Maize and Cercospora zeina transcriptome analysis during gray leaf spot foliar disease
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ABSTRACT:
PROVIDER: PRJNA564795 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10095068_1.fastq.gz | Fastqsanger.gz | |||
| SRR10095068_2.fastq.gz | Fastqsanger.gz | |||
| SRR10095069_1.fastq.gz | Fastqsanger.gz | |||
| SRR10095069_2.fastq.gz | Fastqsanger.gz | |||
| SRR10095070_1.fastq.gz | Fastqsanger.gz |
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Project description:Gray leaf spot (GLS) disease of maize can be caused by either of two sibling fungal species Cercospora zeina or Cercospora zeae-maydis. These species differ in geographical distribution, for example to date only C. zeina is associated with GLS in African countries, such as South Africa. Maize inbred line B73, which is susceptible to GLS, was planted in the field, and subjected to natural infection with C. zeina. Samples were collected from lower leaves with substantial GLS lesions and younger upper leaves of the same plants with very few immature GLS lesions. The first aim of the experiment was to determine which maize genes are induced in response to C. zeina infection. The second aim was to identify C. zeina genes expressed in planta during a compatible interaction. The third aim was to determine whether the C. zeina cercosporin biosynthetic (CTB) genes are expressed in planta. C. zeina fails to produce cercosporin in vitro in contrast to C. zeae-maydis. Cercosporin is a phytotoxin that is thought to play a role in pathogenicity of several Cercospora spp., however its role in the pathogenicity strategy of C. zeina is currently under investigation.
2017-06-14 | GSE94442 | GEO
Project description: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.
2020-02-14 | GSE137198 | GEO
Project description:Maize and Cercospora zeina transcriptome analysis during gray leaf spot foliar disease
| PRJNA369690 | ENA
Project description:Gray leaf spot (GLS) disease of maize can be caused by either of two sibling fungal species Cercospora zeina or Cercospora zeae-maydis. These species differ in geographical distribution, for example to date only C. zeina is associated with GLS in Africa. C. zeae-maydis isolates produce the phytotoxin cercosporin in vitro, whereas C. zeina does not. C.zeina was grown in different in vitro conditions to determine if the cercosporin biosynthesis genes were expressed. Furthermore, the choice of a range of different in vitro conditions was aimed at capturing transcript sequences from a broad range of genes to aid in identification of gene models for annotation of the C.zeina genome sequence.
2017-06-14 | GSE90705 | GEO
Project description:Purpose: The aim was to compare the transcriptome (using RNASeq) of a Cercospora zeina-resistant line (RIL387) and a Cercospora zeina susceptible line (RIL165), following inoculation by Cercospora zeina, in order to identify the defense responses associated with each line. Methods: Plants were grown in rows in three randomised blocks. Natural infection with Cercospora zeina was allowed to take place. Infected leves were harvested at the R5-early dent stage. Three leaves (one per plant) were harvested per block and pooled to make up one biological rep. One biological rep was harvested per block for each line. RNA was extracted and sequenced using Illumina. Sequencing reads were mapped to the B73 reference genome and were analysed using the Tuxedo suite of tools (Top hat, Cufflinks, Cuffmerge and Cuffdiff). Results: 5349 genes were differentially expressed between RIL165 and RIL387. In order to dissect responses specific to RIL165 and RIL387, 2394 genes with Log2FC ≤-1 were defined as having higher expression in RIL165 compared to RIL387 and 1393 genes with a Log2FC ≥1 as having increased expression in RIL387 compared to RIL165. Nine genes were validated using RT-qPCR. Four reference genes were included in the RT-qPCR analysis. Differentially expressed genes were further analysed for GO enrichment and pathway representation. Conclusions: Our RNA-Seq results show that a resistant and susceptible line repond differently to infection with Cercospora zeina, as differentially expressed genes were identified between the two lines.
2018-02-13 | GSE99005 | GEO
Project description:RNA sequencing of Cercospora zeina grown in vitro to annotate gene models
| PRJNA355557 | ENA
Project description:Cercospora zeina strain:CMW25467 Genome sequencing and assembly
| PRJNA355276 | ENA
Project description:Gray leaf spot (GLS), caused by the fungal pathogen Cercospora zeina (C. zeina), is one of the most destructive soil-borne diseases in maize (Zea mays L.), and severely reduces maize production in Southwest China. However, the mechanism of resistance to GLS is not clear and few resistant alleles have been identified. Two maize inbred lines, which were shown to be resistant (R6) and susceptible (S8) to GLS, were injected by C. zeina spore suspensions. Transcriptome analysis was carried out with leaf tissue at 0, 6, 24, 144, and 240 h after inoculation. Compared with 0 h of inoculation, a total of 667 and 419 stable common differentially expressed genes (DEGs) were found in the resistant and susceptible lines across the four timepoints, respectively. The DEGs were usually enriched in 'response to stimulus' and 'response to stress' in GO term analysis, and 'plant-pathogen interaction', 'MAPK signaling pathways', and 'plant hormone signal transduction' pathways, which were related to maize's response to GLS, were enriched in KEGG analysis. Weighted-Genes Co-expression Network Analysis (WGCNA) identified two modules, while twenty hub genes identified from these indicated that plant hormone signaling, calcium signaling pathways, and transcription factors played a central role in GLS sensing and response. Combing DEGs and QTL mapping, five genes were identified as the consensus genes for the resistance of GLS. Two genes, were both putative Leucine-rich repeat protein kinase family proteins, specifically expressed in R6. In summary, our results can provide resources for gene mining and exploring the mechanism of resistance to GLS in maize.
| S-EPMC8625984 | biostudies-literature
Project description:BACKGROUND: Gray leaf spot (GLS) is a globally important foliar disease of maize. Cercospora zeina, one of the two fungal species that cause the disease, is prevalent in southern Africa, China, Brazil and the eastern corn belt of the USA. Identification of QTL for GLS resistance in subtropical germplasm is important to support breeding programmes in developing countries where C.?zeina limits production of this staple food crop. RESULTS: A maize RIL population (F7:S6) from a cross between CML444 and SC Malawi was field-tested under GLS disease pressure at five field sites over three seasons in KwaZulu-Natal, South Africa. Thirty QTL identified from eleven field trials (environments) were consolidated to seven QTL for GLS resistance based on their expression in at least two environments and location in the same core maize bins. Four GLS resistance alleles were derived from the more resistant parent CML444 (bin 1.10, 4.08, 9.04/9.05, 10.06/10.07), whereas the remainder were from SC Malawi (bin 6.06/6.07, 7.02/7.03, 9.06). QTLs in bin 4.08 and bin 6.06/6.07 were also detected as joint QTLs, each explained more than 11% of the phenotypic variation, and were identified in four and seven environments, respectively. Common markers were used to allocate GLS QTL from eleven previous studies to bins on the IBM2005 map, and GLS QTL "hotspots" were noted. Bin 4.08 and 7.02/7.03 GLS QTL from this study overlapped with hotspots, whereas the bin 6.06/6.07 and bin 9.06 QTLs appeared to be unique. QTL for flowering time (bin 1.07, 4.09) in this population did not correspond to QTL for GLS resistance. CONCLUSIONS: QTL mapping of a RIL population from the subtropical maize parents CML444 and SC Malawi identified seven QTL for resistance to gray leaf spot disease caused by C.?zeina. These QTL together with QTL from eleven studies were allocated to bins on the IBM2005 map to provide a basis for comparison. Hotspots of GLS QTL were identified on chromosomes one, two, four, five and seven, with QTL in the current study overlapping with two of these. Two QTL from this study did not overlap with previously reported QTL.
| S-EPMC4059882 | biostudies-other