural infection with C. zeina. This was the same field trial as B73 plants that were sampled for RNAseq and the data reported in Swart et al (2017) Mol Plant Microbe Interact 30 710-724 (2017)(GSE94442). Samples were collected from lower leaves with moderate GLS lesions and younger upper leaves of the same B73-QTL plants with very few immature GLS lesions. The first aim of the experiment was to compare the maize transcriptomes during C.zeina challenge between B73 (from GSE94442 data) and B73-QTL plants (this study). The second aim was to identify novel transcripts expressed from the QTL region, which may underlie the quantitative disease resistance to GLS. The third aim was to identify C. zeina genes expressed in planta during infection.
 
Overall design To collect material that reflected a difference between C. zeina infected B73-QTL leaves and control B73-QTL leaf material, samples were collected from two lower GLS infected leaves (second and third leaf internode below ear), and two upper leaves with minimal GLS symptoms (second and third internode above ear), respectively. The two lower leaves from each plant were pooled prior to RNA extraction, and the two upper leaves from each plant were pooled prior to RNA extraction. Upper and lower leaf samples from three maize B73-QTL plants were subjected to RNA sequencing individually. The three maize plants were selected randomly as one plant per row from three rows of ten B73-QTL plants each.
 
Contributor(s) Welgemoed T, Berger DK
Citation(s) 32231673
Tanya Welgemoed, Rian Pierneef, Lieven Sterck, Yves Van de Peer, Velushka Swart, Kevin D. Scheepers, Dave K. Berger (2020) *De novo** assembly of transcriptomes from a B73 maize line introgressed with a QTL for resistance to gray leaf spot disease reveals a candidate allele of a lectin receptor-like kinase* Frontiers in Plant Science doi: 10.3389/fpls.2020.00191 https://www.frontiersin.org/articles/10.3389/fpls.2020.00191/abstract
Submission date Sep 10, 2019
Last update date Apr 07, 2020
Contact name Dave Kenneth Berger
E-mail(s) dave.berger@up.ac.za
Organization name University of Pretoria
Department Dept. Plant and Soil Sciences, Forestry and Agricultural Biotechnology Institute (FABI)
Lab MPPI
Street address Plant Sciences Complex, Entrance 11 - Corner Lunnon Road & Herold Street
City Hatfield
State/province Gauteng
ZIP/Postal code 0083
Country South Africa
 
Platforms (1)
GPL15463 Illumina HiSeq 2000 (Zea mays)
Samples (6)
GSM4072832 B10.R1.A: upper leaf - plant 1
GSM4072833 B10.R2.A: upper leaf - plant 2
GSM4072834 B10.R3.A: upper leaf - plant 3
Relations
BioProject PRJNA564795
SRA SRP221247

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE137198_B10_edgeR.txt.gz 503.0 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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