GEO DataSets

(Submitter supplied) Background: Maize plants developed typical gray leaf spot disease (GLS) symptoms initiating at the lower leaves and progressing to upper leaves through the season. Leaf material was collected at 77 days after planting, at which stage there were a large number of GLS disease necrotic lesions on lower leaves (8% surface area on average determined by digital image analysis), but very few lesions and only at chlorotic stage on leaves above the ear (average of 0.2% lesion surface area). more...

Organism:

Zea mays

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15463

6 Samples

Download data: TXT

(Submitter supplied) Global transcriptome profiling of leaf tissue from 100 RILs. All plants were field-grown and infected with GLS. Objective was to carry out systems genetics of the transcriptional responses to GLS, by overlaying results obtained from co-expression correlation analysis, eQTL analysis and QTL analysis.

Organism:

Zea mays

Type:

Expression profiling by array

Platform:

GPL16089

50 Samples

Download data: GPR

(Submitter supplied) 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. more...

Organism:

Zea mays

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15463

6 Samples

Download data: TXT

(Submitter supplied) 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. more...

Organism:

Zea mays

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15463

6 Samples

Download data: TXT

(Submitter supplied) 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. more...

Organism:

Zea mays; Cercospora zeina

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL23023 GPL15463

6 Samples

Download data: TXT

(Submitter supplied) 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. more...

Organism:

Cercospora zeina

Type:

Expression profiling by high throughput sequencing

Platform:

GPL22723

7 Samples

Download data: TXT

(Submitter supplied) Analyses of QTLs for expression levels (eQTLs) of the genes reveal genetic relationship between expression variation and the regulator, thus unlocking the information for identifying the regulatory network. In this study, we used Affymetrix GeneChip Rice Genome Array to analyze eQTLs in rice flag leaf at heading date from 210 recombinant inbred lines (RILs) derived from a cross between Zhenshan 97 and Minghui 63. more...

Organism:

Oryza sativa

Type:

Expression profiling by array

Platform:

GPL2025

216 Samples

Download data: CEL

(Submitter supplied) Through hierarchical clustering of transcript abundance data across a diverse set of tissues and developmental stages in maize, we have identified a number of coexpression modules which describe the transcriptional circuits of maize development.

Organism:

Zea mays

Type:

Expression profiling by array

Platform:

GPL16720

150 Samples

Download data: CEL

(Submitter supplied) Duplication and divergence of primary pathway genes underlie the evolution of plant specialized metabolism; however, mechanisms partitioning parallel hormone and defence pathways are often speculative. For example, the primary pathway intermediate ent-kaurene is essential for gibberellin biosynthesis and is also a proposed precursor for maize antibiotics. By integrating transcriptional coregulation patterns, genome-wide association studies, combinatorial enzyme assays, proteomics and targeted mutant analyses, we show that maize kauralexin biosynthesis proceeds via the positional isomer ent-isokaurene formed by a diterpene synthase pair recruited from gibberellin metabolism. more...

Organism:

Zea mays

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20156

8 Samples

Download data: TXT

(Submitter supplied) Chronic complex diseases are difficult to model in animals and to reproducibly translate the findings to human disease. We argued that organs have core networks that are preserved between species and are predictably altered when homeostasis is disrupted. We altered hepatic homeostasis in mice by dietary challenge and compared the liver transcriptome to that in metabolic associated fatty liver disease (MAFLD) and liver cancer.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

24 Samples

Download data: TXT

(Submitter supplied) BACKGROUND: The genetics of transcript-level variation is an exciting field that has recently given rise to many studies. Genetical genomics studies have mainly focused on cell lines, blood cells or adipose tissues, from human clinical samples or mice inbred lines. Few eQTL studies have focused on animal tissues sampled from outbred populations to reflect natural genetic variation of gene expression levels in animals. more...

Organism:

Sus scrofa

Type:

Expression profiling by array

Platform:

GPL3729

57 Samples

Download data: TXT